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Marmarelis ME, Scholes DG, McWilliams TL, Hwang WT, Kosteva J, Costello MR, Sun L, Singh AP, Lau-Min KS, Doucette A, Gabriel PE, Martella AO, Roy MA, Thompson JC, Cohen RB, Dougherty DW, Shulman LN, Langer CJ, Bekelman JE, Carpenter EL, Aggarwal C. Electronic Medical Record-Based Nudge Intervention to Increase Comprehensive Molecular Genotyping in Patients With Metastatic Non-Small Cell Lung Cancer: Results From a Prospective Clinical Trial. JCO Oncol Pract 2024:OP2400070. [PMID: 38959441 DOI: 10.1200/op.24.00070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/24/2024] [Accepted: 05/23/2024] [Indexed: 07/05/2024] Open
Abstract
PURPOSE Less than half of the patients with newly diagnosed metastatic non-small cell lung cancer (NSCLC) undergo comprehensive molecular testing. We designed an electronic medical record (EMR)-based "nudge intervention" to prompt plasma-based molecular testing at the time of initial medical oncology consultation. METHODS A nonrandomized prospective trial was conducted at the University of Pennsylvania's academic practice and two affiliated community practices. Molecular genotyping was performed by tissue- and/or plasma-based next generation sequencing methods. Comprehensive testing was defined as testing for EGFR, ALK, BRAF, ROS1, MET, RET, KRAS, and NTRK. Guideline-concordant treatment was defined as the use of the appropriate first-line (1L) therapy as per the National Comprehensive Cancer Network (NCCN) guidelines. Proportion of patients with comprehensive molecular genotyping results available at any time, molecular results available before 1L therapy, and guideline-concordant 1L treatment were compared between the preintervention and postintervention cohorts using Fisher's exact test or Pearson's chi-squared test. RESULTS Five hundred and thirty-three patients were included, 376 in the preintervention cohort and 157 in the postintervention cohort. After implementation of the EMR-based nudge, a higher proportion of patients underwent comprehensive molecular testing in the postintervention versus the preintervention cohort (100% v 88%, P = <.001), had results of comprehensive molecular testing available before initiating 1L treatment (97.3% v 91.6%, P = .026), and received NCCN guideline-concordant care (89.8% v 78.2%, P = .035). CONCLUSION Across three practice sites in a large health system, implementation of a provider team-focused EMR-based nudge intervention was feasible, and led to a higher number of patients with NSCLC undergoing comprehensive molecular genotyping. These findings demonstrate that behavioral nudges can promote molecular testing and should be studied further as a tool to improve guideline-concordant care in both community and academic sites.
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Affiliation(s)
- Melina E Marmarelis
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Dylan G Scholes
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Tara L McWilliams
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - Wei-Ting Hwang
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - John Kosteva
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael R Costello
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Lova Sun
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Aditi P Singh
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Kelsey S Lau-Min
- Division of Hematology-Oncology, Massachusetts General Cancer Center, Boston, MA
| | - Abigail Doucette
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Peter E Gabriel
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anthony O Martella
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Megan A Roy
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Jeffrey C Thompson
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Department of Pulmonary Medicine and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Roger B Cohen
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - David W Dougherty
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Lawrence N Shulman
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Corey J Langer
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Justin E Bekelman
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Erica L Carpenter
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Charu Aggarwal
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
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Corrêa R, Froner MB, Tabak BM. Assessing the Impact of Behavioral Sciences Interventions on Chronic Disease Prevention and Management: A Systematic Review of Randomized Controlled Trials. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:837. [PMID: 39063414 PMCID: PMC11277013 DOI: 10.3390/ijerph21070837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 06/15/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024]
Abstract
Studies have highlighted the importance of applying Behavioral Sciences interventions to develop equity in the prevention of chronic diseases in the public health domain. Our study aims to assess the evidence of this influence. We undertook a systematic review study using the electronic databases PubMed, Web of Science, Scopus and Cochrane, searching for work published between 2013 and 2023. The research analyzed the influence of Behavioral Sciences intervention studies on public health. This review was registered and published in PROSPERO, registration number CRD42023412377. The systematic search identified 2951 articles. The review analyzed 26 studies. The quality assessment of the articles showed an overall average of 74%, with the majority of studies being of high quality. The interventions with the best evidence for chronic diseases used framing messages, nudges and vouchers. Messages with incentives also showed satisfactory evidence. The most prevalent outcomes were related to screening tests and patient adherence to treatment. The current state of decision-making remains mainly at the patient level, with potential for further exploration of the roles of healthcare professionals and decision-makers in future research efforts. Limitations relate to the heterogeneity of the study sample, which hinders a more precise analysis of specific interventions and outcomes in chronic diseases.
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Affiliation(s)
- Rafael Corrêa
- School of Public Policy and Government, Getulio Vargas Foundation, SGAN 602 Módulos A,B,C, Asa Norte, Brasília 70830-020, Brazil; (M.B.F.); (B.M.T.)
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Kim HN, Moore KL, Sanders DL, Jackson M, Cohen C, Andrews R, Graham CS. Implementing Adult Hepatitis B Immunization and Screening Using Electronic Health Records: A Practical Guide. Vaccines (Basel) 2024; 12:536. [PMID: 38793787 PMCID: PMC11125811 DOI: 10.3390/vaccines12050536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/10/2024] [Accepted: 05/11/2024] [Indexed: 05/26/2024] Open
Abstract
IMPORTANCE Hepatitis B is a serious problem in the United States (US), with up to 2.4 million Americans living with a chronic infection. Only 26-32% of people living with hepatitis B in the US are diagnosed. Additionally, just 30% of all adults are vaccinated against the virus. In 2022, the Advisory Committee on Immunization Practices of the Centers for Disease Control and Prevention (CDC) updated adult hepatitis B vaccination recommendations to include all adults aged 19-59 years and those 60 years and older with risk factors for hepatitis B. Subsequently, in 2023, the CDC recommended that all adults be screened at least one time in their lives. OBSERVATIONS Electronic health record (EHR) tools (prompts, order sets, etc.) have proven to be an effective method of increasing hepatitis B screening and vaccination, but longstanding challenges and questions around hepatitis B vaccines and tests could prevent effectual EHR implementation. As the new recommendations directly impact providers who may have limited familiarity with hepatitis B, guidance on how to identify eligible patients and triggers, order sets to facilitate vaccine/test selection, and proper documentation and patient follow-up is necessary. CONCLUSIONS AND RELEVANCE This communication offers a practical framework for health systems to build an effective EHR strategy for the updated adult hepatitis B recommendations. We also provide comprehensive responses to clinicians' questions that are frequently asked prior to screening or vaccinating for hepatitis B.
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Affiliation(s)
- H. Nina Kim
- Division of Allergy & Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA 98104, USA
| | - Kelly L. Moore
- Immunize.org, St. Paul, MN 55116, USA
- Department of Health Policy, Vanderbilt School of Medicine, Nashville, TN 37232, USA
| | | | | | - Chari Cohen
- Hepatitis B Foundation, Doylestown, PA 18902, USA
| | - Richard Andrews
- Houston Viral Hepatitis Task Force, Houston, TX 77040, USA
- Advisory Panel, Hep B United, Doylestown, PA 18902, USA
| | - Camilla S. Graham
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
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Hellewell J, Lindsay K, Nielsen K, Christensen E, Daley L, Jones K, Compagni K. Choice Architecture in Opioid Safety Alerting. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2024; 2023:417-425. [PMID: 38222392 PMCID: PMC10785846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
The need for effective and efficient clinical decision support (CDS) embedded in electronic health record (EHR) processes is growing. Using choice architecture design strategies may increase effectiveness of CDS solutions. The authors describe implementation of an opioid risk alert and subsequent revisions of that alert to increase effectiveness and reduce alert volumes. The first version of the alert used an opt-in choice architecture when recommending naloxone and the second version used an active choice design. The percentage of opioid prescriptions ordered with naloxone prescribed within the last 12 months increased significantly after implementation of the first version of the alert and then further increased significantly after implementation of the second version. Alert volumes decreased over the same timeframe. An education campaign was also implemented during the timeframe studied and likely also contributed to the naloxone outcomes seen.
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De Groot LM, Shearer K, Sambani C, Kaonga E, Nyirenda R, Mbendera K, Golub JE, Hoffmann CJ, Mulder C. Health care providers acceptance of default prescribing of TB preventive treatment for people living with HIV in Malawi: a qualitative study. BMC Health Serv Res 2024; 24:15. [PMID: 38178173 PMCID: PMC10768226 DOI: 10.1186/s12913-023-10493-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/18/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) preventive treatment (TPT) substantially reduces the risk of developing active TB for people living with HIV (PLHIV). We utilized a novel implementation strategy based on choice architecture (CAT) which makes TPT prescribing the default option. Through CAT, health care workers (HCWs) need to "opt-out" when choosing not to prescribe TPT to PLHIV. We assessed the prospective, concurrent, and retrospective acceptability of TPT prescribing among HCWs in Malawi who worked in clinics participating in a cluster randomized trial of the CAT intervention. METHODS 28 in-depth semi-structured interviews were conducted with HCWs from control (standard prescribing approach) and intervention (CAT approach) clinics. The CAT approach was facilitated in intervention clinics using a default prescribing module built into the point-of-care HIV Electronic Medical Record (EMR) system. An interview guide for the qualitative CAT assessment was developed based on the theoretical framework of acceptability and on the normalization process theory. Thematic analysis was used to code the data, using NVivo 12 software. RESULTS We identified eight themes belonging to the three chronological constructs of acceptability. HCWs expressed no tension for changing the standard approach to TPT prescribing (prospective acceptability); however, those exposed to CAT described several advantages, including that it served as a reminder to prescribe TPT and routinized TPT prescribing (concurrent acceptability). Some felt that CAT may reduce HCW´s autonomy and might lead to inappropriate TPT prescribing (retrospective acceptability). CONCLUSIONS The default prescribing module for TPT has now been incorporated into the point-of-care EMR system nationally in Malawi. This seems to fit the acceptability of the HCWs. Moving forward, it is important to train HCWs on how the EMR can be leveraged to determine who is eligible for TPT and who is not, while acknowledging the autonomy of HCWs.
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Affiliation(s)
- L M De Groot
- TB Elimination and Health System Innovations - KNCV Tuberculosis Foundation, The Hague, The Netherlands
| | - K Shearer
- Center for Tuberculosis Research, John Hopkins University, Baltimore, MD, USA
- Division of Infectious Diseases, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - C Sambani
- Department of Research, Ministry of Health, Lilongwe, Malawi
| | - E Kaonga
- KNCV Tuberculosis Foundation, Lilongwe, Malawi
| | - R Nyirenda
- Department of HIV and AIDS, Ministry of Health, Lilongwe, Malawi
| | - K Mbendera
- National Tuberculosis and Leprosy Elimination Program, Ministry of Health, Lilongwe, Malawi
| | - J E Golub
- Center for Tuberculosis Research, John Hopkins University, Baltimore, MD, USA
- Division of Infectious Diseases, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - C J Hoffmann
- Center for Tuberculosis Research, John Hopkins University, Baltimore, MD, USA
- Division of Infectious Diseases, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - C Mulder
- TB Elimination and Health System Innovations - KNCV Tuberculosis Foundation, The Hague, The Netherlands.
- Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
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Johansen ND, Vaduganathan M, Bhatt AS, Biering-Sørensen T. Nudging a Nation - The Danish NUDGE Trial Concept. NEJM EVIDENCE 2024; 3:EVIDctw2300024. [PMID: 38320517 DOI: 10.1056/evidctw2300024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Danish NUDGE Trial ConceptRandomized encouragement trials randomize to an opportunity to receive treatment instead of to the treatment. Here, Johansen and colleagues combine randomized encouragement trials with several advantages inherent in the Danish health system.
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Affiliation(s)
- Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston
- Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston
| | - Ankeet S Bhatt
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston
- Center for Cardiometabolic Implementation Science, Brigham and Women's Hospital, Boston
- Division of Research, Kaiser Permanente San Francisco Medical Center, San Francisco
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen
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Hashemi S, Bai L, Gao S, Burstein F, Renzenbrink K. Sharpening clinical decision support alert and reminder designs with MINDSPACE: A systematic review. Int J Med Inform 2024; 181:105276. [PMID: 37948981 DOI: 10.1016/j.ijmedinf.2023.105276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/07/2023] [Accepted: 10/28/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Clinical decision support (CDS) alerts and reminders aim to influence clinical decisions, yet they are often designed without considering human decision-making behaviour. While this behaviour is comprehensively described by behavioural economics (BE), the sheer volume of BE literature poses a challenge to designers when identifying behavioural effects with utility to alert and reminder designs. This study tackles this challenge by focusing on the MINDSPACE framework for behaviour change, which collates nine behavioural effects that profoundly influence human decision-making behaviour: Messenger, Incentives, Norms, Defaults, Salience, Priming, Affect, Commitment, and Ego. METHOD A systematic review searching MEDLINE, Embase, PsycINFO, and CINAHL Plus to explore (i) the usage of MINDSPACE effects in alert and reminder designs and (ii) the efficacy of those alerts and reminders in influencing clinical decisions. The search queries comprised ten Boolean searches, with nine focusing on the MINDSPACE effects and one focusing on the term mindspace. RESULTS 50 studies were selected from 1791 peer-reviewed journal articles in English from 1970 to 2022. Except for ego, eight of nine MINDSPACE effects were utilised to design alerts and reminders, with defaults and norms utilised the most in alerts and reminders, respectively. Overall, alerts and reminders informed by MINDSPACE effects showed an average 71% success rate in influencing clinical decisions (alerts 73%, reminders 69%). Most studies utilised a single effect in their design, with higher efficacy for alerts (64%) than reminders (41%). Others utilised multiple effects, showing higher efficacy for reminders (28%) than alerts (9%). CONCLUSION This review presents sufficient evidence demonstrating the MINDSPACE framework's merits for designing CDS alerts and reminders with human decision-making considerations. The framework can adequately address challenges in identifying behavioural effects pertinent to the effective design of CDS alerts and reminders. The review also identified opportunities for future research into other relevant effects (e.g., framing).
