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Rodriguez JA, Rudin RS, Dalal AK. Digitally powered care transitions: A paradigm shift for hospital medicine. J Hosp Med 2024; 19:739-743. [PMID: 38258515 DOI: 10.1002/jhm.13287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 01/24/2024]
Affiliation(s)
- Jorge A Rodriguez
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | | | - Anuj K Dalal
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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Vasudevan A, Plombon S, Piniella N, Garber A, Malik M, O'Fallon E, Goyal A, Gershanik E, Kumar V, Fiskio J, Yoon C, Lipsitz SR, Schnipper JL, Dalal AK. Effect of digital tools to promote hospital quality and safety on adverse events after discharge. J Am Med Inform Assoc 2024:ocae176. [PMID: 39013194 DOI: 10.1093/jamia/ocae176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 06/10/2024] [Accepted: 06/26/2024] [Indexed: 07/18/2024] Open
Abstract
OBJECTIVES Post-discharge adverse events (AEs) are common and heralded by new and worsening symptoms (NWS). We evaluated the effect of electronic health record (EHR)-integrated digital tools designed to promote quality and safety in hospitalized patients on NWS and AEs after discharge. MATERIALS AND METHODS Adult general medicine patients at a community hospital were enrolled. We implemented a dashboard which clinicians used to assess safety risks during interdisciplinary rounds. Post-implementation patients were randomized to complete a discharge checklist whose responses were incorporated into the dashboard. Outcomes were assessed using EHR review and 30-day call data adjudicated by 2 clinicians and analyzed using Poisson regression. We conducted comparisons of each exposure on post-discharge outcomes and used selected variables and NWS as independent predictors to model post-discharge AEs using multivariable logistic regression. RESULTS A total of 260 patients (122 pre, 71 post [dashboard], 67 post [dashboard plus discharge checklist]) enrolled. The adjusted incidence rate ratios (aIRR) for NWS and AEs were unchanged in the post- compared to pre-implementation period. For patient-reported NWS, aIRR was non-significantly higher for dashboard plus discharge checklist compared to dashboard participants (1.23 [0.97,1.56], P = .08). For post-implementation patients with an AE, aIRR for duration of injury (>1 week) was significantly lower for dashboard plus discharge checklist compared to dashboard participants (0 [0,0.53], P < .01). In multivariable models, certain patient-reported NWS were associated with AEs (3.76 [1.89,7.82], P < .01). DISCUSSION While significant reductions in post-discharge AEs were not observed, checklist participants experiencing a post-discharge AE were more likely to report NWS and had a shorter duration of injury. CONCLUSION Interventions designed to prompt patients to report NWS may facilitate earlier detection of AEs after discharge. CLINICALTRIALS.GOV NCT05232656.
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Affiliation(s)
- Anant Vasudevan
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Savanna Plombon
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Mass General Brigham, Boston, MA 02145, United States
| | - Nicholas Piniella
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
| | - Alison Garber
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
| | - Maria Malik
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
| | - Erin O'Fallon
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Abhishek Goyal
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Esteban Gershanik
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Vivek Kumar
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Julie Fiskio
- Mass General Brigham, Boston, MA 02145, United States
| | - Cathy Yoon
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
| | - Stuart R Lipsitz
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Jeffrey L Schnipper
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Anuj K Dalal
- Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, United States
- Harvard Medical School, Boston, MA 02115, United States
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Khosravi M, Izadi R, Shojaei P, Delavari S. Strategies to promote patient-centeredness within the healthcare industry: A grey-based multicriteria decision making methods. J Eval Clin Pract 2024. [PMID: 38970257 DOI: 10.1111/jep.14070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 05/09/2024] [Accepted: 06/14/2024] [Indexed: 07/08/2024]
Abstract
RATIONALE The international policy agenda has recently advocated for the development of patient-centeredness in healthcare service delivery. Consequently, various stakeholders in the healthcare systems have expressed a vital need for identifying strategies and tools that can enhance patient-centeredness. AIMS AND OBJECTIVES The objective of this paper was to prioritise and benchmark the strategies that can improve patient-centeredness in healthcare service delivery. METHOD We employed a multi-stage research scenario that consisted of two phases: a phase including of a scoping review to identify the current strategies to improve patient-centeredness (PC); And, a phase including of a multicriteria best-worst method to assign weights to PC principles, and a questionnaire administered to a sample of experts for benchmarking the strategies derived from the literature using the Grey Multi-Attributive Border Approximation Area Comparison (MABAC-G) method. RESULTS The most important principle of patient-centeredness was deemed to be access to care, while telehealth tools and Electronic Health Information Systems were respectively suggested as the most efficacious platforms for promoting patient-centeredness. CONCLUSION We recommend that administrators and policy makers in the healthcare industry prioritise the implementation and research of strategies such as telehealth tools and electronic health information systems to enhance access and patient-centeredness in the healthcare systems.
