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Grant V, Litchfield I. Acceptability of community health worker and peer supported interventions for ethnic minorities with type 2 diabetes: a qualitative systematic review. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2024; 5:1306199. [PMID: 38836261 PMCID: PMC11148349 DOI: 10.3389/fcdhc.2024.1306199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/26/2024] [Indexed: 06/06/2024]
Abstract
Objective Ethnic minority groups in high income countries in North America, Europe, and elsewhere are disproportionately affected by T2DM with a higher risk of mortality and morbidity. The use of community health workers and peer supporters offer a way of ensuring the benefits of self-management support observed in the general population are shared by those in minoritized communities. Materials and methods The major databases were searched for existing qualitative evidence of participants' experiences and perspectives of self-management support for type 2 diabetes delivered by community health workers and peer supporters (CHWPs) in ethnically minoritized populations. The data were analysed using Sekhon's Theoretical Framework of Acceptability. Results The results are described within five domains of the framework of acceptability collapsed from seven for reasons of clarity and concision: Affective attitude described participants' satisfaction with CHWPs delivering the intervention including the open, trusting relationships that developed in contrast to those with clinical providers. In considering Burden and Opportunity Costs, participants reflected on the impact of health, transport, and the responsibilities of work and childcare on their attendance, alongside a lack of resources necessary to maintain healthy diets and active lifestyles. In relation to Cultural Sensitivity participants appreciated the greater understanding of the specific cultural needs and challenges exhibited by CHWPs. The evidence related to Intervention Coherence indicated that participants responded positively to the practical and applied content, the range of teaching materials, and interactive practical sessions. Finally, in examining the impact of Effectiveness and Self-efficacy participants described how they changed a range of health-related behaviours, had more confidence in dealing with their condition and interacting with senior clinicians and benefitted from the social support of fellow participants and CHWPs. Conclusion Many of the same barriers around attendance and engagement with usual self-management support interventions delivered to general populations were observed, including lack of time and resource. However, the insight of CHWPs, their culturally-sensitive and specific strategies for self-management and their development of trusting relationships presented considerable advantages.
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Affiliation(s)
- Vivene Grant
- Birmingham Medical School, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Ian Litchfield
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
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Rioles N, March C, Muñoz CE, Ilkowitz J, Ohmer A, Wolf RM. Stakeholder Engagement in Type 1 Diabetes Research, Quality Improvement, and Clinical Care. Endocrinol Metab Clin North Am 2024; 53:165-182. [PMID: 38272594 DOI: 10.1016/j.ecl.2023.09.007] [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: 01/27/2024]
Abstract
The integration of stakeholder engagement (SE) in research, quality improvement (QI), and clinical care has gained significant traction. Type 1 diabetes is a chronic disease that requires complex daily management and care from a multidisciplinary team across the lifespan. Inclusion of key stakeholder voices, including patients, caregivers, health care providers and community advocates, in the research process and implementation of clinical care is critical to ensure representation of perspectives that match the values and goals of the patient population. This review describes the current framework for SE and its application to research, QI, and clinical care across the lifespan.
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Affiliation(s)
| | - Christine March
- Division of Pediatric Endocrinology and Diabetes, University of Pittsburgh, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Cynthia E Muñoz
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeniece Ilkowitz
- Pediatric Diabetes Center, NYU Langone Health, New York, NY, USA
| | - Amy Ohmer
- International Children's Advisory Network, Atlanta, GA, USA
| | - Risa M Wolf
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Bonet-Olivencia S, Carrillo-Leal J, Rao A, Sasangohar F. User-Centered Design of a Diabetes Self-Management Tool for Underserved Populations. J Diabetes Sci Technol 2024; 18:22-29. [PMID: 37978811 PMCID: PMC10899832 DOI: 10.1177/19322968231212220] [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] [Indexed: 11/19/2023]
Abstract
BACKGROUND User-centered design (UCD) or user experience design (UXD) methods have gained recent popularity for the design of mobile health (mHealth) interventions. However, there is a gap in application of these methods for diabetes self-management. This study aims to document the UCD process for a self-management mobile application aimed for patients with diabetes in underserved communities. METHODS A UCD mixed-methods approach including interviews with patients and providers, a review of literature, and a technology landscape analysis were used to define the app functional information requirements that informed the user experience/user interface design process. Usability studies with the app designers and developers, intended users, and a focus group of nurse educators and dieticians were used to test and improve the design. RESULTS An mHealth app was developed with health-tracking features for stress, blood sugar, food, exercise, medications, weight, and blood pressure. We tackled a range of usability and user experience challenges, which encompassed addressing issues like low health literacy by employing a combination of user interface design principles, intuitive visualizations, customizable icons, seamless database integration, and automated data input features. Special attention was given to the design of educational content accounting for the intended users' cultural background and literacy levels. CONCLUSIONS User-centered design approach contributed to a better understanding of the intended users' needs, limitations, mental models, and expectations, facilitating the design of a comprehensive mobile app for patients with diabetes in underserved communities that includes essential features for self-management while providing a strong educational component, addressing an important gap in the literature.
