1
|
McCleary NJ, Merle JL, Richardson JE, Bass M, Garcia SF, Cheville AL, Mitchell SA, Jensen R, Minteer S, Austin JD, Tesch N, DiMartino L, Hassett MJ, Osarogiagbon RU, Wong S, Schrag D, Cella D, Smith AW, Smith JD. Bridging clinical informatics and implementation science to improve cancer symptom management in ambulatory oncology practices: experiences from the IMPACT consortium. JAMIA Open 2024; 7:ooae081. [PMID: 39234146 PMCID: PMC11373565 DOI: 10.1093/jamiaopen/ooae081] [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: 05/25/2023] [Revised: 07/04/2024] [Accepted: 08/22/2024] [Indexed: 09/06/2024] Open
Abstract
Objectives To report lessons from integrating the methods and perspectives of clinical informatics (CI) and implementation science (IS) in the context of Improving the Management of symPtoms during and following Cancer Treatment (IMPACT) Consortium pragmatic trials. Materials and Methods IMPACT informaticists, trialists, and implementation scientists met to identify challenges and solutions by examining robust case examples from 3 Research Centers that are deploying systematic symptom assessment and management interventions via electronic health records (EHRs). Investigators discussed data collection and CI challenges, implementation strategies, and lessons learned. Results CI implementation strategies and EHRs systems were utilized to collect and act upon symptoms and impairments in functioning via electronic patient-reported outcomes (ePRO) captured in ambulatory oncology settings. Limited EHR functionality and data collection capabilities constrained the ability to address IS questions. Collecting ePRO data required significant planning and organizational champions adept at navigating ambiguity. Discussion Bringing together CI and IS perspectives offers critical opportunities for monitoring and managing cancer symptoms via ePROs. Discussions between CI and IS researchers identified and addressed gaps between applied informatics implementation and theory-based IS trial and evaluation methods. The use of common terminology may foster shared mental models between CI and IS communities to enhance EHR design to more effectively facilitate ePRO implementation and clinical responses. Conclusion Implementation of ePROs in ambulatory oncology clinics benefits from common understanding of the concepts, lexicon, and incentives between CI implementers and IS researchers to facilitate and measure the results of implementation efforts.
Collapse
Affiliation(s)
- Nadine Jackson McCleary
- Department of Medical Oncology and Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA 02115, United States
| | - James L Merle
- Division of Health System Innovation and Research, Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT 84132, United States
| | - Joshua E Richardson
- Galter Health Sciences Library and Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, United States
| | - Michael Bass
- Department of Medical Social Science, Northwestern University, Chicago, IL 60611, United States
| | - Sofia F Garcia
- Department of Medical Social Science, Northwestern University, Chicago, IL 60611, United States
| | - Andrea L Cheville
- Department of Physical Medicine & Rehabilitation, Mayo Clinic, MN 55905, United States
| | - Sandra A Mitchell
- Outcomes Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD 20850, United States
| | - Roxanne Jensen
- Outcomes Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD 20850, United States
| | - Sarah Minteer
- Department of Physical Medicine & Rehabilitation, Mayo Clinic, MN 55905, United States
| | - Jessica D Austin
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic Arizona, Mayo Clinic Cancer Center, Population Sciences Program, Scottsdale, AZ 85054, United States
| | - Nathan Tesch
- Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, MN 55905, United States
| | - Lisa DiMartino
- University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
- RTI International, Research Triangle Park, NC 27709, United States
| | - Michael J Hassett
- Department of Medical Oncology and Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA 02115, United States
| | | | - Sandra Wong
- Department of Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH 03766, United States
| | - Deborah Schrag
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States
| | - David Cella
- Institute for Public Health and Medicine, Center for Patient-Centered Outcomes, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, United States
| | - Ashley Wilder Smith
- Outcomes Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD 20850, United States
| | - Justin D Smith
- Division of Health System Innovation and Research, Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT 84132, United States
| |
Collapse
|
2
|