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Affiliation(s)
- Sarang Hashemi
- Department of Human-Centred Computing, Faculty of Information Technology, Monash University, Melbourne, VIC, Australia.
| | - Lu Bai
- Department of Human-Centred Computing, Faculty of Information Technology, Monash University, Melbourne, VIC, Australia
| | - Shijia Gao
- Department of Human-Centred Computing, Faculty of Information Technology, Monash University, Melbourne, VIC, Australia
| | - Frada Burstein
- Department of Human-Centred Computing, Faculty of Information Technology, Monash University, Melbourne, VIC, Australia
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Malik AA, Ahmed N, Shafiq M, Elharake JA, James E, Nyhan K, Paintsil E, Melchinger HC, Team YBI, Malik FA, Omer SB. Behavioral interventions for vaccination uptake: A systematic review and meta-analysis. Health Policy 2023; 137:104894. [PMID: 37714082 PMCID: PMC10885629 DOI: 10.1016/j.healthpol.2023.104894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/22/2023] [Accepted: 08/15/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Human behavior and more specifically behavioral insight-based approaches to vaccine uptake have often been overlooked. While there have been a few narrative reviews indexed in Medline on behavioral interventions to increase vaccine uptake, to our knowledge, none have been systematic reviews and meta-analyses covering not just high but also low-and-middle income countries. METHODS We included 613 studies from the Medline database in our systematic review and meta-analysis categorizing different behavioral interventions in 9 domains: education campaigns, on-site vaccination, incentives, free vaccination, institutional recommendation, provider recommendation, reminder and recall, message framing, and vaccine champion. Additionally, considering that there is variability in the acceptance of vaccines among different populations, we assessed studies from both high-income countries (HICs) and low- to middle-income countries (LMICs), separately. FINDINGS Our results showed that behavioral interventions can considerably improve vaccine uptake in most settings. All domains that we examined improved vaccine uptake with the highest effect size associated with provider recommendation (OR: 3.4 (95%CI: 2.5-4.6); Domain: motivation) and on-site vaccination (OR: 2.9 (95%CI: 2.3-3.7); Domain: practical issues). While the number of studies conducted in LMICs was smaller, the quality of studies was similar with those conducted in HICs. Nevertheless, there were variations in the observed effect sizes. INTERPRETATION Our findings indicate that "provider recommendation" and "on-site vaccination" along with other behavioral interventions can be employed to increase vaccination rates globally.
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Affiliation(s)
- Amyn A Malik
- Yale Institute for Global Health, New Haven, CT 06510, USA; Analysis Group, Inc, Boston, MA 02199, USA
| | - Noureen Ahmed
- UT Southwestern Peter O'Donnell Jr. School of Public Health, Dallas, TX 75390, USA
| | - Mehr Shafiq
- Yale Institute for Global Health, New Haven, CT 06510, USA; Columbia University School of Public Health, New York, NY 10032, USA
| | - Jad A Elharake
- Yale Institute for Global Health, New Haven, CT 06510, USA; UT Southwestern Peter O'Donnell Jr. School of Public Health, Dallas, TX 75390, USA; The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Erin James
- Yale Institute for Global Health, New Haven, CT 06510, USA
| | - Kate Nyhan
- Yale University, New Haven, CT 06510, USA
| | - Elliott Paintsil
- Yale Institute for Global Health, New Haven, CT 06510, USA; Columbia University Institute of Human Nutrition, New York, NY 10032, USA
| | | | | | - Fauzia A Malik
- UT Southwestern Peter O'Donnell Jr. School of Public Health, Dallas, TX 75390, USA
| | - Saad B Omer
- UT Southwestern Peter O'Donnell Jr. School of Public Health, Dallas, TX 75390, USA.
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Nazaret A, Sapiro G. A large-scale observational study of the causal effects of a behavioral health nudge. SCIENCE ADVANCES 2023; 9:eadi1752. [PMID: 37738345 PMCID: PMC10516489 DOI: 10.1126/sciadv.adi1752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 08/18/2023] [Indexed: 09/24/2023]
Abstract
Nudges are interventions promoting healthy behavior without forbidding options or substantial incentives; the Apple Watch, for example, encourages users to stand by delivering a notification if they have been sitting for the first 50 minutes of an hour. On the basis of 76 billion minutes of observational standing data from 160,000 subjects in the public Apple Heart and Movement Study, we estimate the causal effect of this notification using a regression discontinuity design for time series data with time-varying treatment. We show that the nudge increases the probability of standing by up to 43.9% and remains effective with time. The nudge's effectiveness increases with age and is independent of gender. Closing Apple Watch Activity Rings, a visualization of participants' daily progress in Move, Exercise, and Stand, further increases the nudge's impact. This work demonstrates the effectiveness of behavioral health interventions and introduces tools for investigating their causal effect from large-scale observations.
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Affiliation(s)
- Achille Nazaret
- Department of Computer Science, Columbia University, New York, NY, USA
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Chapman L, Kelly M, Piggott RS, Carr B, Courtney G, McDonagh R, O'Connell B, Bannan C, Cunningham C, Briggs R. An electronic medical record reminder is independently associated with improved opportunistic influenza vaccination rates for older inpatients. J R Coll Physicians Edinb 2023; 53:169-172. [PMID: 37491778 DOI: 10.1177/14782715231187763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND Influenza vaccination will have added importance this winter given the possibility of further waves of the COVID-19 pandemic. This study examines the impact of an electronic medical record (EMR) reminder on influenza vaccine uptake among eligible hospital inpatients. METHODS We included a convenience sample of 750 adults (median age 77 years) who are eligible for influenza vaccination (⩾65 years and/or length of stay >30 days). A live electronic dashboard identified patients eligible for vaccination, prompting reminders sent to the clinical teams via the EMR. RESULTS The EMR reminder was associated with almost a 50% higher likelihood of vaccination after adjusting for other covariates (odds ratio 1.48 (95% confidence interval 1.00-2.20); p = 0.048). DISCUSSION Reminders sent to the clinical team via the EMR appear to be an effective means of increasing vaccine uptake and should be considered as part of this year's drive to vaccinate eligible patients in hospital.
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Affiliation(s)
- Lucy Chapman
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Mary Kelly
- Department of Pharmacy, St James's Hospital, Dublin, Ireland
| | - Raymond Simon Piggott
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Bernard Carr
- Department of Pharmacy, St James's Hospital, Dublin, Ireland
| | - Grainne Courtney
- Information Management Systems Department, St James's Hospital, Dublin, Ireland
| | - Ruth McDonagh
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Brian O'Connell
- Department of Microbiology, St James's Hospital, Dublin, Ireland
| | - Ciaran Bannan
- Department of Infectious Diseases, St James's Hospital, Dublin, Ireland
| | - Conal Cunningham
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Robert Briggs
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
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Zhu X, Jacobson RM, MacLaughlin KL, Sauver JS, Griffin JM, Finney Rutten LJ. Parent-reported Barriers and Parental Beliefs Associated with Intentions to Obtain HPV Vaccination for Children in a Primary care Patient Population in Minnesota, USA. J Community Health 2023; 48:678-686. [PMID: 36920709 PMCID: PMC10015522 DOI: 10.1007/s10900-023-01205-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/18/2023] [Indexed: 03/16/2023]
Abstract
Human papillomavirus (HPV) vaccine uptake among adolescents remains suboptimal in the US. The COVID-19 pandemic posed new challenges to increase HPV vaccination rates. To characterize parent-reported barriers to obtain HPV vaccination for their children and to identify psychosocial factors associated with parents' intention to vaccinate their children for HPV, we administered parent surveys between April 2020 and January 2022 during a randomized pragmatic trial assessing the impact of evidence-based implementation strategies on HPV vaccination rates for adolescent patients at six Mayo Clinic primary care practices in Southeast Minnesota. A total of 342 surveys were completed (response rate 34.1%). Analyses were focused on parents of unvaccinated children (n = 133). The survey assessed the main reason the child did not receive the HPV vaccine, parental beliefs about the vaccine, and the parent's intention to vaccinate the child for HPV in the next 12 months. Frequently reported awareness and access barriers to HPV vaccination included not knowing the child was due (17.8%) and COVID-19 related delay (11.6%). Frequently reported attitudinal barriers include the belief that the child was too young for the vaccine (17.8%) and that the vaccine is not proven to be safe (16.3%). Injunctive social norm (Adjusted-OR = 3.15, 95%CI: 1.94, 5.41) and perceived harm beliefs (Adjusted-OR = 0.58, 95%CI: 0.35, 0.94) about the HPV vaccine were positively and negatively associated with HPV vaccination intention, respectively. Our findings suggest that continued efforts to overcome parental awareness, access, and attitudinal barriers to HPV vaccination are needed and underscore the importance of utilizing evidence-based health system-level interventions.
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Affiliation(s)
- Xuan Zhu
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA.
| | - Robert M Jacobson
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, 200 First Street SW, 55905, Rochester, Rochester, MN, USA
| | - Kathy L MacLaughlin
- Department of Family Medicine, Mayo Clinic, 200 First Street SW, 55905, Rochester, Rochester, MN, USA
| | - Jennifer St Sauver
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, 55905, Rochester, Rochester, MN, USA
| | - Joan M Griffin
- Division of Health Care Delivery Research, Mayo Clinic, 200 First Street SW, 55905, Rochester, Rochester, MN, USA
| | - Lila J Finney Rutten
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, 55905, Rochester, Rochester, MN, USA
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12
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Triebwasser JE, Lewey J, Walheim L, Sehdev HM, Srinivas SK. Electronic Reminder to Transition Care After Hypertensive Disorders of Pregnancy: A Randomized Controlled Trial. Obstet Gynecol 2023; 142:91-98. [PMID: 37294089 PMCID: PMC11180538 DOI: 10.1097/aog.0000000000005237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/20/2023] [Indexed: 06/10/2023]
Abstract
OBJECTIVE Scalable interventions are needed to improve preventive care for those with increased cardiovascular disease (CVD) risk identified during pregnancy. We hypothesized that an automated reminder message for clinicians (nudge) would increase counseling at the postpartum visit on patient transitions of care. METHODS We conducted a single-center, randomized controlled trial including birthing people with a hypertensive disorder of pregnancy evaluating a nudge compared with usual care. The nudge, including counseling phrases and patient-specific information on hypertensive diagnosis, was sent to the obstetric clinician through the electronic medical record up to 7 days before the postpartum visit. The primary outcome was documentation of counseling on transitions of care to primary care or cardiology. Secondary outcomes were documentation of CVD risk, use of counseling phrases, and preventive care visit within 6 months. A sample size of 94 per group (n=188) was planned to compare the nudge intervention with usual care; given the anticipated loss to follow-up, the sample size was increased to 222. Intention-to-treat analyses were performed, with P <.05 considered significant. RESULTS From February to June 2021, 392 patients were screened, and 222 were randomized and analyzed. Of these, 205 (92.3%) attended a postpartum visit. Groups were similar, but more women in the usual care group had diabetes (16.1% vs 6.7%, P =.03). After adjustment for diabetes, patients in the nudge group were more likely to have documented counseling on transitions of care (38.8% vs 26.2%, adjusted relative risk [aRR] 1.53, 95% CI 1.02-2.31), CVD risk (21.4% vs 8.4%, aRR 2.57, 95% CI 1.20-5.49), and use of aspirin in a future pregnancy (14.3% vs 1.9%, aRR 7.49, 95% CI 1.66-33.93). Counseling phrases were used more often in the nudge group (11.2% vs 0.9%, aRR 12.27, 95% CI 1.50-100.28). Preventive care visit attendance did not differ by group (22.1% vs 24.6%, aRR 0.91, 95% CI 0.57-1.47). CONCLUSION A timely electronic reminder to obstetric clinicians improved counseling about transitions of care after hypertensive disorders of pregnancy but did not result in increased preventive care visit attendance. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov , NCT04660032.
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Affiliation(s)
- Jourdan E Triebwasser
- Divisions of Maternal-Fetal Medicine and Cardiology, University of Pennsylvania Perelman School of Medicine, and the Department of Obstetrics & Gynecology, Pennsylvania Hospital, Philadelphia, Pennsylvania; and the Division of Maternal Fetal Medicine, University of Michigan, Ann Arbor, Michigan
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13
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Xu MA, Choi J, Capasso A, DiClemente R. Patient-Provider Health Communication Strategies: Enhancing HPV Vaccine Uptake among Adolescents of Color. Healthcare (Basel) 2023; 11:1702. [PMID: 37372820 DOI: 10.3390/healthcare11121702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/04/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Cervical cancer remains a public health issue in the United States, particularly among stigmatized racial and ethnic populations. The human papillomavirus (HPV) vaccine has been clinically proven to prevent cervical cancers, and other HPV-associated cancers, among men and women. However, HPV vaccine uptake is suboptimal; only 55% of adolescents complete the two-dose series by age 15. Past research has shown that provider HPV vaccine communication for people of marginalized races/ethnicities is subpar. This article focuses on provider communication strategies to promote HPV vaccine uptake effectively and equitably. The authors reviewed the literature on evidence-based patient-provider HPV vaccine communication techniques to create a set of communication language providers could use and avoid using to enhance HPV vaccine acceptance and uptake among adolescents of marginalized racial and ethnic groups. Evidence has shown that information and the manner of dissemination are critical for influencing HPV vaccine uptake. These communication strategies must be suited to the context of the targeted population, and the message content can be broadly categorized into source, content, and modality. Strategies to improve patient-provider communication among adolescents of color using source, modality, and content include the following: (1) Source: increase provider self-efficacy to provide the recommendation, building rapport between providers and parents; (2) Content: persistent, forceful language with minimal acquiescence should be employed, reframing the conversation focus from sex to cancer; and (3) Modality: use multiple vaccine reminder modalities, and work with the community to culturally adapt the vaccination language. Utilizing effective behavior-change communication adapted for adolescents of color can reduce missed opportunities for HPV prevention, potentially decreasing racial and ethnic disparities in HPV-related morbidity and mortality.
