1
|
Wang Y, Wu Z, Duan L, Liu S, Chen R, Sun T, Wang J, Zhou J, Wang H, Huang P. Digital exclusion and cognitive impairment in older people: findings from five longitudinal studies. BMC Geriatr 2024; 24:406. [PMID: 38714939 PMCID: PMC11077883 DOI: 10.1186/s12877-024-05026-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVES Older people are more likely to have digital exclusion, which is associated with poor health. This study investigated the relationship between digital exclusion and cognitive impairment in older adults from 23 countries across five longitudinal surveys. DESIGN AND MEASUREMENTS Digital exclusion is defined as self-reported non-use of the Internet. We assessed cognitive impairment on three dimensions: orientation, memory, and executive function. We used generalized estimation equations fitting binary logistic regression with exchangeable correlations to study the relationship between digital exclusion and cognitive impairment, and apply the minimum sufficiently adjusted set of causally directed acyclic graphs as the adjusted variable. SETTING AND PARTICIPANTS We pooled a nationally representative sample of older adults from five longitudinal studies, including the China Health and Retirement Longitudinal study (CHARLS), the English Longitudinal Study of Ageing (ELSA), the Health and Retirement Study (HRS), the Mexican Health and Ageing Study (MHAS) and the Survey of Health, Ageing and Retirement in European (SHARE). RESULTS We included 62,413 participants from five longitudinal studies. Digital exclusion varied by country, ranging from 21.69% (SHARE) in Denmark to 97.15% (CHARLS) in China. In the original model, digital exclusion was significantly associated with cognitive impairment in all five studies. In the adjusted model, these associations remained statistically significant: CHARLS (Odds ratio [OR] = 2.81, 95% confidence interval [CI] 1.84-4.28, ELSA (1.92 [1.70-2.18]), HRS(2.48[2.28-2.71), MHAS (1.92 [1.74-2.12]), and SHARE (2.60 [2.34-2.88]). CONCLUSION Our research shows that a significant proportion of older people suffer from digital exclusion, especially in China. Digital exclusion was positively correlated with cognitive impairment. These findings suggest that digital inclusion could be an important strategy to improve cognitive function and reduce the risk of cognitive impairment in older adults.
Collapse
Affiliation(s)
- Yuge Wang
- College of Nursing, Wenzhou Medical University, Wenzhou, China
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Zhigang Wu
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Lanzhi Duan
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Sijia Liu
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Ruzhao Chen
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Tao Sun
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Jiang Wang
- Center for Clinical Medicine Research of Jinggangshan University, Affiliated Hospital of Jinggangshan University, Ji'an, China
- Department of Medicine, JingGangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, JingGangshan Univesity, Ji'an, China
| | - Jianghua Zhou
- Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hongxia Wang
- Department of Nursing, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
| | - Pan Huang
- College of Nursing, Wenzhou Medical University, Wenzhou, China.
