Factors Underlying Unmet Medical Needs: A Cross-Sectional Study

Risk of cancer-related distress by age in colorectal cancer survivors: The modulatory role of unmet support needs

To explore the modulating role of unmet support needs on the relationship between age and the prevalence of cancer-related distress in colorectal cancer (CRC) survivors. Two hundred and forty four participants completed the questionnaires; linear regression and odd ratios were calculated. Both the prevalence of needs and their interaction with age were predictors of cancer-related distress. The risk of significant clinically distress associated with physical and socio/family needs was high in both age subgroups. Higher risk of clinical distress was associated with life perspective, sexual, occupational and health care needs in the younger subgroup and with needs for specific support resources in the older subgroup. In reducing cancer-related distress, two key issues arise: (i) the importance of managing the persistent negative symptoms following CRC treatment in survivors of any age and (ii) the need for a differentiated attention to other care needs based on the survivor's age.

Assessing the Economic Impact of Cancer Care: A Study on Out-of-Pocket Expenditures and Utilization in South Korea

INTRODUCTION

Cancer remains one of the leading causes of mortality and financial distress worldwide. In South Korea, the government introduced a benefit extension system in 2013 aimed at mitigating the financial strain associated with cancer treatment. However, cancer patients continue to bear significant out-of-pocket (OOP) expenses. This study aims to quantify the incremental healthcare utilization and OOP expenditures incurred by cancer patients in South Korea.

METHODS

Utilizing data from the 2019 Korean Health Panel (KHP), we assessed cancer-related healthcare utilization and OOP expenditures. A generalized linear regression model, adjusted for demographic and socioeconomic variables, was employed. Healthcare utilization was measured by hospital admissions, outpatient visits, and emergency room (ER) visits, while OOP expenditures encompassed services including both covered and not covered by the National Health Insurance (NHI) system.

RESULTS

Cancer patients experienced 0.39 more hospitalizations, 4.91 additional outpatient visits, and 0.11 more ER visits annually compared to non-cancer patients. Their incremental OOP expenses amounted to $482.8 per year, with $340.2 attributable to inpatient services. Notable variations in healthcare utilization and expenditures were observed across different cancer types.

DISCUSSION

Despite the implementation of the benefit extension system, cancer patients continue to face considerable OOP expenses, particularly for inpatient care. With cancer incidence expected to rise, there is a pressing need for more comprehensive healthcare policies that alleviate the financial burden and prioritize cost-effective treatments for cancer patients.

CONCLUSION

This study underscores the substantial economic impact of cancer on South Korean patients. Expanding the benefit extension system and promoting cost-effective care strategies are critical to easing the growing financial pressures on cancer patients.

Socioeconomic inequality as a predictor of unmet health needs in the older adult population of Serbia

Objectives

The aim of this paper is to assess the relationship between demographic and socioeconomic predictors and the unmet health needs of the older adult population in Serbia.

Materials and methods

The study is part of the Population Health Survey of Serbia, which was conducted in the period from October to December 2019 by the Institute for Public Health of Serbia "Dr. Milan Jovanović Batut" and the Ministry of Health of the Republic of Serbia. The research was conducted on a representative sample of Serbian residents in the form of a cross-sectional study. For the purposes of this research study, data on senior citizens, aged 65 and older, were used.

Results

Multivariate regression analysis of demographic characteristics that showed statistical significance in the univariate model as a whole explains between 4.2% (Cox & Snell R Square) and 5.9% (Nagelkerke R Square) of the variance of unmet health needs and correctly classifies 66.3% cases. Statistically significant demographic predictors were the region where the respondents live, level of education, and material condition. The results of the research show that the most dominant predictors of the unmet health needs of the older adult population are related to socioeconomic inequalities, financial reasons, and predictors related to the inaccessibility of health care.

Conclusion

The results suggest that individual socioeconomic predictors have a great influence on the emergence of unmet health needs of the older adult population in Serbia. Every third older adult resident did not receive the necessary health care, most often due to financial constraints.