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Affiliation(s)
- Samuel Bonet-Olivencia
- Department of Industrial and Systems
Engineering, Texas A&M University, College Station, TX, USA
| | - Jesus Carrillo-Leal
- Department of Industrial and Systems
Engineering, Texas A&M University, College Station, TX, USA
| | - Arjun Rao
- Department of Industrial and Systems
Engineering, Texas A&M University, College Station, TX, USA
| | - Farzan Sasangohar
- Department of Industrial and Systems
Engineering, Texas A&M University, College Station, TX, USA
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Zhou J, Dang W, Luo Z, Fan X, Shi H, Deng N, Xiong G. Telenursing needs and influencing factors in patients with type 2 diabetes mellitus: A cross-sectional study. J Clin Nurs 2023; 32:7298-7309. [PMID: 37337624 DOI: 10.1111/jocn.16805] [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: 01/27/2023] [Revised: 06/06/2023] [Accepted: 06/07/2023] [Indexed: 06/21/2023]
Abstract
AIMS AND OBJECTIVES This study aimed to determine the relationship between the demand for telenursing and the chronic illness resources available to patients with type 2 diabetes mellitus (T2DM), as well as the factors that affect this requirement. DESIGN Cross-sectional. METHODS This study included 586 participants with T2DM. A telenursing needs questionnaire developed by the research team was used to assess the telenursing needs of patients with T2DM, and the Chinese version of the Chronic Illness Resources Survey was used to assess the participants' community chronic disease resources. A one-way ANOVA and multiple regression analysis were used to determine the factors influencing the demand for telenursing and to estimate the relationship between chronic illness resources and the need for telenursing. The STROBE checklist was followed. RESULTS The patients' telenursing needs, ranked from high to low, are as follows: individualized skills and safety; basic disease care; psychological and spiritual needs; respect and social support; and high-level health management. The chronic disease resource score was 3.47 ± .02, which suggested that patients with T2DM have relatively rich disease resources. Multiple regression analyses showed that resources for chronic diseases, the course of diabetes and complications, family income and other chronic diseases accounted for 79.6% of the variance in T2DM patients' telenursing needs. CONCLUSIONS The telenursing needs of patients with T2DM are prominent, and primarily focus on basic nursing needs for the disease. To some extent, chronic disease resources affect the telenursing needs of patients with T2DM. RELEVANCE TO CLINICAL PRACTICE It is crucial to pay attention to research on telenursing for T2DM patients from the patients' perspective. Enhancing resources for chronic diseases may help meet the telenursing needs of T2DM patients. PATIENT OR PUBLIC CONTRIBUTION Parents and diabetes management specialists participated in designing the telenursing needs questionnaire.
