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Wang D, Zhu J, Xie X, Martin-Payo R, Xu L, Zhang F. Trends and hotspots of design thinking in nursing research: A bibliometric analysis. J Prof Nurs 2025; 58:51-60. [PMID: 40368496 DOI: 10.1016/j.profnurs.2025.02.005] [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: 07/31/2024] [Revised: 02/14/2025] [Accepted: 02/14/2025] [Indexed: 05/16/2025]
Abstract
BACKGROUND The increasing research on design thinking in nursing underscores its potential to improve patient care and optimize healthcare systems. However, a comprehensive bibliometric analysis of this emerging field is still lacking. PURPOSE This study aims to provide a thorough overview of existing research on design thinking in nursing using bibliometric indicators to examine trends and draw insights. METHODS VOSviewer was used to conduct a bibliometric analysis, providing insights into the characteristics of the academic literature on design thinking in nursing. This study analyzed the literature from the inception of the database until March 20, 2024, using sources from the Web of Science Core Collection and the Cumulative Index to Nursing and Allied Health Literature database. RESULTS The results reveal a substantial increase in research on design thinking in nursing, with 264 publications contributed by 1477 authors representing 634 organizations across 47 countries. These articles were published across 190 journals and referenced 10,093 sources from 5153 journals. The United States led in search contributions with 117 publications, while Stanford University stood out as the most prolific institution, averaging 40.3 citations per publication, highlighting its significant influence in the field. The study primarily explores broad themes in nursing, emphasizing key areas such as human-centered design, digital health, telemedicine, artificial intelligence (AI), education, innovation, and quality improvement. These findings reflect the increasing recognition of design thinking as a vital approach to enhancing nursing practice and education. CONCLUSION This study highlights the growing global focus on design thinking in nursing, with Western regions emerging as key contributors to research in the field. The recognition of key areas, including human-centered design, digital health, telemedicine, AI, education, innovation, implementation science, and quality improvement, underscores the need for nursing to advance its design thinking approaches. The results emphasize the importance of nursing educators and practitioners adopting and integrating design thinking principles, as this approach can significantly improve educational outcomes and patient care.
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Affiliation(s)
- Dongyu Wang
- Inner Mongolia Minzu University, School of Nursing, Tongliao, Inner Mongolia, China.
| | - Jiayi Zhu
- West China School of Nursing/Nursing Key Laboratory of Sichuan Province/Innovation Center of Nursing Research/West China Hospital, Sichuan University, Chengdu, China.
| | - Xiaofeng Xie
- West China School of Nursing/Nursing Key Laboratory of Sichuan Province/Innovation Center of Nursing Research/West China Hospital, Sichuan University, Chengdu, China.
| | | | | | - Fengying Zhang
- West China School of Nursing/Nursing Key Laboratory of Sichuan Province/Innovation Center of Nursing Research/West China Hospital, Sichuan University, Chengdu, China.
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Ogata AF, Kramer J. A Patient-Centered Approach in Sensor Science: Embracing Patient Engagement for Translational Clinical Technologies. ACS Sens 2025; 10:1521-1537. [PMID: 40105476 DOI: 10.1021/acssensors.4c03292] [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: 03/20/2025]
Abstract
With the goal of impacting patient quality of life and outcomes, sensor science offers significant potential to revolutionize healthcare by providing advances in the detection of molecular biomarkers for personalized clinical technologies. The sensor community has achieved significant technical advancements that can impact diagnostics, health monitoring, and disease treatment; however, many sensor innovations remain confined to the laboratory, failing to bridge the translational gap between research and real-world clinical applications. This perspective presents a new direction for the sensor community, where sensor development centers on the needs and experiences of the primary beneficiaries: the patients. We provide guidelines and resources for researchers to engage with patients early and continuously throughout the research process to inform sensor specifications and better align sensor technologies with real-world clinical needs, improving their adoption and impact. We also present examples for implementing a patient-centered approach in sensor development and planning for patient engagement in sensor research. In the design of impactful sensors for patients, researchers must expand focus beyond technical specifications to embrace a patient-centered approach, which will likely lead to new opportunities for collaboration and evolution in the sensor science community.
