Skip Navigation
Skip to contents

PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > Osong Public Health Res Perspect > Forthcoming articles > Article
Original Article
Factors influencing satisfaction with medical services in medically underserved populations: an analytical cross-sectional study at a free medical clinic in the Republic of Korea
Joo Hyun Kim1orcid, Yeon Jeong Heo2orcid, Jae Bok Kwak3orcid, Samil Park3orcid, Curie Ahn4orcid, So Hee Ahn5orcid, Bumjo Oh6orcid, Jung Sik Lee3orcid, Jun Hyun Lee7orcid, Ho Young Lee8orcid

DOI: https://doi.org/10.24171/j.phrp.2024.0325
Published online: March 17, 2025

1Department of Nursing, Kangwon National University, Chuncheon, Republic of Korea

2Department of Nursing, Hallym Polytechnic University, Chuncheon, Republic of Korea

3Raphael Nanum Foundation, Seoul, Republic of Korea

4Division of Nephrology, National Medical Center, Seoul, Republic of Korea

5Seoul National University College of Medicine, Seoul, Republic of Korea

6Department of Family Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea

7Department of Medicine, Catholic Kwandong University, Gangneung, Republic of Korea

8Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

Corresponding author: Yeon Jeong Heo Department of Nursing, Hallym Polytechnic University, 48 Janghak-gil, Dong-myeon, Chuncheon 24210, Korea E-mail: far1555@hsc.ac.kr
• Received: November 30, 2024   • Revised: February 18, 2025   • Accepted: February 23, 2025

© 2025 Korea Disease Control and Prevention Agency.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

  • 390 Views
  • 20 Download
  • Objectives
    This study aimed to explore factors influencing satisfaction with medical services among medically underserved populations at the free medical clinic, providing data to improve free medical services for these populations.
  • Methods
    We employed a descriptive correlational study design involving 112 individuals (aged 19 years and older) from medically underserved populations who visited the clinic. Data were collected through face-to-face surveys from September to October 2023, and statistical analyses (t-tests, analysis of variance, Pearson correlation, and hierarchical multiple regression) were used to identify key predictors of satisfaction.
  • Results
    Perceived support from healthcare providers emerged as the strongest predictor of satisfaction with medical services, demonstrating a significant positive association. While social support was positively correlated with perceived support from healthcare providers, it did not independently predict satisfaction.
  • Conclusion
    These findings underscore the importance of healthcare provider and social support in increasing satisfaction with medical services among medically underserved populations. Developing tailored healthcare programs and specialized healthcare provider training are essential strategies to improve healthcare access and outcomes for these vulnerable groups.
The late 1990s economic crisis in the Republic of Korea precipitated widespread unemployment, dramatically increasing the number of individuals experiencing homelessness and contributing to the expansion of the urban poor, collectively described as medically underserved populations [1]. Economic instability and growing socioeconomic inequality further exacerbated labor market polarization, leading to an increase in the impoverished population [2]. Although the Republic of Korea’s social welfare system provides shelters and meal assistance, healthcare services remain inadequate. Many individuals experiencing homelessness lack the necessary documentation or stable residency required for coverage under the National Health Insurance program, restricting their ability to obtain essential medical care [3].
Despite a 21% decline in the number of people experiencing homelessness in the Republic of Korea from 2016 to 2021, substantial challenges persist. Urban centers such as Seoul, where access to healthcare remains a major issue, are particularly affected [4]. Internationally, similar barriers exist, with those experiencing homelessness facing economic hardship, stigma, and systemic inefficiencies that impede healthcare utilization [5]. Even in countries with universal healthcare systems, administrative hurdles and discrimination restrict access [6,7].
The coronavirus disease 2019 (COVID-19) pandemic exacerbated healthcare disparities, increasing the proportion of individuals avoiding medical care despite being ill [4]. Many public hospitals were repurposed for the COVID-19 response, further limiting healthcare access for marginalized groups [3]. Studies have highlighted financial instability, stigma, and negative healthcare experiences as key barriers to medical service utilization, which result in delayed treatments and preventable hospitalizations [5,6,8,9].
Traditional healthcare systems are designed for populations with stable residency and health insurance, which creates barriers for people experiencing homelessness [10,11]. Non-governmental organizations help bridge these gaps by providing healthcare outreach services that facilitate access and reduce emergency department visits [12,13]. Research indicates that integrating community-based programs with formal healthcare systems significantly improves health outcomes [12].
Consequently, the Republic of Korea has developed community-based initiatives to improve healthcare access for individuals experiencing homelessness. The free medical clinic, established in 1997, has consistently provided free healthcare services, including mobile outreach initiatives and regional support. Since March 2021, it has offered weekly free medical services in Seoul, establishing it as one of the few clinics to continuously serve medically underserved populations [4].
This study aims to analyze factors influencing satisfaction with medical services at the free medical clinic, as well as to provide foundational data to support free healthcare services for medically underserved populations. By identifying key determinants of patient satisfaction, this research seeks to improve healthcare accessibility and quality for marginalized groups and to offer insights for policymakers and healthcare providers.
Study Design
This analytical cross-sectional study examines factors influencing patient satisfaction with medical services at the free medical clinic.
Setting and Sample
This study targeted men and women aged 19 years and older who had visited the free medical clinic at least once and who had no communication difficulties. Participants who voluntarily provided written consent were surveyed face-to-face. A convenience sampling method was used based on the accessibility and availability of participants at the clinic.
Using G*Power 3.1 (University of Düsseldorf), the sample size was determined for the multiple linear regression analysis of factors influencing patient satisfaction. Assuming an effect size of 0.15, a significance level of 0.05, and a power of 0.90, the minimum required sample size was calculated to be 99 participants [14]. Considering a potential 20% dropout rate, 124 participants were initially selected. However, challenges in participant recruitment and incomplete responses led to the exclusion of 12 surveys, yielding a final dataset of 112 participants.
Measurements/Instruments
The survey included 16 items on general characteristics, 10 items from the Mini-Mental State Examination [15], 20 items on social support, 8 items on perceived medical support [16], and 29 items on satisfaction with medical services [17]. The last of these categories was subdivided into 6 questions about facility and environment, 6 on medical skills and expertise, 4 on staff friendliness, 7 on patient care and service, 4 on procedure convenience, and 2 on other relevant aspects. The survey also contained 2 questions on educational needs, 9 on satisfaction with medical or pharmacy services, and 1 on additional medical services desired.