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Affiliation(s)
- Mohsen Khosravi
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reyhane Izadi
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Payam Shojaei
- Department of Management, Shiraz University, Shiraz, Iran
| | - Sajad Delavari
- Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
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Wu T, Xiao X, Yan S, Fang Y, Wang M, Zu F, Zhang Y, Qian R. Digital health interventions to improve adherence to oral antipsychotics among patients with schizophrenia: a scoping review. BMJ Open 2023; 13:e071984. [PMID: 37977861 PMCID: PMC10660841 DOI: 10.1136/bmjopen-2023-071984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
OBJECTIVES To assess the current evidence on the potential of digital health interventions (DHIs) to improve adherence to oral antipsychotics among patients with schizophrenia by assessing the methodologies, feasibility and effectiveness of DHIs as well as the perceptions of relevant stakeholders. DESIGN The scoping review was conducted based on the methodologies outlined by Levac et al and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. DATA SOURCES PubMed, Embase, Web of Science, Scopus, CINAHL, PsycINFO and the Cochrane Library were searched in August 2023 to identify relevant publications from the previous decade. ELIGIBILITY CRITERIA Studies published in English focused on improving medication adherence among adult patients with schizophrenia or schizoaffective disorder via DHIs were selected. Protocols, editorials, comments, perspectives, reviews, correspondence and conference abstracts were excluded. DATA EXTRACTION AND SYNTHESIS The extracted data included general information about the study, framework, participants, features and strategies of DHIs, measurement tools for adherence used, and main findings. RESULTS In total, 64 studies were included in the qualitative synthesis. Features used in DHIs to improve medication adherence included phone calls, text messages, mobile apps, sensors, web-based platforms and electronic devices. Strategies included medication reminders and monitoring, providing medication-related information and suggestions, other illness management suggestions and individual support. Texting and mobile apps were commonly used as medication reminders and monitoring methods. Additionally, the use of sensors combined with other digital technologies has garnered significant attention. All the interventions were considered acceptable and feasible, and several were assessed in pilot trials. Preliminary findings suggest that DHIs could enhance medication adherence in patients with schizophrenia. However, further validation of their effectiveness is required. CONCLUSION DHIs are a promising approach to enhancing medication adherence among patients with schizophrenia. Future interventions should be interactive, focusing on user preference, experience and privacy.