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Affiliation(s)
- Alana F Ogata
- Department of Chemistry, Department of Chemical and Physical Sciences, University of Toronto, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, Ontario L5L 1C6, Canada
| | - Julia Kramer
- Department of Mechanical Engineering, University of Michigan, 2350 Hayward Street, Ann Arbor, Michigan 48109, United States
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Zheng P, De Marchis E, Yeager J, Del Rosario K, Nagao M, Belaye T, Gallegos-Castillo A, Fung LC, Vallejo A, Kuang A, Gendelberg D, Lotz J, O’Neill C. Empowering Self-Management for Chronic Low Back Pain: A Human-Centered Design Study of Spanish- and Cantonese-Preferring Patients in the United States. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.27.24314504. [PMID: 39677457 PMCID: PMC11643171 DOI: 10.1101/2024.09.27.24314504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/17/2024]
Abstract
Introduction Chronic low back pain (cLBP) is a leading cause of disability with disproportionately high impacts on marginalized populations, including non-English-preferring patients. These patients face significant barriers to accessing care and adhering to self-management strategies due to language barriers, socioeconomic challenges, and cultural differences. Despite the emphasis on self-management for cLBP, limited research has focused on understanding the specific needs and preferences of Spanish- and Cantonese-preferring patients. Objective This study aimed to explore the self-management priorities of Spanish- and Cantonese-preferring patients with cLBP. Using a human-centered design approach, we sought to identify patient preferences for self-management support materials and strategies that could be tailored to their unique needs. Design Qualitative research using thematic analysis of focus groups conducted in participants' preferred language. Setting Urban, academic-affiliated county hospital between March and May 2024. Patients Spanish- and Cantonese-preferring patients with cLBP. Interventions Not applicable. Main outcome Key themes in participants' experiences with cLBP care, barriers to self-management, and preferences for educational materials. Results Fifteen patients participated across six focus groups (three focus group in each language). Four primary themes emerged from the focus groups: (1) the need for empathic, tailored educational supports that fit into patients' lives, (2) a desire for self-management plans that account for social and economic constraints, (3) recognition of mental health and social isolation as factors that influence cLBP experience, and (4) a need for clearer guidance on self-management strategies and trustworthy resources. Both Spanish- and Cantonese-preferring participants expressed a preference for video-based resources, plain-language materials, and support for understanding the causes and management of their pain. Conclusion Spanish- and Cantonese-preferring patients with cLBP face significant barriers to self-management and would benefit from culturally and linguistically appropriate resources. This study highlights the need for healthcare systems to develop and deliver tailored, accessible self-management support materials that address the unique challenges faced by minoritized populations. Human-centered design offers a promising approach to reducing disparities in cLBP outcomes by creating patient-driven solutions that prioritize empathy, practicality, and cultural relevance.
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Affiliation(s)
- Patricia Zheng
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Emilia De Marchis
- Department of Family Medicine, University of California, San Francisco
| | - Jan Yeager
- Clinical Innovation Center, University of California, San Francisco
| | - Karina Del Rosario
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Masato Nagao
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Tigist Belaye
- Department of Orthopaedic Surgery, University of California, San Francisco
| | | | - Lei-Chun Fung
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Adrian Vallejo
- School of Medicine, University of California, San Francisco
| | - Amy Kuang
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - David Gendelberg
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Jeffrey Lotz
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Conor O’Neill
- Department of Orthopaedic Surgery, University of California, San Francisco
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Feldacker C, Klabbers RE, Huwa J, Kiruthu-Kamamia C, Thawani A, Tembo P, Chintedza J, Chiwaya G, Kudzala A, Bisani P, Ndhlovu D, Seyani J, Tweya H. The effect of proactive, interactive, two-way texting on 12-month retention in antiretroviral therapy: Findings from a quasi-experimental study in Lilongwe, Malawi. PLoS One 2024; 19:e0298494. [PMID: 39208237 PMCID: PMC11361596 DOI: 10.1371/journal.pone.0298494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 07/15/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Retaining clients on antiretroviral therapy (ART) is challenging, especially during the first year on ART. Mobile health (mHealth) interventions show promise to close retention gaps. We aimed to assess reach (who received the intervention?) and effectiveness (did it work?) of a hybrid two-way texting (2wT) intervention to improve ART retention at a large public clinic in Lilongwe, Malawi. METHODS Between August 2021-June 2023, in a quasi-experimental study, outcomes were compared between two cohorts of new ART clients: 1) those opting into 2wT who received automated, weekly motivation short messaging service (SMS) messages and response-requested appointment reminders; and 2) a matched historical cohort receiving standard of care (SoC). Reach was defined as "the proportion clients ≤6 months of ART initiation eligible for 2wT". 