Kwok G, Senger A, Sharma A, Mandato I, Devine KA. Understanding the multilevel factors influencing the implementation of digital health interventions for supportive care in Adolescents and Young Adult (AYA) cancer survivorship: determinants of adopting mindfulness-based mobile applications. Implement Sci Commun 2024; 5:76. [PMID: 39020422 PMCID: PMC11253365 DOI: 10.1186/s43058-024-00612-w] [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: 01/15/2024] [Accepted: 07/08/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Adolescents and Young Adult (AYA) cancer survivors are at risk for psychological distress due to their unique developmental and medical needs. Healthcare providers can leverage the convenience and appeal of technology to provide supportive care for this vulnerable population. Using evidence-based mindfulness-based mobile interventions as a case example, the goal of this study was to identify key patient-, provider-, and organization-level barriers and facilitators to supportive care and implementing digital health interventions in AYA survivorship care. METHODS Twenty semi-structured interviews were conducted with stakeholders including AYA survivors (n = 10; between 18-29 years old) and clinical providers and administrators (n = 10). Interviews were transcribed and deductively mapped using the Consolidated Framework for Implementation Research (CFIR) and Theoretical Domains Framework (TDF) complementary frameworks. RESULTS Results indicated that factors like cost and patients' needs and resources were prevalent among both survivors and providers. There were key differences between providers and AYA survivors. Providers' adoption and promotion of digital health interventions were influenced most strongly by contextual factors, including available resources (Inner Setting), culture (Outer Setting), and networks and communications (Outer Setting). On the other hand, survivors emphasized individual and intervention-related factors; they reported that social influence and knowledge influenced their adoption and use of digital health interventions, including meditation apps. CONCLUSIONS These results identified barriers and facilitators to the adoption of supportive care digital health interventions from multiple stakeholders. Results can be used to guide the development of implementation strategies to improve the uptake of digital health interventions in survivorship care, ultimately improving the psychosocial well-being of AYA cancer survivors.
Collapse
Affiliation(s)
- Gary Kwok
- Cancer Prevention Precision Control Institute, Center for Discovery & Innovation, at Hackensack Meridian Health, Nutley, NJ, 07110, USA.
- Department of Pediatrics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA.
| | - Angela Senger
- Department of Pediatrics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
| | - Archana Sharma
- Department of Pediatrics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
| | - Ivelisse Mandato
- Department of Pediatrics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
| | - Katie A Devine
- Department of Pediatrics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
| |
Collapse
|
3
|
Ulrich S, Gantenbein AR, Zuber V, Von Wyl A, Kowatsch T, Künzli H. Development and Evaluation of a Smartphone-Based Chatbot Coach to Facilitate a Balanced Lifestyle in Individuals With Headaches (BalanceUP App): Randomized Controlled Trial. J Med Internet Res 2024; 26:e50132. [PMID: 38265863 PMCID: PMC10851123 DOI: 10.2196/50132] [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: 06/27/2023] [Revised: 09/20/2023] [Accepted: 12/12/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Primary headaches, including migraine and tension-type headaches, are widespread and have a social, physical, mental, and economic impact. Among the key components of treatment are behavior interventions such as lifestyle modification. Scalable conversational agents (CAs) have the potential to deliver behavior interventions at a low threshold. To our knowledge, there is no evidence of behavioral interventions delivered by CAs for the treatment of headaches. OBJECTIVE This study has 2 aims. The first aim was to develop and test a smartphone-based coaching intervention (BalanceUP) for people experiencing frequent headaches, delivered by a CA and designed to improve mental well-being using various behavior change techniques. The second aim was to evaluate the effectiveness of BalanceUP by comparing the intervention and waitlist control groups and assess the engagement and acceptance of participants using BalanceUP. METHODS In an unblinded randomized controlled trial, adults with frequent headaches were recruited on the web and in collaboration with experts and allocated to either a CA intervention (BalanceUP) or a control condition. The effects of the treatment on