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Affiliation(s)
- Tao Wu
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xu Xiao
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shirui Yan
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yuanyuan Fang
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Min Wang
- Department of Adult Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Fengying Zu
- Department of Adult Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yanhong Zhang
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ruilian Qian
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Nielsen MS, Steinsbekk A, Nøst TH. Interest in using patient portals among adolescents in mental health care - a cross-sectional study. BMC Health Serv Res 2023; 23:841. [PMID: 37559093 PMCID: PMC10410786 DOI: 10.1186/s12913-023-09823-8] [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: 05/08/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023] Open
Abstract
INTRODUCTION Adolescents in mental health care may benefit from using patient portals to access personalised information about their health and treatment. While no studies have considered the interest in using patient portals among adolescents in mental health care, factors such as patient activation, self-reported health, depressive symptoms, diagnosis, healthcare utilisation, and eHealth literacy have been found to be associated with interest in and use of patient portals in other patient groups. Therefore, the aim was to explore the associations between interest in using patient portals and patient activation, self-reported health, depressive symptoms, diagnosis, healthcare utilisation and eHealth literacy among adolescents in specialist mental health care. METHODS A cross-sectional study among adolescents between 12 and 18 years of age receiving or having received treatment at four different specialist child and adolescent mental healthcare services across Norway. The adolescents´ answers to the questionnaire were linked to data on their healthcare utilisation and ICD-10 diagnoses from the Norwegian Patient Registry. The data were analysed using descriptive statistics and bivariate tests. RESULTS The 53 adolescents who participated, had a mean age of 15 years and 68% of them identified as female. Two out of three (64%) were interested in using patient portals. Most of the factors were not associated with interest in using patient portals. However, adolescents with mental and behavioural disorders (F diagnoses, 75% interested) were more interested in using patient portals compared to those with symptoms and signs involving cognition, perception, emotional state, and behaviour (R diagnoses, 31% interested). CONCLUSION Except for mental health diagnosis, this study did not identify any specific factors likely to impact patient portal interest among adolescents in specialist mental health care.
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Affiliation(s)
- Martine Stecher Nielsen
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway.
| | - Aslak Steinsbekk
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Norwegian Centre for E-health Research, Tromsø, Norway
| | - Torunn Hatlen Nøst
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway
- Norwegian Advisory Unit on Complex Symptom Disorders, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
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Garber A, Garabedian P, Wu L, Lam A, Malik M, Fraser H, Bersani K, Piniella N, Motta-Calderon D, Rozenblum R, Schnock K, Griffin J, Schnipper JL, Bates DW, Dalal AK. Developing, pilot testing, and refining requirements for 3 EHR-integrated interventions to improve diagnostic safety in acute care: a user-centered approach. JAMIA Open 2023; 6:ooad031. [PMID: 37181729 PMCID: PMC10172040 DOI: 10.1093/jamiaopen/ooad031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 01/04/2023] [Accepted: 04/20/2023] [Indexed: 05/16/2023] Open
Abstract
Objective To describe a user-centered approach to develop, pilot test, and refine requirements for 3 electronic health record (EHR)-integrated interventions that target key diagnostic process failures in hospitalized patients. Materials and Methods Three interventions were prioritized for development: a Diagnostic Safety Column (DSC) within an EHR-integrated dashboard to identify at-risk patients; a Diagnostic Time-Out (DTO) for clinicians to reassess the working diagnosis; and a Patient Diagnosis Questionnaire (PDQ) to gather patient concerns about the diagnostic process. Initial requirements were refined from analysis of test cases with elevated risk predicted by DSC logic compared to risk perceived by a clinician working group; DTO testing sessions with clinicians; PDQ responses from patients; and focus groups with clinicians and patient advisors using storyboarding to model the integrated interventions. Mixed methods analysis of participant responses was used to identify final requirements and potential implementation barriers. Results Final requirements from analysis of 10 test cases predicted by the DSC, 18 clinician DTO participants, and 39 PDQ responses included the following: DSC configurable parameters (variables, weights) to adjust baseline risk estimates in real-time based on new clinical data collected during hospitalization; more concise DTO wording and flexibility for clinicians to conduct the DTO with or without the patient present; and integration of PDQ responses into the DSC to ensure closed-looped communication with clinicians. Analysis of focus groups confirmed that tight integration of the interventions with the EHR would be necessary to prompt clinicians to reconsider the working diagnosis in cases with elevated diagnostic error (DE) risk or uncertainty. Potential implementation barriers included alert fatigue and distrust of the risk algorithm (DSC); time constraints, redundancies, and concerns about disclosing uncertainty to patients (DTO); and patient disagreement with the care team's diagnosis (PDQ). Discussion A user-centered approach led to evolution of requirements for 3 interventions targeting key diagnostic process failures in hospitalized patients at risk for DE. Conclusions We identify challenges and offer lessons from our user-centered design process.