2wT effectiveness was assessed in time-to-event analysis. Retention was presented in a Kaplan-Meier plot and compared between 2wT and SoC using a log-rank test. The effect of 2wT on ART dropout (lost to follow-up or stopped ART) was estimated using Fine-Gray competing risk regression models, adjusting for sex, age and WHO HIV stage at ART initiation. RESULTS Of 1,146 clients screened, 501 were eligible for 2wT, a reach of 44%. Lack of phone (393/645; 61%) and illiteracy (149/645; 23%) were the most common ineligibility reasons. Among 468 participants exposed to 2wT, 12-month probability of ART retention was 91% (95% CI: 88% - 94%) compared to 76% (95% CI: 72% - 80%) among 468 SoC participants (p<0.001). Compared to SoC, 2wT participants had a 65% lower hazard of ART dropout at any timepoint (sub-distribution hazard ratio 0.35, 95% CI: 0.24-0.51; p<0.001). CONCLUSIONS 2wT did not reach all clients. For those who opted-in, 2wT significantly increased 12-month ART retention. Expansion of 2wT as a complement to other retention interventions should be considered in other low-resource, routine ART settings.
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Affiliation(s)
- Caryl Feldacker
- Department of Global Health, University of Washington, Seattle, WA, United States of America
- International Training and Education Center for Health (I-TECH), Seattle, WA, United States of America
| | - Robin E. Klabbers
- Department of Global Health, University of Washington, Seattle, WA, United States of America
- Department of Emergency Medicine, University of Washington, Seattle, WA, United States of America
| | | | - Christine Kiruthu-Kamamia
- International Training and Education Center for Health (I-TECH), Seattle, WA, United States of America
- Lighthouse Trust, Lilongwe, Malawi
| | | | | | | | | | | | | | | | | | - Hannock Tweya
- Department of Global Health, University of Washington, Seattle, WA, United States of America
- International Training and Education Center for Health (I-TECH), Seattle, WA, United States of America
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Keogh A, Argent R, Doherty C, Duignan C, Fennelly O, Purcell C, Johnston W, Caulfield B. Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology-Lessons Learned from 10 Years of Research. SENSORS (BASEL, SWITZERLAND) 2024; 24:3780. [PMID: 38931564 PMCID: PMC11207951 DOI: 10.3390/s24123780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/06/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024]
Abstract
Healthcare is undergoing a fundamental shift in which digital health tools are becoming ubiquitous, with the promise of improved outcomes, reduced costs, and greater efficiency. Healthcare professionals, patients, and the wider public are faced with a paradox of choice regarding technologies across multiple domains. Research is continuing to look for methods and tools to further revolutionise all aspects of health from prediction, diagnosis, treatment, and monitoring. However, despite its promise, the reality of implementing digital health tools in practice, and the scalability of innovations, remains stunted. Digital health is approaching a crossroads where we need to shift our focus away from simply looking at developing new innovations to seriously considering how we overcome the barriers that currently limit its impact. This paper summarises over 10 years of digital health experiences from a group of researchers with backgrounds in physical therapy-in order to highlight and discuss some of these key lessons-in the areas of validity, patient and public involvement, privacy, reimbursement, and interoperability. Practical learnings from this collective experience across patient cohorts are leveraged to propose a list of recommendations to enable researchers to bridge the gap between the development and implementation of digital health tools.
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Affiliation(s)
- Alison Keogh
- Clinical Medicine, School of Medicine, Trinity College Dublin, Tallaght University Hospital, D24 TP66 Dublin, Ireland;
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
| | - Rob Argent
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine & Health Sciences, D02 YN77 Dublin, Ireland
| | - Cailbhe Doherty
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Ciara Duignan
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
| | - Orna Fennelly
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
| | - Ciaran Purcell
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
- School of Allied Health, University of Limerick, V94 T9PX Limerick, Ireland
| | - William Johnston
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
| | - Brian Caulfield
- Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland; (R.A.); (C.D.); (O.F.); (C.P.); (W.J.); (B.C.)