changes in the primary outcome of the study, that is, mental well-being (as measured by the Patient Health Questionnaire Anxiety and Depression Scale), and secondary outcomes (eg, psychosomatic symptoms, stress, headache-related self-efficacy, intention to change behavior, presenteeism and absenteeism, and pain coping) were analyzed using linear mixed models and Cohen d. Primary and secondary outcomes were self-assessed before and after the intervention, and acceptance was assessed after the intervention. Engagement was measured during the intervention using self-reports and usage data. RESULTS A total of 198 participants (mean age 38.7, SD 12.14 y; n=172, 86.9% women) participated in the study (intervention group: n=110; waitlist control group: n=88). After the intervention, the intention-to-treat analysis revealed evidence for improved well-being (treatment: β estimate=-3.28, 95% CI -5.07 to -1.48) with moderate between-group effects (Cohen d=-0.66, 95% CI -0.99 to -0.33) in favor of the intervention group. We also found evidence of reduced somatic symptoms, perceived stress, and absenteeism and presenteeism, as well as improved headache management self-efficacy, application of behavior change techniques, and pain coping skills, with effects ranging from medium to large (Cohen d=0.43-1.05). Overall, 64.8% (118/182) of the participants used coaching as intended by engaging throughout the coaching and completing the outro. CONCLUSIONS BalanceUP was well accepted, and the results suggest that coaching delivered by a CA can be effective in reducing the burden of people who experience headaches by improving their well-being. TRIAL REGISTRATION German Clinical Trials Register DRKS00017422; https://trialsearch.who.int/Trial2.aspx?TrialID=DRKS00017422.
Collapse
Affiliation(s)
- Sandra Ulrich
- School of Applied Psychology, Zurich University of Applied Sciences, Zurich, Switzerland
| | - Andreas R Gantenbein
- Pain and Research Unit, ZURZACH Care, Bad Zurzach, Switzerland
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Viktor Zuber
- School of Applied Psychology, Zurich University of Applied Sciences, Zurich, Switzerland
| | - Agnes Von Wyl
- School of Applied Psychology, Zurich University of Applied Sciences, Zurich, Switzerland
| | - Tobias Kowatsch
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St.Gallen, St. Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Hansjörg Künzli
- School of Applied Psychology, Zurich University of Applied Sciences, Zurich, Switzerland
| |
Collapse
|
4
|
Gopal A, Torres WO, Winawer I, Poole S, Balan A, Stuart HS, Fritz NE, Gelfand JM, Allen DD, Bove R. "Self-care selfies": Patient-uploaded videos capture meaningful changes in dexterity over 6 months. Ann Clin Transl Neurol 2023; 10:2394-2406. [PMID: 37877622 PMCID: PMC10723247 DOI: 10.1002/acn3.51928] [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: 07/25/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/26/2023] Open
Abstract
OBJECTIVE Upper extremity function reflects disease progression in multiple sclerosis (MS). This study evaluated the feasibility, validity, and sensitivity to change of remote dexterity assessments applying human pose estimation to patient-uploaded videos. METHODS A discovery cohort of 50 adults with MS recorded "selfie" videos of self-care tasks at home: buttoning, brushing teeth, and eating. Kinematic data were extracted using MediaPipe Hand pose estimation software. Clinical comparison tests were grip and pinch strength, 9 hole peg test (9HPT), and vibration, and patient-reported dexterity assessments (ABILHAND). Feasibility and acceptability were evaluated (Health-ITUES framework). A validation cohort (N = 35) completed 9HPT and videos. RESULTS The modality was feasible: 88% of the 50 enrolled participants uploaded ≥3 videos, and 74% completed the study. It was also usable: assessments easy to access (95%), platform easy to use (97%), and tasks representative of daily activities (86%). The buttoning task revealed four metrics with strong correlations with 9HPT (nondominant: r = 0.60-0.69, dominant: r = 0.51-0.57, P < 0.05) and ABILHAND (r = -0.48, P = 0.05). Retest validity at 1 week was stable (r > 0.8). Cross-sectional correlations between video metrics and 9HPT were similar at 6 months, and in the validation cohort (nondominant: r = 0.46, dominant: r = 0.45, P < 0.05). Over 6 months, pinch strength (5.8-5.0 kg/cm2 , P = 0.05) and self-reported pinch (ABILHAND) decreased marginally. While only 15% of participants worsened by 20% on 9HPT, 70% worsened in key buttoning video metrics. INTERPRETATION Patient-uploaded videos represent a novel, patient-centered modality for capturing dexterity that appears valid and sensitive to change, enhancing its potential to be disseminated for neurological disease monitoring and treatment.