| |
Collapse
|
2
|
Buss VH, Barr M, Parker SM, Kabir A, Lau AYS, Liaw ST, Stocks N, Harris MF. Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study. JMIR Mhealth Uhealth 2024; 12:e45942. [PMID: 38335014 PMCID: PMC10891495 DOI: 10.2196/45942] [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: 01/22/2023] [Revised: 08/21/2023] [Accepted: 12/19/2023] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND The Health eLiteracy for Prevention in General Practice trial is a primary health care-based behavior change intervention for weight loss in Australians who are overweight and those with obesity from lower socioeconomic areas. Individuals from these areas are known to have low levels of health literacy and are particularly at risk for chronic conditions, including diabetes and cardiovascular disease. The intervention comprised health check visits with a practice nurse, a purpose-built patient-facing mobile app (mysnapp), and a referral to telephone coaching. OBJECTIVE This study aimed to assess mysnapp app use, its user profiles, the duration and frequency of use within the Health eLiteracy for Prevention in General Practice trial, its association with other intervention components, and its association with study outcomes (health literacy and diet) to determine whether they have significantly improved at 6 months. METHODS In 2018, a total of 22 general practices from 2 Australian states were recruited and randomized by cluster to the intervention or usual care. Patients who met the main eligibility criteria (ie, BMI>28 in the previous 12 months and aged 40-74 years) were identified through the clinical software. The practice staff then provided the patients with details about this study. The intervention consisted of a health check with a practice nurse and a lifestyle app, a telephone coaching program, or both depending on the participants' choice. Data were collected directly through the app and combined with data from the 6-week health check with the practice nurses, the telephone coaching, and the participants' questionnaires at baseline and 6-month follow-up. The analyses comprised descriptive and inferential statistics. RESULTS Of the 120 participants who received the intervention, 62 (52%) chose to use the app. The app and nonapp user groups did not differ significantly in demographics or prior recent hospital admissions. The median time between first and last app use was 52 (IQR 4-95) days, with a median of 5 (IQR 2-10) active days. App users were significantly more likely to attend the 6-week health check (2-sided Fisher exact test; P<.001) and participate in the telephone coaching (2-sided Fisher exact test; P=.007) than nonapp users. There was no association between app use and study outcomes shown to have significantly improved (health literacy and diet) at 6 months. CONCLUSIONS Recruitment and engagement were difficult for this study in disadvantaged populations with low health literacy. However, app users were more likely to attend the 6-week health check and participate in telephone coaching, suggesting that participants who opted for several intervention components felt more committed to this study. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12617001508369; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373505. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2018-023239.
Collapse
Affiliation(s)
- Vera Helen Buss
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
| | - Margo Barr
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
| | - Sharon M Parker
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
| | - Alamgir Kabir
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
| | - Annie Y S Lau
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Siaw-Teng Liaw
- School of Population Health, University of New South Wales, Sydney, Australia
| | - Nigel Stocks
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Mark F Harris
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
| |
Collapse
|
3
|
Lu X, Yao Y, Jin Y. Digital exclusion and functional dependence in older people: Findings from five longitudinal cohort studies. EClinicalMedicine 2022; 54:101708. [PMID: 36353265 PMCID: PMC9637559 DOI: 10.1016/j.eclinm.2022.101708] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/07/2022] Open
Abstract
Background Older people are more likely to be excluded from the digital world, and this has been linked to poor health outcomes. The extent and direction of the influence of digital exclusion on functional dependency is, however, not well understood. We aimed to investigate the association between digital exclusion and functional dependency among older adults from high-income countries (HICs) and low- and middle-income countries (LMICs). Methods In this multicohort study, we pooled individual-level data from five longitudinal cohort studies that included nationally representative samples of older adults across 23 countries, including the Health and Retirement Study (HRS), the English Longitudinal Study of Aging (ELSA), the Survey of Health, Ageing and Retirement in Europe (SHARE), the China Health and Retirement Longitudinal Study (CHARLS), and the Mexican Health and Aging Study (MHAS). The digital exclusion was recorded as an absence from internet use by self-reported. We assessed basic activities of daily living (BADL) and instrumental activities of daily living (IADL), and we used interval-of-need methods to categorize the functional dependency. We applied generalized estimating equations models fitting Poisson model to investigate the association of digital exclusion with difficulties in BADL or IADL and functional dependency, adjusting for the causal-directed-acyclic-graph (DAG) minimal sufficient adjustment set (MSAS), including gender, age level, labour force status, education, household wealth level, marital status, and co-residence with children. Findings We included 108,621 participants recruited between 2010 and 2018 with a median follow-up of 3 phrases. Digital exclusion in older adults varied across countries, ranging from 23.8% in Denmark (SHARE) to 96.9% in China (CHARLS). According to the crude model, digital exclusion was significantly associated with functional dependency. In the MSAS-adjusted model, those associations remained statistically significant: HRS (incidence rate ratio [IRR] = 1.40, 95% confidence interval [CI] 1.34-1.48 for BADL; 1.71 [1.61-1.82] for IADL), ELSA (1.31 [1.22-1.40] in BADL and 1.37 [1.28-1.46] in IADL), SHARE (1.69 [1.61-1.78] in BADL and 1.70 [1.63-1.78] in IADL), CHARLS (2.15 [1.73-2.67] in BADL and 2.59 [2.06-3.25] in IADL), and MHAS (1.15 [1.09-1.21] in BADL and 1.17 [1.09-1.25] in IADL). In the subgroup analyses, the associations were more pronounced in the oldest-old (aged ≥ 80 years old). Interpretation There is a substantial proportion of older adults who are excluded from the Internet, especially those in LMIC. Older people excluded from the Internet regardless of whether they live in HICs or LMICs are more likely to develop functional dependency. It should be made a priority to remove barriers to Internet access in order to assist older people in maintaining their independence and, consequently, to reduce the care burden associated with the ageing population worldwide. Funding The National Natural Science Foundation of China (No. 71904004).
