Investigating unmet health care needs under the National Health Insurance program in Taiwan: A latent class analysis

Medical care use and mortality rate after the onset of disability: A 6-year follow-up study based on national data in Taiwan

BACKGROUND

The onset of disability is a major health challenge, and people with disability can be particularly underserved in the years immediately after the disability onset.

OBJECTIVE

To analyze the excess mortality rate of people with recent-onset disability and their health-care utilization during the period after disability onset (1-6 years after onset).

METHODS

We used whole-population claims data from 2015 to 2020 (for approximately 23 million individuals) from Taiwan's National Health Insurance (NHI) system. These NHI claims data were linked to the National Death Records and National Disability Registry. Each individual with a disability was followed until their death or December 31, 2020. The age-standardized mortality rate and outpatient and inpatient utilization were compared between individuals with and without disability. Finally, Cox regressions were estimated to determine excess mortality for the individuals with disability.

RESULTS

The age-standardized mortality rates for the people with disability and those without disability were 1020.35/10,000 and 463.83/10,000, respectively. The people with disability utilized significantly more medical care under the NHI system. Mortality rates differed substantially among disability types. The Cox regression revealed a hazard ratio of 1.47 (95% CI = 1.46, 1.48) for all-cause mortality for people with disability, and significant sex differences in mortality risk were observed for some causes of death.

CONCLUSION

According to the excess mortality rates within 6 years of disability onset observed in this study, the NHI may not be sufficient to reduce health disparity between people with and without disabilities. In addition, specific characteristics of each type of disability should be considered.

Changes in Barriers That Cause Unmet Healthcare Needs in the Life Cycle of Adulthood and Their Policy Implications: A Need-Selection Model Analysis of the Korea Health Panel Survey Data

Using 68,930 observations selected from 16,535 adults in the Korea Health Panel Survey (2014-2018), this study explored healthcare barriers that prevent people from meeting their healthcare needs most severely during adulthood, and the characteristics that are highly associated with the barrier. This study derived two outcome variables: a dichotomous outcome variable on whether an individual has experienced healthcare needs, and a quadchotomous outcome variable on how an individual's healthcare needs ended. An analysis was conducted using a multivariable panel multinomial probit model with sample selection. The results showed that the main cause of unmet healthcare needs was not financial difficulties but non-financial barriers, which were time constraints up to a certain age and the lack of caring and support after that age. People with functional limitations were at a high risk of experiencing unmet healthcare needs due to a lack of caring and support. To reduce unmet healthcare needs in South Korea, the government should focus on lowering non-financial barriers to healthcare, including time constraints and lack of caring and support. It seems urgent to strengthen the foundation of "primary care", which is exceptionally scarce now, and to expand it to "community-based integrated care" and "people-centered care".

Characteristics Associated With Financial or Non-financial Barriers to Healthcare in a Universal Health Insurance System: A Longitudinal Analysis of Korea Health Panel Survey Data

While many studies have explored the financial barriers to healthcare, there is little evidence regarding the non-financial barriers to healthcare. This study identified characteristics associated with financial and non-financial barriers to healthcare and quantified the effects of these characteristics in South Korea, using a nationally representative longitudinal survey dataset. Overall, 68,930 observations of 16,535 individuals aged 19 years and above were sampled from Korea Health Panel survey data (2014-2018). From self-reported information about respondents' experiences of unmet healthcare needs, a trichotomous dependent variable-no barrier, non-financial barrier, and financial barrier-was derived. Sociodemographics, physical and health conditions were included as explanatory variables. The average adjusted probability (AAP) of experiencing each barrier was predicted using multivariable and panel multinomial logistic regression analyses. According to the results, the percentage of people experiencing non-financial barriers was much higher than that of people experiencing financial barriers in 2018 (9.6 vs. 2.5%). Women showed higher AAPs of experiencing both non-financial (9.9 vs. 8.3%) and financial barriers (3.6 vs. 2.5%) than men. Men living in the Seoul metropolitan area showed higher AAPs of experiencing non-financial (8.7 vs. 8.0%) and financial barriers (3.4 vs. 2.1%) than those living outside it. Household income showed no significant associations in the AAP of experiencing a non-financial barrier. People with a functional limitation exhibited a higher AAP of experiencing a non-financial barrier, for both men (17.8 vs. 7.8%) and women (17.4 vs. 9.0%), than those without it. In conclusion, people in South Korea, like those in most European countries, fail to meet their healthcare needs more often due to non-financial barriers than financial barriers. In addition, the characteristics associated with non-financial barriers to healthcare differed from those associated with financial barriers. This finding suggests that although financial barriers may be minimised through various policies, a considerable degree of unmet healthcare needs and disparity among individuals is very likely to persist due to non-financial barriers. Therefore, current universal health insurance systems need targeted policy instruments to minimise non-financial barriers to healthcare to ensure effective universal health coverage.

Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis

Diabetes-Related Preventable Hospitalization (DRPH) has been identified as an important indicator of efficiency and quality of the health system and can be modified by social determinants. However, the spatial disparities, clustering, and relationships between DRPH and social determinants have rarely been investigated. Accordingly, this study examined the association of DRPH with area deprivation, densities of certificated diabetes health-promoting clinics (DHPC) and hospitals (DHPH), and the presence of elderly social services (ESS) using both statistical and spatial analyses. Data were obtained from the 2010-2016 National Health Insurance Research Database (NHIRD) and government open data. Township-level ordinary least squares (OSL) and geographically weighted regression (GWR) were conducted. DRPH rates were found to be negatively associated with densities of DHPC (β = -66.36, p = 0.029; 40.3% of all townships) and ESS (β = -1.85, p = 0.027; 28.4% of all townships) but positively associated with area deprivation (β = 2.96, p = 0.002; 25.6% of all townships) in both OLS and GWR models. Significant relationships were found in varying areas in the GWR model. DRPH rates are high in townships of Taiwan that have lower DHPC densities, lower ESS densities, and greater socioeconomic deprivation. Spatial analysis could identify areas of concern for potential intervention.