Collapse
Affiliation(s)
- Arpita Gopal
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Wilson O. Torres
- Department of Mechanical EngineeringUniversity of CaliforniaBerkeleyCaliforniaUSA
| | - Ilana Winawer
- Department of Physical Therapy and Rehabilitation SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Shane Poole
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ayushi Balan
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Hannah S. Stuart
- Department of Mechanical EngineeringUniversity of CaliforniaBerkeleyCaliforniaUSA
| | - Nora E. Fritz
- Department of Neurology and Program of Physical TherapyWayne State UniversityDetroitMichiganUSA
| | - Jeffrey M. Gelfand
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Diane D. Allen
- Department of Physical Therapy and Rehabilitation SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Riley Bove
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| |
Collapse
|
5
|
Ming DY, Wong W, Jones KA, Antonelli RC, Gujral N, Gonzales S, Rogers U, Ratliff W, Shah N, King HA. Feasibility of Implementation of a Mobile Digital Personal Health Record to Coordinate Care for Children and Youth With Special Health Care Needs in Primary Care: Protocol for a Mixed Methods Study. JMIR Res Protoc 2023; 12:e46847. [PMID: 37728977 PMCID: PMC10551780 DOI: 10.2196/46847] [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: 04/24/2023] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Electronic health record (EHR)-integrated digital personal health records (PHRs) via Fast Healthcare Interoperability Resources (FHIR) are promising digital health tools to support care coordination (CC) for children and youth with special health care needs but remain widely unadopted; as their adoption grows, mixed methods and implementation research could guide real-world implementation and evaluation. OBJECTIVE This study (1) evaluates the feasibility of an FHIR-enabled digital PHR app for CC for children and youth with special health care needs, (2) characterizes determinants of implementation, and (3) explores associations between adoption and patient- or family-reported outcomes. METHODS This nonrandomized, single-arm, prospective feasibility trial will test an FHIR-enabled digital PHR app's use among families of children and youth with special health care needs in primary care settings. Key app features are FHIR-enabled access to structured data from the child's medical record, families' abilities to longitudinally track patient- or family-centered care goals, and sharing progress toward care goals with the child's primary care provider via a clinician dashboard. We shall enroll 40 parents or caregivers of children and youth with special health care needs to use the app for 6 months. Inclusion criteria for children and youth with special health care needs are age 0-16 years; primary care at a participating site; complex needs benefiting from CC; high hospitalization risk in the next 6 months; English speaking; having requisite technology at home (internet access, Apple iOS mobile device); and an active web-based EHR patient portal account to which a parent or caregiver has full proxy access. Digital prescriptions will be used to disseminate study recruitment materials directly to eligible participants via their existing EHR patient portal accounts. We will apply an intervention mixed methods design to link quantitative and qualitative (semistructured interviews and family engagement panels with parents of children and youth with special health care needs) data and characterize implementation determinants. Two CC frameworks (Pediatric Care Coordination Framework; Patient-Centered Medical Home) and 2 evaluation frameworks (Consolidated Framework for Implementation Research; Technology Acceptance Model) provide theoretical foundations for this study. RESULTS Participant recruitment began in fall 2022, before which we identified >300 potentially eligible patients in EHR data. A family engagement panel in fall 2021 generated formative feedback from family partners. Integrated analysis of pretrial quantitative and qualitative data informed family-centered enhancements to study procedures. CONCLUSIONS Our findings will inform how to integrate an FHIR-enabled digital PHR app for children and youth with special health care needs into clinical care. Mixed methods and implementation research will help strengthen implementation in diverse clinical settings. The study is positioned to advance knowledge of how to use digital health innovations for improving care and outcomes for children and youth with special health care needs and their families. TRIAL REGISTRATION ClinicalTrials.gov NCT05513235; https://clinicaltrials.gov/study/NCT05513235. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/46847.