Demographic characteristics

Demographic and other factors collected from participants included gender, age, marital status, highest level of education, religion, regular monthly income, permanent residence status, temporary accommodations, permanent residence location, family cohabitation, subjective health status, smoking and alcohol consumption, and current health issues. Additionally, respondents were asked about the most favorable aspect of visiting the Raphael Free Clinic.

Mini-Mental State Examination

The Mini-Mental State Examination comprises 10 items [15], each scored 0 for an incorrect response and 1 for a correct one. Higher scores indicate better cognitive function. In this study, all 112 participants scored 9 or above [15], and data from all participants were included in the final analysis.

Social support

Social support was measured using 20 items [15] on a 4-point scale, where higher scores indicate a higher level of support. Item 15, which pertained to children, was excluded as it was generally not applicable to participants. Thus, 19 items were ultimately included in the analysis. The reliability of the instrument in this study, as determined by the Cronbach α, was 0.93.

Perceived support from medical personnel

Perceived support from medical professionals was assessed using 8 items from the 16-item social support scale developed by Tae [16]. This scale consists of 2 sections: family support and medical personnel support. Each item is rated on a 5-point scale, with higher scores reflecting greater perceived support. Item 8, concerning inpatients, was removed, leaving 7 items for analysis. The reliability of the instrument, as measured by the Cronbach α, was 0.84.

Satisfaction with medical services

Satisfaction with medical services was assessed using a modified questionnaire originally created by Cho [17], adapted to suit the context of the Raphael Clinic. The questionnaire comprises 24 items across 6 categories: facilities and environment, medical skills and expertise, staff friendliness, patient care and services, procedure convenience, and 2 additional items concerning reuse and recommendation. Each item is rated on a 5-point scale, with higher scores indicating greater satisfaction. The reliability of the questionnaire in this study, as measured by Cronbach α values, was 0.87 for facilities and environment, 0.87 for medical skills and expertise, 0.91 for staff friendliness, 0.90 for patient care and services, 0.72 for procedure convenience, 0.60 for reuse and recommendation, and 0.94 for overall satisfaction.

