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BACKGROUND eElectronic health (eHealth) chronic kidney disease (CKD) information is readily available over the mobile devices and placed as mobile-health (mHealth) information resources. The field of mHealth on CKD is promising in that it can empower individuals and delay the progress of the disease. OBJECTIVE This study aims to critically review published papers on the eHealth and its implication on mHealth of CKD. METHODS The academic databases EBSCO (CINAHL and PROQUEST), MEDLINE, PubMed, and Cochrane were systematically searched. Eight studies investigated the specific role of mHealth on CKD, including the detailed contents related to the conceptual acceptance and usage of technology in daily life, user, health care professionals, and the system’s bonding, mobile eHealth, content and evaluation of mHealth on CKD. RESULTS The available evidence on mHealth of CKD is limited and the findings indicate a discrepancy of the wording concept of mHealth. Those evidences might be caused by the scarce evidence on the effectiveness of using mHealth on CKD. CONCLUSIONS The limitation on the availability of CKD’s mobile health interventions that focus on patient education, behavior change and prevention contributes to inconsistent usage. Inadequate evidence might interrupt the development of mHealth intervention for individuals with CKD. Our findings illustrate the need on the conceptualizing of mHealth on CKD, acceptance and accessed, content, and evaluation focused on evidence-based will advance the quality of mHealth services, facilitate the continuity of mHealth application, and proposed patient-center-care.
BACKGROUND eElectronic health (eHealth) chronic kidney disease (CKD) information is readily available over the mobile devices and placed as mobile-health (mHealth) information resources. The field of mHealth on CKD is promising in that it can empower individuals and delay the progress of the disease. OBJECTIVE This study aims to critically review published papers on the eHealth and its implication on mHealth of CKD. METHODS The academic databases EBSCO (CINAHL and PROQUEST), MEDLINE, PubMed, and Cochrane were systematically searched. Eight studies investigated the specific role of mHealth on CKD, including the detailed contents related to the conceptual acceptance and usage of technology in daily life, user, health care professionals, and the system’s bonding, mobile eHealth, content and evaluation of mHealth on CKD. RESULTS The available evidence on mHealth of CKD is limited and the findings indicate a discrepancy of the wording concept of mHealth. Those evidences might be caused by the scarce evidence on the effectiveness of using mHealth on CKD. CONCLUSIONS The limitation on the availability of CKD’s mobile health interventions that focus on patient education, behavior change and prevention contributes to inconsistent usage. Inadequate evidence might interrupt the development of mHealth intervention for individuals with CKD. Our findings illustrate the need on the conceptualizing of mHealth on CKD, acceptance and accessed, content, and evaluation focused on evidence-based will advance the quality of mHealth services, facilitate the continuity of mHealth application, and proposed patient-center-care.
BACKGROUND Diabetes management is a growing health care challenge worldwide. eHealth can revolutionize diabetes care, the success of which depends on end user acceptance. OBJECTIVE This study aims to understand the readiness and acceptance of eHealth services for diabetes care among the general population, perceived advantages and disadvantages of eHealth, and factors associated with eHealth readiness and acceptance in a multiethnic Asian country. METHODS In this cross-sectional epidemiological study, participants (N=2895) were selected through disproportionate stratified random sampling from a population registry. Citizens or permanent residents of Singapore aged >18 years were recruited. The data were captured through computer-assisted personal interviews. An eHealth questionnaire was administered in one of four local languages (English, Chinese, Malay, or Tamil), as preferred by the participant. Bivariate chi-square analyses were performed to compare the sociodemographic characteristics and perception of advantages and disadvantages of eHealth services between the diabetes and nondiabetes groups. Multivariable logistic regression models were used to determine factors associated with eHealth readiness and acceptance. All analyses were weighted using survey weights to account for the complex survey design. RESULTS The sample comprised participants with (n=436) and without (n=2459) diabetes. eHealth readiness was low, with 47.3% of the overall sample and 75.7% of the diabetes group endorsing that they were not ready for eHealth (<i>P</i><.001). The most acceptable eHealth service overall was <i>booking appointments</i> (67.4%). There was a significantly higher preference in the diabetes group for face-to-face sessions for <i>consultation with the clinician</i> (nondiabetes: 83.5% vs diabetes: 92.6%; <i>P</i><.001), <i>receiving prescriptions</i> (61.9% vs 79.3%; <i>P</i><.001), <i>referrals to other doctors</i> (51.4% vs 72.2%; <i>P</i><.001), and <i>receiving health information</i> (34% vs 63.4%; <i>P</i><.001). The majority of both groups felt that eHealth requires users to be computer literate (90.5% vs 94.3%), does not build clinician-patient rapport compared with face-to-face sessions (77.5% vs 81%), and might not be credible (56.8% vs 64.2%; <i>P</i>=.03). Age (≥35 years), ethnicity (Indian), and lower education status had lower odds of eHealth readiness. Age (≥35 years), ethnicity (Indian), lower education status (primary school), BMI (being underweight), and marital status (being single) were associated with a lower likelihood of eHealth acceptance. Among only those with diabetes, a longer duration of diabetes (4-18 years), higher education (degree or above), and younger age (23-49 years) were associated with eHealth readiness, whereas younger age and income (SGD 2000-3999 [US $1481-$2961]) were associated with acceptance. CONCLUSIONS Overall, an unfavorable attitude toward eHealth was observed, with a significantly higher number of participants with diabetes reporting their unwillingness to use these services for their diabetes care. Sociodemographic factors associated with acceptance and readiness identified a group of people who were unlikely to accept the technology and thus need to be targeted for eHealth literacy programs to avoid health care disparity. CLINICALTRIAL INTERNATIONAL REGISTERED REPORT RR2-10.1136/bmjopen-2020-037125
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