Collapse
Affiliation(s)
- David Y Ming
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, United States
- Department of Medicine, Duke University School of Medicine, Durham, NC, United States
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Willis Wong
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, United States
| | - Kelley A Jones
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Richard C Antonelli
- Department of Pediatrics, Boston Children's Hospital, Harvard School of Medicine, Boston, MA, United States
| | - Nitin Gujral
- Innovation and Digital Health Accelerator, Boston Children's Hospital, Boston, MA, United States
| | - Sarah Gonzales
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Ursula Rogers
- AI Health, Duke University School of Medicine, Durham, NC, United States
| | - William Ratliff
- Duke Institute for Health Innovation, Duke University School of Medicine, Durham, NC, United States
| | - Nirmish Shah
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, United States
- Department of Medicine, Duke University School of Medicine, Durham, NC, United States
| | - Heather A King
- Department of Medicine, Duke University School of Medicine, Durham, NC, United States
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veteran Affairs Health Care System, Durham, NC, United States
| |
Collapse
|
6
|
van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, Reed SD, Pavlova M, Wharton G, Mossialos E. Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review. J Med Internet Res 2023; 25:e48000. [PMID: 37490322 PMCID: PMC10410406 DOI: 10.2196/48000] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/31/2023] [Accepted: 06/16/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Digital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products. OBJECTIVE In this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals. METHODS A scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis. RESULTS We identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure. CONCLUSIONS The map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics.
Collapse
Affiliation(s)
- Robin van Kessel
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Department of International Health, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Andres Roman-Urrestarazu
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Michael Anderson
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Ilias Kyriopoulos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Samantha Field
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Giovanni Monti
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Shelby D Reed
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States
| | - Milena Pavlova
- Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health Medicine and Life Science, Maastricht University, Maastricht, Netherlands
| | - George Wharton
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Elias Mossialos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
| |
Collapse
|
7
|
Ogunsanya ME, Sifat M, Bamidele OO, Ezenwankwo EF, Clifton S, Ton C, Knight JM, Odedina FT, Greer JA, Dwyer K, Kendzor DE. Mobile health (mHealth) interventions in prostate cancer survivorship: a scoping review. J Cancer Surviv 2023; 17:557-568. [PMID: 36627464 DOI: 10.1007/s11764-022-01328-3] [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: 08/02/2022] [Accepted: 12/27/2022] [Indexed: 01/12/2023]
Abstract
PURPOSE This scoping review explores the application of mHealth technology in prostate cancer (CaP) management along the survivorship continuum. METHODS The scoping review was conducted using the five-step framework developed by Arksey and O'Malley. Using predefined criteria, we screened citations from Embase, EBSCOHost, Cochrane Library, PubMed, ProQuest, SCOPUS, and Web of Science for primary studies published before December 2021. We selected studies that explored the application of mHealth technology in CaP management and survivorship. Evidence from 14 eligible studies was summarized using narrative synthesis. RESULTS Fourteen studies published between 2015 and 2021 were included. Ten mHealth apps were identified with only one still in use. Most apps were explored for their supportive care roles during radiotherapy (n = 9) and androgen deprivation therapy (ADT) (n = 1) treatment, mainly to assess outcomes (n = 1) and manage patient-reported symptoms (n = 5). One study deployed mHealth to facilitate recovery after surgery. Very few studies (n = 3) applied mHealth for lifestyle management (i.e., physical activity). Barriers to app usage included connectivity issues, end-user familiarity with the app, login hurdles, and time constraints. Facilitators of app usage included apps being downloaded for participants, devices provided for participants, and the ability to connect with providers through the platform. CONCLUSIONS AND IMPLICATIONS FOR CANCER SURVIVORS The improving survival rates from CaP suggest that men are now living longer with unfavorable treatment side effects such as reduced sexual functioning, pain, and fatigue. Hence, mHealth represents new hope in men's illness trajectory. However, current application in patients' care pathways remains poor, particularly in the active phase of CaP management. Efforts must be accelerated to explore individual and healthcare-level drivers of mHealth use. The feasibility and descriptive nature of current studies point to a lack of attention to actual implementation and scale-up issues in research considering mHealth application in CaP, hence accounting partly for the gap in research/practice.