Educational needs

Educational needs were evaluated using 2 items: one regarding education on the chronic disease management of diabetes and hypertension, and another pertaining to education on oral health management. Each item was measured on an 11-point scale, ranging from 0 (“not needed at all”) to 10 (“very much needed”), with higher scores thus indicating greater educational needs.

Satisfaction with clinic or pharmacy services

Satisfaction with clinic or pharmacy services was assessed using 9 items, each measuring satisfaction with specific services: pharmacy, reception, pre-examination room, general consultation, internal/family medicine consultation, orthopedic (rehabilitation) consultation, urology consultation, dermatology consultation, and neurosurgery consultation. Each item was rated on an 11-point scale, ranging from 0 (“not satisfied at all”) to 10 (“very satisfied”), with higher scores thus indicating greater satisfaction.

Additional medical services desired

Participants were surveyed regarding additional medical services they desired, encompassing obstetrics and gynecology, ophthalmology, otolaryngology, dentistry, neuropsychiatry, neurology, and surgery.
For items not directly derived from previously validated instruments, expert consultation was sought with public health and healthcare professionals to refine the content validity. Following expert feedback, modifications were made to the “satisfaction with clinic/pharmacy services” section to better clarify the evaluation criteria, such as friendliness, the clarity of medical explanations, and wait times.
A pilot test was conducted with a small cohort of participants outside the principal study sample to ensure the clarity and appropriateness of the survey items. Based on the results, additional instructions were integrated to aid respondents in assessing clinical service satisfaction. Additionally, a directive was added to the question regarding additional medical services desired, indicating that multiple selections were permitted.
As satisfaction and needs for additional services were gauged using simple rating scales that reflected subjective evaluations, formal reliability testing was deemed unnecessary. These adjustments ensured that the questionnaire was comprehensible, user-friendly, and relevant to the study population.
Data Collection/Procedure
Data were collected from September 1, 2023, to October 27, 2023. After approval was obtained from the director of the free medical clinic, participants were enlisted through a notice posted on the bulletin board inside Myeong-dong Cathedral. Surveys were distributed in written form, and data collection occurred in the reception area on the first floor of the clinic.
The researcher outlined the survey procedure to participants and remained available to address any queries regarding the items. To minimize potential bias, however, participants completed the survey independently without external assistance. The survey required approximately 10 to 15 minutes to complete, and participants received a modest token of appreciation upon submission.
Data Analysis
The collected data were analyzed using IBM SPSS for Windows ver. 25.0 (IBM Corp.). Descriptive statistics, including frequency, mean, and standard deviation, were computed for all study variables. Independent t-tests and one-way analysis of variance (ANOVA) were applied to assess differences in participants’ mental states, levels of social support, perceived support from medical personnel, and satisfaction with medical services. The Scheffe test was utilized for post-hoc comparisons.
Pearson correlation analysis was applied to investigate relationships between key study variables. Hierarchical multiple linear regression analysis was employed to delineate factors influencing satisfaction with medical services, with the total satisfaction score serving as the continuous dependent variable. Dummy coding was applied to nominal-scale variables, designating the category with higher satisfaction levels as the reference.
Ethical Considerations
This study was approved by the Kangwon National University Institutional Review Board (KWNUIRB-2023-05-001-004). Participant recruitment was managed by independent research staff with no direct clinical relationship to the respondents, thereby minimizing undue influence. The recruiters were trained research personnel, not clinic staff or healthcare providers. Informed consent was obtained after researchers detailed the study’s purpose, procedures, potential risks and benefits, voluntary nature of participation, withdrawal options, and data protection measures. Participants were given 10 to 15 minutes to review the consent form before signing to ensure a thorough understanding.