Unmet Health Care Needs of the Older Population in European Countries Based on Indicators Available in the Eurostat Database

Access to healthcare may affect the health of the population, especially older people. The aim of this study is to analyze the reasons and factors influencing the unmet healthcare needs (UHCN) of the older population in the context of differences between age groups for 28 European countries. A self-reported UHCN indicator obtained from Eurostat database was used. The share of people with healthcare needs reporting distance/transportation issues was significantly different in the younger and older groups, as well as in age groups within the older population. The differences in other reasons were not so considerable. Problems with UHCN were observed more often in the older population with lower rather than with higher income and with more severe activity limitations rather than with none/moderate limitations (differences statistically significant, except for income for 75+). In most countries, the UHCN dependence on income/activity limitation is higher in the age group of 15-64 than for the older population. To plan/introduce/monitor appropriate, tailored actions for improving healthcare access for the older population, a detailed analysis of the UHCN prevalence, reasons, and determinants in this age group is needed; it is insufficient to analyze only the population as a whole. Additionally, the group of older people is not homogeneous in terms of UHCN.

Factors affecting unmet medical needs of patients with diabetes: A population-based study

AIMS

The purpose of this study was to identify unmet medical needs and related factors in patients with diabetes.

DESIGN

A cross-sectional study.

METHODS

Participants included 2269 diabetes patients aged >19 years by using data from the National Health and Nutrition Examination Surveys. A complex sample design multiple logistic regression analysis was performed.

RESULTS

The study found that 8.7% of diabetes patients experienced unmet medical needs, and it was found to be higher for those who thought their self-assessed health status was unhealthy and often felt stressed in their daily life. Gender and education level had a moderating effect on income level on unmet medical needs experience.

CONCLUSION

These findings have important implications for nursing practice in the management of diabetes. Nurses can develop targeted interventions that address the specific needs of patients who are at risk for unmet medical needs, particularly those from low-income backgrounds. By considering the factors that contribute to unmet medical needs and the moderating effect of income level, nurses can improve patient outcomes and reduce the burden of diabetes.

Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data

Immigrants in Korea face numerous difficulties in seeking medical services due to language and cultural differences. Providing medical services to them could be beyond the institutional capacity of the host country owing to factors such as, physical and psychological problems, social unrest, language barriers, and problems adapting to unfamiliar environments. According to Andersen's health service use behavioral model, we used a multifaceted approach to explore the factors influencing the unmet healthcare needs of immigrants in Korea from the Korean health system. This cross-sectional secondary analysis study used data from the 2019 Korea Community Health Survey of 3524 immigrants. Their unmet healthcare needs were calculated using a complex, weighted sample design. Group differences in categorical variables were analyzed using the Rao-Scott chi-square test. Logistic regression analysis was used to analyze the association between unmet healthcare needs and ageing factors. Overall, 262 (7.4%) of surveyed immigrants experienced unmet healthcare needs. Factors influencing unmet healthcare needs were being a woman (OR = 1.41, 95% CI = 1.03-1.94), national primary livelihood security receiver (OR = 1.44, 95% CI = 1.29-1.68), stress (OR = 1.34, 95% CI = 1.26-1.45), perceived health status (poor: OR = 2.35, 95% CI = 1.58-3.52), and perceived health status (moderate: OR = 1.62, 95% CI = 1.18-2.20). Policymakers could focus on these predictors when formulating policy strategies to reduce unmet health care needs. In addition, by effectively delivering services that meet the unmet healthcare needs of immigrants, their right to health is protected.

Meeting the Need for a Discussion of Unmet Medical Need

As Europe and the world continue to battle against COVID, the customary complacency of society over future threats is clearly on display. Just 30 months ago, such a massive disruption to global lives, livelihoods and quality of life seemed unimaginable. Some remedial European Union action is now emerging, and more is proposed, including in relation to tackling “unmet medical need” (UMN). This initiative—directing attention to the future of treating disease and contemplating incentives to stimulate research and development—is welcome in principle. But the current approach being considered by EU officials merits further discussion, because it may prove counter-productive, impeding rather than promoting innovation. This paper aims to feed into these ongoing policy discussions, and rather than presenting research in the classical sense, it discusses the key elements from a multistakeholder perspective. Its central concern is over the risk that the envisaged support will fail to generate valuable new treatments if the legislation is phrased in a rigidly linear manner that does not reflect the serpentine realities of the innovation process, or if the definition placed on unmet medical need is too restrictive. It cautions that such an approach presumes that “unmet need” can be precisely and comprehensively defined in advance on the basis of the past. It cautions that such an approach can reinforce the comfortable delusion that the future is totally predictable—the delusion that left the world as easy prey to COVID. Instead, the paper urges reflection on how the legislation that will shortly enter the pipeline can be phrased so as to allow for the flourishing of a culture capable of rapid adaptation to the unexpected.