Collapse
Affiliation(s)
- Motolani E Ogunsanya
- College of Pharmacy, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, USA.
| | - Munjireen Sifat
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, USA
| | - Olufikayo O Bamidele
- Hull York Medical School, University of Hull, Cottingham Road, Hull, HU6 7RX, UK
| | | | - Shari Clifton
- Health Sciences Library & Information Management, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Chelsea Ton
- College of Pharmacy, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jennifer M Knight
- Departments of Psychiatry, Medicine, and Microbiology & Immunology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Folakemi T Odedina
- Center for Health Equity & Community Engagement Research, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Joseph A Greer
- Center for Psychiatric Oncology & Behavioral Sciences, Massachusetts General Hospital, Boston, MA, USA
| | - Kathleen Dwyer
- College of Nursing, University of Oklahoma, Oklahoma City, OK, USA
| | - Darla E Kendzor
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, USA
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| |
Collapse
|
8
|
Jaworski BK, Webb Hooper M, Aklin WM, Jean-Francois B, Elwood WN, Belis D, Riley WT, Hunter CM. Advancing digital health Equity: Directions for behavioral and social science research. Transl Behav Med 2022; 13:132-139. [PMID: 36318232 DOI: 10.1093/tbm/ibac088] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Abstract
The field of digital health is evolving rapidly and encompasses a wide range of complex and changing technologies used to support individual and population health. The COVID-19 pandemic has augmented digital health expansion and significantly changed how digital health technologies are used. To ensure that these technologies do not create or exacerbate existing health disparities, a multi-pronged and comprehensive research approach is needed. In this commentary, we outline five recommendations for behavioral and social science researchers that are critical to promoting digital health equity. These recommendations include: (i) centering equity in research teams and theoretical approaches, (ii) focusing on issues of digital health literacy and engagement, (iii) using methods that elevate perspectives and needs of underserved populations, (iv) ensuring ethical approaches for collecting and using digital health data, and (v) developing strategies for integrating digital health tools within and across systems and settings. Taken together, these recommendations can help advance the science of digital health equity and justice.