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
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Spaulding EM, Isakadze N, Molello N, Khoury SR, Gao Y, Young L, Antonsdottir IM, Azizi Z, Dorsch MP, Golbus JR, Ciminelli A, Brant LCC, Himmelfarb CR, Coresh J, Marvel FA, Longenecker CT, Commodore-Mensah Y, Gilotra NA, Sandhu A, Nallamothu B, Martin SS. Use of Human-Centered Design Methodology to Develop a Digital Toolkit to Optimize Heart Failure Guideline-Directed Medical Therapy. J Cardiovasc Nurs 2024; 39:245-254. [PMID: 37855732 PMCID: PMC11026295 DOI: 10.1097/jcn.0000000000001051] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
BACKGROUND Guideline-directed medical therapies (GDMTs) improve quality of life and health outcomes for patients with heart failure (HF). However, GDMT utilization is suboptimal among patients with HF. OBJECTIVE The aims of this study were to engage key stakeholders in semistructured, virtual human-centered design sessions to identify challenges in GDMT optimization posthospitalization and inform the development of a digital toolkit aimed at optimizing HF GDMTs. METHODS For the human-centered design sessions, we recruited ( a ) clinicians who care for patients with HF across 3 hospital systems, ( b ) patients with HF with reduced ejection fraction (ejection fraction ≤ 40%) discharged from the hospital within 30 days of enrollment, and ( c ) caregivers. All participants were 18 years or older, English speaking, with Internet access. RESULTS A total of 10 clinicians (median age, 37 years [interquartile range, 35-41], 12 years [interquartile range, 10-14] of experience caring for patients with HF, 80% women, 50% White, 50% nurse practitioners) and three patients and one caregiver (median age 57 years [IQR: 53-60], 75% men, 50% Black, 75% married) were included. Five themes emerged from the clinician sessions on challenges to GDMT optimization (eg, barriers to patient buy-in). Six themes on challenges (eg, managing medications), 4 themes on motivators (eg, regaining independence), and 3 themes on facilitators (eg, social support) to HF management arose from the patient and caregiver sessions. CONCLUSIONS The clinician, patient, and caregiver insights identified through human-centered design will inform a digital toolkit aimed at optimizing HF GDMTs, including a patient-facing smartphone application and clinician dashboard. This digital toolkit will be evaluated in a multicenter, clinical trial.
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Affiliation(s)
- Erin M. Spaulding
- Johns Hopkins University School of Nursing, Baltimore, MD, US
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Nino Isakadze
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Nancy Molello
- Center for Health Equity, Johns Hopkins University, Baltimore, MD, US
| | - Shireen R. Khoury
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Yumin Gao
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Lisa Young
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | | | - Zahra Azizi
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, US
- Center for Digital Health, Stanford University, Stanford, CA, US
| | | | - Jessica R. Golbus
- Division of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, MI, US
- Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, MI, US
- The Center for Clinical Management and Research, Ann Arbor VA Medical Center, MI, US
| | - Ana Ciminelli
- Faculdade de Medicina & Centro de Telessaúde do Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Luisa C. C. Brant
- Faculdade de Medicina & Centro de Telessaúde do Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Cheryl R. Himmelfarb
- Johns Hopkins University School of Nursing, Baltimore, MD, US
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
| | - Francoise A. Marvel
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
| | - Chris T. Longenecker
- Division of Cardiology and Department of Global Health, University of Washington, Seattle, WA, US
| | - Yvonne Commodore-Mensah
- Johns Hopkins University School of Nursing, Baltimore, MD, US
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Center for Health Equity, Johns Hopkins University, Baltimore, MD, US
| | | | - Alexander Sandhu
- Center for Health Equity, Johns Hopkins University, Baltimore, MD, US
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, US
| | - Brahmajee Nallamothu
- Division of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, MI, US
- Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, MI, US
- The Center for Clinical Management and Research, Ann Arbor VA Medical Center, MI, US
| | - Seth S. Martin
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US
- Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, US
- Johns Hopkins University School of Medicine, Baltimore, MD, US
- Center for Health Equity, Johns Hopkins University, Baltimore, MD, US
- Johns Hopkins University Whiting School of Engineering, Baltimore, MD, US