Factors and at-risk group associated with hypertension self-management patterns among people with physical disabilities: a latent class analysis

Background

People with disabilities are vulnerable to chronic diseases such as hypertension. In South Korea, over half of the population living with a physical disability suffer from hypertension. Understanding the typology of hypertension self-management patterns will assist with behavioural interventions for people with physical disabilities. Thus, this study aims to identify the typology of hypertension self-management behavioural patterns, the factors associated with the latent classes, and to recognise potential at-risk populations by comparing potential health outcomes among hypertensive adults with physical disabilities.

Methods

Data of 1551 participants were extracted from the 2017 National Survey of Disabled Persons. Latent classes were analysed using five indicators of self-management: smoking, alcohol consumption, physical activity, diet, and weight control. Determinants of self-management patterns, such as general characteristics, health-related factors, and social relationships, were identified using multinomial logistic regression. Further, health measures, such as health profile, psychological health, and patient experience, were compared.

Results

The following three latent classes were identified: “high self-management” group (40.8%), “harmful habitual behaviour” group (20.6%), and “inactive behaviour” group (38.6%). Compared with the high self-management group, the predictors of belonging to the harmful habitual behaviour group were being male, young, and single. Being female, employed, severely disabled, dependent, and unsatisfied with friendships were predictors of the inactive behaviour group. Those in the inactive behaviour group had a poor health-related quality of life, poor subjective health, depression, and unmet medical needs.

Conclusions

This study provides evidence that there are mutually exclusive subgroups of patients with hypertension regarding self-management patterns, identifies an array of predictive factors in each latent class membership, and distinguishes a high-risk group by comparing the health measures among patients with hypertension with physical disabilities. Analysing subgroups may assist in identifying and meeting the diverse needs of self-management support in hypertensive patients with physical disabilities.

Health services utilization in the Brazilian Amazon: panel of two cross-sectional studies

OBJECTIVE

To investigate the use of health services among adults living in Manaus, Amazonas.

METHODS

This was a panel of two cross-sectional studies conducted in Manaus in 2015 and 2019. Individuals aged ≥ 18 years were selected by probabilistic sampling and interviewed at home. The study outcomes were doctor visits and hospitalizations in the previous 12 months, and unmet surgical needs. Variations between 2015 and 2019 were tested using chi-squared goodness-of-fit test. Poisson regression with robust variance was employed to calculate the prevalence ratios (PR) of the outcomes with 95% confidence intervals (95%CI).

RESULTS

The surveys included 5,800 participants in total. Visits to the doctor decreased from 2015 (78.7%) to 2019 (76.3%; p < 0.001), hospital admissions increased from 2015 (7.9%) to 2019 (11.5%; p < 0.001), and unmet surgical needs decreased in the period (15.9% to 12.1%; p < 0.001). These variations were particularly observed in vulnerable individuals – sicker; poorer; non-whites; and those belonging to lower social classes, with less access to education, formal jobs, and health insurance (p < 0.05). Doctor visits were higher in people with fair health status (PR = 1.09; 95%CI 1.06–1.12), health insurance (PR = 1.13; 95%CI 1.09–1.17), and chronic diseases (p < 0.001) but lower in men (PR = 0.87; 95%CI 0.84–0.90) and informal workers (PR = 0.89; 95%CI 0.84–0.94). Hospitalizations were higher in people with worse health statuses (p < 0.001), without partners (PR = 1.27; 95%CI 1.05–1.53), and with multimorbidity (PR = 1.68; 95%CI 1.33–2.12) but lower in men (PR = 0.55; 95%CI 0.44–0.68), older adults (p < 0.001), informal workers (PR = 0.67; 95%CI 0.51–0.89), and unemployed (PR = 0.72; 95%CI 0.53–0.97). Unmet surgical needs were higher in older adults (p < 0.001), middle-class people (PR = 1.24; 95%CI 1.01–1.55), worse health statuses (p < 0.001), and chronic diseases (p < 0.001) but lower in men (PR = 0.76; 95%CI 0.65–0.86).

CONCLUSIONS

From 2015 to 2019, less people visited the doctor, more were admitted to hospitals, and less were in need of surgery or aware of that need, potentially indicating poorer access to health services.

