Determinants analysis of outpatient service utilisation in Georgia: can the approach help inform benefit package design?

Factors Affecting the Use of Private Outpatient Services among the Adult Population in Malaysia

The proportion of Malaysians of all ages who use private outpatient services has dropped over time, highlighting the overstretched condition of public outpatient facilities compared to their private counterparts. This paper aims to determine the prevalence of outpatient care, characteristics of outpatient care users by sector, and the factors affecting the utilisation of private outpatient services among the adult population of Malaysia using Andersen's behavioural model. Data from the National Health Morbidity Survey 2019 (NHMS 2019), a nationwide survey, were analysed. Logistic regression analysis was performed to explore the association of predisposing (locality, age, sex, ethnicity, education level, and marital status), enabling (working status, health care coverage, and household income), and need factors (perceived and evaluated needs) with the use of private outpatient services. Variables with a statistical significance ≤ 0.25 in the univariate regression analysis were included in the final multivariable logistic regression analysis. A total of 11,674 respondents, estimated to represent 22.4 million adults aged 18 years and above in Malaysia, were included for analysis. Overall, 8.3% of the adult population of Malaysia used outpatient care and 33.9% used the private sector. Those living in urban areas (OR = 1.80, 95% CI = 1.02, 3.18), non-Malays (OR = 1.74, 95% CI = 1.04, 2.93), those working (OR = 2.47, 95% CI = 1.48, 4.10), those with employer coverage (OR = 4.73, 95% CI = 2.79, 8.01), and those with health problems (OR = 2.26, 95% CI = 1.26, 4.05) were more likely to utilise private outpatient services. Those who self-rated their health status as fair (OR = 0.54, 95% CI = 0.33, 0.91) and who had diabetes, hypertension, or hypercholesterolemia (OR = 0.56, 95% CI = 0.31, 1.02) were less likely to utilise private outpatient services. The predisposing and enabling factors were associated with the use of private outpatient services, and the need factors were strong predictors of private outpatient care utilisation among adults. Understanding the factors associated with the utilisation of private outpatient services could aid in the development of effective initiatives designed to enhance outpatient care access among the population of Malaysia and balance the burden of outpatient care provision on the public and private sector.

Medical service utilization and out-of-pocket spending among near-poor National Health Insurance members in South Korea

Background

The public health care system in South Korea is a two-tiered system. The lowest-income population is covered by the Medical Aid program, and the remaining population is covered by the National Health Insurance. The near poor, a relatively low-income population which is excluded from South Korea’s Medical Aid program due to exceeding the income threshold, experiences insufficient use of medical services and incurs high out-of-pocket expenses due to a lack of coverage under the country’s National Health Insurance (NHI) program. This study aims to examine medical utilization, out-of-pocket spending, and the occurrence of catastrophic health expenditures among the near-poor group compared to both Medical Aid beneficiaries and other (higher income) NHI members.

Methods

A cross-sectional study was conducted drawing upon a nationally representative dataset derived from the 2018 Korea Welfare Panel Study. The study classified people into three groups: Medical Aid beneficiaries; the near-poor population below 50 % of the median income threshold but still not qualifying for Medical Aid and thus enrolled in NHI; and NHI members above the threshold of 50 % of the median income. Using a generalized boosted model to estimate the propensity score weights between study groups, this study examined medical utilization, out-of-pocket spending, and the occurrence of catastrophic health expenditure among the study groups.

Results

The findings suggest that the utilization of medical services was not significantly different among the study groups. However, out-of-pocket spending and the occurrence of catastrophic health expenditure were significantly higher in the near-poor group compared to the other two groups.

Conclusions

The study found that the near-poor group was the most vulnerable among the Korean population because of their higher chance of incurring greater out-of-pocket spending and catastrophic health expenditures than is the case among the Medical Aid beneficiary and above-poverty line groups. Health policy needs to take the vulnerability of this near-poor population into account.

Factors influencing health care use by health insurance subscribers and medical aid beneficiaries: a study based on data from the Korea welfare panel study database

BACKGROUND

The use of health care services is influenced by various factors, including demographic, social, economic, and health status factors. This study aimed to identify the factors that influence health care use in health insurance subscribers and medical aid beneficiaries in Korea.

METHODS

A total of 11,793 subjects were identified, including 10,838 health insurance subscribers and 955 medical aid beneficiaries, using the Korea Welfare Panel Study database. The data were analysed by percentage, t-test, and multiple regression using SPSS 20.0.

RESULTS

Medical aid beneficiaries had 13.51 more days of outpatient visits and 8.38 more days of hospitalization compared with health insurance subscribers. Factors affecting the frequency of outpatient visits for health insurance subscribers were gender, age, household type, education level, income level, administrative district, perceived health status, chronic disease, and disability. These factors accounted for 19.8% of explanation (p < .001). Whereas, gender, household type, administrative district, perceived health status, and chronic disease were identified as factors influencing outpatient frequency for medical aid beneficiaries. These factors accounted for 11.2% of explanation (p < .001). For health insurance subscribers, factors affecting the length of hospitalization were gender, public pension status, place of residence, administrative district, economic activity, income level, perceived health status, and disability status. These factors accounted for 7.2% of explanation (p < .001). While, factors affecting the length of hospitalization for medical aid beneficiaries were accounted for by 3.4% (p < .001). Gender and perceived health status were identified as factors influencing the length of hospitalization of medical aid beneficiaries.

CONCLUSIONS

There were differences between medical aid beneficiaries and health insurance subscribers in health care use and influencing factors. Future management programs should take into consideration the specific factors that influence the use of health care services in health insurance subscribers and medical aid beneficiaries.

Effects of expanding outpatient benefit package on the rationality of medical service utilisation of patients with hypertension: a quasi-experimental trial in rural China

OBJECTIVE

To estimate the effects of expanding outpatient benefit package on ameliorating the issues of over-reliance on inpatient services and seeking higher level medical services in rural China.

DESIGN

A quasi-experimental design.

SETTING AND PARTICIPANTS

1673 pairs of patients with hypertension were selected after using propensity score matching from Dangyang county (intervention group) and Zhijiang (control group) county, Hubei province.

INTERVENTION

The outpatient annual reimbursement capping line was expanding from ¥300 to ¥600, daily capping line from ¥10/12 to ¥150. The compensation scope and institution were also enlarged from January 2016.

OUTCOME MEASURES

The difference-in-differences model was used to estimate the effects on medical service type selection. χ2 test was used to verify the effects on medical institution selection. We also examined the effects on health outcomes through the length of stay and blood pressure changes.

RESULTS

The intervention was associated with 3.225 times (p=0.001) increase in total visits. Outpatient visits increased by 3.3 times (p=0.008), whereas the township level presented a maximum increase of 1.932 times (p=0.001). The inpatient visits declined by 0.075 times (p=0.000), whereas county-level inpatient visits reached a maximum decrease of 0.042 times (p=0.033). Meanwhile, the township level exhibited a maximum proportion growth of 14.8% in outpatient (p=0.000) and 13.3% in inpatient visits (p=0.048). Outpatient visits at the county level dropped at 13.2% (p=0.000), whereas inpatients visits declined by 7.7% (p=0.040). The length of stay and blood pressure were decreased, respectively, compared with the control group.

CONCLUSION

Improving outpatient benefit package alleviated patient dependence on inpatient services through motivating outpatient service utilisation, consolidated the primacy of township health centres and guided patients to return to primary medical institutions. The health insurance reform should 'take the long view' in the future, and more attention should be paid to the rationality of medical service utilisation.