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Affiliation(s)
- Jian Zhou
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Wantai Dang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Zongting Luo
- Department of Nursing, The Third People's Hospital of Chengdu & The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Xinxin Fan
- School of nursing, Chengdu Medical College, Chengdu, China
| | - Hui Shi
- Department of Nursing, Chengdu Seventh People's Hospital, Chengdu, China
| | - Na Deng
- Department of Nursing, Chengdu Seventh People's Hospital, Chengdu, China
| | - Guizhi Xiong
- Department of Nursing, Bazhong Central Hospital, Bazhong, China
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Litchfield I, Barrett T, Hamilton-Shield J, Moore T, Narendran P, Redwood S, Searle A, Uday S, Wheeler J, Greenfield S. Current evidence for designing self-management support for underserved populations: an integrative review using the example of diabetes. Int J Equity Health 2023; 22:188. [PMID: 37697302 PMCID: PMC10496394 DOI: 10.1186/s12939-023-01976-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 07/26/2023] [Indexed: 09/13/2023] Open
Abstract
AIMS With numerous and continuing attempts at adapting diabetes self-management support programmes to better account for underserved populations, its important that the lessons being learned are understood and shared. The work we present here reviews the latest evidence and best practice in designing and embedding culturally and socially sensitive, self-management support programmes. METHODS We explored the literature with regard to four key design considerations of diabetes self-management support programmes: Composition - the design and content of written materials and digital tools and interfaces; Structure - the combination of individual and group sessions, their frequency, and the overall duration of programmes; Facilitators - the combination of individuals used to deliver the programme; and Context - the influence and mitigation of a range of individual, socio-cultural, and environmental factors. RESULTS We found useful and recent examples of design innovation within a variety of countries and models of health care delivery including Brazil, Mexico, Netherlands, Spain, United Kingdom, and United States of America. Within Composition we confirmed the importance of retaining best practice in creating readily understood written information and intuitive digital interfaces; Structure the need to offer group, individual, and remote learning options in programmes of flexible duration and frequency; Facilitators where the benefits of using culturally concordant peers and community-based providers were described; and finally in Context the need to integrate self-management support programmes within existing health systems, and tailor their various constituent elements according to the language, resources, and beliefs of individuals and their communities. CONCLUSIONS A number of design principles across the four design considerations were identified that together offer a promising means of creating the next generation of self-management support programme more readily accessible for underserved communities. Ultimately, we recommend that the precise configuration should be co-produced by all relevant service and patient stakeholders and its delivery embedded in local health systems.
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Affiliation(s)
- Ian Litchfield
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
| | - Tim Barrett
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK
- Diabetes and Endocrinology, Birmingham Women's and Children's Hospital, Birmingham, B4 6NH, UK
| | - Julian Hamilton-Shield
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS1 2NT, UK
- The Royal Hospital for Children in Bristol, Bristol, BS2 8BJ, UK
- NIHR Bristol BRC Nutrition Theme, University Hospitals Bristol and Weston Foundation Trust, Bristol, B52 8AE, UK
| | - Theresa Moore
- The National Institute for Health and Care Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS1 1TH, B52 8EA, UK
| | - Parth Narendran
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, B15 2TT, UK
- Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
| | - Sabi Redwood
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS1 1TH, B52 8EA, UK
| | - Aidan Searle
- NIHR Bristol BRC Nutrition Theme, University Hospitals Bristol and Weston Foundation Trust, Bristol, B52 8AE, UK
| | - Suma Uday
- Diabetes and Endocrinology, Birmingham Women's and Children's Hospital, Birmingham, B4 6NH, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Jess Wheeler
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS1 1TH, B52 8EA, UK
| | - Sheila Greenfield
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
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Asan O, Choi E, Wang X. Artificial Intelligence-Based Consumer Health Informatics Application: Scoping Review. J Med Internet Res 2023; 25:e47260. [PMID: 37647122 PMCID: PMC10500367 DOI: 10.2196/47260] [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: 03/13/2023] [Revised: 07/02/2023] [Accepted: 07/18/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND There is no doubt that the recent surge in artificial intelligence (AI) research will change the trajectory of next-generation health care, making it more approachable and accessible to patients. Therefore, it is critical to research patient perceptions and outcomes because this trend will allow patients to be the primary consumers of health technology and decision makers for their own health. OBJECTIVE This study aimed to review and analyze papers on AI-based consumer health informatics (CHI) for successful future patient-centered care. METHODS We searched for all peer-reviewed papers in PubMed published in English before July 2022. Research on an AI-based CHI tool or system that reports patient outcomes or perceptions was identified for the scoping review. RESULTS We identified 20 papers that met our inclusion criteria. The eligible studies were summarized and discussed with respect to the role of the AI-based CHI system, patient outcomes, and patient perceptions. The AI-based CHI systems identified included systems in mobile health (13/20, 65%), robotics (5/20, 25%), and telemedicine (2/20, 10%). All the systems aimed to provide patients with personalized health care. Patient outcomes and perceptions across various clinical disciplines were discussed, demonstrating the potential of an AI-based CHI system to benefit patients. CONCLUSIONS This scoping review showed the trend in AI-based CHI systems and their impact on patient outcomes as well as patients' perceptions of these systems. Future studies should also explore how clinicians and health care professionals perceive these consumer-based systems and integrate them into the overall workflow.
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Affiliation(s)
- Onur Asan
- School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, United States
| | - Euiji Choi
- Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, United States
| | - Xiaomei Wang
- Department of Industrial Engieering, University of Louisville, Louisville, KY, United States
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