The Unmet Medical Demand among China's Urban Residents

Our work aimed to build a reasonable proxy for unmet medical demands of China's urban residents. We combined health demand modeling and stochastic frontier analysis to produce a frontier medical demand function, which allowed us to disentangle unmet medical demands from the unobservable effects. We estimated unmet medical demands by using China's provincial dataset that covered 2005-2018. Our estimates showed that unmet medical demand at the national level was 12.6% in 2018, and regions with high medical prices confronted more unmet medical demands than regions with moderate or low medical prices during 2005-2018. Furthermore, medical prices and education were the main factors that affected unmet medical demand; therefore, policy making should pay more attention to reducing medical costs and promoting health education.

Association between the severity of new-onset depression and unmet healthcare needs of South Korean adults

Objectives

Identifying whether the demand for medical services is catered to is an important issue. Given that depression is a major contributor to the overall global burden of disease, it could affect the use of healthcare. This study aims to examine the association between the severity of new-onset depression and unmet healthcare needs among South Korean adults.

Methods

Data from 15,588 participants, derived from the 2014, 2016, and 2018 Korean National Health and Nutrition Examination Survey, were examined. Only individuals who were not diagnosed with depression was included to exclude those who visited hospitals to treat depression or were experiencing unmet healthcare needs due to depression. Depression was measured using the Patient Health Questionnaire-9 and unmet healthcare needs acted as the dependent variable. A multiple/multinomial logistic regression analysis was built to analyze the association between the variables.

Results

Individuals with severe depression had a higher risk of having unmet healthcare needs compared to those without (men: adjusted OR = 2.05, 95% CI = 1.40–3.00; women: adjusted OR = 2.20, 95% CI = 1.72–2.82). White-collar men with severe depression also had a higher risk of having unmet healthcare needs (adjusted OR = 9.72, 95% CI = 4.73–20.00). Individuals with severe depression had a higher risk of having unmet healthcare needs due to economic hardship than those without depression (men: adjusted OR = 3.01, 95% CI = 1.76–5.14, women: adjusted OR = 2.93, 95% CI = 1.96–4.38).

Conclusions

This study identified a significant relationship between the severity of new-onset depression and the risk of having unmet healthcare needs among South Korean adults. Our study suggests that having severe depression contributed to a higher risk of unmet healthcare needs. Proper care to manage depression can be promoted through future intervention programs that alleviate the risk of having unmet healthcare needs.

Factors affecting unmet healthcare needs of low-income overweight and obese women in Korea: analysis of the Korean National Health and Nutrition Examination Survey 2017

Purpose

The purpose of this study was to explore unmet healthcare needs among low-income overweight and obese women and to identify the factors affecting unmet healthcare needs.

Methods

The study was a secondary analysis of data from the 2017 Korea National Health and Nutrition Examination Survey. A final sample of 388 out of 8,127 participants was analyzed using complex descriptive statistics, the chi-square test, the independent t-test, and logistic regression.

Results

The mean age of the participants was 66.51±1.05 years. Unmet healthcare needs were experienced by 19.4% of low-income overweight and obese women. Women with depression, stress, and poor self-reported health status were significantly more likely than their counterparts to experience unmet healthcare needs. Poor self-reported health status was confirmed to be related to unmet health needs in low-income overweight and obese women (odds ratio, 2.65; p=.011).

Conclusion

The study provides the novel insight that the unmet healthcare needs of low-income overweight and obese women were influenced by self-reported health status. Healthcare providers should make efforts to develop strategies to reduce unmet healthcare needs among low-income overweight and obese women, who constitute a vulnerable population.

Unmet need for primary healthcare and associated individual and household-level factors in Kenya: results from a national survey

OBJECTIVE

To determine the prevalence of unmet need for primary healthcare and associated individual and household-level factors in Kenya.

DESIGN

The data for this study are drawn from the 2016 Kenya Integrated Household Budget Survey (KIHBS). A multistage sampling technique involving a systematic selection of clusters at the national level and final selection of households was used.

SETTING

This study was conducted in Kenya. The KIHBS is a nationally representative survey on a wide range of indicators to assess the progress made in improving the living standards of the population at the national level.

PARTICIPANTS

A total of 9447 households comprising 15 539 household members who reported a sickness or injury over the 4 weeks preceding this survey were included in this study. The study respondents comprised of the household heads.