Eligibility was confirmed using de-identified clinic records to verify prior visits. These records were accessed solely for verification purposes, and no identifiable personal data were included in the study dataset. The demographic information collected included gender, age, marital status, education level, religion, income, housing status, and temporary housing, along with general residential location (e.g., city or district) to ensure anonymity. A designated member of the research team, trained in data protection protocols, anonymized the personal data. This process ensured the complete removal of all personal identifiers before analysis began. Strict confidentiality protocols were enforced, and clinical data were accessed only for eligibility verification, without the inclusion of personal identifiers. All anonymized data were securely stored and used exclusively for research purposes.
General Characteristics of the Study Population
The study included 112 participants: 93 men (83.0%) and 19 women (17.0%), with an average age of 74.0 years. The majority were married (62 participants, 55.4%). Among the participants, 47 (42.0%) had completed high school, and 49 (43.8%) reported no religious affiliation, while 34 (30.4%) identified as Christian. Thirty-five participants (31.3%) reported having a source of income, with an average monthly income of 800,000 Korean won (approximately US$553.29 as of February 5, 2025). Most participants (103, 92.0%) had permanent residences, with 83 (74.1%) living in Seoul and 20 (17.9%) in Gyeonggi Province. Of those without permanent residences, 1 participant (11.1%) was experiencing homelessness, 5 (4.5%) lived in a small room (jjokbang), and 3 (2.7%) had other temporary accommodations, such as staying with relatives or in a goshiwon (a small, affordable dormitory). Fifty-five participants (49.1%) lived with their families, and the average subjective health status was 3.25±1.00 out of 5, indicating moderate perceived health. Most respondents were non-smokers (106 participants, 94.6%) and abstained from alcohol (83 participants, 74.1%). Common health issues included hypertension (61 participants, 58.7%), arthritis (47 participants, 45.2%), benign prostatic hyperplasia (39 participants, 37.5%), diabetes (29 participants, 27.9%), sciatica (23 participants, 22.1%), hyperlipidemia (22 participants, 21.2%), and eye diseases (15 participants, 14.4%) (Table 1).
Social Support, Support from Medical Professionals, and Satisfaction with Medical Services
The average score for social support was 32.63±11.10 out of 76 points, while for support from medical professionals, the average score was 22.15±7.08 out of 35 points. Satisfaction with medical services was rated as follows: facilities and environment, 19.78±3.57 out of 25 points; medical skills and professionalism, 19.95±3.56 out of 25 points; staff kindness, 13.01±2.01 out of 15 points; patient care and services, 24.82±3.84 out of 30 points; procedure convenience, 10.83±2.85 out of 15 points; and intention to reuse and recommend to others, 8.14±1.70 out of 10 points. Overall, satisfaction with medical services received a mean score of 96.53±13.64 out of 120 points (Table 2).
Differences in Social Support, Perceived Support from Healthcare Providers, and Satisfaction with Medical Services According to General Characteristics
One-way ANOVA results indicated statistically significant differences in social support based on marital status (F=2.90, p=0.025), residence status (F=2.02, p=0.046), and family cohabitation (F=3.51, p=0.001). However, the Scheffe post-hoc test revealed no statistically significant differences among specific groups, potentially due to its conservative nature in controlling for multiple comparisons and reduced sensitivity in smaller sample sizes. A significant disparity was observed regarding satisfaction with medical services by gender (t=−2.59, p=0.011), with female participants reporting a higher mean satisfaction score (103.74±10.90) than male respondents (95.05±13.72) (Table 3).
Correlations between Variables
Correlation analysis of the main variables revealed a positive relationship between social support and perceived support from healthcare providers (r=0.34, p<0.001). Additionally, perceived support from healthcare providers was positively correlated with satisfaction with medical services (r=0.37, p<0.001) (Table 4).
Factors Influencing Satisfaction with Medical Services
To identify the factors affecting satisfaction with medical services, multiple regression analysis was applied (Table 5). Dummy variables were generated for nominal-scale variables, using the category with higher satisfaction as the reference. The reference categories were female gender, presence of income, living in a residence, and cohabitation with family. The Durbin-Watson statistic was 2.03, confirming the assumption of independence. Tolerance values ranged from 0.76 to 0.96, well above the threshold of 0.1, while variation inflation factor values ranged from 1.05 to 1.31, all below the critical value of 10. These findings indicated the absence of multicollinearity issues and confirmed the analysis’s suitability. The analysis identified perceived support from healthcare providers (β=0.35, p=0.001) as a significant predictor of satisfaction with medical services. The regression model displayed statistical significance (F=3.39, p=0.003) and accounted for 13.4% of the variance in satisfaction with medical services (Table 5).
Additional Analysis