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Affiliation(s)
- Alison Garber
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Pamela Garabedian
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Lindsey Wu
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Alyssa Lam
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Maria Malik
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Hannah Fraser
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Kerrin Bersani
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Nicholas Piniella
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Daniel Motta-Calderon
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ronen Rozenblum
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Kumiko Schnock
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | | | - Jeffrey L Schnipper
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - David W Bates
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Anuj K Dalal
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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Piniella NR, Fuller TE, Smith L, Salmasian H, Yoon CS, Lipsitz SR, Schnipper JL, Dalal AK. Early Expected Discharge Date Accuracy During Hospitalization: A Multivariable Analysis. J Med Syst 2023; 47:63. [PMID: 37171484 PMCID: PMC10175905 DOI: 10.1007/s10916-023-01952-1] [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: 11/10/2022] [Accepted: 04/15/2023] [Indexed: 05/13/2023]
Abstract
INTRODUCTION Accurate estimation of an expected discharge date (EDD) early during hospitalization impacts clinical operations and discharge planning. METHODS We conducted a retrospective study of patients discharged from six general medicine units at an academic medical center in Boston, MA from January 2017 to June 2018. We retrieved all EDD entries and patient, encounter, unit, and provider data from the electronic health record (EHR), and public weather data. We excluded patients who expired, discharged against medical advice, or lacked an EDD within the first 24 h of hospitalization. We used generalized estimating equations in a multivariable logistic regression analysis to model early EDD accuracy (an accurate EDD entered within 24 h of admission), adjusting for all covariates and clustering by patient. We similarly constructed a secondary multivariable model using covariates present upon admission alone. RESULTS Of 3917 eligible hospitalizations, 890 (22.7%) had at least one accurate early EDD entry. Factors significantly positively associated (OR > 1) with an accurate early EDD included clinician-entered EDD, admit day and discharge day during the work week, and teaching clinical units. Factors significantly negatively associated (OR < 1) with an accurate early EDD included Elixhauser Comorbidity Index ≥ 11 and length of stay of two or more days. C-statistics for the primary and secondary multivariable models were 0.75 and 0.60, respectively. CONCLUSIONS EDDs entered within the first 24 h of admission were often inaccurate. While several variables from the EHR were associated with accurate early EDD entries, few would be useful for prospective prediction.
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Affiliation(s)
- Nicholas R Piniella
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
- New York Institute of Technology College of Osteopathic Medicine, Old Westbury, NY, USA.