PRIMARY OUTCOME MEASURE

The primary outcome of this study is unmet need for primary healthcare defined as an unexpressed demand for primary healthcare following a reported sickness or injury over the 4 weeks preceding this survey.

RESULTS

About one in every five study participants experienced an unexpressed demand for primary care. The odds of having unmet need for primary healthcare were 68% higher among participants without health insurance coverage compared with those with health insurance (adjusted OR 1.68; p<0.001; 95% CI 1.34 to 2.09) and 45% higher among households headed by single or unmarried persons compared with the those who were in a marital union (adjusted OR 1.45; p<0.05; 95% CI 1.06 to 1.98).

CONCLUSIONS

Our findings show that there is still a considerable unexpressed demand for primary care services despite widespread implementation of Universal Health Coverage (UHC) in Kenya, with households without a health insurance cover bearing the highest burden. Therefore, the design of UHC reforms in Kenya should focus on embedding social health protection to escalate the demand for primary healthcare services.

Associations between Dental Checkups and Unmet Dental Care Needs: An Examination of Cross-Sectional Data from the Seventh Korea National Health and Nutrition Examination Survey (2016-2018)

To identify gender- and age-related associations between adult dental checkups and unmet dental care needs, we analyzed data of 14,000 participants, from the Seventh Korea National Health and Nutrition Examination Survey (2016–2018). Data were collected via self-report questionnaires and interviews. The complex sample chi-square test and multiple logistic regression analysis indicated that 31.7% of participants had unmet dental care needs. Within the previous 12 months, 56.5% did not undertake dental checkups, and 29.3% did not use a dental service. Odds ratios (ORs) of the unmet dental needs were 8.87 (confidence interval (CI) = 7.80–10.09, p < 0.001) for those who did not use dental services and 1.28 (CI = 1.13–1.44, p < 0.001) for those who did not have dental checkups. Significant age-dependent associations between those not receiving dental checkups and the rate of unmet dental care included men and women aged 50–59 years and women ≥70 years. However, unmet dental care needs for men aged ≥70 years not undergoing dental checkups were not statistically significant (p = 0.311). Overall, it was found that the use of dental service and dental checkups were the influencing factors for unmet dental care needs.

Socioeconomic determinants of unmet need for outpatient healthcare services in Iran: a national cross-sectional study

BACKGROUND

Unmet need is a critical indicator of access to healthcare services. Despite concrete evidence about unmet need in Iran's health system, no recent evidence of this negative outcome is available. This study aimed to measure the subjective unmet need (SUN), the factors associated with it and various reasons behind it in Iran.

METHODS

We used the data of 13,005 respondents over the age of 15 from the Iranian Utilization of Healthcare Services Survey in 2016. SUN was defined as citizens whose needs were not sought through formal healthcare services, while they did not show a history of self-medication. The reasons for SUN were categorized into availability, accessibility, responsibility and acceptability of the health system. The multivariable logistic regression was used to determine significant predictors of SUN and associated major reasons.

RESULTS

About 17% of the respondents (N = 2217) had unmet need for outpatient services. Nearly 40% of the respondents chose only accessibility, 4% selected only availability, 78% chose only responsibility, and 13% selected only acceptability as the main reasons for their unmet need. Higher outpatient needs was the only factor that significantly increased SUN, responsibility-related SUN and acceptability-related SUN. Low education was associated with higher SUN and responsibility-related SUN, while it could also reduce acceptability-related SUN. While SUN and responsibility-related SUN were prevalent among lower economic quintiles, having a complementary insurance was associated with decreased SUN and responsibility-related SUN. The people with basic insurance had lower chances to face with responsibility-related SUN, while employed individuals were at risk to experience SUN. Although the middle-aged group had higher odds to experience SUN, the responsibility-related SUN were prevalent among elderly, while higher age groups had significant chance to be exposed to acceptability-related SUN.

CONCLUSION

It seems that Iran is still suffering from unmet need for outpatient services, most of which emerges from its health system performance. The majority of the unmet health needs could be addressed through improving financial as well as organizational policies. Special attention is needed to address the unmet need among individuals with poor health status.