Satisfaction by department

Satisfaction levels across various departments and pharmacy services were measured on a 10-point scale. The highest satisfaction was reported for internal/family medicine services, with an average score of 7.82±1.86. Pharmacy services received the lowest satisfaction rating, with an average score of 7.22±2.39. The other departments’ satisfaction scores were as follows: urology, 7.70±2.11; overall clinic services, 7.66±2.07; dermatology, 7.64±2.19; neurosurgery, 7.63±2.43; preliminary examination, 7.59±2.20; reception, 7.51±2.22; and orthopedic (rehabilitation), 7.44±2.10. Regarding additional services, 38 participants (53.5%) expressed a preference for dental services, while 33 participants (46.5%) preferred ophthalmology services.

Educational needs

Educational needs were assessed on a 10-point scale. The mean score for education on the management of chronic diseases, such as diabetes and hypertension, was 6.36±2.98. The need for oral health education was marginally higher, with an average score of 6.58±3.25.
This study investigated factors influencing patient satisfaction with medical services among individuals experiencing homelessness and the urban poor at the free medical clinic, providing foundational data to improve the services offered by such clinics. It examined various elements affecting medical service experiences, including general characteristics, social support, and healthcare provider support. Notably, the study explored economic, social, and psychological barriers to healthcare access and proposed strategies to increase satisfaction. By identifying essential support measures, the research underscores the key role of free clinics in improving healthcare access and quality of life for medically underserved populations.
The primary health issues among participants were hypertension, arthritis, benign prostatic hyperplasia, diabetes, sciatica, hyperlipidemia, and eye diseases. These findings align with those reported by Han and Yoon [9], who documented similar health conditions among residents of homeless shelters, including high rates of alcohol-related diseases, hypertension, diabetes, gastrointestinal disorders, dental problems, tuberculosis, and musculoskeletal disorders. They also noted the inadequacy of medical services and low satisfaction with community healthcare. Persistent health challenges and barriers to accessing medical care remain prevalent among those experiencing homelessness [18]. Wiens et al. [19] demonstrated that inadequate diabetes management in this population contributes to increased complications. This study reaffirms that chronic conditions such as hypertension, arthritis, and diabetes are of paramount concern, emphasizing the need for strategies that improve access and ensure sustained care.
This study revealed that social support among individuals experiencing homelessness and the urban poor was low, with an average score of 32.63±11.10 out of a potential 76, consistent with previous findings [20]. Limited social networks, economic poverty, stigma, and mental distress adversely affect the health and quality of life of these individuals [20]. Furthermore, the absence of social connections hinders their ability to obtain necessary support [20]. Therefore, providing financial assistance and stable housing is crucial for improving healthcare satisfaction and overall well-being [21]. In addition to healthcare access programs, policies that promote economic stability are essential.
Support from healthcare providers was quantified at 22.15±7.08 out of 35, underscoring its beneficial effect on healthcare satisfaction. Hauff and Secor-Turner [18] affirmed that support from providers improves access to healthcare among those experiencing homelessness. Similarly, Park and Kim [1] emphasized the significance of self-efficacy and emotional support, advocating for psychosocial interventions within healthcare programs. This study supports these conclusions by demonstrating that trust and support from healthcare providers are essential for increasing satisfaction with healthcare services among individuals experiencing homelessness and the urban poor. However, since the score for healthcare provider support was not as high as desired, there is room for further improvement. In addition to social and provider support, emotional support and programs that boost self-efficacy are vital for improving the health of this demographic.
Satisfaction with healthcare services was high across all evaluated categories, including facilities, staff friendliness, medical expertise, and convenience. The overall satisfaction score at the free medical clinic averaged 96.53±13.64 out of 120, reflecting a positive evaluation. Individuals experiencing homelessness and the urban poor face substantial economic and social barriers that impede their access to healthcare [18]. Economic instability remains a significant challenge, emphasizing the need for systematic support. Improvements in healthcare quality and the development of a comprehensive management system are key to satisfaction and health outcomes. Developing programs that facilitate easier access and address the specific needs of these populations will markedly improve their healthcare experiences [18].