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Affiliation(s)
- Mia Ann Xu
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY 10003, USA
| | - Jasmin Choi
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY 10003, USA
| | | | - Ralph DiClemente
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY 10003, USA
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14
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Vaikutyte R, Kuliese M, Mickiene A, Jancoriene L, Zablockiene B, Gefenaite G. Influenza vaccine effectiveness in patients hospitalized with severe acute respiratory infection in Lithuania during the 2019-2020 influenza season: a test negative case - control study. Virol J 2023; 20:67. [PMID: 37046288 PMCID: PMC10091321 DOI: 10.1186/s12985-023-02015-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Influenza is a contagious viral airborne disease that adds to the clinical and economic burden on the healthcare system. It could be prevented substantially by seasonal influenza vaccination. Seasonal influenza vaccine effectiveness (SIVE) varies a lot and should therefore be monitored. This report aims to update age-stratified SIVE estimates among patients hospitalized due to severe acute respiratory infection (SARI) during the 2019-2020 influenza season. METHODS We performed a test-negative case-control study between December 2019 and April 2020 influenza season. We estimated SIVE and its 95% confidence intervals (95% CI) with logistic regression as (1-odds ratio)*100%. The models were adjusted for covariates that changed the unadjusted SIVE by ≥ 10%. RESULTS Among 84 participants, 32 (38.1%) were influenza positive, mostly with A(H1N1)pdm09 (25 cases; 78.1%). SIVE against any influenza adjusted for age and heart disease was 39.2% (95% CI: -119.3%, 83.1%). Age-stratified point estimates adjusted for heart diseases indicated different SIVE, and were 64.0% (95% CI: -309.2%, 96.8%) and 21.6% (95% CI: -252.2%, 82.6%) for 18-64 and ≥ 65 year-old participants, respectively. CONCLUSIONS The point estimates suggested low to moderate SIVE against any influenza among hospitalized 18-64-year-old SARI participants, while low estimates were found in the ≥ 65-year-old group. Although broad SIVE confidence intervals indicate a small sample size and therefore the results can serve only as indicatory, they are in line with the estimates reported by other studies during the 2019-2020 season.
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Affiliation(s)
- Roberta Vaikutyte
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Baltijos Street 120, Kaunas, 47116, Lithuania.
| | - Monika Kuliese
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Baltijos Street 120, Kaunas, 47116, Lithuania
| | - Aukse Mickiene
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Baltijos Street 120, Kaunas, 47116, Lithuania
| | - Ligita Jancoriene
- Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariskiu street 14, Vilnius, 08406, Lithuania
- Center of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, Santariskiu Street 14, Vilnius, 08406, Lithuania
| | - Birute Zablockiene
- Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariskiu street 14, Vilnius, 08406, Lithuania
- Center of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, Santariskiu Street 14, Vilnius, 08406, Lithuania
| | - Giedre Gefenaite
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Baltijos Street 120, Kaunas, 47116, Lithuania
- Department of Health Sciences, Faculty of Medicine, Lund University, Box 157, Lund, 22100, Sweden
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15
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Tuckerman J, Harper K, Sullivan TR, Cuthbert AR, Fereday J, Couper J, Smith N, Tai A, Kelly A, Couper R, Friswell M, Flood L, Blyth CC, Danchin M, Marshall HS. Short Message Service Reminder Nudge for Parents and Influenza Vaccination Uptake in Children and Adolescents With Special Risk Medical Conditions: The Flutext-4U Randomized Clinical Trial. JAMA Pediatr 2023; 177:337-344. [PMID: 36806893 PMCID: PMC9941970 DOI: 10.1001/jamapediatrics.2022.6145] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 12/07/2022] [Indexed: 02/22/2023]
Abstract
Importance Children with chronic medical conditions are at increased risk of severe influenza. Uptake of influenza vaccination in children and adolescents with these identified special risk medical conditions (SRMCs) is suboptimal. Objective To assess the effectiveness of Flutext-4U, a parent short message service (SMS) reminder nudge intervention, in increasing influenza immunization in children and adolescents with SRMCs. Design, Setting, and Participants This randomized clinical trial was conducted at a tertiary pediatric hospital in Adelaide, South Australia, from April 15 to September 30, 2021. Children and adolescents aged 6 months to younger than 18 years with SRMCs and a subspecialist outpatient appointment over a 5-month period during the Australian seasonal influenza vaccination season (April-August 2021) were eligible to participate. Follow-up was until September 30, 2021. Interventions Participants were randomly assigned (1:1 ratio) to control: clinician nudges (hospital vaccine availability, ease of access, and recommendation from hospital subspecialists) or SMS intervention (control conditions plus an additional SMS reminder nudge to parents), with randomization stratified by age group (<5 years, 5-14 years, or >14 to <18 years). Main Outcomes and Measures The primary outcome was influenza vaccination, as confirmed by the Australian Immunisation Register. Results A total of 600 participants (intervention group: 298 [49.7%]; mean [SD] age, 11.5 [4.6] years; 162 female participants [54.4%]; control group: 302 [50.3%]; mean [SD] age, 11.4 [4.7] years; 155 female participants [51.3%]) were included. Influenza vaccination was 38.6% (113 of 293) in the SMS intervention group compared with 26.2% (79 of 302) in the control group (adjusted odds ratio [aOR], 1.79; 95% CI, 1.27-2.55; P = .001). Time to vaccine receipt was significantly lower among SMS participants (adjusted hazard ratio, 1.67; 95% CI, 1.25-2.22; P < .001). For participants randomly assigned by June 15, a significantly greater proportion receiving the SMS intervention were vaccinated during the optimal delivery period April to June 30 (SMS group: 40.0% [76 of 190] vs 25.4% [50 of 197]; aOR, 1.97; 95% CI, 1.28-3.06; P = .002). Conclusions and Relevance Results of this randomized clinical trial suggest that an additional SMS reminder nudge for parents delivered in the tertiary care hospital setting to children and adolescents with SMRCs resulted in higher influenza vaccine uptake compared with clinician nudges alone. Trial Registration ANZCTR Identifier: ACTRN12621000463875.
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Affiliation(s)
- Jane Tuckerman
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Vaccine Uptake Group, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, Victoria, Australia
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Kelly Harper
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Thomas R. Sullivan
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Alana R. Cuthbert
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Jennifer Fereday
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
| | - Jennifer Couper
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Nicholas Smith
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
| | - Andrew Tai
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Andrew Kelly
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
| | - Richard Couper
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
| | - Mark Friswell
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
| | - Louise Flood
- Communicable Disease Control Branch, South Australian Department of Health and Wellbeing, Adelaide, South Australia, Australia
| | - Christopher C. Blyth
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University Western Australia, Perth, Western Australia, Australia
- Department of Infectious Diseases, Perth Children's Hospital, Perth, Western Australia, Australia
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia
- Department of Microbiology, PathWest Laboratory Medicine WA, Perth, Western Australia, Australia
| | - Margie Danchin
- Vaccine Uptake Group, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, Victoria, Australia
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
- Department of General Medicine, The Royal Children’s Hospital, Melbourne, Victoria, Australia
| | - Helen S. Marshall
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Women's and Children’s Health Network, North Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
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16
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Parker J, Young P, Hodson N, Shelton CL. Green nudges for sustainable anaesthetic practice: institutional support to make individual change easier. Anaesthesia 2023. [PMID: 36860116 DOI: 10.1111/anae.15991] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2023] [Indexed: 03/03/2023]
Affiliation(s)
- J Parker
- Faculty of Health and Medicine, Lancaster Medical School, Lancaster University, Lancaster, UK
| | - P Young
- North West School of Anaesthesia, Health Education England North West, Manchester, UK
| | - N Hodson
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - C L Shelton
- Faculty of Health and Medicine, Lancaster Medical School, Lancaster University, Lancaster, UK.,Department of Anaesthesia, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
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17
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Grouse CK, Waung MW, Holmgren AJ, Mongan J, Neinstein A, Josephson SA, Khanna RR. Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions. J Am Med Inform Assoc 2023; 30:545-550. [PMID: 36519951 PMCID: PMC9933068 DOI: 10.1093/jamia/ocac238] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/26/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Electronic health records (EHRs) offer decision support in the form of alerts, which are often though not always interruptive. These alerts, though sometimes effective, can come at the cost of high cognitive burden and workflow disruption. Less well studied is the design of the EHR itself-the ordering provider's "choice architecture"-which "nudges" users toward alternatives, sometimes unintentionally toward waste and misuse, but ideally intentionally toward better practice. We studied 3 different workflows at our institution where the existing choice architecture was potentially nudging providers toward erroneous decisions, waste, and misuse in the form of inappropriate laboratory work, incorrectly specified computerized tomographic imaging, and excessive benzodiazepine dosing for imaging-related sedation. We changed the architecture to nudge providers toward better practice and found that the 3 nudges were successful to varying degrees in reducing erroneous decision-making and mitigating waste and misuse.
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Affiliation(s)
- Carrie K Grouse
- Department of Neurology, UCSF, San Francisco, California, USA
| | - Maggie W Waung
- Department of Neurology, UCSF, San Francisco, California, USA
| | - A Jay Holmgren
- Center for Clinical Informatics and Improvement Research, UCSF, San Francisco, California, USA
| | - John Mongan
- Department of Radiology, UCSF, San Francisco, California, USA
- Center for Intelligent Imaging, Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Aaron Neinstein
- Division of Endocrinology, Department of Medicine, UCSF, San Francisco, California, USA
- UCSF Center for Digital Health Innovation, UCSF, San Francisco, California, USA
| | | | - Raman R Khanna
- Division of Hospital Medicine, Department of Medicine, UCSF, San Francisco, California, USA
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18
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Steinhauser S, Raptis G. Design propositions for nudging in healthcare: Adoption of national electronic health record systems. Digit Health 2023; 9:20552076231181208. [PMID: 37325075 PMCID: PMC10262653 DOI: 10.1177/20552076231181208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 05/24/2023] [Indexed: 06/17/2023] Open
Abstract
Objectives Electronic health records (EHRs) are considered important for improving efficiency and reducing costs of a healthcare system. However, the adoption of EHR systems differs among countries and so does the way the decision to participate in EHRs is presented. Nudging is a concept that deals with influencing human behaviour within the research stream of behavioural economics. In this paper, we focus on the effects of the choice architecture on the decision for the adoption of national EHRs. Our study aims to link influences on human behaviour through nudging with the adoption of EHRs to investigate how choice architects can facilitate the adoption of national information systems. Methods We employ a qualitative explorative research design, namely the case study method. Using theoretical sampling, we selected four cases (i.e., countries) for our study: Estonia, Austria, the Netherlands, and Germany. We collected and analyzed data from various primary and secondary sources: ethnographic observation, interviews, scientific papers, homepages, press releases, newspaper articles, technical specifications, publications from governmental bodies, and formal studies. Results The findings from our European case studies show that designing for EHR adoption should encompass choice architecture elements (i.e., defaults), technical elements (i.e., choice granularity and access transparency), and institutional elements (i.e., regulations for data protection, information campaigns, and financial incentives) in combination. Conclusions Our findings provide insights on the design of the adoption environments of large-scale, national EHR systems. Future research could estimate the magnitude of effects of the determinants.
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Affiliation(s)
- Stefanie Steinhauser
- Health Economy and Entrepreneurship, Technical University of Applied Sciences Amberg-Weiden, Weiden, Germany
| | - Georgios Raptis
- Computer Science / eHealth, OTH Regensburg, University of Applied Sciences, Regensburg, Germany
- Regensburg Center of Biomedical Engineering, Regensburg, Germany
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19
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Vandenplas Y, Simoens S, Turk F, Vulto AG, Huys I. Applications of Behavioral Economics to Pharmaceutical Policymaking: A Scoping Review with Implications for Best-Value Biological Medicines. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2022; 20:803-817. [PMID: 35972683 PMCID: PMC9379236 DOI: 10.1007/s40258-022-00751-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Pharmaceutical policies are generally based on the assumption that involved stakeholders make rational decisions. However, behavioral economics has taught us that this is not always the case as people deviate from rational behavior in rather predictable patterns. This scoping review examined to what extent behavioral concepts have already been applied in the pharmaceutical domain and what evidence exists about their effectiveness, with the aim of formulating future applications and research hypotheses on policymaking for best-value biologicals. METHODS A scoping literature review was conducted on the evidence of behavioral applications to pharmaceuticals. Scientific databases (Embase, MEDLINE, APA PsycArticles, and Scopus) were searched up to 20 October, 2021. RESULTS Forty-four full-text scientific articles were identified and narratively described in this article. Pharmaceutical domains where behavioral concepts have been investigated relate to influencing prescribing behavior, improving medication adherence, and increasing vaccination uptake. Multiple behavioral concepts were examined in the identified studies, such as social norms, defaults, framing, loss aversion, availability, and present bias. The effectiveness of the applied interventions was generally positive, but depended on the context. Some of the examined interventions can easily be translated into effective policy interventions for best-value biological medicines. However, some applications require further investigation in a research context. CONCLUSIONS Applications of behavioral economics to pharmaceutical policymaking are promising. However, further research is required to investigate the effect of behavioral applications on policy interventions for a more sustainable market environment for best-value biological medicines.
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Affiliation(s)
- Yannick Vandenplas
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
| | - Steven Simoens
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | | | - Arnold G Vulto
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
- Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Isabelle Huys
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
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20
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Wolf A, Sant'Anna A, Vilhelmsson A. Using nudges to promote clinical decision making of healthcare professionals: A scoping review. Prev Med 2022; 164:107320. [PMID: 36283484 DOI: 10.1016/j.ypmed.2022.107320] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/25/2022] [Accepted: 10/18/2022] [Indexed: 10/31/2022]
Abstract
Nudging has been discussed in the context of policy and public health, but not so much within healthcare. This scoping review aimed to assess the empirical evidence on how nudging techniques can be used to affect the behavior of healthcare professionals (HCPs) in clinical settings. A systematic database search was conducted for the period January 2010-December 2020 using the PRISMA extension for Scoping Review checklist. Two reviewers independently screened each article for inclusion. Included articles were reviewed to extract key information about each intervention, including purpose, target behavior, measured outcomes, key findings, nudging strategies, intervention objectives and their theoretical underpinnings. Two independent dimensions, building on Kahneman's System 1 and System 2, were used to describe nudging strategies according to user action and timing of their implementation. Of the included 51 articles, 40 reported statistically significant results, six were not significant and two reported mixed results. Thirteen different nudging strategies were identified aimed at modifying four types of HPCs' behavior: prescriptions and orders, procedure, hand hygiene, and vaccination. The most common nudging strategy employed were defaults or pre-orders, followed by alerts or reminders, and active choice. Many interventions did not require any deliberate action from users, here termed passive interventions, such as automatically changing prescriptions to their generic equivalent unless indicated by the user. Passive nudges may be successful in changing the target outcome but may go unnoticed by the user. Future work should consider the broader ethical implications of passive nudges.