Collapse
Affiliation(s)
- Xinran Lu
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yinzi Jin
- Department of Global Health, School of Public Health, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
| |
Collapse
|
4
|
Smits M, Kim CM, van Goor H, Ludden GDS. From Digital Health to Digital Well-being: Systematic Scoping Review. J Med Internet Res 2022; 24:e33787. [PMID: 35377328 PMCID: PMC9016508 DOI: 10.2196/33787] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/27/2022] [Accepted: 02/20/2022] [Indexed: 12/14/2022] Open
Abstract
Background Digital health refers to the proper use of technology for improving the health and well-being of people and enhancing the care of patients through the intelligent processing of clinical and genetic data. Despite increasing interest in well-being in both health care and technology, there is no clear understanding of what constitutes well-being, which leads to uncertainty in how to create well-being through digital health. In an effort to clarify this uncertainty, Brey developed a framework to define problems in technology for well-being using the following four categories: epistemological problem, scope problem, specification problem, and aggregation problem. Objective This systematic scoping review aims to gain insights into how to define and address well-being in digital health. Methods We followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. Papers were identified from 6 databases and included if they addressed the design or evaluation of digital health and reported the enhancement of patient well-being as their purpose. These papers were divided into design and evaluation papers. We studied how the 4 problems in technology for well-being are considered per paper. Results A total of 117 studies were eligible for analysis (n=46, 39.3% design papers and n=71, 60.7% evaluation papers). For the epistemological problem, the thematic analysis resulted in various definitions of well-being, which were grouped into the following seven values: healthy body, functional me, healthy mind, happy me, social me, self-managing me, and external conditions. Design papers mostly considered well-being as healthy body and self-managing me, whereas evaluation papers considered the values of healthy mind and happy me. Users were rarely involved in defining well-being. For the scope problem, patients with chronic care needs were commonly considered as the main users. Design papers also regularly involved other users, such as caregivers and relatives. These users were often not involved in evaluation papers. For the specification problem, most design and evaluation papers focused on the provision of care support through a digital platform. Design papers used numerous design methods, whereas evaluation papers mostly considered pre-post measurements and randomized controlled trials. For the aggregation problem, value conflicts were rarely described. Conclusions Current practice has found pragmatic ways of circumventing or dealing with the problems of digital health for well-being. Major differences exist between the design and evaluation of digital health, particularly regarding their conceptualization of well-being and the types of users studied. In addition, we found that current methodologies for designing and evaluating digital health can be improved. For optimal digital health for well-being, multidisciplinary collaborations that move beyond the common dichotomy of design and evaluation are needed.