Social support varied considerably based on marital status, housing stability, and cohabitation with family members, corroborating Lee and Kim [2]’s findings that familial relationships significantly influence social support. The presence of family members in the home positively impacted psychological stability and health. Individuals experiencing homelessness and the urban poor often struggle to meet basic needs, which in turn limits their access to healthcare and social services [22].
Healthcare satisfaction varied by gender, with male respondents reporting lower satisfaction, possibly due to more severe health issues and weaker social networks. Barriers to healthcare access include unstable housing, economic hardship, limited health literacy, and stigma [23]. Additionally, healthcare providers face challenges such as resource shortages and systemic obstacles, including transportation difficulties and overloaded systems [24]. These barriers hinder many individuals from effectively utilizing healthcare services [23]. Nevertheless, access to medical services and community support significantly increases overall satisfaction [25], highlighting the need for structured programs that provide continuous and accessible healthcare support for medically underserved populations.
Correlation analysis revealed that social support was positively associated with healthcare provider support; however, in the regression model, it did not directly affect satisfaction with medical services. Instead, support from healthcare providers was identified as the primary determinant of satisfaction, emphasizing its pivotal role in enhancing healthcare utilization. This finding suggests that although social support may augment the perception of provider support, its influence on satisfaction is likely indirect.
Lee and Kim [2] observed that individuals with prolonged homelessness and repeated job loss exhibited reduced self-efficacy, which was positively correlated with healthcare satisfaction. These results indicate that psychosocial factors, particularly social support, are vital for engaging with healthcare services. Future studies should investigate whether social support moderates or mediates the relationship between provider support and satisfaction, using additional statistical analyses such as mediation or interaction modeling.
Interventions that strengthen both social and provider support could improve the healthcare experiences of individuals experiencing homelessness and the urban poor. However, because this study did not include interaction terms in the regression analysis, further research is needed to determine whether social support modifies the relationship between provider support and satisfaction.
Analysis of factors influencing satisfaction with healthcare services revealed that support from healthcare providers had the strongest impact (β=0.35, p=0.001). Consistent with the findings of Hauff and Secor-Turner [18], this result underscores the vital role of provider support in enhancing healthcare access and satisfaction among those experiencing homelessness. The regression model (F=3.39, p=0.003) accounted for 13.4% of the variance in service satisfaction, highlighting the need to strengthen provider-patient relationships. Miller et al. [26] identified “accessibility,” “person-centered care,” and “respect and empathy” as key priorities in healthcare services for individuals experiencing homelessness, corroborating our finding that perceived provider support substantially influences satisfaction. Moreover, studies by Clark et al. [27] and Perna et al. [28] suggest that continuous care, multidisciplinary approaches, and person-centered services improve overall well-being. A study by Bell et al. [29] further corroborates the role of accessible healthcare in meeting the needs of vulnerable populations. Increasing healthcare provider support and expanding patient-centered programs are crucial for addressing systemic barriers and improving health outcomes for people experiencing homelessness and the urban poor. Policies and programs that foster respect, empathy, and continuous care should increase satisfaction with healthcare services and yield long-term health benefits [3].
Satisfaction with medical and pharmacy services varied in this study. Internal/family medicine received the highest score (7.82±1.86 out of 10), while pharmacy services scored the lowest (7.22±2.39). Research by Farmer et al. [30] stressed the essential role of pharmacists in supporting medication adherence among individuals experiencing homelessness, who frequently face challenges in understanding their prescriptions. Proper counseling on usage, side effects, and drug interactions can improve adherence and treatment outcomes. By modifying packaging or simplifying medication regimens, pharmacists can further support patient compliance. Increased pharmacist involvement is anticipated to improve both health management and overall satisfaction with healthcare services for people experiencing homelessness and the urban poor.