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Affiliation(s)
- Axel Wolf
- University of Gothenburg, Centre for Person-Centred Care (GPCC), Sweden; University of Gothenburg, Institute of Health and Care Sciences, Sahlgrenska Academy, Sweden
| | | | - Andreas Vilhelmsson
- Lund University, Department of Laboratory Medicine, Division of Occupational and Environmental Medicine, Sweden.
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21
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Hallek M, Ockenfels A, Wiesen D. Behavioral Economics Interventions to Improve Medical Decision-Making. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:633-639. [PMID: 35912421 PMCID: PMC9764346 DOI: 10.3238/arztebl.m2022.0275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 09/30/2021] [Accepted: 04/07/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND In medicine, a wide gap exists between the medical care that ought to be possible in the light of the current state of medical research and the care that is actually provided. Behavioral biases and noise are two major reasons for this. METHODS We present the findings of a selective literature review and illustrate how interventions based on behavioral economics can help physicians make better decisions and thereby improve treatment outcomes. RESULTS A number of behavioral economics interventions, making use of, for example, default settings, active decision rules, social norms, and self-commitments, may improve physicians' clinical decision-making. Evidence on long-term effects is, however, mostly lacking. CONCLUSION Despite their apparent potential, the application of behavioral economic interventions to improve medical decisionmaking is still in its infancy, particularly in Germany.
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Affiliation(s)
- Michael Hallek
- University Hospital of Cologne, Internal Medicine Clinic I and Center for Integrated Oncology Aachen Bonn Cologne Dusseldorf (CIO)
| | - Axel Ockenfels
- Cologne University, Department of Economics, Center for Social and Economic Behavior (C-SEB) and Cluster of Excellence ECONtribute
| | - Daniel Wiesen
- Cologne University, Seminar for General Business Administration and Management in Healthcare and Center for Social and Economic Behavior (C-SEB),*Seminar for General Business Administration and Management in Healthcare University of Cologne Albertus-Magnus-Platz 50931 Cologne
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22
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Opt-out policy and its improvements promote COVID-19 vaccinations. Soc Sci Med 2022; 307:115120. [PMID: 35792410 PMCID: PMC9217684 DOI: 10.1016/j.socscimed.2022.115120] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 11/24/2022]
Abstract
Rationale Vaccination uptake is a major strategy to prevent infection with SARS-CoV-2 and curb the transmission of COVID-19. However, many people remain unwilling to receive the COVID-19 vaccine. Objective Using default nudges, the present study examines (a) whether opt-out policy and its improvements could increase intention and attitude to get vaccinated and (b) whether these default effects differ across diverse risk-perception groups. Method An online experiment with 1926 unvaccinated Chinese respondents was conducted in February 2021. We measured willingness to be vaccinated after informing opt-in policy, standard opt-out policy, and its five improvements (opt-out education, opt-out opportunity, opt-out social norm, opt-out feedback, and opt-out opportunity). Risk perception of the pandemic of COVID-19 and vaccination were also measured. Results (a) Opt-out policy and its improvement (except the opt-out transparency) increased intentions to be vaccinated. Policies with a vaccination default did not weaken people's attitude toward policy and policymakers compared with the opt-in policy, but participants in the transparent improvement group reported lower freedom of choice than those in the opt-out group. (b) Further latent profile analysis revealed four classes underlying risk perception: risk exaggerators, risk deniers, disease-specific risk perceivers, and vaccine-specific risk perceivers. But there was no conclusive evidence that the effect of risk perception differs as a function of defaults. Conclusions These findings provide new psychological evidence for formulating more targeted vaccination policies and highlight the importance of risk perception to understand vaccination intentions.
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23
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McIlmurray L, Blackwood B, Dempster M, Kee F, Gillan C, Hagan R, Lohfeld L, Shyamsundar M. Electronic nudge tool technology used in the critical care and peri-anaesthetic setting: a scoping review protocol. BMJ Open 2022; 12:e057026. [PMID: 35820751 PMCID: PMC9277380 DOI: 10.1136/bmjopen-2021-057026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Electronic clinical decision support (eCDS) tools are used to assist clinical decision making. Using computer-generated algorithms with evidence-based rule sets, they alert clinicians to events that require attention. eCDS tools generating alerts using nudge principles present clinicians with evidence-based clinical treatment options to guide clinician behaviour without restricting freedom of choice. Although eCDS tools have shown beneficial outcomes, challenges exist with regard to their acceptability most likely related to implementation. Furthermore, the pace of progress in this field has allowed little time to effectively evaluate the experience of the intended user. This scoping review aims to examine the development and implementation strategies, and the impact on the end user of eCDS tools that generate alerts using nudge principles, specifically in the critical care and peri-anaesthetic setting. METHODS AND ANALYSIS This review will follow the Arksey and O'Malley framework. A search will be conducted of literature published in the last 15 years in MEDLINE, EMBASE, CINAHL, CENTRAL, Web of Science and SAGE databases. Citation screening and data extraction will be performed by two independent reviewers. Extracted data will include context, e-nudge tool type and design features, development, implementation strategies and associated impact on end users. ETHICS AND DISSEMINATION This scoping review will synthesise published literature therefore ethical approval is not required. Review findings will be published in topic relevant peer-reviewed journals and associated conferences.
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Affiliation(s)
- Lisa McIlmurray
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Bronagh Blackwood
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Martin Dempster
- Centre for Improving Health-Related Quality of Life (CIHRQoL) - School of Psychology, Queen's University Belfast, Belfast, UK
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health (NI), Queen's University Belfast, Belfast, UK
| | - Charles Gillan
- School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK
| | - Rachael Hagan
- School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK
| | - Lynne Lohfeld
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Murali Shyamsundar
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
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24
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Neprash HT, Vock DM, Hanson A, Elert B, Short S, Karaca-Mandic P, Rothman AJ, Melton GB, Satin D, Markowitz R, Golberstein E. Effect of Integrating Access to a Prescription Drug Monitoring Program Within the Electronic Health Record on the Frequency of Queries by Primary Care Clinicians: A Cluster Randomized Clinical Trial. JAMA HEALTH FORUM 2022; 3:e221852. [PMID: 35977248 PMCID: PMC9168784 DOI: 10.1001/jamahealthforum.2022.1852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 05/10/2022] [Indexed: 01/14/2023] Open
Abstract
Importance Tools that are directly integrated with the electronic health record (EHR) workflow can reduce the hassle cost of certain guideline-concordant practices, such as querying a prescription drug monitoring program (PDMP) before prescribing opioids. Objective To investigate the effect of integrating access to a PDMP within the EHR on the frequency of program queries by primary care clinicians. Design Settings and Participants The PRINCE (Prescribing Interventions for Chronic Pain Using the Electronic Health Record) randomized trial used a factorial cluster design at the clinic level in 43 primary care clinics in Minnesota. In all, 309 clinicians participated; 161 clinicians were given EHR-integrated access to PDMP at the intervention clinics, and 148 clinicians had the usual access at the control clinics. The intervention went live on August 27, 2020, and data were collected through March 3, 2021. Intervention Single sign-on access to the Minnesota PDMP was integrated into the EHR, allowing clinicians to query a patient's controlled substance prescription and dispensing history as recorded in the Minnesota PDMP directly from the patient's EHR record without logging into a separate web portal. Additionally, the integration tool alerted clinicians and reminded them to review the PDMP if a patient had 3 or more opioid prescriptions in the past year and 1 or more in the past 6 months. Clinics in the control group did not receive access to the EHR-integrated PDMP tool; instead, these participants logged into the PDMP web portal separately. Main Outcomes and Measures Monthly PDMP query counts for primary care clinicians, overall and by modality (EHR-based, web-based, via a clinical delegate), adjusted for clinician characteristics, including type (physician, nurse practitioner, physician assistant), sex, and years in practice. Data were analyzed from August 2021 to May 2022. Results Of the 43 participating clinics with 309 clinicians, 21 clinics with 161 clinicians (102 [63.4%] women; 114 [70.8%] physicians; tenure, 10.6 [4.4] years) received the PDMP integration intervention. Baseline unadjusted monthly PDMP query rates for the average clinician were 6.6 (95% CI, 4.4-9.9) vs 8.8 (95% CI, 6.0-13.1) queries in the control vs the PDMP integration group, respectively. During the intervention, PDMP query rates for the average clinician were 6.9 (95% CI, 4.7-10.3) vs 14.8 (95% CI, 10.0-22.0) queries among the control vs the PDMP integration group, respectively. Compared with the control group, the EHR-integrated PDMP tool produced a 60% greater increase in the relative change in monthly PDMP queries (95% CI, 51%-70%). An increase in PDMP queries via the EHR-integrated PDMP tool drove this increase, while web-based and delegate queries declined by 39% more among the intervention compared with the control group (95% CI, 34%-43%). Conclusions and Relevance This cluster randomized clinical trial found that integrating access to the PDMP in the EHR increased PDMP-querying rates, suggesting that direct access reduced hassle costs and can dramatically improve adherence to guideline-concordant care practices among primary care clinicians. Trial Registration ClinicalTrials.gov Identifier: NCT04601506.
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Affiliation(s)
- Hannah T. Neprash
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis
| | - David M. Vock
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis
| | | | - Brent Elert
- Fairview Health Services, Minneapolis, Minnesota
| | - Sonja Short
- Fairview Health Services, Minneapolis, Minnesota
- Institute for Health Informatics, University of Minnesota, Minneapolis
| | | | - Alexander J. Rothman
- Department of Psychology, College of Liberal Arts, University of Minnesota, Minneapolis
| | - Genevieve B. Melton
- Fairview Health Services, Minneapolis, Minnesota
- Institute for Health Informatics, University of Minnesota, Minneapolis
- Department of Surgery, Medical School, University of Minnesota, Minneapolis
- Center for Learning Health System Sciences, University of Minnesota, Minneapolis
| | - David Satin
- Department of Family Medicine and Community Health, Medical School, University of Minnesota, Minneapolis
| | - Rebecca Markowitz
- Fairview Health Services, Minneapolis, Minnesota
- Institute for Health Informatics, University of Minnesota, Minneapolis
- Department of Medicine, Medical School, University of Minnesota, Minneapolis
| | - Ezra Golberstein
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis
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25
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Li EH, Ferrell W, Klaiman T, Kumar P, O'Connor N, Schuchter LM, Chen J, Patel MS, Manz CR, Parikh RB. Impact of Behavioral Nudges on the Quality of Serious Illness Conversations Among Patients With Cancer: Secondary Analysis of a Randomized Controlled Trial. JCO Oncol Pract 2022; 18:e495-e503. [PMID: 34767481 PMCID: PMC9014420 DOI: 10.1200/op.21.00024] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
PURPOSE Serious Illness Conversations (SICs) are structured conversations between clinicians and patients about prognosis, treatment goals, and end-of-life preferences. Although behavioral interventions may prompt earlier or more frequent SICs, their impact on the quality of SICs is unclear. METHODS This was a secondary analysis of a randomized clinical trial (NCT03984773) among 78 clinicians and 14,607 patients with cancer testing the impact of an automated mortality prediction with behavioral nudges to clinicians to prompt more SICs. We analyzed 318 randomly selected SICs matched 1:1 by clinicians (159 control and 159 intervention) to compare the quality of intervention vs. control conversations using a validated codebook. Comprehensiveness of SIC documentation was used as a measure of quality, with higher integer numbers of documented conversation domains corresponding to higher quality conversations. A conversation was classified as high-quality if its score was ≥ 8 of a maximum of 10. Using a noninferiority design, mixed effects regression models with clinician-level random effects were used to assess SIC quality in intervention vs. control groups, concluding noninferiority if the adjusted odds ratio (aOR) was not significantly < 0.9. RESULTS Baseline characteristics of the control and intervention groups were similar. Intervention SICs were noninferior to control conversations (aOR 0.99; 95% CI, 0.91 to 1.09). The intervention increased the likelihood of addressing patient-clinician relationship (aOR = 1.99; 95% CI, 1.23 to 3.27; P < .01) and decreased the likelihood of addressing family involvement (aOR = 0.56; 95% CI, 0.34 to 0.90; P < .05). CONCLUSION A behavioral intervention that increased SIC frequency did not decrease their quality. Behavioral prompts may increase SIC frequency without sacrificing quality.
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Affiliation(s)
- Eric H. Li
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - William Ferrell
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Tamar Klaiman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Pallavi Kumar
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Nina O'Connor
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Lynn M. Schuchter
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Jinbo Chen
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mitesh S. Patel
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA,Penn Medicine Nudge Unit, Philadelphia, PA,Wharton School of the University of Pennsylvania, Philadelphia, PA
| | - Christopher R. Manz
- Dana Farber Cancer Institute, Boston, MA,Harvard Medical School, Harvard University, Boston, MA
| | - Ravi B. Parikh
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA,Ravi B. Parikh, MD, MPP, 423 Guardian Drive, Blockley 1102, Philadelphia, PA 19104; e-mail:
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26
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Strickland JC, Reed DD, Hursh SR, Schwartz LP, Foster RNS, Gelino BW, LeComte RS, Oda FS, Salzer AR, Schneider TD, Dayton L, Latkin C, Johnson MW. Behavioral economic methods to inform infectious disease response: Prevention, testing, and vaccination in the COVID-19 pandemic. PLoS One 2022; 17:e0258828. [PMID: 35045071 PMCID: PMC8769299 DOI: 10.1371/journal.pone.0258828] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 10/31/2021] [Indexed: 12/21/2022] Open
Abstract
The role of human behavior to thwart transmission of infectious diseases like COVID-19 is evident. Psychological and behavioral science are key areas to understand decision-making processes underlying engagement in preventive health behaviors. Here we adapt well validated methods from behavioral economic discounting and demand frameworks to evaluate variables (e.g., delay, cost, probability) known to impact health behavior engagement. We examine the contribution of these mechanisms within a broader response class of behaviors reflecting adherence to public health recommendations made during the COVID-19 pandemic. Four crowdsourced samples (total N = 1,366) completed individual experiments probing a response class including social (physical) distancing, facemask wearing, COVID-19 testing, and COVID-19 vaccination. We also measure the extent to which choice architecture manipulations (e.g., framing, opt-in/opt-out) may promote (or discourage) behavior engagement. We find that people are more likely to socially distance when specified activities are framed as high risk, that facemask use during social interaction decreases systematically with greater social relationship, that describing delay until testing (rather than delay until results) increases testing likelihood, and that framing vaccine safety in a positive valence improves vaccine acceptance. These findings collectively emphasize the flexibility of methods from diverse areas of behavioral science for informing public health crisis management.