Collapse
Affiliation(s)
- Merlijn Smits
- Department of Surgery, Radboud University Medical Center, Nijmegen, Netherlands
| | - Chan Mi Kim
- Department of Design, Production, and Management, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands
| | - Harry van Goor
- Department of Surgery, Radboud University Medical Center, Nijmegen, Netherlands
| | - Geke D S Ludden
- Department of Design, Production, and Management, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands
| |
Collapse
|
5
|
Truong M, Fenton SH. Understanding the Current Landscape of Direct-to-Consumer Health Literacy Interventions. PERSPECTIVES IN HEALTH INFORMATION MANAGEMENT 2022; 19:1e. [PMID: 35692847 PMCID: PMC9123524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
|
6
|
Demiris G, Iribarren SJ, Sward K, Lee S, Yang R. Patient generated health data use in clinical practice: A systematic review. Nurs Outlook 2019; 67:311-330. [PMID: 31277895 PMCID: PMC6697140 DOI: 10.1016/j.outlook.2019.04.005] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 04/17/2019] [Accepted: 04/24/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND Precision health calls for collecting and analyzing large amounts of data to capture an individual's unique behavior, lifestyle, genetics, and environmental context. The diffusion of digital tools has led to a significant growth of patient generated health data (PGHD), defined as health-related data created, gathered or inferred by or from patients and for which the patient controls data collection and data sharing. PURPOSE We assessed the current evidence of the impact of PGHD use in clinical practice and provide recommendations for the formal integration of PGHD in clinical care. METHODS We searched PubMed, Ovid, Embase, CINAHL, Web of Science, and Scopus up to May 2018. Inclusion criteria were applied and four reviewers screened titles and abstracts and consequently full articles. FINDINGS Our systematic literature review identified 21 studies that examined the use of PGHD in clinical settings. Integration of PGHD into electronic records was extremely limited, and decision support capabilities were for the most part basic. DISCUSSION PGHD and other types of patient-reported data will be part of the health care system narrative and we must continue efforts to understand its impact on health outcomes, costs, and patient satisfaction. Nursing scientists need to lead the process of defining the role of PGHD in the era of precision health.
Collapse
Affiliation(s)
- George Demiris
- School of Nursing, University of Pennsylvania, Philadelphia, PA.
| | | | | | - Solim Lee
- School of Nursing, University of Pennsylvania, Philadelphia, PA
| | - Rumei Yang
- College of Nursing, University of Utah, Salt Lake City, UT
| |
Collapse
|
7
|
Parker SM, Stocks N, Nutbeam D, Thomas L, Denney-Wilson E, Zwar N, Karnon J, Lloyd J, Noakes M, Liaw ST, Lau A, Osborne R, Harris MF. Preventing chronic disease in patients with low health literacy using eHealth and teamwork in primary healthcare: protocol for a cluster randomised controlled trial. BMJ Open 2018; 8:e023239. [PMID: 29866737 PMCID: PMC5988137 DOI: 10.1136/bmjopen-2018-023239] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 04/20/2018] [Accepted: 05/11/2018] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Adults with lower levels of health literacy are less likely to engage in health-promoting behaviours. Our trial evaluates the impacts and outcomes of a mobile health-enhanced preventive intervention in primary care for people who are overweight or obese. METHODS AND ANALYSIS A two-arm pragmatic practice-level cluster randomised trial will be conducted in 40 practices in low socioeconomic areas in Sydney and Adelaide, Australia. Forty patients aged 40-70 years with a body mass index ≥28 kg/m2 will be enrolled per practice. The HeLP-general practitioner (GP) intervention includes a practice-level quality improvement intervention (medical record audit and feedback, staff training and practice facilitation visits) to support practices to implement the clinical intervention for patients. The clinical intervention involves a health check visit with a practice nurse based on the 5As framework (assess, advise, agree, assist and arrange), the use of a purpose-built patient-facing app, my snapp, and referral for telephone coaching. The primary outcomes are change in health literacy, lifestyle behaviours, weight, waist circumference and blood pressure. The study will also evaluate changes in quality of life and health service use to determine the cost-effectiveness of the intervention and examine the experiences of practices in implementing the programme. ETHICS AND DISSEMINATION The study has been approved by the University of New South Wales (UNSW) Human Research Ethics Committee (HC17474) and ratified by the University of Adelaide Human Research Ethics committee. There are no restrictions on publication, and findings of the study will be made available to the public via the Centre for Primary Health Care and Equity website and through conference presentations and research publications. Deidentified data and meta-data will be stored in a repository at UNSW and made available subject to ethics committee approval. TRIAL REGISTRATIONREGISTRATION NUMBER ACTRN12617001508369; Pre-results.