Collapse
Affiliation(s)
- Beth K Jaworski
- Office of Behavioral and Social Sciences Research, National Institutes of Health , Bethesda, MD , USA
| | - Monica Webb Hooper
- National Institute on Minority Health and Health Disparities, National Institutes of Health , Bethesda, MD , USA
| | - Will M Aklin
- National Institute on Drug Abuse, National Institutes of Health , Bethesda, MD , USA
| | - Beda Jean-Francois
- National Center for Complementary and Integrative Health, National Institutes of Health , Bethesda, MD , USA
| | - William N Elwood
- Office of Behavioral and Social Sciences Research, National Institutes of Health , Bethesda, MD , USA
| | - Deshirée Belis
- Office of Behavioral and Social Sciences Research, National Institutes of Health , Bethesda, MD , USA
| | - William T Riley
- Office of Behavioral and Social Sciences Research, National Institutes of Health , Bethesda, MD , USA
| | - Christine M Hunter
- Office of Behavioral and Social Sciences Research, National Institutes of Health , Bethesda, MD , USA
| |
Collapse
|
9
|
Wienert J, Jahnel T, Maaß L. What are Digital Public Health Interventions? First Steps Toward a Definition and an Intervention Classification Framework. J Med Internet Res 2022; 24:e31921. [PMID: 35763320 PMCID: PMC9277526 DOI: 10.2196/31921] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 01/04/2022] [Accepted: 01/04/2022] [Indexed: 01/23/2023] Open
Abstract
Digital public health is an emerging field in population-based research and practice. The fast development of digital technologies provides a fundamentally new understanding of improving public health by using digitalization, especially in prevention and health promotion. The first step toward a better understanding of digital public health is to conceptualize the subject of the assessment by defining what digital public health interventions are. This is important, as one cannot evaluate tools if one does not know what precisely an intervention in this field can be. Therefore, this study aims to provide the first definition of digital public health interventions. We will merge leading models for public health functions by the World Health Organization, a framework for digital health technologies by the National Institute for Health and Care Excellence, and a user-centered approach to intervention development. Together, they provide an overview of the functions and areas of use for digital public health interventions. Nevertheless, one must keep in mind that public health functions can differ among different health care systems, limiting our new framework’s universal validity. We conclude that a digital public health intervention should address essential public health functions through digital means. Furthermore, it should include members of the target group in the development process to improve social acceptance and achieve a population health impact.
Collapse
Affiliation(s)
- Julian Wienert
- Research Cluster Evaluation, Leibniz ScienceCampus Bremen Digital Public Health, Bremen, Germany.,Social Epidemiology, Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.,Health Psychology, Social Sciences, IU International University for Applied Sciences, Bad Reichenhall, Germany
| | - Tina Jahnel
- Research Cluster Evaluation, Leibniz ScienceCampus Bremen Digital Public Health, Bremen, Germany.,Department of Health Services Research, Institute for Public Health and Nursing, University of Bremen, Bremen, Germany
| | - Laura Maaß
- Research Cluster Evaluation, Leibniz ScienceCampus Bremen Digital Public Health, Bremen, Germany.,Health, Long-Term Care and Pensions, Research Center on Inequality and Social Policy (SOCIUM), Bremen, Germany
| |
Collapse
|
10
|
Espinoza JC, Chin SW, Shah P, Tut M, Raymond JK. Proposing a Practical, Simplified Framework for Implementing Integrated Diabetes Data and Technology Solutions. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:867284. [PMID: 36992736 PMCID: PMC10012144 DOI: 10.3389/fcdhc.2022.867284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/01/2022] [Indexed: 11/13/2022]
Abstract
Diabetes is a uniquely quantifiable disease, and as technology and data have proliferated over the past two decades, so have the tools to manage diabetes. Patients and providers have at their disposal devices, applications, and data platforms that generate immense amounts of data, provide critical insights into a patient’s disease, and allow for personalization of treatment plans. However, the proliferation of options also comes with new burdens for providers: selecting the right tool, getting buy-in from leadership, defining the business case, implementation, and maintenance of the new technology. The complexity of these steps can be overwhelming and sometimes lead to inaction, depriving providers and patients of the advantages of technology-assisted diabetes care. Conceptually, the adoption of digital health solutions can be thought of as occurring in five interconnected phases: Needs Assessment, Solution Identification, Integration, Implementation, and Evaluation. There are a number of existing frameworks to help guide much of this process, but relatively little attention has been focused on integration. Integration is a critical phase for a number of contractual, compliance, financial, and technical processes. Missing a step or doing them out of order can lead to significant delays and potentially wasted resources. To address this gap, we have developed a practical, simplified framework for integrating diabetes data and technology solutions that can guide clinicians and clinical leaders on the critical steps in adopting and implementing a new technology.