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Affiliation(s)
- Justin C. Strickland
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Derek D. Reed
- Department of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America
- Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, KS, United States of America
| | - Steven R. Hursh
- Applied Behavioral Biology Unit, Institutes for Behavior Resources, Baltimore, MD, United States of America
| | - Lindsay P. Schwartz
- Applied Behavioral Biology Unit, Institutes for Behavior Resources, Baltimore, MD, United States of America
| | - Rachel N. S. Foster
- Department of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America
| | - Brett W. Gelino
- Department of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America
| | - Robert S. LeComte
- Department of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America
| | - Fernanda S. Oda
- Department of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America
| | - Allyson R. Salzer
- Department of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America
| | - Tadd D. Schneider
- Department of Applied Behavioral Science, University of Kansas, Lawrence, KS, United States of America
| | - Lauren Dayton
- Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Carl Latkin
- Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Matthew W. Johnson
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
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27
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Stephens AB, Wynn CS, Hofstetter AM, Kolff C, Pena O, Kahn E, Dasgupta B, Natarajan K, Vawdrey DK, Lane MM, Robbins-Milne L, Ramakrishnan R, Holleran S, Stockwell MS. Effect of Electronic Health Record Reminders for Routine Immunizations and Immunizations Needed for Chronic Medical Conditions. Appl Clin Inform 2021; 12:1101-1109. [PMID: 34911126 DOI: 10.1055/s-0041-1739516] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
BACKGROUND Immunization reminders in electronic health records (EHR) provide clinical decision support (CDS) that can reduce missed immunization opportunities. Little is known about using CDS rules from a regional immunization information system (IIS) to power local EHR immunization reminders. OBJECTIVE This study aimed to assess the impact of EHR reminders using regional IIS CDS-provided rules on receipt of immunizations in a low-income, urban population for both routine immunizations and those recommended for patients with chronic medical conditions (CMCs). METHODS We built an EHR-based immunization reminder using the open-source resource used by the New York City IIS in which we overlaid logic regarding immunizations needed for CMCs. Using a randomized cluster-cross-over pragmatic clinical trial in four academic-affiliated clinics, we compared captured immunization opportunities during patient visits when the reminder was "on" versus "off" for the primary immunization series, school-age boosters, and adolescents. We also assessed coverage of CMC-specific immunizations. Up-to-date immunization was measured by end of quarter. Rates were compared using chi square tests. RESULTS Overall, 15,343 unique patients were seen for 26,647 visits. The alert significantly impacted captured opportunities to complete the primary series in both well-child and acute care visits (57.6% on vs. 54.3% off, p = 0.001, and 15.3% on vs. 10.1% off, p = 0.02, respectively), among most age groups, and several immunization types. Captured opportunities for CMC-specific immunizations remained low regardless of alert status. The alert did not have an effect on up-to-date immunization overall (89.1 vs. 88.3%). CONCLUSION CDS in this population improved captured immunization opportunities. Baseline high rates may have blunted an up-to-date population effect. Converting Centers for Disease Control and Prevention (CDC) rules to generate sufficiently sensitive and specific alerts for CMC-specific immunizations proved challenging, and the alert did not have an impact on CMC-specific immunizations, potentially highlighting need for more work in this area.
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Affiliation(s)
- Ashley B Stephens
- Department of Pediatrics and NewYork-Presbyterian Hospital, Columbia University Irving Medical Center New York, New York, United States
| | - Chelsea S Wynn
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Annika M Hofstetter
- Department of Pediatrics, University of Washington, Seattle, Washington, United States.,Seattle Children's Research Institute, University of Washington, Seattle, Washington, United States
| | - Chelsea Kolff
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Oscar Pena
- NewYork-Presbyterian Hospital New York, New York, United States
| | - Eric Kahn
- NewYork-Presbyterian Hospital New York, New York, United States
| | - Balendu Dasgupta
- Department of Biomedical Informatics, Columbia University Irving Medical Center New York, New York, United States
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center New York, New York, United States
| | - David K Vawdrey
- Department of Biomedical Informatics, Columbia University Irving Medical Center New York, New York, United States.,Steele Institute for Health Innovation, Geisinger, Danville, Pennsylvania, United States
| | - Mariellen M Lane
- Department of Pediatrics and NewYork-Presbyterian Hospital, Columbia University Irving Medical Center New York, New York, United States
| | - Laura Robbins-Milne
- Department of Pediatrics and NewYork-Presbyterian Hospital, Columbia University Irving Medical Center New York, New York, United States
| | - Rajasekhar Ramakrishnan
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Stephen Holleran
- Department of Pediatrics, Columbia University Irving Medical Center New York, New York, United States
| | - Melissa S Stockwell
- Departments of Pediatrics and Population and Family Health, Columbia University Irving Medical Center and NewYork-Presbyterian Hospital New York, New York, United States
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28
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Vilhelmsson A, Sant'Anna A, Wolf A. Nudging healthcare professionals to improve treatment of COVID-19: a narrative review. BMJ Open Qual 2021; 10:e001522. [PMID: 34887299 PMCID: PMC8662583 DOI: 10.1136/bmjoq-2021-001522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 11/25/2021] [Indexed: 01/08/2023] Open
Affiliation(s)
- Andreas Vilhelmsson
- Centre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden
- Occupational and Environmental Medicine, Lund University Faculty of Medicine, Lund, Sweden
| | | | - Axel Wolf
- Centre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden
- Department of Anaesthesiology and Intensive Care Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
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29
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Belli HM, Troxel AB, Blecker SB, Anderman J, Wong C, Martinez TR, Mann DM. A Behavioral Economics-Electronic Health Record Module to Promote Appropriate Diabetes Management in Older Adults: Protocol for a Pragmatic Cluster Randomized Controlled Trial. JMIR Res Protoc 2021; 10:e28723. [PMID: 34704959 PMCID: PMC8581753 DOI: 10.2196/28723] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 07/28/2021] [Accepted: 08/24/2021] [Indexed: 11/13/2022] Open
Abstract
Background The integration of behavioral economics (BE) principles and electronic health records (EHRs) using clinical decision support (CDS) tools is a novel approach to improving health outcomes. Meanwhile, the American Geriatrics Society has created the Choosing Wisely (CW) initiative to promote less aggressive glycemic targets and reduction in pharmacologic therapy in older adults with type 2 diabetes mellitus. To date, few studies have shown the effectiveness of combined BE and EHR approaches for managing chronic conditions, and none have addressed guideline-driven deprescribing specifically in type 2 diabetes. We previously conducted a pilot study aimed at promoting appropriate CW guideline adherence using BE nudges and EHRs embedded within CDS tools at 5 clinics within the New York University Langone Health (NYULH) system. The BE-EHR module intervention was tested for usability, adoption, and early effectiveness. Preliminary results suggested a modest improvement of 5.1% in CW compliance. Objective This paper presents the protocol for a study that will investigate the effectiveness of a BE-EHR module intervention that leverages BE nudges with EHR technology and CDS tools to reduce overtreatment of type 2 diabetes in adults aged 76 years and older, per the CW guideline. Methods A pragmatic, investigator-blind, cluster randomized controlled trial was designed to evaluate the BE-EHR module. A total of 66 NYULH clinics will be randomized 1:1 to receive for 18 months either (1) a 6-component BE-EHR module intervention + standard care within the NYULH EHR, or (2) standard care only. The intervention will be administered to clinicians during any patient encounter (eg, in person, telemedicine, medication refill, etc). The primary outcome will be patient-level CW compliance. Secondary outcomes will measure the frequency of intervention component firings within the NYULH EHR, and provider utilization and interaction with the BE-EHR module components. Results Study recruitment commenced on December 7, 2020, with the activation of all 6 BE-EHR components in the NYULH EHR. Conclusions This study will test the effectiveness of a previously developed, iteratively refined, user-tested, and pilot-tested BE-EHR module aimed at providing appropriate diabetes care to elderly adults, compared to usual care via a cluster randomized controlled trial. This innovative research will be the first pragmatic randomized controlled trial to use BE principles embedded within the EHR and delivered using CDS tools to specifically promote CW guideline adherence in type 2 diabetes. The study will also collect valuable information on clinician workflow and interaction with the BE-EHR module, guiding future research in optimizing the timely delivery of BE nudges within CDS tools. This work will address the effectiveness of BE-inspired interventions in diabetes and chronic disease management. Trial Registration ClinicalTrials.gov NCT04181307; https://clinicaltrials.gov/ct2/show/NCT04181307 International Registered Report Identifier (IRRID) DERR1-10.2196/28723
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Affiliation(s)
- Hayley M Belli
- Division of Biostatistics, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Andrea B Troxel
- Division of Biostatistics, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Saul B Blecker
- Division of Healthcare Delivery Science, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States.,Department of Medicine, Grossman School of Medicine, New York University, New York, NY, United States
| | - Judd Anderman
- Medical Center Information Technology, New York University Langone Health, New York, NY, United States
| | - Christina Wong
- Medical Center Information Technology, New York University Langone Health, New York, NY, United States
| | - Tiffany R Martinez
- Division of Healthcare Delivery Science, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States
| | - Devin M Mann
- Division of Healthcare Delivery Science, Department of Population Health, Grossman School of Medicine, New York University, New York, NY, United States.,Department of Medicine, Grossman School of Medicine, New York University, New York, NY, United States.,Medical Center Information Technology, New York University Langone Health, New York, NY, United States
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30
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Mohammed H, McMillan M, Andraweera PH, Elliott SR, Marshall HS. A rapid global review of strategies to improve influenza vaccination uptake in Australia. Hum Vaccin Immunother 2021; 17:5487-5499. [PMID: 34623221 PMCID: PMC8904008 DOI: 10.1080/21645515.2021.1978797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
This study aimed to identify effective strategies for improving the uptake of influenza vaccination and to inform recommendations for influenza vaccination programs in Australia. A rapid systematic review was conducted to assimilate and synthesize peer-reviewed articles identified in PubMed. The National Health and Medical Research Council (NHMRC) Hierarchy of Evidence was used to appraise the quality of evidence. A systematic search identified 4373 articles and 52 that met the inclusion criteria were included. The evidence suggests influenza vaccination uptake may be improved by interventions that (1) increase community/patient demand and access to influenza vaccine and overcome practice-related barriers; (2) reinforce the critical role healthcare providers play in driving influenza vaccination uptake. Strategies such as standing orders, reminder and recall efforts were successful in improving influenza vaccination rates. Community pharmacies, particularly in regional/remote areas, are well positioned to improve influenza vaccine coverage. The findings of this rapid review can be utilized to improve the performance of influenza immunization programs in Australia and other countries with comparable programs; and recommend priorities for future evaluation of interventions to improve influenza vaccination uptake.
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Affiliation(s)
- Hassen Mohammed
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Mark McMillan
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Prabha H Andraweera
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Salenna R Elliott
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia
| | - Helen S Marshall
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Health Network, Adelaide, Australia.,Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
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Reñosa MDC, Landicho J, Wachinger J, Dalglish SL, Bärnighausen K, Bärnighausen T, McMahon SA. Nudging toward vaccination: a systematic review. BMJ Glob Health 2021; 6:bmjgh-2021-006237. [PMID: 34593513 PMCID: PMC8487203 DOI: 10.1136/bmjgh-2021-006237] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 08/19/2021] [Indexed: 12/21/2022] Open
Abstract
Background Vaccine hesitancy (VH) and the global decline of vaccine coverage are a major global health threat, and novel approaches for increasing vaccine confidence and uptake are urgently needed. ‘Nudging’, defined as altering the environmental context in which a decision is made or a certain behaviour is enacted, has shown promising results in several health promotion strategies. We present a comprehensive synthesis of evidence regarding the value and impact of nudges to address VH. Methods We conducted a systematic review to determine if nudging can mitigate VH and improve vaccine uptake. Our search strategy used Medical Subject Headings (MeSH) and non-MeSH terms to identify articles related to nudging and vaccination in nine research databases. 15 177 titles were extracted and assessed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The final list of included articles was evaluated using the Mixed Methods Appraisal Tool and the Grading of Recommendations, Assessment, Development and Evaluations framework. Findings Identified interventions are presented according to a framework for behaviour change, MINDSPACE. Articles (n=48) from 10 primarily high-income countries were included in the review. Nudging-based interventions identified include using reminders and recall, changing the way information is framed and delivered to an intended audience, changing the messenger delivering information, invoking social norms and emotional affect (eg, through storytelling, dramatic narratives and graphical presentations), and offering incentives or changing defaults. The most promising evidence exists for nudges that offer incentives to parents and healthcare workers, that make information more salient or that use trusted messengers to deliver information. The effectiveness of nudging interventions and the direction of the effect varies substantially by context. Evidence for some approaches is mixed, highlighting a need for further research, including how successful interventions can be adapted across settings. Conclusion Nudging-based interventions show potential to increase vaccine confidence and uptake, but further evidence is needed for the development of clear recommendations. The ongoing COVID-19 pandemic increases the urgency of undertaking nudging-focused research. PROSPERO registration number CRD42020185817.