Collapse
Affiliation(s)
- Sharon M Parker
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia
| | - Nigel Stocks
- Discipline of General Practice, University of Adelaide, Adelaide, South Australia, Australia
| | - Don Nutbeam
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Louise Thomas
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia
| | | | - Nicholas Zwar
- School of Medicine, University of Wollongong, Wollongong, New South Wales, Australia
| | - Jon Karnon
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Jane Lloyd
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia
| | - Manny Noakes
- Nutrition and Health Program, CSIRO Health and Biosecurity, Adelaide, South Australia, Australia
| | - Siaw-Teng Liaw
- School of Public Health and Community Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Annie Lau
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Richard Osborne
- School of Health and Social Development, Centre for Population Health Research, Faculty of Health, Deakin University, Melbourne, Victoria, Australia
| | - Mark F Harris
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia
| |
Collapse
|
8
|
Arguel A, Perez-Concha O, Li SYW, Lau AYS. Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review. J Eval Clin Pract 2018; 24:212-221. [PMID: 27709724 DOI: 10.1111/jep.12655] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Revised: 08/18/2016] [Accepted: 08/29/2016] [Indexed: 11/27/2022]
Abstract
RATIONAL, AIMS AND OBJECTIVES The aim of this review was to identify general theoretical frameworks used in online social network interventions for behavioral change. To address this research question, a PRISMA-compliant systematic review was conducted. METHODS A systematic review (PROSPERO registration number CRD42014007555) was conducted using 3 electronic databases (PsycINFO, Pubmed, and Embase). Four reviewers screened 1788 abstracts. RESULTS 15 studies were selected according to the eligibility criteria. Randomized controlled trials and controlled studies were assessed using Cochrane Collaboration's "risk-of-bias" tool, and narrative synthesis. Five eligible articles used the social cognitive theory as a framework to develop interventions targeting behavioral change. Other theoretical frameworks were related to the dynamics of social networks, intention models, and community engagement theories. Only one of the studies selected in the review mentioned a well-known theory from the field of health psychology. CONCLUSION Conclusions were that guidelines are lacking in the design of online social network interventions for behavioral change. Existing theories and models from health psychology that are traditionally used for in situ behavioral change should be considered when designing online social network interventions in a health care setting.
Collapse
Affiliation(s)
- Amaël Arguel
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,Department of Educational Studies, Macquarie University, Sydney, Australia
| | - Oscar Perez-Concha
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Simon Y W Li
- Department of Applied Psychology, Lingnan University, Tuen Mun, New Territories, Hong Kong
| | - Annie Y S Lau
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| |
Collapse
|
9
|
Fraccaro P, Vigo M, Balatsoukas P, Buchan IE, Peek N, van der Veer SN. The influence of patient portals on users' decision making is insufficiently investigated: A systematic methodological review. Int J Med Inform 2018; 111:100-111. [PMID: 29425621 DOI: 10.1016/j.ijmedinf.2017.12.028] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 10/25/2017] [Accepted: 12/30/2017] [Indexed: 12/26/2022]
Abstract
BACKGROUND Patient portals are considered valuable conduits for supporting patients' self-management. However, it is unknown why they often fail to impact on health care processes and outcomes. This may be due to a scarcity of robust studies focusing on the steps that are required to induce improvement: users need to effectively interact with the portal (step 1) in order to receive information (step 2), which might influence their decision-making (step 3). We aimed to explore this potential knowledge gap by investigating to what extent each step has been investigated for patient portals, and explore the methodological approaches used. METHODS We performed a systematic literature review using Coiera's information value chain as a guiding theoretical framework. We searched MEDLINE and Scopus by combining terms related to patient portals and evaluation methodologies. Two reviewers selected relevant papers through duplicate screening, and one extracted data from the included papers. RESULTS We included 115 articles. The large majority (n = 104) evaluated aspects related to interaction with patient portals (step 1). Usage was most often assessed (n = 61), mainly by analysing system interaction data (n = 50), with most authors considering participants as active users if they logged in at least once. Overall usability (n = 57) was commonly assessed through non-validated questionnaires (n = 44). Step 2 (information received) was investigated in 58 studies, primarily by analysing interaction data to evaluate usage of specific system functionalities (n = 34). Eleven studies explicitly assessed the influence of patient portals on patients' and clinicians' decisions (step 3). CONCLUSIONS Whereas interaction with patient portals has been extensively studied, their influence on users' decision-making remains under-investigated. Methodological approaches to evaluating usage and usability of portals showed room for improvement. To unlock the potential of patient portals, more (robust) research should focus on better understanding the complex process of how portals lead to improved health and care.
