2 research outputs found

    Factors associated with adoption of the electronic health record system among primary care physicians

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    Background: A territory-wide Internet-based electronic patient record allows better patient care in different sectors. The engagement of private physicians is one of the major facilitators for implementation, but there is limited information about the current adoption level of electronic medical record (eMR) among private primary care physicians. Objective: This survey measured the adoption level, enabling factors, and hindering factors of eMR, among private physicians in Hong Kong. It also evaluated the key functions and the popularity of electronic systems and vendors used by these private practitioners. Methods: A central registry consisting of 4324 private practitioners was set up. Invitations for self-administered surveys and the completed questionnaires were sent and returned via fax, email, postal mail, and on-site clinic visits. Current users and non-users of eMR system were compared according to their demographic and practice characteristics. Student’s t tests and chi-square tests were used for continuous and categorical variables, respectively. Results: A total of 524 completed surveys (response rate 524/4405 11.90%) were collected. The proportion of using eMR in private clinics was 79.6% (417/524). When compared with non-users, the eMR users were younger (users: 48.4 years SD 10.6 years vs non-users: 61.7 years SD 10.2 years, P<.001); more were female physicians (users: 80/417, 19.2% vs non-users: 14/107, 13.1%, P=.013); possessed less clinical experience (with more than20 years of practice: users: 261/417, 62.6% vs non-user: 93/107, 86.9%, P<.001); fewer worked under a Health Maintenance Organization (users: 347/417, 83.2% vs non-users: 97/107, 90.7%, P<.001) and more worked with practice partners (users: 126/417, 30.2% vs non-users: 4/107, 3.7%, P<.001). Efficiency (379/417, 90.9%) and reduction of medical errors (229/417, 54.9%) were the major enabling factors, while patient-unfriendliness (58/107, 54.2%) and limited consultation time (54/107, 50.5%) were the most commonly reported hindering factors. The key functions of computer software among eMR users consisted of electronic patient registration system (376/417, 90.2%), drug dispensing system (328/417, 78.7%) and electronic drug labels (296/417, 71.0%). SoftLink Clinic Solution was the most popular vendor (160/417, 38.4%). Conclusions: These findings identified several physician groups who should be targeted for more assistance on eMR installation and its adoption. Future studies should address the barriers of using Internet-based eMR to enhance its adoption

    Determinants of medication adherence and blood pressure control among hypertensive patients in Hong Kong: a cross-sectional study

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    Introduction: Despite effective treatments, suboptimal medication adherence substantially hinders blood pressure (BP) control among hypertensive patients. This study aimed to evaluate the determinants of medication adherence and BP control among hypertensive patients in Hong Kong. Methods: A cross-sectional study was conducted. Adult patients aged > 18 years taking at least one type of antihypertensive drugs were recruited from four clinics in Hong Kong. Each patient completed a self-administered questionnaire, including socio-demographic variables and items related to knowledge, illness perception and medication adherence. Medication adherence was measured by the eight-item Morisky Medication Adherence Scale (MMAS-8), with a score > 6 defined as “good adherence”. BP was measured, and optimal control was defined as systolic BP < 140 mm Hg and diastolic BP < 90 mm Hg. Results: Among 2445 patients, 55.1% and 52.5% had optimal medication adherence and BP control, respectively. Binary logistic regression analyses were conducted with optimal medication adherence and BP control, respectively, as the outcome variables. Advanced age (adjusted odds ratio [aOR] 1.012, 95% CI 1.002–1.022, p = 0.014), unemployment (aOR for employed 0.782, 95% CI 0.628–0.975, p = 0.029), and good self-perceived health status (aOR 2.155, 95% CI 1.711–2.714, p < 0.001) were associated with good adherence; whereas being married (aOR 1.265, 95% CI 1.038–1.542, p = 0.020) and having no co-morbidity (aOR for morbidity count 0.713, 95% CI 0.639–0.796, p < 0.001) were associated with optimal BP control. Conclusion: Evidence-based, adherence-enhancing interventions should be targeted on younger subjects; employed patients; and those with poor self-perceived health status. Patients who are single and those with comorbidities should be closely monitored for their BP control
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