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Affiliation(s)
- Mark Donald C Reñosa
- Heidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Muntinlupa City, Philippines
| | - Jeniffer Landicho
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Muntinlupa City, Philippines
| | - Jonas Wachinger
- Heidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
| | - Sarah L Dalglish
- Institute for Global Health, University College London, London, UK
- International Health Department, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kate Bärnighausen
- Heidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
- School of Public Health, University of the Witwatersrand, Johannesburg-Braamfontein, South Africa
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts, USA
| | - Shannon A McMahon
- Heidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
- International Health Department, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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Beidas RS, Ahmedani BK, Linn KA, Marcus SC, Johnson C, Maye M, Westphal J, Wright L, Beck AL, Buttenheim AM, Daley MF, Davis M, Elias ME, Jager-Hyman S, Hoskins K, Lieberman A, McArdle B, Ritzwoller DP, Small DS, Wolk CB, Williams NJ, Boggs JM. Study protocol for a type III hybrid effectiveness-implementation trial of strategies to implement firearm safety promotion as a universal suicide prevention strategy in pediatric primary care. Implement Sci 2021; 16:89. [PMID: 34551811 PMCID: PMC8456701 DOI: 10.1186/s13012-021-01154-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 08/24/2021] [Indexed: 01/23/2023] Open
Abstract
Background Insights from behavioral economics, or how individuals’ decisions and behaviors are shaped by finite cognitive resources (e.g., time, attention) and mental heuristics, have been underutilized in efforts to increase the use of evidence-based practices in implementation science. Using the example of firearm safety promotion in pediatric primary care, which addresses an evidence-to-practice gap in universal suicide prevention, we aim to determine: is a less costly and more scalable behavioral economic-informed implementation strategy (i.e., “Nudge”) powerful enough to change clinician behavior or is a more intensive and expensive facilitation strategy needed to overcome implementation barriers? Methods The Adolescent and child Suicide Prevention in Routine clinical Encounters (ASPIRE) hybrid type III effectiveness-implementation trial uses a longitudinal cluster randomized design. We will test the comparative effectiveness of two implementation strategies to support clinicians’ use of an evidence-based firearm safety practice, S.A.F.E. Firearm, in 32 pediatric practices across two health systems. All pediatric practices in the two health systems will receive S.A.F.E. Firearm materials, including training and cable locks. Half of the practices (k = 16) will be randomized to receive Nudge; the other half (k = 16) will be randomized to receive Nudge plus 1 year of facilitation to target additional practice and clinician implementation barriers (Nudge+). The primary implementation outcome is parent-reported clinician fidelity to the S.A.F.E Firearm program. Secondary implementation outcomes include reach and cost. To understand how the implementation strategies work, the primary mechanism to be tested is practice adaptive reserve, a self-report practice-level measure that includes relationship infrastructure, facilitative leadership, sense-making, teamwork, work environment, and culture of learning. Discussion The ASPIRE trial will integrate implementation science and behavioral economic approaches to advance our understanding of methods for implementing evidence-based firearm safety promotion practices in pediatric primary care. The study answers a question at the heart of many practice change efforts: which strategies are sufficient to support change, and why? Results of the trial will offer valuable insights into how best to implement evidence-based practices that address sensitive health matters in pediatric primary care. Trial registration ClinicalTrials.gov, NCT04844021. Registered 14 April 2021. Supplementary Information The online version contains supplementary material available at 10.1186/s13012-021-01154-8.
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Affiliation(s)
- Rinad S Beidas
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Brian K Ahmedani
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, USA
| | - Kristin A Linn
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven C Marcus
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, USA
| | - Christina Johnson
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Melissa Maye
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, USA
| | - Joslyn Westphal
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, USA
| | - Leslie Wright
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Arne L Beck
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | | | - Matthew F Daley
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Molly Davis
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marisa E Elias
- Department of Pediatrics, Henry Ford Health System, Detroit, MI, USA
| | - Shari Jager-Hyman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katelin Hoskins
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Adina Lieberman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bridget McArdle
- Department of Pediatrics, Henry Ford Health System, Detroit, MI, USA
| | - Debra P Ritzwoller
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Dylan S Small
- Wharton School of Business, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Jennifer M Boggs
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
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Prognosticating Outcomes and Nudging Decisions with Electronic Records in the Intensive Care Unit Trial Protocol. Ann Am Thorac Soc 2021; 18:336-346. [PMID: 32936675 DOI: 10.1513/annalsats.202002-088sd] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Expert recommendations to discuss prognosis and offer palliative options for critically ill patients at high risk of death are variably heeded by intensive care unit (ICU) clinicians. How to best promote such communication to avoid potentially unwanted aggressive care is unknown. The PONDER-ICU (Prognosticating Outcomes and Nudging Decisions with Electronic Records in the ICU) study is a 33-month pragmatic, stepped-wedge cluster randomized trial testing the effectiveness of two electronic health record (EHR) interventions designed to increase ICU clinicians' engagement of critically ill patients at high risk of death and their caregivers in discussions about all treatment options, including care focused on comfort. We hypothesize that the quality of care and patient-centered outcomes can be improved by requiring ICU clinicians to document a functional prognostic estimate (intervention A) and/or to provide justification if they have not offered patients the option of comfort-focused care (intervention B). The trial enrolls all adult patients admitted to 17 ICUs in 10 hospitals in North Carolina with a preexisting life-limiting illness and acute respiratory failure requiring continuous mechanical ventilation for at least 48 hours. Eligibility is determined using a validated algorithm in the EHR. The sequence in which hospitals transition from usual care (control), to intervention A or B and then to combined interventions A + B, is randomly assigned. The primary outcome is hospital length of stay. Secondary outcomes include other clinical outcomes, palliative care process measures, and nurse-assessed quality of dying and death.Clinical trial registered with clinicaltrials.gov (NCT03139838).
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Ly DP. The Influence of the Availability Heuristic on Physicians in the Emergency Department. Ann Emerg Med 2021; 78:650-657. [PMID: 34373141 DOI: 10.1016/j.annemergmed.2021.06.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/15/2021] [Accepted: 06/14/2021] [Indexed: 11/27/2022]
Abstract
STUDY OBJECTIVE Heuristics, or rules of thumb, are hypothesized to influence the care physicians deliver. One such heuristic is the availability heuristic, under which assessments of an event's likelihood are affected by how easily the event comes to mind. We examined whether the availability heuristic influences physician testing in a common, high-risk clinical scenario: assessing patients with shortness of breath for the risk of pulmonary embolism. METHODS We performed an event study from 2011 to 2018 of emergency physicians caring for patients presenting with shortness of breath to 104 Veterans Affairs (VA) hospitals. Our measures were physician rates of pulmonary embolism testing (D-dimer and/or computed tomography scan) for subsequent patients after having a patient visit with a pulmonary embolism discharge diagnosis, hypothesizing that physician rates of pulmonary embolism testing would increase after having a recent patient visit with a pulmonary embolism diagnosis due to the availability heuristic. RESULTS The sample included 7,370 emergency physicians who had 416,720 patient visits for shortness of breath. The mean rate of pulmonary embolism testing was 9.0%. For physicians who had a recent patient visit with a pulmonary embolism diagnosis, their rate of pulmonary embolism testing for subsequent patients increased by 1.4 percentage points (95% confidence interval 0.42 to 2.34) in the 10 days after, which is approximately 15% relative to the mean rate of pulmonary embolism testing. We failed to find statistically significant changes in rates of pulmonary embolism testing in the subsequent 50 days following these first 10 days. CONCLUSION After having a recent patient visit with a pulmonary embolism diagnosis, physicians increase their rates of pulmonary embolism testing for subsequent patients, but this increase does not persist. These results provide large-scale evidence that the availability heuristic may play a role in complex testing decisions.
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Affiliation(s)
- Dan P Ly
- VA Greater Los Angeles Healthcare System, Los Angeles, CA; VA Boston Healthcare System, Boston, MA; Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA.
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Caskey R. Behavioral Economics as a Model to Improve Adolescent and Adult Vaccination. Clin Ther 2021; 43:1649-1653. [PMID: 34353638 DOI: 10.1016/j.clinthera.2021.07.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 07/09/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Rachel Caskey
- Departments of Medicine and Pediatrics, University of Illinois at Chicago, Chicago Illinois.
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36
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Okoli GN, Reddy VK, Lam OLT, Abdulwahid T, Askin N, Thommes E, Chit A, Abou-Setta AM, Mahmud SM. Interventions on health care providers to improve seasonal influenza vaccination rates among patients: a systematic review and meta-analysis of the evidence since 2000. Fam Pract 2021; 38:524-536. [PMID: 33517381 PMCID: PMC8317218 DOI: 10.1093/fampra/cmaa149] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Seasonal influenza vaccination (SIV) rates remain suboptimal in many populations, even in those with universal SIV. OBJECTIVE To summarize the evidence on interventions on health care providers (physicians/nurses/pharmacists) to increase SIV rates. METHODS We systematically searched/selected full-text English publications from January 2000 to July 2019 (PROSPERO-CRD42019147199). Our outcome was the difference in SIV rates between patients in intervention and non-intervention groups. We calculated pooled difference using an inverse variance, random-effects model. RESULTS We included 39 studies from 8370 retrieved citations. Compared with no intervention, team-based training/education of physicians significantly increased SIV rates in adult patients: 20.1% [7.5-32.7%; I2 = 0%; two randomized controlled trials (RCTs)] and 13.4% [8.6-18.1%; I2 = 0%; two non-randomized intervention studies (NRS)]. A smaller increase was observed in paediatric patients: 7% (0.1-14%; I2 = 0%; two NRS), and in adult patients with team-based training/education of physicians and nurses together: 0.9% (0.2-1.5%; I2 = 30.6%; four NRS). One-off provision of guidelines/information to physicians, and to both physicians and nurses, increased SIV rates in adult patients: 23.8% (15.7-31.8%; I2 = 45.8%; three NRS) and paediatric patients: 24% (8.1-39.9%; I2 = 0%; two NRS), respectively. Use of reminders (prompts) by physicians and nurses slightly increased SIV rates in paediatric patients: 2.3% (0.5-4.2%; I2 = 0%; two RCTs). A larger increase was observed in adult patients: 18.5% (14.8-22.1%; I2 = 0%; two NRS). Evidence from both RCTs and NRS showed significant increases in SIV rates with varied combinations of interventions. CONCLUSIONS Limited evidence suggests various forms of physicians' and nurses' education and use of reminders may be effective for increasing SIV rates among patients.
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Affiliation(s)
| | | | - Otto L T Lam
- George and Fay Yee Centre for Healthcare Innovation
| | | | - Nicole Askin
- Neil John Maclean Health Sciences Library, University of Manitoba, Winnipeg, Canada
| | | | | | - Ahmed M Abou-Setta
- George and Fay Yee Centre for Healthcare Innovation.,Community Health Sciences, Rady Faculty of Health Sciences
| | - Salaheddin M Mahmud
- Community Health Sciences, Rady Faculty of Health Sciences.,Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Canada
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Last BS, Buttenheim AM, Timon CE, Mitra N, Beidas RS. Systematic review of clinician-directed nudges in healthcare contexts. BMJ Open 2021; 11:e048801. [PMID: 34253672 PMCID: PMC8276299 DOI: 10.1136/bmjopen-2021-048801] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/12/2021] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Nudges are interventions that alter the way options are presented, enabling individuals to more easily select the best option. Health systems and researchers have tested nudges to shape clinician decision-making with the aim of improving healthcare service delivery. We aimed to systematically study the use and effectiveness of nudges designed to improve clinicians' decisions in healthcare settings. DESIGN A systematic review was conducted to collect and consolidate results from studies testing nudges and to determine whether nudges directed at improving clinical decisions in healthcare settings across clinician types were effective. We systematically searched seven databases (EBSCO MegaFILE, EconLit, Embase, PsycINFO, PubMed, Scopus and Web of Science) and used a snowball sampling technique to identify peer-reviewed published studies available between 1 January 1984 and 22 April 2020. Eligible studies were critically appraised and narratively synthesised. We categorised nudges according to a taxonomy derived from the Nuffield Council on Bioethics. Included studies were appraised using the Cochrane Risk of Bias Assessment Tool. RESULTS We screened 3608 studies and 39 studies met our criteria. The majority of the studies (90%) were conducted in the USA and 36% were randomised controlled trials. The most commonly studied nudge intervention (46%) framed information for clinicians, often through peer comparison feedback. Nudges that guided clinical decisions through default options or by enabling choice were also frequently studied (31%). Information framing, default and enabling choice nudges showed promise, whereas the effectiveness of other nudge types was mixed. Given the inclusion of non-experimental designs, only a small portion of studies were at minimal risk of bias (33%) across all Cochrane criteria. CONCLUSIONS Nudges that frame information, change default options or enable choice are frequently studied and show promise in improving clinical decision-making. Future work should examine how nudges compare to non-nudge interventions (eg, policy interventions) in improving healthcare.
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Affiliation(s)
- Briana S Last
- Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alison M Buttenheim
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
- Center for Health Incentives and Behavioral Economics (CHIBE), University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Carter E Timon
- College of Liberal and Professional Studies, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nandita Mitra
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Rinad S Beidas
- Center for Health Incentives and Behavioral Economics (CHIBE), University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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38
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Santos HC, Goren A, Chabris CF, Meyer MN. Effect of Targeted Behavioral Science Messages on COVID-19 Vaccination Registration Among Employees of a Large Health System: A Randomized Trial. JAMA Netw Open 2021; 4:e2118702. [PMID: 34319359 PMCID: PMC8319759 DOI: 10.1001/jamanetworkopen.2021.18702] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
This randomized trial evaluates whether individually addressed emails designed with behaviorally informed features increase COVID-19 vaccination rates.
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Affiliation(s)
- Henri C. Santos
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger Health System, Danville, Pennsylvania
| | - Amir Goren
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger Health System, Danville, Pennsylvania
| | - Christopher F. Chabris
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger Health System, Danville, Pennsylvania
- Autism and Developmental Medicine Institute, Geisinger Health System, Lewisburg, Pennsylvania
| | - Michelle N. Meyer
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger Health System, Danville, Pennsylvania
- Center for Translational Bioethics and Health Care Policy, Geisinger Health System, Danville, Pennsylvania
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Sant'Anna A, Vilhelmsson A, Wolf A. Nudging healthcare professionals in clinical settings: a scoping review of the literature. BMC Health Serv Res 2021; 21:543. [PMID: 34078358 PMCID: PMC8170624 DOI: 10.1186/s12913-021-06496-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 05/07/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Healthcare organisations are in constant need of improvement and change. Nudging has been proposed as a strategy to affect people's choices and has been used to affect patients' behaviour in healthcare settings. However, little is known about how nudging is being interpreted and applied to change the behaviour of healthcare professionals (HCPs). The objective of this review is to identify interventions using nudge theory to affect the behaviour of HCPs in clinical settings. METHODS A scoping review. We searched PubMed and PsycINFO for articles published from 2010 to September 2019, including terms related to "nudging" in the title or abstract. Two reviewers screened articles for inclusion based on whether the articles described an intervention to change the behaviour of HCPs. Two reviewers extracted key information and categorized included articles. Descriptive analyses were performed on the data. RESULTS Search results yielded 997 unique articles, of which 25 articles satisfied the inclusion criteria. Five additional articles were selected from the reference lists of the included articles. We identified 11 nudging strategies: accountable justification, goal setting, suggested alternatives, feedback, information transparency, peer comparison, active choice, alerts and reminders, environmental cueing/priming, defaults/pre-orders, and education. These strategies were employed to affect the following 4 target behaviours: vaccination of staff, hand hygiene, clinical procedures, prescriptions and orders. To compare approaches across so many areas, we introduced two independent dimensions to describe nudging strategies: synchronous/asynchronous, and active/passive. CONCLUSION There are relatively few studies published referring to nudge theory aimed at changing HCP behaviour in clinical settings. These studies reflect a diverse set of objectives and implement nudging strategies in a variety of ways. We suggest distinguishing active from passive nudging strategies. Passive nudging strategies may achieve the desired outcome but go unnoticed by the clinician thereby not really changing a behaviour and raising ethical concerns. Our review indicates that there are successful active strategies that engage with clinicians in a more deliberate way. However, more research is needed on how different nudging strategies impact HCP behaviour in the short and long term to improve clinical decision making.
