The aim of this study was to systematically review the published evidence of the impact of health information technology (HIT) or health information systems (HIS) on the quality of healthcare, focusing on clinicians' adherence to evidence-based guidelines and the corresponding impact this had on patient clinical outcomes. The review covered the use of health information technologies and systems in both medical care (i.e. clinical and surgical) and other areas such as allied health and preventive services. Studies were included in the review if they examined the impact of Electronic Health Record (EHR), Computerised Provider Order-Entry (CPOE), or Decision Support System (DS); and if the primary outcomes of the studies were focused on the level of compliance with evidence-based guidelines among clinicians. Measurements considered relevant to the review were either of changes in clinical processes resulting from a change of the providers' behaviour, or of specific patient outcomes that demonstrated the effectiveness of a particular treatment given by providers. Of 23 studies included in the current review, 17 assessed the impact of HIT/HIS on health care practitioners' performance. A positive improvement, in relation to their compliance with evidence-based guidelines, was seen in 14 studies. Studies that included an assessment of patient outcomes, however, showed insufficient evidence of either clinically or statistically important improvements. Although the number of studies reviewed was relatively small, the findings demonstrated consistency with similar previous reviews of this nature in that wide scale use of HIT has been shown to increase clinician's adherence to guidelines.

Background: The number of patients with Parkinson’s disease among older adults is rapidly increasing. Such patients mostly take medication and require regular physician visits. However, the effect of physician visit frequency for the treatment for Parkinson’s disease has not been evaluated. This study aimed to evaluate the impact of physician visit frequency for Parkinson’s disease treatment on mortality, healthcare days, and healthcare and long-term care costs among older adults. Methods: This study employed a retrospective cohort design utilizing claims data from the Fukuoka Prefecture Wide-Area Association of Latter-Stage Elderly Healthcare Insurance and Long-Term Care Insurance. Patients aged ≥75 years who were newly diagnosed with Parkinson’s disease in 2014 were included in this study, following the onset of Parkinson’s disease to March 31, 2019. We calculated the restricted mean survival time to evaluate mortality, focusing on the frequency of physician visits for Parkinson’s disease treatment. Inpatient days, outpatient days, and healthcare and long-term care costs per month were calculated using a generalized linear model. Results: There were 2224 participants, with 46.5% mortality among those with a higher frequency of physician visits and 56.4% among those with a lower frequency of physician visits. A higher frequency of physician visits was associated with a significant increase in survival time (1.57 months at 24 months and 5.00 months at 60 months) after the onset of Parkinson’s disease and a decrease in inpatient days and healthcare costs compared to a lower frequency of physician visits. Conclusions: A higher frequency of physician visits was significantly associated with longer survival time, fewer inpatient days, and lower healthcare costs. Caregivers should support patients with Parkinson’s disease to visit physicians regularly for their treatment.

The healthcare industry in Malaysia has become one of the most important and developed industries over the past years. The usage of advanced technology and equipment has led to a significantly high cost of medical care. The population is advised to apply for Medical and Health Insurance to aid them with financial security for better treatments and consultations. The purpose of this study is to utilize the Theory of Planned Behavior to predict the intention to purchase Medical and Health Insurance among the graduating students. The objectives of this study are to investigate the factors that influence the populations’ intention and determining the relationship between Theory of Planned Behavior towards the populations’ intention to purchase Medical and Health Insurance. A cross-sectional study was conducted in higher education institutions in Klang Valley. The findings of this study have shown that Attitude and Perceived Benefits have the highest mean score values, hence became the main factors that influence the population’s intention to purchase Medical and Health Insurance. The results also stated that all the variables have a significant relationship with the intention to purchase Medical and Health Insurance except for Perceived Behavioral Intention. The recommendations of the study are: (1) include family members and friends in the decision to purchase, (2) search for more resources and information on Medical and Health Insurance.

The presence of comorbid conditions along with heterogeneity in terms of healthcare practices and service delivery could have a significant impact on the patient's outcomes. With a strong interest in social epidemiology to examine the impact of health services and variations on health outcomes, the current study was conducted to analyse the incidence of hemodialysis-associated infection (HAI) as well as its associated factors, and to quantify the extent to which the contextual effects of the care facility and regional variations influence the risk of HAI. A total of 6111 patients with end-stage renal disease who received hemodialysis treatment between 1 October 2015 and 31 March 2016 were identified from the insurance claim database as a population-based, close-cohort retrospective study. Patients were followed for one year from April 1, 2016 to March 31, 2017. A total of 200 HAI cases were observed during the follow-up and 12 patients died within 90 days of the onset of HAI. Increased risks for HAI were associated with moderate (HR 1.73, 95% confidence interval [CI] 1.00–2.98) and severe (HR 1.87, 95% CI 1.11–3.14) comorbid conditions as well as malignancy (HR 1.36, 95% CI 1.00–1.85). Increased risk was also seen among patients who received hemodialysis treatment from clinics (HR 2.49, 95% CI 1.1–5.33). However, these statistics were no longer significant when variations at the level of care facilities were statistically controlled. In univariate analyses, no statistically significant association was observed between 90-day mortality and baseline patients, and the characteristics of the care facility. The results of the multivariate, multilevel analyses indicated that HAI variations were only significant at the care facility level (σ² 2.07, 95% CI 1.3–3.2) and were largely explained by the heterogeneity between care facilities. The results of this study highlight the need to look beyond the influence of patient-level characteristics when developing policies that aim at improving the quality of hemodialysis healthcare and service delivery in Japan.

Background: The cost-sharing impact on hospital service utilization of different services is a critical issue that has not been well addressed worldwide. This study aimed to investigate the cost-sharing effects based on income status on hospital service utilization of different services among elderly people in Japan and provide a comprehensive examination and discussion for the reasonability of a cost-sharing system. Methods: The data were extracted from the Latter-Stage Elderly Healthcare Insurance database in the fiscal year 2016. A total of 610 182 insured people aged ≥75 years old, with 155 773 hospitalization patients, were identified. Hospitalization rate, length of stay (LOS), and total hospitalization cost were used to test the statistical significance among patients categorized by income levels. Generalized linear models for total hospitalization cost were constructed based on bed types to further assess different hospital service utilization. Results: For medical chronic care and psychiatric beds, which both required long-term care treatment, much higher hospitalization rates were observed in the patients with low- and middle-income levels than patients with high-income level. The LOS and total hospitalization cost of the patients with low- and middle-income levels were significantly higher than the patients with high-income level treated in medical chronic care and psychiatric beds. For psychiatric beds, the total hospitalization cost for patients with low-income level was significantly higher than that for patients with highincome level. Conclusion: The cost-sharing policy in Japan, especially the cap for out-of-pocket needs further determination. The importance of community-based care services needs to be emphasized, and the collaboration between hospitals and community-based care facilities should be enhanced.