Collapse
Affiliation(s)
- Paolo Fraccaro
- Health eResearch Centre, Farr Institute of Health Informatics Research, UK; Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
| | - Markel Vigo
- School of Computer Science, University of Manchester, Manchester, UK
| | | | | | - Niels Peek
- Health eResearch Centre, Farr Institute of Health Informatics Research, UK; Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK; NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester, UK
| | - Sabine N van der Veer
- Health eResearch Centre, Farr Institute of Health Informatics Research, UK; Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| |
Collapse
|
10
|
Lau AY, Piper K, Bokor D, Martin P, Lau VS, Coiera E. Challenges During Implementation of a Patient-Facing Mobile App for Surgical Rehabilitation: Feasibility Study. JMIR Hum Factors 2017; 4:e31. [PMID: 29217504 PMCID: PMC5740262 DOI: 10.2196/humanfactors.8096] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 08/23/2017] [Accepted: 09/28/2017] [Indexed: 12/14/2022] Open
Abstract
Background Translating research into practice, especially the implementation of digital health technologies in routine care, is increasingly important. Yet, there are few studies examining the challenges of implementing patient-facing digital technologies in health care settings. Objective The aim of this study was to report challenges experienced when implementing mobile apps for patients to support their postsurgical rehabilitation in an orthopedic setting. Methods A mobile app was tailored to the needs of patients undergoing rotator cuff repair. A 30-min usability session and a 12-week feasibility study were conducted with patients to evaluate the app in routine care. Implementation records (observation reports, issues log, and email correspondence) explored factors that hindered or facilitated patient acceptance. Interviews with clinicians explored factors that influenced app integration in routine care. Results Participant completion was low (47%, 9/19). Factors that affected patient acceptance included digital literacy, health status, information technology (IT) infrastructure at home, privacy concerns, time limitations, the role of a caregiver, inconsistencies in instruction received from clinicians and the app, and app advice not reflective of patient progress over time. Factors that negatively influenced app integration in routine care included competing demands among clinicians, IT infrastructure in health care settings, identifying the right time to introduce the app to patients, user interface complexity for older patients, lack of coordination among multidisciplinary clinicians, and technical issues with app installation. Conclusions Three insights were identified for mobile app implementation in routine care: (1) apps for patients need to reflect their journey over time and in particular, postoperative apps ought to be introduced as part of preoperative care with opportunities for patients to learn and adopt the app during their postoperative journey; (2) strategies to address digital literacy issues among patients and clinicians are essential; and (3) impact of the app on patient outcomes and clinician workflow needs to be communicated, monitored, and reviewed. Lastly, digital health interventions should supplement but not replace patient interaction with clinicians.