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Affiliation(s)
| | - Andreas Vilhelmsson
- Centre for Person-Centred Care (GPCC), University of Gothenburg, Box 100, 40530, Gothenburg, SE, Sweden
| | - Axel Wolf
- Centre for Person-Centred Care (GPCC), University of Gothenburg, Box 100, 40530, Gothenburg, SE, Sweden.
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
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De Sarro C, Papadopoli R, Cautela V, Nobile CGA, Pileggi C, Pavia M. Vaccination coverage among health-care workers: pre-post intervention study to assess impact of an on-site vaccination-dedicated clinic. Expert Rev Vaccines 2021; 20:753-759. [PMID: 33896347 DOI: 10.1080/14760584.2021.1915776] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Several studies have revealed low vaccinations coverage among health-care workers (HCWs) for all vaccinations. The aim of our study was to evaluate the impact of the implementation of an on-site vaccination-dedicated clinic on the vaccination coverage rates of HCWs. RESEARCH DESIGN AND METHODS A quasi-experimental pre-post intervention study was carried out among undergraduate and postgraduate students attending medical and health-care professions schools. RESULTS We enrolled 804 students, 404 in the control and 400 in the experimental group. A significantly higher increase of vaccination coverage in the experimental group than in the control group for all the investigated vaccinations (p < 0.001) was found. The odds of adherence to vaccinations in the experimental group, compared to the control group, ranged from 6.9-fold (95% CI 3.51-13.44) to 18.9-fold (95% CI 10.85-32.96). The increase in the coverage rate in the control group was between 2.5% and 3.5%, whereas in the experimental group, higher increases were found, ranging from 34.8% to 71%. CONCLUSIONS The extraordinary increase in the adherence to HCWs recommended vaccinations found in the study seems to indicate a significant role of enabling factors in the complex process of decision-making and implementation of health-related behaviors.
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Affiliation(s)
- Caterina De Sarro
- Department of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro (Italy)
| | - Rosa Papadopoli
- Department of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro (Italy)
| | - Vincenza Cautela
- Department of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro (Italy)
| | | | - Claudia Pileggi
- Department of Health Sciences, University of Catanzaro "Magna Græcia", Catanzaro (Italy)
| | - Maria Pavia
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples (Italy)
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Charleston L, Ovbiagele B. Diversity in neurology leadership: Nuances and nudges. J Neurol Sci 2021; 426:117475. [PMID: 33965794 DOI: 10.1016/j.jns.2021.117475] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 04/08/2021] [Accepted: 04/30/2021] [Indexed: 10/21/2022]
Abstract
Underrepresented in medicine (UIM) academic physicians are poorly represented among medical school faculty when compared with their proportion in the US population, receive NIH research awards less frequently, are promoted less often, indicate lower career satisfaction, and report higher social isolation, than faculty who are not under-represented. Supporting a successful and sustainable workforce of UIM academic physicians is essential in neurology, because such neurologists are more likely to engage in research to reduce disparities in neurological outcomes that affect underserved and/or low-income communities, and help improve the paucity of diverse race-ethnic participation in clinical trials. Having more diverse academic neurologists serve in such roles could bolster their careers and model possibilities for others who share similar cultures and backgrounds. Beyond leading/joining diversity affairs committees, more UIM are needed in mainstream leadership roles. In this work, we explore self-application vs. appointment/nomination opportunities and how this play a role in leadership opportunities. In addition to considering appropriate weighing of self-applications vs. appointments based opportunities, we highlight approaches and introduce the concept of nudging. Nudging, which refers to purposely increasing the visibility and appeal of particular items with the goal of boosting the odds of selecting those items, has been shown to successfully influence the process of selection, and may help level the leadership playing field for UIM in neurology.
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Affiliation(s)
- Larry Charleston
- Department of Neurology and Ophthalmology, Michigan State University College of Human Medicine, East Lansing, MI, United States of America.
| | - Bruce Ovbiagele
- Department of Neurology, University of California, San Francisco, CA, United States of America
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Lamprell K, Tran Y, Arnolda G, Braithwaite J. Nudging clinicians: A systematic scoping review of the literature. J Eval Clin Pract 2021; 27:175-192. [PMID: 32342613 DOI: 10.1111/jep.13401] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 03/19/2020] [Accepted: 03/23/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND While the quality of medical care delivered by physicians can be very good, it can also be inconsistent and feature behaviours that are entrenched despite updated information and evidence. The "nudge" paradigm for behaviour change is being used to bring clinical practice in line with desired standards. The premise is that behaviour can be voluntarily shifted by making particular choices instinctively appealing. We reviewed studies that are explicit about their use of nudge theory in influencing clinician behaviour. METHODS Databases were searched from April 2008 (the publication date of the book that introduced nudge theory to a wider audience) to November 2018, inclusive. The search strategy and narrative review of results addressed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. RESULTS 22 studies were identified. Randomized trials or pre-post comparisons were generally used in community-based settings; single-site pre-post studies were favoured in hospitals. The studies employed eight intervention types: active choice; patient chart redesign; default and default alerts; partitioning of prescription menus; audit and feedback; commitment messages; peer comparisons; and redirection of workflow. Three core cognitive factors underpinned the eight interventions: bias towards prominent choices (salience); predisposition to social norms; and bias towards time or cost savings. CONCLUSIONS Published studies that are explicit about their use of nudge theory are few in number and diverse in their settings, targets, and results. Default and chart re-design interventions reported the most substantial improvements in adherence to evidence and guideline-based practice. Studies that are explicit in their use of nudge theory address the widespread failure of clinical practice studies to identify theoretical frameworks for interventions. However, few studies identified in our review engaged in research to understand the contextual and site-specific barriers to a desired behaviour before designing a nudge intervention.
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Affiliation(s)
- Klay Lamprell
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
| | - Yvonne Tran
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
| | - Jeffrey Braithwaite
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
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Yang CC, Kang BH, Liu WS, Yin CH, Lee CC. Association of a multiple-step action with cervical lymph node yield of oral cancer patients in an Asian country. BMC Oral Health 2021; 21:29. [PMID: 33441108 PMCID: PMC7805045 DOI: 10.1186/s12903-021-01389-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 01/04/2021] [Indexed: 11/10/2022] Open
Abstract
Background High quality lymph node (LN) yield could increase survival, however strategies to improve LN yield have been seldom reported. This study aimed to assess the multiple-step action to promote quality of neck dissection in oral cancer. Methods A total of 400 patients with oral cancer who underwent primary tumor resection and neck dissection, including elective and radical neck dissection, were recruited after propensity score matching by clinical T and N categories between January 2009 and September 2018. Patients were treated by two independent departments in our institute. A multiple-step action was initiated in October 2015 in one department, and another department was as a control group. The impact of multiple-step action on LN yield and regional recurrence were analyzed using multivariate analysis and difference-in-differences (DID) linear regression analysis. Results The mean patient age was 55.2 + 11.1 years, and 92% were male. A total of 180 (45%) patients had T3-4 disease, and 129 (32%) patients had N2-3 disease. The multivariate linear regression and DID analyses revealed that multiple-step action had a positive effect on LN yield. A net improvement of LN yield with a coefficient of 13.78 (p < 0.001) after launching multiple-step action (since October 2015) was observed. A borderline protective effect of multiple-step action for cN0 patients with a reduced regional recurrence rate of 11.6% (p = 0.072) through DID analysis was noted. Conclusions Multiple-step action was associated with increased LN yield and decreased regional recurrence in patients with oral cancer. The observed activity may promote surgeons to improve the quality of neck dissections, is feasible, and could be applied to a widespread patient population.
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Affiliation(s)
- Ching-Chieh Yang
- Department of Radiation Oncology, Chi-Mei Medical Center, Tainan, Taiwan.,Department of Pharmacy, Chia-Nan University of Pharmacy and Science, Tainan, Taiwan
| | - Bor-Hwang Kang
- Department of Otolaryngology, Head and Neck Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.,School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Department of Pharmacy, Tajen University, Pingtung, Taiwan
| | - Wen-Shan Liu
- Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Chun-Hao Yin
- Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Ching-Chih Lee
- Department of Otolaryngology, Head and Neck Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan. .,School of Medicine, National Defense Medical Center, Taipei, Taiwan. .,Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan. .,Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan.
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Manz CR, Parikh RB, Small DS, Evans CN, Chivers C, Regli SH, Hanson CW, Bekelman JE, Rareshide CAL, O'Connor N, Schuchter LM, Shulman LN, Patel MS. Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer: A Stepped-Wedge Cluster Randomized Clinical Trial. JAMA Oncol 2020; 6:e204759. [PMID: 33057696 PMCID: PMC7563672 DOI: 10.1001/jamaoncol.2020.4759] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Serious illness conversations (SICs) are structured conversations between clinicians and patients about prognosis, treatment goals, and end-of-life preferences. Interventions that increase the rate of SICs between oncology clinicians and patients may improve goal-concordant care and patient outcomes. Objective To determine the effect of a clinician-directed intervention integrating machine learning mortality predictions with behavioral nudges on motivating clinician-patient SICs. Design, Setting, and Participants This stepped-wedge cluster randomized clinical trial was conducted across 20 weeks (from June 17 to November 1, 2019) at 9 medical oncology clinics (8 subspecialty oncology and 1 general oncology clinics) within a large academic health system in Pennsylvania. Clinicians at the 2 smallest subspecialty clinics were grouped together, resulting in 8 clinic groups randomly assigned to the 4 intervention wedge periods. Included participants in the intention-to-treat analyses were 78 oncology clinicians who received SIC training and their patients (N = 14 607) who had an outpatient oncology encounter during the study period. Interventions (1) Weekly emails to oncology clinicians with SIC performance feedback and peer comparisons; (2) a list of up to 6 high-risk patients (≥10% predicted risk of 180-day mortality) scheduled for the next week, estimated using a validated machine learning algorithm; and (3) opt-out text message prompts to clinicians on the patient's appointment day to consider an SIC. Clinicians in the control group received usual care consisting of weekly emails with cumulative SIC performance. Main Outcomes and Measures Percentage of patient encounters with an SIC in the intervention group vs the usual care (control) group. Results The sample consisted of 78 clinicians and 14 607 patients. The mean (SD) age of patients was 61.9 (14.2) years, 53.7% were female, and 70.4% were White. For all encounters, SICs were conducted among 1.3% in the control group and 4.6% in the intervention group, a significant difference (adjusted difference in percentage points, 3.3; 95% CI, 2.3-4.5; P < .001). Among 4124 high-risk patient encounters, SICs were conducted among 3.6% in the control group and 15.2% in the intervention group, a significant difference (adjusted difference in percentage points, 11.6; 95% CI, 8.2-12.5; P < .001). Conclusions and Relevance In this stepped-wedge cluster randomized clinical trial, an intervention that delivered machine learning mortality predictions with behavioral nudges to oncology clinicians significantly increased the rate of SICs among all patients and among patients with high mortality risk who were targeted by the intervention. Behavioral nudges combined with machine learning mortality predictions can positively influence clinician behavior and may be applied more broadly to improve care near the end of life. Trial Registration ClinicalTrials.gov Identifier: NCT03984773.
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Affiliation(s)
- Christopher R Manz
- Department of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ravi B Parikh
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Dylan S Small
- Wharton School of the University of Pennsylvania, Philadelphia
| | - Chalanda N Evans
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Medicine Nudge Unit, Philadelphia, Pennsylvania
| | - Corey Chivers
- University of Pennsylvania Health System, Philadelphia
| | - Susan H Regli
- University of Pennsylvania Health System, Philadelphia
| | | | - Justin E Bekelman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia
| | - Charles A L Rareshide
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Medicine Nudge Unit, Philadelphia, Pennsylvania
| | - Nina O'Connor
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Lynn M Schuchter
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia
| | - Lawrence N Shulman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia
| | - Mitesh S Patel
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.,Penn Medicine Nudge Unit, Philadelphia, Pennsylvania
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45
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Connelly LB, Birch S. Sustainability of Publicly Funded Health Care Systems: What Does Behavioural Economics Offer? PHARMACOECONOMICS 2020; 38:1289-1295. [PMID: 32895899 DOI: 10.1007/s40273-020-00955-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
There has been a rapid increase in the use of behavioural economics (BE) as a tool for policy makers to deploy, including in health-related applications. While this development has occurred over the past decade, health care systems have continued to struggle with escalating costs. We consider the potential role of BE for making improvements to health care system performance and the sustainability of publicly funded health care systems, in particular. We argue that the vast majority of applications in this field have been largely focussed on BE and public health, or the prevailing level of risks to health in populations, and with policy proposals to 'nudge' individual behaviour (e.g. in respect of dietary choices). Yet, improvements in population health may have little, if any, impact on the size, cost or efficiency of health care systems. Few applications of BE have focussed on the management, production, delivery or utilisation of health care services per se. The latter is our focus in this paper. We review the contributions on BE and health care and consider the potential for complementing the considerable work on BE and public health with a clear agenda for behavioural health care economics. This agenda should complement the work of conventional microeconomics in the health care sector.
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Affiliation(s)
- Luke B Connelly
- Centre for the Business and Economics of Health, The University of Queensland, Sir Llew Edwards Building, Level 5, St Lucia, Brisbane, QLD, 4072, Australia
- Department of Sociology and Business Law, The University of Bologna, Strada Maggiore 45, 40126, Bologna, Italy
| | - Stephen Birch
- Centre for the Business and Economics of Health, The University of Queensland, Sir Llew Edwards Building, Level 5, St Lucia, Brisbane, QLD, 4072, Australia.
