scholarly journals Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis

10.2196/11613 ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. e11613 ◽  
Author(s):  
Jelena Arsenijevic ◽  
Lars Tummers ◽  
Niels Bosma
Keyword(s):  
Health Care ◽  
Access To Health Care ◽  
Health Care Quality ◽  
Meta Analysis ◽  
Care Quality ◽  
Vulnerable Groups ◽  
Adherence Rate ◽  
Direct Communication ◽  
Design And Implementation ◽  
Electronic Health

Background Electronic health (eHealth) tools are increasingly being applied in health care. They are expected to improve access to health care, quality of health care, and health outcomes. Although the advantages of using these tools in health care are well described, it is unknown to what extent eHealth tools are effective when used by vulnerable population groups, such as the elderly, people with low socioeconomic status, single parents, minorities, or immigrants. Objective This study aimed to examine whether the design and implementation characteristics of eHealth tools contribute to better use of these tools among vulnerable groups. Methods In this systematic review, we assessed the design and implementation characteristics of eHealth tools that are used by vulnerable groups. In the meta-analysis, we used the adherence rate as an effect size measure. The adherence rate is defined as the number of people who are repetitive users (ie, use the eHealth tool more than once). We also performed a meta-regression analysis to examine how different design and implementation characteristics influenced the adherence rate. Results Currently, eHealth tools are continuously used by vulnerable groups but to a small extent. eHealth tools that use multimodal content (such as videos) and have the possibility for direct communication with providers show improved adherence among vulnerable groups. Conclusions eHealth tools that use multimodal content and provide the possibility for direct communication with providers have a higher adherence among vulnerable groups. However, most of the eHealth tools are not embedded within the health care system. They are usually focused on specific problems, such as diabetes or obesity. Hence, they do not provide comprehensive services for patients. This limits the use of eHealth tools as a replacement for existing health care services.

scholarly journals Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis (Preprint)

2018 ◽  
Author(s):  
Jelena Arsenijevic ◽  
Lars Tummers ◽  
Niels Bosma
Keyword(s):  
Health Care ◽  
Access To Health Care ◽  
Health Care Quality ◽  
Meta Analysis ◽  
Care Quality ◽  
Vulnerable Groups ◽  
Adherence Rate ◽  
Direct Communication ◽  
Design And Implementation ◽  
Electronic Health

BACKGROUND Electronic health (eHealth) tools are increasingly being applied in health care. They are expected to improve access to health care, quality of health care, and health outcomes. Although the advantages of using these tools in health care are well described, it is unknown to what extent eHealth tools are effective when used by vulnerable population groups, such as the elderly, people with low socioeconomic status, single parents, minorities, or immigrants. OBJECTIVE This study aimed to examine whether the design and implementation characteristics of eHealth tools contribute to better use of these tools among vulnerable groups. METHODS In this systematic review, we assessed the design and implementation characteristics of eHealth tools that are used by vulnerable groups. In the meta-analysis, we used the adherence rate as an effect size measure. The adherence rate is defined as the number of people who are repetitive users (ie, use the eHealth tool more than once). We also performed a meta-regression analysis to examine how different design and implementation characteristics influenced the adherence rate. RESULTS Currently, eHealth tools are continuously used by vulnerable groups but to a small extent. eHealth tools that use multimodal content (such as videos) and have the possibility for direct communication with providers show improved adherence among vulnerable groups. CONCLUSIONS eHealth tools that use multimodal content and provide the possibility for direct communication with providers have a higher adherence among vulnerable groups. However, most of the eHealth tools are not embedded within the health care system. They are usually focused on specific problems, such as diabetes or obesity. Hence, they do not provide comprehensive services for patients. This limits the use of eHealth tools as a replacement for existing health care services.

Implementing Health Care Quality Measures in Electronic Health Records: A Conceptual Model

2021 ◽  
Author(s):  
Claire M. Campbell ◽  
Daniel R. Murphy ◽  
George E. Taffet ◽  
Anita B. Major ◽  
Christine S. Ritchie ◽  
...  
Keyword(s):  
Health Care ◽  
Electronic Health Records ◽  
Conceptual Model ◽  
Health Care Quality ◽  
Quality Measures ◽  
Care Quality ◽  
Health Records ◽  
Electronic Health

scholarly journals Primary health care quality in Iran: a systematic review and meta-analysis

2019 ◽  
Vol 21 (1) ◽  
pp. 71-77
Author(s):  
Hasan Abolghasem Gorji ◽  
Sanaz Royani ◽  
Mohammad Mohseni ◽  
Saber Azami-Aghdash ◽  
Ahmad Moosavi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Primary Health Care ◽  
Health Care Quality ◽  
Meta Analysis ◽  
Care Quality ◽  
Primary Health