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Keogh A, Brennan C, Johnston W, Dickson J, Leslie SJ, Burke D, Megyesi P, Caulfield B. Six-Month Pilot Testing of a Digital Health Tool to Support Effective Self-Care in People With Heart Failure: Mixed Methods Study. JMIR Form Res 2024; 8:e52442. [PMID: 38427410 PMCID: PMC10959238 DOI: 10.2196/52442] [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: 09/04/2023] [Revised: 10/26/2023] [Accepted: 11/22/2023] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Digital tools may support people to self-manage their heart failure (HF). Having previously outlined the human-centered design development of a digital tool to support self-care of HF, the next step was to pilot the tool over a period of time to establish people's acceptance of it in practice. OBJECTIVE This study aims to conduct an observational pilot study to examine the usability, adherence, and feasibility of a digital health tool for HF within the Irish health care system. METHODS A total of 19 participants with HF were provided with a digital tool comprising a mobile app and the Fitbit Charge 4 and Aria Air smart scales for a period of 6 months. Changes to their self-care were assessed before and after the study with the 9-item European HF Self-care Behavior Scale (EHFScBS) and the Minnesota Living with HF Questionnaire (MLwHFQ) using a Wilcoxon signed rank test. After the study, 3 usability questionnaires were implemented and descriptively analyzed: the System Usability Scale (SUS), Wearable Technology Motivation Scale (WTMS), and Comfort Rating Scale (CRS). Participants also undertook a semistructured interview regarding their experiences with the digital tool. Interviews were analyzed deductively using the Theoretical Domains Framework. RESULTS Participants wore their devices for an average of 86.2% of the days in the 6-month testing period ranging from 40.6% to 98%. Although improvements in the EHFScBS and MLwHFQ were seen, these changes were not significant (P=.10 and P=.70, respectively, where P>.03, after a Bonferroni correction). SUS results suggest that the usability of this system was not acceptable with a median score of 58.8 (IQR 55.0-60.0; range 45.0-67.5). Participants demonstrated a strong motivation to use the system according to the WTMS (median 6.0, IQR 5.0-7.0; range 1.0-7.0), whereas the Fitbit was considered very comfortable as demonstrated by the low CRS results (median 0.0, IQR 0.0-0.0; range 0.0-2.0). According to participant interviews, the digital tool supported self-management through increased knowledge, improved awareness, decision-making, and confidence in their own data, and improving their social support through a feeling of comfort in being watched. CONCLUSIONS The digital health tool demonstrated high levels of adherence and acceptance among participants. Although the SUS results suggest low usability, this may be explained by participants uncertainty that they were using it fully, rather than it being unusable, especially given the experiences documented in their interviews. The digital tool targeted key self-management behaviors and feelings of social support. However, a number of changes to the tool, and the health service, are required before it can be implemented at scale. A full-scale feasibility trial conducted at a wider level is required to fully determine its potential effectiveness and wider implementation needs.
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Affiliation(s)
- Alison Keogh
- Insight Centre Data Analytics, University College Dublin, Dublin, Ireland
- School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Carol Brennan
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - William Johnston
- Insight Centre Data Analytics, University College Dublin, Dublin, Ireland
| | - Jane Dickson
- Physiotherapy Department, Beacon Hospital, Dublin, Ireland
- Cardiology, Beacon Hospital, Dublin, Ireland
| | | | - David Burke
- Cardiology, Beacon Hospital, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Peter Megyesi
- Insight Centre Data Analytics, University College Dublin, Dublin, Ireland
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Brian Caulfield
- Insight Centre Data Analytics, University College Dublin, Dublin, Ireland
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
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Feldacker C, Klabbers RE, Huwa J, Kiruthu-Kamamia C, Thawani A, Tembo P, Chintedza J, Chiwaya G, Kudzala A, Bisani P, Ndhlovu D, Seyani J, Tweya H. The effect of proactive, interactive, two-way texting on 12-month retention in antiretroviral therapy: findings from a quasi-experimental study in Lilongwe, Malawi. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.26.24301855. [PMID: 38352345 PMCID: PMC10863037 DOI: 10.1101/2024.01.26.24301855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