The Effects of Social Networks of the Older Adults with Limited Instrumental Activities of Daily Living on Unmet Medical Needs

This study was conducted to identify the effects of social networks on unmet medical needs among older adults with limited instrumental activities of daily living (IADL) who live in a community. This study analyzed data from 2281 older adults with limited IADL from the 2017 National Survey of Older Koreans. Data were analyzed using descriptive statistics, X2 tests, t-tests, and logistic regression analysis. About 73.0% of the subjects were female and 15.8% of the subjects had experienced unmet medical needs. The predictors of unmet medical needs according to gender are as follows: annual household income, participation in social activities, and physical support for male subjects and annual household income, number of chronic diseases, living alone in a household, living with others in a household, frequency of contacting close friends, and emotional support for female subjects. The findings of this study will be utilized as a basis for establishing relevant measures to enable older adults to receive proper medical services by heightening the understanding of the gap between medical service use and the medical needs of older adults with limited IADL.

Indicators of an Integrated Home Care Model Shaped by the Needs of Patients Discharged from the Emergency Department

Introduction:

Developing community care models aims to satisfy the needs of patients’ in-home care comprehensively. This is crucial to decrease adverse events and prevent rehospitalization.

Methods:

A cross-sectional study was conducted among 200 emergency department patients (EDPs) and 200 general practice patients (GPPs). The modified version of the Camberwell Assessment of Need Short Appraisal Schedule (CANSAS), the Health Behavior Inventory (HBI), the Generalized Self-Efficacy Scale (GSES), the Patient Satisfaction Questionnaire (PSQ), and the Multidimensional Health Locus of Control Scale (MHLCS) were used.

Results:

The study indicated the higher level of unmet needs in EDPs than in the population of GPPs (p = 0.008). The unmet needs increased risk of hospitalization in both groups: OR = 0.28 [95%CI 0.15–0.52] for EDP and OR = 0.33, [95%CI 0.17–0.62] for GPPs groups. We also found a significant relationship between the low levels of needs satisfaction and social-demographic variables, including health profile and the level of health behavior, generalized self-efficacy, health locus of controls, and healthcare measures in general practice.

Discussion and Conclusion:

We suggest that the identified factors should be included into the integrated community care model to advance satisfaction of patients’ needs, especially in patients discharged from an emergency department.

Validation of the Needs Assessment of Family Caregivers-Cancer scale in an Asian population

BACKGROUND

The Needs Assessment of Family Caregivers- Cancer (NAFC-C) scale is shown to have adequate psychometric properties in assessing family caregiver needs during the cancer journey and its psychometric properties have been studied only in Western populations. This study sought to validate the NAFC-C in an Asian population for wider applicability.

METHODS

Participants (n = 363) completed questions on sociodemographics, the Depression Anxiety Stress Scale, the Zarit Burden Interview, the Caregiver Quality of Life Index-Cancer scale, and the NAFC-C.

RESULTS

Results revealed good internal consistency, test-retest reliability, and concurrent validity of the NAFC-C. Confirmatory factor analysis did not demonstrate a good fit of the NAFC-C in our sample. Exploratory factor analysis revealed a similar factor structure in this study's population. Further reliability and validity analyses with the EFA factor structure demonstrated similar reliability and validity assessments.

CONCLUSIONS

The NAFC-C is shown to be applicable in an Asian population. It would be a useful instrument for determining family caregivers' needs and to inform future interventions to address those needs and improve or maintain quality of life in both patients and their caregivers.

Unmet Medical Needs of Patients with Benign Prostate Enlargement

This study aimed to analyze the factors affecting the unmet medical needs of patients with benign prostate enlargement (BPE) based on Andersen's behavioral model. The data were taken from the 2009-2016 Korea Health Panel Study and 3003 participants were used for analysis. "Unmet medical needs" was used as a dependent variable. Independent variables were predisposing variables: age, educational attainment, and marital status; enabling factors: income, job type, and insurance type; and need factors: lying in a sickbed, activity limitation, subjective health status, and having chronic diseases. Results showed that younger patients experienced a higher probability of unmet medical needs. Those with higher educational attainment had a lower chance of experiencing unmet medical needs. Patients with national health insurance were less likely to experience unmet medical needs. In addition, patients who experienced lying in a sickbed had a higher probability of experiencing unmet medical needs. Therefore, in order to reduce the unmet medical needs of patients with BPE, it is necessary to allow patients to be treated early and give them accurate information about the disease. In addition, access to medical care should be strengthened through continuous care focused on primary care.