Collapse
Affiliation(s)
- Juan C. Espinoza
- Division of General Pediatrics, Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, CA, United States
- Translational Informatics, Information Services Department, Children’s Hospital Los Angeles, Los Angeles, CA, United States
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- *Correspondence: Juan C. Espinoza,
| | - Steven W. Chin
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Division of Neonatology, Department of Pediatrics, Fetal and Neonatal Institute, Children’s Hospital Los Angeles, Los Angeles, CA, United States
| | - Payal Shah
- Division of General Pediatrics, Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, CA, United States
| | - Maurice Tut
- Translational Informatics, Information Services Department, Children’s Hospital Los Angeles, Los Angeles, CA, United States
| | - Jennifer K. Raymond
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Division of Endocrinology, Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, CA, United States
| |
Collapse
|
11
|
Busse TS, Kernebeck S, Dreier LA, Meyer D, Zenz D, Haas P, Zernikow B, Ehlers JP. Planning for Implementation Success of an Electronic Cross-Facility Health Record for Pediatric Palliative Care Using the Consolidated Framework for Implementation Research (CFIR). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19010453. [PMID: 35010713 PMCID: PMC8744647 DOI: 10.3390/ijerph19010453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/29/2021] [Accepted: 12/30/2021] [Indexed: 02/04/2023]
Abstract
Pediatric palliative care (PPC) patients require years of care across professions and sectors. Sharing treatment-related information and communicating among different PPC professionals is critical to ensure good quality of care. In Germany, this communication is mostly paper-based and prone to errors. Therefore, an electronic cross-facility health record (ECHR) was participatorily designed with users, wherein information can be shared and PPC professionals can communicate with each other. As this form of electronic health record differs from existing models in Germany, there is a need for successful implementation to ensure a positive impact. Therefore, the facilitators and barriers to the implementation of ECHR in PPC were examined. Using the consolidated framework for implementation research (CFIR), transcripts of 32 interviews, 3 focus groups, and 20 think-aloud studies with PPC professionals were analyzed. CFIR indicated that the ECHR-design was viewed positively by users and can be a facilitator for implementation. Barriers exist, mainly due to the fact that the implementation is not planned, the use of the ECHR involves effort, costs are not covered, and all users must be motivated to use the ECHR for functionality. CFIR helps uncover the crux of the issues that need to be considered when planning ECHR implementation to improve care in PPC.
Collapse
Affiliation(s)
- Theresa Sophie Busse
- Department of Didactics and Educational Research in Health Science, Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany; (S.K.); (J.P.E.)
- Correspondence:
| | - Sven Kernebeck
- Department of Didactics and Educational Research in Health Science, Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany; (S.K.); (J.P.E.)
| | - Larissa Alice Dreier
- PedScience Research Institute, 45711 Datteln, Germany; (L.A.D.); (D.M.); (B.Z.)
- Department of Children’s Pain Therapy and Pediatric Palliative Care, Faculty of Health, Witten/Herdecke University, 58448 Witten, Germany
| | - Dorothee Meyer
- PedScience Research Institute, 45711 Datteln, Germany; (L.A.D.); (D.M.); (B.Z.)
- Department of Children’s Pain Therapy and Pediatric Palliative Care, Faculty of Health, Witten/Herdecke University, 58448 Witten, Germany
| | - Daniel Zenz
- Smart-Q Softwaresystems GmbH, 44801 Bochum, Germany;
| | - Peter Haas
- Department of Medical Informatics, Dortmund University of Applied Sciences and Arts, 44139 Dortmund, Germany;
| | - Boris Zernikow
- PedScience Research Institute, 45711 Datteln, Germany; (L.A.D.); (D.M.); (B.Z.)
- Department of Children’s Pain Therapy and Pediatric Palliative Care, Faculty of Health, Witten/Herdecke University, 58448 Witten, Germany
- Pediatric Palliative Care Centre, Children’s and Adolescents’ Hospital, 45711 Datteln, Germany
| | - Jan Peter Ehlers
- Department of Didactics and Educational Research in Health Science, Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany; (S.K.); (J.P.E.)
| |
Collapse
|