Developing targeted strategies for those experiencing homelessness is essential. Expanding dental and ophthalmology services in free or mobile clinics through collaborations with specialists and volunteer recruitment can increase access to care. Strategic clinic placement and mobile medical units can further improve accessibility for these individuals [31]. Additionally, continuous assessment of healthcare needs and integration of patient feedback into service enhancements are imperative. These measures will ensure timely medical care, leading to improved health outcomes and overall well-being for individuals experiencing homelessness and the urban poor.
Educational needs regarding the management of chronic diseases, such as diabetes and hypertension, received a mean rating of 6.36±2.98 out of 10. The need for oral health management scored slightly higher, at 6.58±3.25. Farmer et al. [30] observed that individuals experiencing homelessness could effectively manage their health when provided with both practical and emotional support, underscoring the indispensable role of such support in program efficacy. Thorndike et al. [32] highlighted the necessity of trust-building and patient-centered educational programs, arguing that tailored education could significantly increase engagement with healthcare services. The study advocates for comprehensive educational programs that incorporate both practical and emotional support [24], emphasizing chronic disease and oral health management through audiovisual resources and hands-on practice. Programs should prioritize accessibility and sustainability, while also incorporating healthcare professionals, social workers, and psychological counselors in a multidisciplinary approach. Regular feedback and support for voluntary participation can increase program effectiveness, ultimately empowering those experiencing homelessness and the urban poor to manage their health and improve their quality of life.
This study systematically examined the barriers that prevent people experiencing homelessness and the urban poor from accessing healthcare services, identifying key economic, social, and legal constraints. These findings provide insights for developing practical interventions to enhance healthcare access. By analyzing the factors affecting satisfaction with a free clinic, the study provides foundational data for improving medical services tailored to medically underserved populations. Future research should focus on developing customized support programs and healthcare provider training to support both service quality and patient satisfaction. Moreover, additional studies across various regions and populations are essential to refine interventions that increase healthcare accessibility and effectiveness for people experiencing homelessness and the urban poor.
The findings of this study indicate that support from healthcare providers, financial assistance, and accessible healthcare services are vital in improving satisfaction with healthcare services among people experiencing homelessness and the urban poor. In particular, the study underscores that support from healthcare providers plays a significant role in influencing satisfaction levels, emphasizing the need for providers to recognize the unique circumstances of this population and offer tailored support.
Future research should further investigate these factors, especially in the development of customized support programs for people experiencing homelessness and the urban poor, as well as in training initiatives targeting healthcare providers to improve service quality and patient satisfaction. Expanding free clinic services to include additional specialties such as dental and ophthalmology care, alongside educational programs on chronic disease and oral health management, can help address unmet healthcare needs and yield better overall health outcomes.
By augmenting targeted support programs and providing specialized training for healthcare providers, healthcare services can be made more accessible and responsive to the needs of people experiencing homelessness and the urban poor. Ultimately, these measures may improve their access to healthcare, enhance their quality of life, and contribute to better health outcomes, thereby supporting reintegration into society.
• Support from healthcare providers emerged as the strongest predictor of satisfaction with medical services among people experiencing homelessness and the urban poor.
• Social support and perceived support from healthcare providers demonstrated significant positive correlations with overall satisfaction.
• High satisfaction levels were reported for medical services, emphasizing the importance of tailored healthcare programs and provider training.
• Expanding free clinic services to include dental and ophthalmology specialties could increase accessibility and satisfaction.
• Integrated educational programs on chronic disease and oral health management are essential to address unmet needs and improve health outcomes.