Multidimensional factors affecting care needs in daily living among community-dwelling older adults: A structural equation modelling approach

AIMS

To develop a model illustrating the factors that can influence care needs in daily living (CNDL) of older adults and the pathways between these.

BACKGROUND

The care needs in community-dwelling older adults have increased sharply. A better understanding of the elderly's CNDL would thus help policymakers define which types of support and services should be given.

METHODS

A multicentre study with structural equation modelling was conducted in this study. We recruited 3,448 community-dwelling older adults in China by using a stratified random cluster sampling technique.

RESULTS

Physical and mental health was the strongest predictor of CNDL. Both age and living situation had positive effects on CNDL, while economic factors, social support and family support were the major risk factors for CNDL.

CONCLUSION

The presented model provides a better understanding of how to address CNDL in the targeted population. The older adults who are the oldest, low-income, non-empty nesters, and with poor self-rated health or the signs of loneliness should be firstly targeted for daily assistance.

IMPLICATIONS FOR NURSING MANAGEMENT

Using this model could provide health authorities and managers with the information of distinguishing between the priority group and the strategies for easing the caregiving burden in older adults care, and thus improving resource utilization.

Profiles of Met and Unmet Needs in People with Dementia According to Caregivers' Perspective: Results from a European Multicenter Study

OBJECTIVES

This exploratory study aimed at investigating profiles of care needs in people with mild to moderate dementia and examined variables associated with these profiles.

DESIGN

A longitudinal international cohort study.

SETTING AND PARTICIPANTS

The baseline data of 447 community-dwelling dyads of people with dementia and their caregivers from the Access to Timely Formal Care (Actifcare) Study were included for analysis.

METHODS

A latent class analysis was applied to identify profiles of needs, measured with the Camberwell Assessment of Need for the Elderly as rated by the caregiver. We examined sociodemographic (eg, relative stress scale) and clinical characteristics (eg, neuropsychiatric inventory) associated with these profiles.

RESULTS

Four distinct need profiles were identified through latent class analysis. These comprised a "no need" profile (41% of the sample), a "met psychological needs" profile (25%), a "met social needs" profile (19%), and an "unmet social needs" profile (15%). A larger impact of caregiving on the caregiver's life as indicated by a higher relative stress scale score was associated with the "unmet social needs" profile.

CONCLUSIONS AND IMPLICATIONS

In this large European sample, there was a subgroup of persons with dementia with high "unmet social needs" whose caregivers simultaneously perceived high stress in their caregiving tasks. Identification of these profiles may help provision of appropriate support for these people.

Urban-rural disparity in lower extremities amputation in patients with diabetes after nearly two decades of universal health Insurance in Taiwan

Background

To assess the prevalence of urban-rural disparity in lower extremities amputation (LEA) among patients with diabetes and to explore whether patient-related or physician-related factors might have contributed to such disparity.

Methods

This was a population-based study including patients with diabetes aged ≥55 years from 2009 to 2013. Among them, 9236 received LEA. Data were retrieved from Taiwan’s National Health Insurance (NHI) claims. A multiple Poisson regression model was also employed to assess the urban-rural difference in LEA prevalence by simultaneously taking into account socio-demographic variables and density of practicing physicians.

Results

Between 2009 and 2013, the annual prevalence of LEA declined from 30.4 to 20.5 per 10,000 patients. Compared to patients from urban areas, those who lived in sub-urban and rural areas suffered from a significantly elevated prevalence of LEA, with a prevalence rate ratio (PRR) of 1.47 (95% CI, 1.39–1.55) and 1.68 (95% CI, 1.56–1.82), respectively. The density of physicians who presumably provided diabetes care can barely explain the urban-rural disparity in LEA prevalence.

Conclusions

Although the universal health insurance has largely removed financial barriers to health care, the urban-rural disparity in LEA prevalence still exists in Taiwan after nearly two decades of the NHI program.

Associations Between Schemes of Social Insurance and Self-Rated Health Comparison: Evidence From the Employed Migrants in Urban China

Background: Little was known about the relationship between social insurance without health insurance and self-rated health comparison (SRHC). The present study aimed to investigate how social insurance schemes improved SRHC among employed migrants in urban China.

Methods: The employed migrants aged 18 and above were selected from the 2009 Rural-Urban Migration in China project. Multiple probit regression models were adopted to identify the determinants of participation of social insurance. Multiple logistic regression models were used to analyze the relationship between unemployment insurance, pension insurance, and work injury insurance and SRHC.

Results: In the sample, most of the participants were middle-aged, male, and uninsured persons. However, over 80% of them reported better SRHC. Health insurance contributed to the participation of social insurance. The social insurance schemes were associated with financial risk. Regarding the confounding effects of health insurance, the three schemes of social insurance were associated with SRHC.

Conclusions: The result indicated that not all three, but two schemes of social insurance, could improve SRHC among the employed migrants.