Background Retaining clients on antiretroviral therapy (ART) is challenging especially during the first year on ART. Mobile health (mHealth) interventions show promise to close retention gaps. We aimed to assess reach (who received the intervention?) and effectiveness (did it work?) of a hybrid two-way texting (2wT) intervention to improve ART retention at a large public clinic in Lilongwe, Malawi. Methods Between August 2021 - June 2023, a quasi-experimental study compared outcomes between two cohorts of new ART clients: 1) those opting into 2wT with combined automated, weekly motivation short messaging service (SMS) messages and response-requested appointment reminders; and 2) a matched historical cohort receiving standard of care (SoC). Reach was defined as "the proportion clients ≤6 months of ART initiation eligible for 2wT". 2wT effectiveness was assessed in time-to-event analysis comparing Kaplan-Meier plots of 6- and 12-month retention between 2wT and SoC using a log-rank test. The effect of 2wT on ART drop out was estimated using multivariable Cox proportional hazard models, adjusting for sex, age and WHO stage at ART initiation. Results Of the 1,146 clients screened, 645 were ineligible (56%) largely due to lack of phone access (393/645; 61%) and illiteracy (149/645; 23%): a reach of 44%. Among 468 2wT participants, the 12-month probability of ART retention was 91% (95%CI: 88% - 93%) compared to 75% (95%CI: 71% - 79%) among 468 SoC participants (p<0.0001). Compared to SoC participants, 2wT participants had a 62% lower hazard of dropping out of ART care at all time points (hazard ratio 0.38, 95% CI: 0.26-0.54; p<0.001). Conclusions Not all clients were reached with 2wT. For those who opted-in, 2wT reduced drop out throughout the first year on ART and significantly increased 12-month retention. The proactive 2wT approach should be expanded as a complement to other interventions in routine, low-resource settings to improve ART retention.
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Affiliation(s)
- Caryl Feldacker
- Department of Global Health, University of Washington, Seattle, WA, USA
- International Training and Education Center for Health (I-TECH), Seattle, WA, USA
| | - Robin E. Klabbers
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Emergency Medicine, University of Washington, Seattle, WA, USA
| | | | - Christine Kiruthu-Kamamia
- International Training and Education Center for Health (I-TECH), Seattle, WA, USA
- Lighthouse Trust, Lilongwe, Malawi
| | | | | | | | | | | | | | | | | | - Hannock Tweya
- Department of Global Health, University of Washington, Seattle, WA, USA
- International Training and Education Center for Health (I-TECH), Seattle, WA, USA
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Grannell A, Hallson H, Gunlaugsson B, Jonsson H. Exercise therapy as a digital therapeutic for chronic disease management: consideration for clinical product development. Front Digit Health 2023; 5:1250979. [PMID: 38173910 PMCID: PMC10761443 DOI: 10.3389/fdgth.2023.1250979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024] Open
Abstract
Digital exercise therapies (DET) have the potential to bridge existing care gaps for people living with chronic conditions. Acting as either a standalone, embedded within multi-modal lifestyle therapy, or adjunct to pharmacotherapy or surgery, evidence-based DETs can favorably impact the health of a rapidly growing population. Given the nascent nature of digital therapeutics, the regulatory landscape has yet to mature. As such, in the absence of clear guidelines clinical digital product developers are responsible for ensuring the DET adheres to fundamental principles such as patient risk management and clinical effectiveness. The purpose of this narrative review paper is to discuss key considerations for clinical digital product developers who are striving to build novel digital therapeutic (DTx) solutions and thus contribute towards standardization of product development. We herein draw upon DET as an example, highlighting the need for adherence to existing clinical guidelines, human-centered design and an intervention approach that leverages the Chronic Care Model. Specific topics and recommendations related to the development of innovative and scalable products are discussed which ultimately allow for differentiation from a basic wellness tool and integration to clinical workflows. By embodying a code of ethics, clinical digital product developers can adequately address patients' needs and optimize their own future digital health technology assessments including appropriate evidence of safety and efficacy.
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Affiliation(s)
- Andrew Grannell
- Sidekick Health, Research & Development Unit, Kópavogur, Iceland
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Isakadze N, Molello N, MacFarlane Z, Gao Y, Spaulding EM, Commodore Mensah Y, Marvel FA, Khoury S, Marine JE, Michos ED, Spragg D, Berger RD, Calkins H, Cooper LA, Martin SS. The Virtual Inclusive Digital Health Intervention Design to Promote Health Equity (iDesign) Framework for Atrial Fibrillation: Co-design and Development Study. JMIR Hum Factors 2022; 9:e38048. [DOI: 10.2196/38048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/28/2022] [Accepted: 08/02/2022] [Indexed: 11/05/2022] Open
Abstract
Background
Smartphone ownership and mobile app use are steadily increasing in individuals of diverse racial and ethnic backgrounds living in the United States. Growing adoption of technology creates a perfect opportunity for digital health interventions to increase access to health care. To successfully implement digital health interventions and engage users, intervention development should be guided by user input, which is best achieved by the process of co-design. Digital health interventions co-designed with the active engagement of users have the potential to increase the uptake of guideline recommendations, which can reduce morbidity and mortality and advance health equity.