Relationship Between Use of Electronic Health Record Features and Health Care Quality

Medical Care ◽  
2010 ◽  
Vol 48 (3) ◽  
pp. 203-209 ◽  
Author(s):  
Eric G. Poon ◽  
Adam Wright ◽  
Steven R. Simon ◽  
Chelsea A. Jenter ◽  
Rainu Kaushal ◽  
...  
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Health Care Quality ◽  
Care Quality ◽  
Health Record ◽  
Electronic Health

scholarly journals Including Language Access into Medicaid ACO Design

2016 ◽  
Vol 44 (3) ◽  
pp. 492-502
Author(s):  
Rachel Gershon ◽  
Lisa Morris ◽  
Warren Ferguson
Keyword(s):  
Health Care ◽  
Access To Health Care ◽  
Health Care Quality ◽  
Care Quality ◽  
Cost Of Care ◽  
Care Organization ◽  
Accountable Care ◽  
Language Access ◽  
Language Services ◽  
Payment Methods

Quality health care relies upon communication in a patient's preferred language. Language access in health care occurs when individuals are: (1) Welcomed by providers regardless of language ability; and (2) Offered quality language services as part of their care. Federal law generally requires access to health care and quality language services for deaf and Limited English Proficient (LEP) patients in health care settings, but these patients still find it hard to access health care and quality language services.Meanwhile, several states are implementing Medicaid Accountable Care Organization (ACO) initiatives to reduce health care costs and improve health care quality. Alternative payment methods used in these initiatives can give Accountable Care Organizations more flexibility to design linguistically accessible care, but they can also put ACOs at increased financial risk for the cost of care. If these new payment methods do not account for differences in patient language needs, ACO initiatives could have the unintended consequence of rewarding ACOs who do not reach out to deaf and LEP communities or offer quality language services.We reviewed public documents related to Medicaid ACO initiatives in six states. Some of these documents address language access. More could be done, however, to pay for language access efforts. This article describes Medicaid ACO initiatives and explores how different payment tools could be leveraged to reward ACOs for increased access to care and quality language services. We find that a combination of payment tools might be helpful to encourage both access and quality.

scholarly journals Electronic health records and health care quality over time in a federally qualified health center

2015 ◽  
Vol 22 (2) ◽  
pp. 453-458 ◽  
Author(s):  
Lisa M. Kern ◽  
Alison M. Edwards ◽  
Michelle Pichardo ◽  
Rainu Kaushal
Keyword(s):  
Health Care ◽  
Quality Improvement ◽  
Electronic Health Records ◽  
Health Center ◽  
Health Care Quality ◽  
Meaningful Use ◽  
Care Quality ◽  
Health Records ◽  
Federally Qualified Health Center ◽  
Electronic Health

Abstract The longitudinal effects of electronic health records (EHRs) on ambulatory quality are not clear. It is not known whether adoption and meaningful use of EHRs result in a brief period of quality improvement that then plateaus, or whether with ongoing use quality improvement continues. We studied health care quality at six sites of a Federally Qualified Health Center in New York State over 3 years (2008–2010) for 25 290 unique patients. Patients were twice as likely to receive recommended care on a set of 12 quality measures (11 of which are included in Stage 1 Meaningful Use) 3 years post-EHR implementation, compared to 1-year post-implementation (odds ratio 1.97; 95% confidence interval, 1.91–2.03). The magnitude of absolute improvement ranged from 5% to 20% per measure. EHRs were associated with continuing improvement in health care quality for at least 3 years post-implementation in the safety-net setting of a Federally Qualified Health Center.

Benchmarking: Extracting Clinical Measures and Practice Performance From the Electronic Health Record

2009 ◽  
Vol 2 (1) ◽  
pp. 23-26
Author(s):  
Julie A. Lindenberg
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Disease Management ◽  
Electronic Health Record ◽  
Health Care Quality ◽  
Care Quality ◽  
Health Record ◽  
Practice Performance ◽  
Electronic Health ◽  
Near Term

Adoption of electronic health record (EHR) systems can lead to health care savings, reduction in medical errors, and improvement in health. The intersection of health information technology (HIT) and health care quality is a result of the following two developments: the quality improvement movement and the maturation of HIT. The potential safety benefits of EHR systems focus largely on alerts, reminders, and other components of ambulatory computerized provider order entry. EHR systems are integral throughout the disease management process. Using HIT for near-term chronic disease management programs has the benefits of identifying people with a potential or active chronic disease, targeting services based on their level of risk, and monitoring their risk. The purposes of benchmarking and survey reports are to provide a quantifiable measure of performance and to quantify gaps between your practice and best practices.

Sign in / Sign up

Export Citation Format

Share Document