| | - Theresa E Fuller
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Laura Smith
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Hojjat Salmasian
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Cathy S Yoon
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Stuart R Lipsitz
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jeffrey L Schnipper
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Anuj K Dalal
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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A Targeted Discharge Planning for High-Risk Readmissions: Focus on Patients and Caregivers. Prof Case Manag 2023; 28:60-73. [PMID: 36662660 DOI: 10.1097/ncm.0000000000000591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
PURPOSE OF STUDY Racial and ethnic minorities with socioeconomic disadvantages are vulnerable to 30-day hospital readmissions. A 16-week quality improvement (QI) project aimed to decrease readmissions of the vulnerable patient populations through tailored discharge planning. The project evaluated the effectiveness of using a 25-item checklist to increase patients' and caregivers' health knowledge, skills, and willingness for self-care and decrease readmissions. PRIMARY PRACTICE SETTING The project took place in an inner-city teaching hospital in the Mid-Atlantic region. METHODOLOGY AND PARTICIPANTS A casual comparative design compared readmissions of the before-intervention group (May 1-July 31, 2021) and the after-intervention group (August 1-October 31, 2021). A pre- and postintervention design evaluated the effectiveness of a 25-item checklist by analyzing the differences of Patient Activation Measure (PAM) pre- and postintervention survey scores and levels in the after-intervention group. Participants were General Medicine Unit patients 18 years or older who had Medicare Fee-for-Service, resided in 10 zip codes near the hospital, and were discharged home. RESULTS Of 30 patients who received the intervention, one patient was readmitted compared with 11 readmissions from 58 patients who did not receive the intervention. The readmission rate was decreased from 19% to 4% during the 16-week project: 11 (19%) versus 1 (4%), p = .038. After receiving the intervention, patients' PAM scores were increased by 8.55, t(22) = 2.67, p < .014. Three patients had a lower postintervention survey level, whereas 12 patients obtained a higher postintervention survey level (p = .01). The increase in scores and levels supported that the intervention effectively improved patients' self-management knowledge, skill, and willingness for self-care. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE The QI project showed that the hospital could partner with patients at high risk for readmission and their caregivers. Accurate evaluation of patients' health knowledge, skills, and willingness for self-care was essential for sufficient discharge planning. Tailored use of the checklist improved patients' self-activation and functionally facilitated patients' and caregivers' care needs and capabilities. The checklist was statistically and clinically effective in decreasing 30-day hospital readmissions of vulnerable patient populations.
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AlKnawy B, Kozlakidis Z, Tarkoma S, Bates D, Honkela A, Crooks G, Rhee K, McKillop M. Digital public health leadership in the global fight for health security. BMJ Glob Health 2023; 8:bmjgh-2022-011454. [PMID: 36792230 PMCID: PMC9933676 DOI: 10.1136/bmjgh-2022-011454] [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: 12/05/2022] [Accepted: 02/03/2023] [Indexed: 02/17/2023] Open
Abstract
The COVID-19 pandemic highlighted the need to prioritise mature digital health and data governance at both national and supranational levels to guarantee future health security. The Riyadh Declaration on Digital Health was a call to action to create the infrastructure needed to share effective digital health evidence-based practices and high-quality, real-time data locally and globally to provide actionable information to more health systems and countries. The declaration proposed nine key recommendations for data and digital health that need to be adopted by the global health community to address future pandemics and health threats. Here, we expand on each recommendation and provide an evidence-based roadmap for their implementation. This policy document serves as a resource and toolkit that all stakeholders in digital health and disaster preparedness can follow to develop digital infrastructure and protocols in readiness for future health threats through robust digital public health leadership.
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Affiliation(s)
- Bandar AlKnawy
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | | | - Sasu Tarkoma
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - David Bates
- Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Antti Honkela
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - George Crooks
- Digital Health and Care Innovation Centre, Glasgow, UK
| | - Kyu Rhee
- CVS Health Corp, Woonsocket, Rhode Island, USA
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Development of a Primary Care Transitions Clinic in an Academic Medical Center. J Gen Intern Med 2022; 37:582-589. [PMID: 34327654 PMCID: PMC8321504 DOI: 10.1007/s11606-021-07019-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 06/29/2021] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Transitions of care experiences leave patients vulnerable to adverse outcomes, including readmissions, worsening symptoms, and reductions in functional status. AIM To describe and evaluate a primary care transitions clinic that serves patients with medical and/or social needs that must be addressed prior to establishment of primary care. SETTING Brigham Health, an academic medical center in Boston, MA. PROGRAM DESCRIPTION The transitions clinic opened within an existing primary care practice in January 2019. It employs one full-time nurse care coordinator and one full-time medical assistant, and is staffed by one primary care physician (PCP) or nurse practitioner each weekday afternoon. Both medical and social diagnoses that require follow-up post-discharge are addressed. Patients with any insurance are seen as many times as necessary until PCP care is established. PROGRAM EVALUATION In the year after its establishment (January 20, 2019, to January 19, 2020), the transitions clinic received 498 referrals (73.2% from the emergency department (ED), 23.3% from inpatient), with 207 patients ultimately seen. Patients were seen 5 (median; IQR 4-6) work days post-discharge, with 2 (median; IQR 1-3) visits per patient. Patients seen in the transitions clinic had significantly fewer ED visits than a comparator cohort referred to Brigham Health Primary Care after ED or hospital discharge in the year prior (January 20, 2018, to January 20, 2019). Patients seen in the transitions clinic additionally had significantly fewer ED visits and hospitalizations in the three months post-referral than in the three months pre-referral. The most common social determinants addressed by the clinic's nurse coordinator were insurance, transportation, and housing. DISCUSSION A primary care transitions clinic can provide accessible, attentive care post-discharge with positive effects on healthcare utilization. Availability of a multidisciplinary team that can see patients for repeated visits until establishment of PCP care was a key success factor for the transitions clinic.