Collapse
Affiliation(s)
- Annie Ys Lau
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Kalman Piper
- Department of Orthopaedic Surgery, Faculty of Medicine & Health Sciences, Macquarie University, Sydney, Australia
| | - Desmond Bokor
- Department of Orthopaedic Surgery, Faculty of Medicine & Health Sciences, Macquarie University, Sydney, Australia
| | - Paige Martin
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Victor Sl Lau
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Enrico Coiera
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| |
Collapse
|
11
|
Laranjo L, Lau AYS, Martin P, Tong HL, Coiera E. Use of a mobile social networking intervention for weight management: a mixed-methods study protocol. BMJ Open 2017; 7:e016665. [PMID: 28706104 PMCID: PMC5541629 DOI: 10.1136/bmjopen-2017-016665] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Obesity and physical inactivity are major societal challenges and significant contributors to the global burden of disease and healthcare costs. Information and communication technologies are increasingly being used in interventions to promote behaviour change in diet and physical activity. In particular, social networking platforms seem promising for the delivery of weight control interventions.We intend to pilot test an intervention involving the use of a social networking mobile application and tracking devices (Fitbit Flex 2 and Fitbit Aria scale) to promote the social comparison of weight and physical activity, in order to evaluate whether mechanisms of social influence lead to changes in those outcomes over the course of the study. METHODS AND ANALYSIS Mixed-methods study involving semi-structured interviews and a pre-post quasi-experimental pilot with one arm, where healthy participants in different body mass index (BMI) categories, aged between 19 and 35 years old, will be subjected to a social networking intervention over a 6-month period. The primary outcome is the average difference in weight before and after the intervention. Secondary outcomes include BMI, number of steps per day, engagement with the intervention, social support and system usability. Semi-structured interviews will assess participants' expectations and perceptions regarding the intervention. ETHICS AND DISSEMINATION Ethics approval was granted by Macquarie University's Human Research Ethics Committee for Medical Sciences on 3 November 2016 (ethics reference number 5201600716).The social network will be moderated by a researcher with clinical expertise, who will monitor and respond to concerns raised by participants. Monitoring will involve daily observation of measures collected by the fitness tracker and the wireless scale, as well as continuous supervision of forum interactions and posts. Additionally, a protocol is in place to monitor for participant misbehaviour and direct participants-in-need to appropriate sources of help.
Collapse
Affiliation(s)
- Liliana Laranjo
- Macquarie University, Australian Institute of Health Innovation-Centre for Health Informatics, Sydney, Australia
| | - Annie Y S Lau
- Macquarie University, Australian Institute of Health Innovation-Centre for Health Informatics, Sydney, Australia
| | - Paige Martin
- Macquarie University, Australian Institute of Health Innovation-Centre for Health Informatics, Sydney, Australia
| | - Huong Ly Tong
- Macquarie University, Australian Institute of Health Innovation-Centre for Health Informatics, Sydney, Australia
| | - Enrico Coiera
- Macquarie University, Australian Institute of Health Innovation-Centre for Health Informatics, Sydney, Australia
| |
Collapse
|
12
|
Thompson MJ, Reilly JD, Valdez RS. Work system barriers to patient, provider, and caregiver use of personal health records: A systematic review. APPLIED ERGONOMICS 2016; 54:218-242. [PMID: 26851482 DOI: 10.1016/j.apergo.2015.10.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 10/16/2015] [Accepted: 10/18/2015] [Indexed: 06/05/2023]
Abstract
OBJECTIVES This review applied a human factors/ergonomics (HF/E) paradigm to assess individual, work system/unit, organization, and external environment factors generating barriers to patient, provider, and informal caregiver personal health record (PHR) use. METHODS The literature search was conducted using five electronic databases for the timeframe January 2000 to October 2013, resulting in 4865 citations. Two authors independently coded included articles (n = 60). RESULTS Fifty-five, ten and five articles reported barriers to patient, provider and caregiver PHR use, respectively. Barriers centered around 20 subfactors. The most frequently noted were needs, biases, beliefs, and mood (n = 35) and technology functions and features (n = 32). CONCLUSIONS The HF/E paradigm was effective in framing the assessment of factors creating barriers to PHR use. Design efforts should address literacy, interoperability, access to health information, and secure messaging. A deeper understanding of the interactions between work systems and the role of organization and external environment factors is required.
Collapse
Affiliation(s)
- Morgan J Thompson
- Psychology Department, The College of William and Mary, Williamsburg, VA 23187, USA.
| | - Jeremiah D Reilly
- Department of Public Health Sciences, University of Virginia, P.O. Box 800717, Hospital West Complex, Charlottesville, VA 22908, USA.
| | - Rupa S Valdez
- Department of Public Health Sciences, University of Virginia, P.O. Box 800717, Hospital West Complex, Charlottesville, VA 22908, USA.
