eHealth in kidney care

Wang, Chia-shi; Ku, Elaine

doi:10.1038/s41581-020-0271-z

Cited by 18 publications

(19 citation statements)

References 8 publications

(13 reference statements)

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“…3,35 In this context, there are many opportunities to apply information technology to improve and scale chronic disease management. [36][37][38] Electronic health records could significantly improve care management for CKD in patients with T2D, including optimizing CKD early screening and detection. 38,39 Better use of information technology and clinical decision support systems, 40 for example, automatic ordering of UACR tests and/or checklists detailing when and how to test, can improve rates of UACR testing and reporting.…”

Section: Challenges Limiting Uacr Testingmentioning

confidence: 99%

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Optimal Early Diagnosis and Monitoring of Diabetic Kidney Disease in Type 2 Diabetes Mellitus: Addressing the Barriers to Albuminuria Testing

Christofides

Desai

2021

J Prim Care Community Health

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Chronic kidney disease (CKD) in patients with type 2 diabetes (T2D) is associated with increased risk of end-stage renal disease (ESRD) and cardiovascular disease (CVD). Urine albumin-to-creatinine ratio (UACR) is a sensitive and early indicator of kidney damage, which should be used routinely to accurately assess CKD stage and monitor kidney health. However, this test currently is performed in only a minority of patients with T2D. Here, we review the importance of albuminuria testing and current barriers that hinder patient access to UACR testing and describe solutions to such testing in a community clinical setting.

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Section: Challenges Limiting Uacr Testingmentioning

confidence: 99%

“…3 , 35 In this context, there are many opportunities to apply information technology to improve and scale chronic disease management. 36 - 38 Electronic health records could significantly improve care management for CKD in patients with T2D, including optimizing CKD early screening and detection. 38 , 39 …”

Section: Current Barriers To Uacr Screeningmentioning

confidence: 99%

Optimal Early Diagnosis and Monitoring of Diabetic Kidney Disease in Type 2 Diabetes Mellitus: Addressing the Barriers to Albuminuria Testing

Christofides

Desai

2021

J Prim Care Community Health

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“…Digital health operational resources from the acquisition of ICT resources such as hardware and software, generally require significant investment upfront plus total cost of ownership. However, there is less evidence on the capital and recurring costs needed to implement and maintain digital health systems and programs (Long et al, 2018, Wang andKu, 2020). This has particularly been the case when scaling up from small digital health projects to institutionalization.…”

Section: Theory Background and Hypothesesmentioning

confidence: 99%

PLS-SEM path analysis to determine the predictive relevance of e-Health readiness assessment model

et al. 2020

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Background and significance: There a sizable body of research addressing the evaluation of eHealth/health information technology (HIT) readiness using a standard readiness model in the domain of IS. However, there is a general lack of reliable indicators used in measuring readiness assessment factors, resulting in limited predictability. The availability of reliable measuring tools could help improve outcome of readiness assessments.Objective: Determining the predictive relevance of developed HIT model Materials and methods:We collected quantitative data from clinical and non-clinical (administrators) staff at Komfo Anokye Teaching Hospital (KATH), Kumasi Ghana using the traditional in-person distribution of paper-based survey, popularly known as drop and collect survey (DCS). We then used PLS-SEM path analysis to measure the predictive relevance of a block of manifest indicators of the readiness assessment factors.Results and discussion: Three important readiness assessment factors are thought to define and predict the structure of the KATH HIT/eHealth readiness survey data (Technology readiness (TR); Operational resource readiness (ORR); and Organizational cultural readiness (OCR). As many public healthcare organizations in Ghana have already gone paperless without any reliable HIT/eHealth guiding policy, there is a critical need for reliable HIT/eHealth regulatory policies readiness (RPR) and some improvement in HIT/eHealth strategic planning readiness (core readiness). Conclusion:The final model (R 2 = 0.558 and Q 2 = 0.378) suggest that TR, ORR, and OCR explained 55.8% of the total amount of variance in HIT/eHealth readiness in the case of KATH and the relevance of the overall paths of the model was predictive. Fit values (SRMR = 0.054; d_ULS = 6.717; d_G = 6.231; Chi 2 = 6,795.276; NFI = 0.739). Generally, the GoF for this SEM are encouraging and can substantially be improved.

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“…In the current era of the COVID-19 global pandemic, the potential for using eHealth to transform kidney disease management is increasingly recognised 9 10. A cross-sectional survey conducted by the International Society of Nephrology (ISN) Global Kidney Health Atlas (GKHA) in 2017 reported low utilisation of health information systems in the care of patients with kidney failure, especially in low-income countries (LICs) and lower-middle-income countries (LMICs) 11.…”

Section: Introductionmentioning

confidence: 99%

Global eHealth capacity: secondary analysis of WHO data on eHealth and implications for kidney care delivery in low-resource settings

Okpechi

Muneer

et al. 2022

BMJ Open

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ObjectiveTo describe the use of electronic health (eHealth) in support of health coverage for kidney care across International Society of Nephrology (ISN) regions.DesignSecondary analysis of WHO survey on eHealth as well as use of data from the World Bank, and Internet World Stats on global eHealth services.SettingA web-based survey on the use of eHealth in support of universal health coverage.Participants125 WHO member states provided response.Primary outcome measuresAvailability of eHealth services (eg, electronic health records, telehealth, etc) and governance frameworks (policies) for kidney care across ISN regions.ResultsThe survey conducted by the WHO received responses from 125 (64.4%) member states, representing 4.4 billion people globally. The number of mobile cellular subscriptions was <100% of the population in Africa, South Asia, North America and North East Asia; the percentage of internet users increased from 2015 to 2020 in all regions. Western Europe had the highest percentage of internet users in all the periods: 2015 (82.0%), 2019 (90.7%) and 2020 (93.9%); Africa had the least: 9.8%, 21.8% and 31.4%, respectively. The North East Asia region had the highest availability of national electronic health record system (75%) and electronic learning access in medical schools (100%), with the lowest in Africa (27% and 39%, respectively). Policies concerning governance aspects of eHealth (eg, privacy, liability, data sharing) were more widely available in high-income countries (55%–93%) than in low-income countries (0%–47%), while access to mobile health for treatment adherence was more available in low-income countries (21%) than in high-income countries (7%).ConclusionThe penetration of eHealth services across ISN regions is suboptimal, particularly in low-income countries. Increasing utilisation of internet communication technologies provides an opportunity to improve access to kidney education and care globally, especially in low-income countries.

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eHealth in kidney care

Cited by 18 publications

References 8 publications

Optimal Early Diagnosis and Monitoring of Diabetic Kidney Disease in Type 2 Diabetes Mellitus: Addressing the Barriers to Albuminuria Testing

Optimal Early Diagnosis and Monitoring of Diabetic Kidney Disease in Type 2 Diabetes Mellitus: Addressing the Barriers to Albuminuria Testing

PLS-SEM path analysis to determine the predictive relevance of e-Health readiness assessment model

Global eHealth capacity: secondary analysis of WHO data on eHealth and implications for kidney care delivery in low-resource settings

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