Objective
We aimed to co-design a digital health intervention for patients with atrial fibrillation, the most common cardiac arrhythmia, with patient, caregiver, and clinician feedback and to describe our approach to human-centered design for building digital health interventions.
Methods
We conducted virtual meetings with patients with atrial fibrillation (n=8), their caregivers, and clinicians (n=8). We used the following 7 steps in our co-design process: step 1, a virtual meeting focused on defining challenges and empathizing with problems that are faced in daily life by individuals with atrial fibrillation and clinicians; step 2, a virtual meeting focused on ideation and brainstorming the top challenges identified during the first meeting; step 3, individualized onboarding of patients with an existing minimally viable version of the atrial fibrillation app; step 4, virtual prototyping of the top 3 ideas generated during ideation; step 5, further ranking by the study investigators and engineers of the ideas that were generated during ideation but were not chosen as top-3 solutions to be prototyped in step 4; step 6, ongoing engineering work to incorporate top-priority features in the app; and step 7, obtaining further feedback from patients and testing the atrial fibrillation digital health intervention in a pilot clinical study.
Results
The top challenges identified by patients and caregivers included addressing risk factor modification, medication adherence, and guidance during atrial fibrillation episodes. Challenges identified by clinicians were complementary and included patient education, addressing modifiable atrial fibrillation risk factors, and remote atrial fibrillation episode management. Patients brainstormed more than 30 ideas to address the top challenges, and the clinicians generated more than 20 ideas. Ranking of the ideas informed several novel or modified features aligned with the Theory of Health Behavior Change, features that were geared toward risk factor modification; patient education; rhythm, symptom, and trigger correlation for remote atrial fibrillation management; and social support.
Conclusions
We co-designed an atrial fibrillation digital health intervention in partnership with patients, caregivers, and clinicians by virtually engaging in collaborative creation through the design process. We summarize our experience and describe a flexible approach to human-centered design for digital health intervention development that can guide innovative clinical investigators.
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Son YJ, Kim EY. The effectiveness and usability of a novel mobile phone-based self-care intervention for patients with heart failure: A mixed-methods pilot study. Eur J Cardiovasc Nurs 2022; 22:254-263. [PMID: 35997293 DOI: 10.1093/eurjcn/zvac077] [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: 04/26/2022] [Revised: 08/16/2022] [Accepted: 08/19/2022] [Indexed: 11/12/2022]
Abstract
AIM To evaluate the preliminary effectiveness and usability of a novel mobile phone-based self-care intervention (named WithUs) for patients with heart failure (HF). METHODS AND RESULTS We conducted a mixed-methods pilot study with group pretest-posttest design and usability testing. Participants were 26 Korean HF patients (20 men; median age 62 years) who took part in this study after hospital discharge. Data were collected at baseline and after the 24-week intervention, using questionnaires and interviews. The outcome variables were eHealth literacy, disease knowledge, and self-care behaviours. The Wilcoxon signed-rank test was used to compare the pre- and post-intervention results. Thematic analysis was used for analysing qualitative data. The WithUs programme improved the eHealth literacy (p = .005), disease knowledge (p < .001), and self-care behaviours (p < .001) of patients with HF. The median score of total app usability was 4.1 out of 5 (interquartile range = 4.0-5.0). Four themes were identified which complemented the quantitative results. These were increased awareness of the importance of routine self-care behaviours, enhanced motivation toward self-care behaviours, challenges adapting to the new app, and suggestions for improving app adoption. CONCLUSION The app was effective in improving adherence to self-care behaviours, eHealth literacy, and disease knowledge in patients with HF. The usability evaluation results showed that the app is usable and has the potential to support HF patients in self-care. However, the app needs to be modified to improve its adoption.
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Affiliation(s)
- Youn Jung Son
- Red Cross College of Nursing, Chung-Ang University, Seoul, South Korea
| | - Eun Young Kim
- Soonchunhyang University, Cheonan, South Korea, Dongnamgu, Soonchunhyang 6Gil 31
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