| |
Collapse
|
13
|
Lau AYS, Arguel A, Dennis S, Liaw ST, Coiera E. "Why Didn't it Work?" Lessons From a Randomized Controlled Trial of a Web-based Personally Controlled Health Management System for Adults with Asthma. J Med Internet Res 2015; 17:e283. [PMID: 26678294 PMCID: PMC4704895 DOI: 10.2196/jmir.4734] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 10/21/2015] [Accepted: 11/09/2015] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Personally controlled health management systems (PCHMS), which may include a personal health record (PHR), health management tools, and information resources, have been advocated as a next-generation technology to improve health behaviors and outcomes. There have been successful trials of PCHMS in various health settings. However, there is mixed evidence for whether consumers will use these systems over the long term and whether they ultimately lead to improved health outcomes and behaviors. OBJECTIVE The aim was to test whether use of a PCHMS by consumers can increase the uptake or updating of a written asthma action plan (AAP) among adults with asthma. METHODS A 12-month parallel 2-group randomized controlled trial was conducted. Participants living with asthma were recruited nationally in Australia between April and August 2013, and randomized 1:1 to either the PCHMS group or control group (online static educational content). The primary outcome measure was possession of an up-to-date written AAP poststudy. Secondary measures included (1) utilizing the AAP; (2) planned or unplanned visits to a health care professional for asthma-related concerns; (3) severe asthma exacerbation, inadequately controlled asthma, or worsening of asthma that required a change in treatment; and (4) number of days lost from work or study due to asthma. Ancillary analyses examined reasons for adoption or nonadoption of the intervention. Outcome measures were collected by online questionnaire prestudy, monthly, and poststudy. RESULTS A total of 330 eligible participants were randomized into 1 of 2 arms (intervention: n=154; control: n=176). Access to the PCHMS was not associated with a significant difference in any of the primary or secondary outcomes. Most participants (80.5%, 124/154) did not access the intervention or accessed it only once. CONCLUSIONS Despite the intervention being effective in other preventive care settings, system use was negligible and outcome changes were not seen as a result. Consumers must perceive the need for assistance with a task and assign priority to the task supported by the eHealth intervention. Additionally, the cost of adopting the intervention (eg, additional effort, time spent learning the new system) must be lower than the benefit. Otherwise, there is high risk consumers will not adopt the eHealth intervention. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12612000716864; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=362714 (Archived by WebCite® at http://www.webcitation.org/6dMV6hg4A).
Collapse
Affiliation(s)
- Annie Y S Lau
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
| | | | | | | | | |
Collapse
|
14
|
A web-based personally controlled health management system increases sexually transmitted infection screening rates in young people: a randomized controlled trial. J Am Med Inform Assoc 2015; 22:805-14. [DOI: 10.1093/jamia/ocu052] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 12/29/2014] [Indexed: 01/19/2023] Open
Abstract
Abstract
Objective To determine if a web-based personally controlled health management system (PCHMS) could increase the uptake of sexually transmitted infections (STI) screening among a young university population.
Methods A non-blinded parallel-group randomized controlled trial was conducted. Participants aged 18–29 years were recruited from a university environment between April and August 2013, and randomized 1:1 to either the intervention group (immediate online PCHMS access) or control group (no PCHMS access). The study outcome was self-reported STI testing, measured by an online follow-up survey in October 2013.
Results Of the 369 participants allocated to the PCHMS, 150 completed the follow-up survey, and of the 378 in the control group, 225 completed the follow-up survey. The proportion of the PCHMS group who underwent an STI test during the study period was 15.3% (23/150) compared with 7.6% (17/225) in the control group (P = .017). The difference in STI testing rates within the subgroup of sexually active participants (20.4% (23/113) of the PCHMS group compared with 9.6% (15/157) of the control group) was significantly higher (P = .027) than among non-sexually active participants.
Discussion Access to the PCHMS was associated with a significant increase in participants undergoing STI testing. This is also the first study to demonstrate efficacy of a PCHMS targeting a health concern where susceptibility is generally perceived as low and the majority of infections are asymptomatic.
Conclusion PCHMS interventions may provide an effective means of increasing the demand for STI testing which, combined with increased opportunistic testing by clinicians, could reduce the high and sustained rates of STIs in young people.
Collapse
|