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Rudin RS, Perez S, Rodriguez JA, Sousa J, Plombon S, Arcia A, Foer D, Bates DW, Dalal AK. User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care. J Am Med Inform Assoc 2021; 28:2433-2444. [PMID: 34406413 PMCID: PMC8510383 DOI: 10.1093/jamia/ocab157] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/06/2021] [Accepted: 07/13/2021] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE To determine user and electronic health records (EHR) integration requirements for a scalable remote symptom monitoring intervention for asthma patients and their providers. METHODS Guided by the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework, we conducted a user-centered design process involving English- and Spanish-speaking patients and providers affiliated with an academic medical center. We conducted a secondary analysis of interview transcripts from our prior study, new design sessions with patients and primary care providers (PCPs), and a survey of PCPs. We determined EHR integration requirements as part of the asthma app design and development process. RESULTS Analysis of 26 transcripts (21 patients, 5 providers) from the prior study, 21 new design sessions (15 patients, 6 providers), and survey responses from 55 PCPs (71% of 78) identified requirements. Patient-facing requirements included: 1- or 5-item symptom questionnaires each week, depending on asthma control; option to request a callback; ability to enter notes, triggers, and peak flows; and tips pushed via the app prior to a clinic visit. PCP-facing requirements included a clinician-facing dashboard accessible from the EHR and an EHR inbox message preceding the visit. PCP preferences diverged regarding graphical presentations of patient-reported outcomes (PROs). Nurse-facing requirements included callback requests sent as an EHR inbox message. Requirements were consistent for English- and Spanish-speaking patients. EHR integration required use of custom application programming interfaces (APIs). CONCLUSION Using the NASSS framework to guide our user-centered design process, we identified patient and provider requirements for scaling an EHR-integrated remote symptom monitoring intervention in primary care. These requirements met the needs of patients and providers. Additional standards for PRO displays and EHR inbox APIs are needed to facilitate spread.
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Affiliation(s)
- Robert S Rudin
- Health Care Division, RAND Corporation, Boston, Massachusetts, USA
| | - Sofia Perez
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jorge A Rodriguez
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Jessica Sousa
- Health Care Division, RAND Corporation, Boston, Massachusetts, USA
| | - Savanna Plombon
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Adriana Arcia
- School of Nursing, Columbia University School of Nursing, New York, New York, USA
| | - Dinah Foer
- Harvard Medical School, Boston, Massachusetts, USA
- Division of General Internal Medicine and Division of Allergy and Clinical Immunology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - David W Bates
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Anuj K Dalal
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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12
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Bakken S. Patients and consumers (and the data they generate): an underutilized resource. J Am Med Inform Assoc 2021; 28:675-676. [PMID: 33677514 DOI: 10.1093/jamia/ocab040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 02/16/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Suzanne Bakken
- School of Nursing, Department of Biomedical Informatics, and Data Science Institute, Columbia University, New York, New York, USA
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