- Manchester Centre for Health Economics, The University of Manchester, Oxford Road, Manchester, M13 9PL, England, UK.
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Belli HM, Chokshi SK, Hegde R, Troxel AB, Blecker S, Testa PA, Anderman J, Wong C, Mann DM. Implementation of a Behavioral Economics Electronic Health Record (BE-EHR) Module to Reduce Overtreatment of Diabetes in Older Adults. J Gen Intern Med 2020; 35:3254-3261. [PMID: 32885374 PMCID: PMC7661670 DOI: 10.1007/s11606-020-06119-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Accepted: 08/06/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND Intensive glycemic control is of unclear benefit and carries increased risk for older adults with diabetes. The American Geriatrics Society's (AGS) Choosing Wisely (CW) guideline promotes less aggressive glycemic targets and reduction in pharmacologic therapy for older adults with type II diabetes. Meanwhile, behavioral economic (BE) approaches offer promise in influencing hard-to-change behavior, and previous studies have shown the benefits of using electronic health record (EHR) technology to encourage guideline adherence. OBJECTIVE This study aimed to develop and pilot test an intervention that leverages BE with EHR technology to promote appropriate diabetes management in older adults. DESIGN A pilot study within the New York University Langone Health (NYULH) EHR and Epic system to deliver BE-inspired nudges at five NYULH clinics at varying time points from July 12, 2018, through October 31, 2019. PARTICIPANTS Clinicians across five practices in the NYULH system whose patients were older adults (age 76 and older) with type II diabetes. INTERVENTIONS A BE-EHR module comprising six nudges was developed through a series of design workshops, interviews, user-testing sessions, and clinic visits. BE principles utilized in the nudges include framing, social norming, accountable justification, defaults, affirmation, and gamification. MAIN MEASURES Patient-level CW compliance. KEY RESULTS CW compliance increased 5.1% from a 16-week interval at baseline to a 16-week interval post intervention. From February 14 to June 5, 2018 (prior to the first nudge launch in Vanguard clinics), CW compliance for 1278 patients was mean (95% CI)-16.1% (14.1%, 18.1%). From July 3 to October 22, 2019 (after BE-EHR module launch at all five clinics), CW compliance for 680 patients was 21.2% (18.1%, 24.3%). CONCLUSIONS The BE-EHR module shows promise for promoting the AGS CW guideline and improving diabetes management in older adults. A randomized controlled trial will commence to test the effectiveness of the intervention across 66 NYULH clinics. NIH TRIAL REGISTRY NUMBER NCT03409523.
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Affiliation(s)
- Hayley M Belli
- Division of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY, USA.
| | - Sara K Chokshi
- Division of Healthcare Delivery Science, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | | | - Andrea B Troxel
- Division of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Saul Blecker
- Division of Healthcare Delivery Science, Department of Population Health, New York University School of Medicine, New York, NY, USA.,Department of Medicine, New York University School of Medicine, New York, NY, USA
| | - Paul A Testa
- Medical Center Information Technology, NYU Langone Health, New York, NY, USA.,Department of Emergency Medicine, New York University School of Medicine, New York, NY, USA
| | - Judd Anderman
- Medical Center Information Technology, NYU Langone Health, New York, NY, USA
| | - Christina Wong
- Medical Center Information Technology, NYU Langone Health, New York, NY, USA
| | - Devin M Mann
- Division of Healthcare Delivery Science, Department of Population Health, New York University School of Medicine, New York, NY, USA.,Department of Medicine, New York University School of Medicine, New York, NY, USA.,Medical Center Information Technology, NYU Langone Health, New York, NY, USA
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Adusumalli S, Westover JE, Jacoby DS, Small DS, VanZandbergen C, Chen J, Cavella AM, Pepe R, Rareshide CAL, Snider CK, Volpp KG, Asch DA, Patel MS. Effect of Passive Choice and Active Choice Interventions in the Electronic Health Record to Cardiologists on Statin Prescribing: A Cluster Randomized Clinical Trial. JAMA Cardiol 2020; 6:40-48. [PMID: 33031534 DOI: 10.1001/jamacardio.2020.4730] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Importance Statin therapy is underused for many patients who could benefit. Objective To evaluate the effect of passive choice and active choice interventions in the electronic health record (EHR) to promote guideline-directed statin therapy. Design, Setting, and Participants Three-arm randomized clinical trial with a 6-month preintervention period and 6-month intervention. Randomization conducted at the cardiologist level at 16 cardiology practices in Pennsylvania and New Jersey. The study included 82 cardiologists and 11 693 patients. Data were analyzed between May 8, 2019, and January 9, 2020. Interventions In passive choice, cardiologists had to manually access an alert embedded in the EHR to select options to initiate or increase statin therapy. In active choice, an interruptive EHR alert prompted the cardiologist to accept or decline guideline-directed statin therapy. Cardiologists in the control group were informed of the trial but received no other interventions. Main Outcomes and Measures Primary outcome was statin therapy at optimal dose based on clinical guidelines. Secondary outcome was statin therapy at any dose. Results The sample comprised 11 693 patients with a mean (SD) age of 63.8 (9.1) years; 58% were male (n = 6749 of 11 693), 66% were White (n = 7683 of 11 693), and 24% were Black (n = 2824 of 11 693). The mean (SD) 10-year atherosclerotic cardiovascular disease (ASCVD) risk score was 15.4 (10.0); 68% had an ASVCD clinical diagnosis. Baseline statin prescribing rates at the optimal dose were 40.3% in the control arm, 39.1% in the passive choice arm, and 41.2% in the active choice arm. In adjusted analyses, the change in statin prescribing rates at optimal dose over time was not significantly different from control for passive choice (adjusted difference in percentage points, 0.2; 95% CI, -2.9 to 2.8; P = .86) or active choice (adjusted difference in percentage points, 2.4; 95% CI, -0.6 to 5.0; P = .08). In adjusted analyses of the subset of patients with clinical ASCVD, the active choice intervention resulted in a significant increase in statin prescribing at optimal dose relative to control (adjusted difference in percentage points, 3.8; 95% CI, 1.0-6.4; P = .008). No other subset analyses were significant. There were no significant changes in statin prescribing at any dose for either intervention. Conclusions and Relevance The passive choice and active choice interventions did not change statin prescribing. In the subgroup of patients with clinical ASCVD, the active choice intervention led to a small increase in statin prescribing at the optimal dose, which could inform the design or targeting of future interventions. Trial Registration ClinicalTrials.gov Identifier: NCT03271931.
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Affiliation(s)
- Srinath Adusumalli
- Penn Medicine, University of Pennsylvania, Philadelphia.,Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia
| | - Julie E Westover
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia
| | - Douglas S Jacoby
- Penn Medicine, University of Pennsylvania, Philadelphia.,Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Dylan S Small
- Wharton School, University of Pennsylvania, Philadelphia
| | | | - Jessica Chen
- Penn Medicine, University of Pennsylvania, Philadelphia
| | - Ann M Cavella
- Penn Medicine, University of Pennsylvania, Philadelphia
| | - Rebecca Pepe
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia
| | | | | | - Kevin G Volpp
- Penn Medicine, University of Pennsylvania, Philadelphia.,Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Wharton School, University of Pennsylvania, Philadelphia.,Crescenz Veterans Affairs Medical Center, Philadelphia
| | - David A Asch
- Penn Medicine, University of Pennsylvania, Philadelphia.,Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Wharton School, University of Pennsylvania, Philadelphia.,Crescenz Veterans Affairs Medical Center, Philadelphia
| | - Mitesh S Patel
- Penn Medicine, University of Pennsylvania, Philadelphia.,Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia.,Wharton School, University of Pennsylvania, Philadelphia.,Crescenz Veterans Affairs Medical Center, Philadelphia
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Maltz A, Sarid A. Attractive Flu Shot: A Behavioral Approach to Increasing Influenza Vaccination Uptake Rates. Med Decis Making 2020; 40:774-784. [PMID: 32772634 PMCID: PMC7457453 DOI: 10.1177/0272989x20944190] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 06/11/2020] [Indexed: 11/17/2022]
Abstract
Background. We suggest and examine a behavioral approach to increasing seasonal influenza vaccine uptake. Our idea combines behavioral effects generated by a dominated option, together with more traditional tools, such as providing information and recommendations. Methods. Making use of the seasonal nature of the flu, our treatments present participants with 2 options to receive the shot: early in the season, which is recommended and hence "attractive," or later. Three additional layers are examined: 1) mentioning that the vaccine is more likely to run out of stock late in the season, 2) the early shot is free while the late one costs a fee, and 3) the early shot carries a monetary benefit. We compare vaccination intentions in these treatments to those of a control group who were invited to receive the shot regardless of timing. Results. Using a sample of the Israeli adult population (n = 3271), we found positive effects of all treatments on vaccination intentions, and these effects were significant for 3 of the 4 treatments. In addition, the vast majority of those who are willing to vaccinate intend to get the early shot. Conclusions. Introducing 2 options to get vaccinated against influenza (early or late) positively affects intentions to receive the flu shot. In addition, this approach nudges participants to take the shot in early winter, a timing that has been shown to be more cost-effective.
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Affiliation(s)
| | - Adi Sarid
- Tel Aviv University and Sarid Research Services, Tel Aviv, IL, Israel
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Wang SY, Groene O. The effectiveness of behavioral economics-informed interventions on physician behavioral change: A systematic literature review. PLoS One 2020; 15:e0234149. [PMID: 32497082 PMCID: PMC7272062 DOI: 10.1371/journal.pone.0234149] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 05/19/2020] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Interventions informed by behavioral economics have the potential to change behaviors governed by underlying cognitive biases. This has been explored extensively for various use in healthcare including changing patient behavior and, more recently, physician behavior. We aimed to systematically review the literature on the use and effectiveness of behavioral economics-informed interventions in changing physician behavior. METHOD We searched Medline, Cochrane Library, EBM Reviews, PsychINFO, EconLit, Business Source Complete and Web of Science for peer-reviewed studies published in English that examined the effectiveness of behavioral economics-informed interventions on physician behavioral change. We included studies of physicians in all care settings and specialties and all types of objectively measured behavioral outcomes. The reporting quality of included studies was appraised using the Effective Public Health Practice Project tool. RESULTS We screened 6,439 studies and included 17 studies that met our criteria, involving at least 9,834 physicians. The majority of studies were conducted in the United States, published between 2014 and 2018, and were in the patient safety and quality domain. Reporting quality of included studies included strong (n = 7), moderate (n = 6) and weak (n = 4). Changing default settings and providing social reference points were the most widely studied interventions, with these studies consistently demonstrating their effectiveness in changing physician behavior despite differences in implementation methods among studies. Prescribing behavior was most frequently targeted in included studies, with consistent effectiveness of studied interventions. CONCLUSION Changing default settings and providing social reference points were the most frequently studied and consistently effective interventions in changing physician behavior towards guideline-concordant practices. Additional theory-informed research is needed to better understand the mechanisms underlying the effectiveness of these interventions to guide implementation.
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Affiliation(s)
- Sophie Y. Wang
- OptiMedis AG, Hamburg, Germany
- Hamburg Center for Health Economics, Hamburg, Germany
- * E-mail:
| | - Oliver Groene
- OptiMedis AG, Hamburg, Germany
- London School of Hygiene & Tropical Medicine, London, England, United Kingdom
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50
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Changolkar S, Rewley J, Balachandran M, Rareshide CAL, Snider CK, Day SC, Patel MS. Phenotyping physician practice patterns and associations with response to a nudge in the electronic health record for influenza vaccination: A quasi-experimental study. PLoS One 2020; 15:e0232895. [PMID: 32433678 PMCID: PMC7239439 DOI: 10.1371/journal.pone.0232895] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 04/23/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Health systems routinely implement changes to the design of electronic health records (EHRs). Physician behavior may vary in response and methods to identify this variation could help to inform future interventions. The objective of this study was to phenotype primary care physician practice patterns and evaluate associations with response to an EHR nudge for influenza vaccination. METHODS AND FINDINGS During the 2016-2017 influenza season, 3 primary care practices at Penn Medicine implemented an active choice intervention in the EHR that prompted medical assistants to template influenza vaccination orders for physicians to review during the visit. We used latent class analysis to identify physician phenotypes based on 9 demographic, training, and practice pattern variables, which were obtained from the EHR and publicly available sources. A quasi-experimental approach was used to evaluate response to the intervention relative to control practices over time in each of the physician phenotype groups. For each physician latent class, a generalized linear model with logit link was fit to the binary outcome of influenza vaccination at the patient visit level. The sample comprised 45,410 patients with a mean (SD) age of 58.7 (16.3) years, 67.1% were white, and 22.1% were black. The sample comprised 56 physicians with mean (SD) of 24.6 (10.2) years of experience and 53.6% were male. The model segmented physicians into groups that had higher (n = 41) and lower (n = 15) clinical workloads. Physicians in the higher clinical workload group had a mean (SD) of 818.8 (429.1) patient encounters, 11.6 (4.7) patient appointments per day, and 4.0 (1.1) days per week in clinic. Physicians in the lower clinical workload group had a mean (SD) of 343.7 (129.0) patient encounters, 8.0 (2.8) patient appointments per day, and 3.1 (1.2) days per week in clinic. Among the higher clinical workload group, the EHR nudge was associated with a significant increase in influenza vaccination (adjusted difference-in-difference in percentage points, 7.9; 95% CI, 0.4-9.0; P = .01). Among the lower clinical workload group, the EHR nudge was not associated with a significant difference in influenza vaccination rates (adjusted difference-in-difference in percentage points, -1.0; 95% CI, -5.3-5.8; P = .90). CONCLUSIONS A model-based approach categorized physician practice patterns into higher and lower clinical workload groups. The higher clinical workload group was associated with a significant response to an EHR nudge for influenza vaccination.
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Affiliation(s)
- Sujatha Changolkar
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- * E-mail:
| | - Jeffrey Rewley
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, United States of America
| | - Mohan Balachandran
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Charles A. L. Rareshide
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Christopher K. Snider
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Susan C. Day
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Mitesh S. Patel
- Penn Medicine Nudge Unit, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, United States of America
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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