Ethics Approval

This study was approved by the Institutional Review Board of Kangwon National University (No: KWNUIRB-2023-05-001-004) and performed in accordance with the principles of the Declaration of Helsinki.

Conflicts of Interest

The authors have no conflicts of interest to declare. Curie Ahn was not involved in the editorial process or review of this manuscript, despite being a member of the Editorial Board of the Osong Public Health and Research Perspectives.

Funding

This work was supported by the Raphael Nanum Foundation.

Availability of Data

The datasets are not publicly available; however, they can be obtained from the corresponding author upon reasonable request.

Authors’ Contributions

Conceptualization: JHK, YJH; Data curation: all authors; Formal analysis: all authors; Funding acquisition: JBK, SP, JSL; Investigation: all authors; Methodology: JHK, YJH; Project administration: JHK; Resources: all authors; Software: all authors; Supervision: JHK; Validation: all authors; Visualization: all authors; Writing–original draft: JHK, YJH; Writing–review & editing: all authors. All authors read and approved the final manuscript.

Table 1.
General characteristics (n=112)
Characteristic Category Value
Sex Male 93 (83.0)
Female 19 (17.0)
Age (y) <70 24 (21.4)
70–79 59 (52.7)
≥80 29 (25.9)
Mean±SD 73.96±8.36
Marital status Unmarried 13 (11.6)
Married 62 (55.4)
Separated 6 (5.4)
Widowed 15 (13.4)
Divorced 16 (14.3)
Education No formal education 3 (2.7)
Elementary school graduate 21 (18.8)
Middle school graduate 30 (26.8)
High school graduate 47 (42.0)
College graduate 3 (2.7)
University graduate or higher 8 (7.1)
Religion None 49 (43.8)
Christian 34 (30.4)
Buddhist 12 (10.7)
Catholic 16 (14.3)
No response 1 (0.9)
Income Yes 35 (31.3)
No 77 (68.8)
If yes, income amount (unit 10,000 KRW) Mean±SD 79.52±47.01
Residence Yes 103 (92.0)
No 9 (8.0)
Temporary shelter Street 1 (11.1)
Gjok room 5 (4.5)
Others 3 (2.7)
Residential area Gyeonggi-do 20 (17.9)
Seoul 83 (74.1)
Others 2 (1.8)
No response 7 (6.3)
Cohabitation with family Yes 55 (49.1)
No 57 (50.9)
Perceived health status Mean±SD 3.25±1.00
Smoking Yes 6 (5.4)
No 106 (94.6)
Alcohol consumption Yes 29 (25.9)
No 83 (74.1)
Health issuesa) Hypertension 61 (58.7)
Diabetes mellitus 29 (27.9)
Arthritis 47 (45.2)
Hyperlipidemia 22 (21.2)
Cardiac disease 5 (4.8)
Cerebrovascular accident 5 (4.8)
Osteoporosis 12 (11.5)
Ophthalmic disorders 15 (14.4)
Sciatica 23 (22.1)
Benign prostatic hyperplasia 39 (37.5)
Cancer 3 (2.9)
Others 21 (20.2)

Data are presented as n (%) unless otherwise stated.

SD, standard deviation; KRW, Korean won.

a)Multiple responses were permitted.

Table 2.
Social support, support from medical professionals, and satisfaction with medical services (n=112)
Variable Minimum Maximum Mean±SD
Social support 19 76 32.63±11.10
Support from medical professionals 7 35 22.15±7.08
Satisfaction with medical services 52 120 96.53±13.64
 Facilities and environment 11 25 19.78±3.57
 Medical technology and expertise 10 25 19.95±3.56
 Staff friendliness 5 15 13.01±2.01
 Interest in patient engagement and service quality 15 30 24.82±3.84
 Procedure convenience 6 15 10.83±2.29
 Willingness to reuse and recommend to others 2 10 8.14±1.70

SD, standard deviation.

Table 3.
Differences in social support, support from medical professionals, and satisfaction with medical services by general characteristics (n=112)
Characteristic Support from social networks
Support from medical professionals
Satisfaction with medical services
Mean±SD t or F (p) Scheffe Mean±SD t or F (p) Scheffe Mean±SD t or F (p) Scheffe
Sex −0.63 (0.528) −1.91 (0.059) −2.59 (0.011)
 Male 32.33±11.14 21.58±6.89 95.05±13.72
 Female 34.11±11.09 24.95±7.52 103.74±10.90
Age (y) 0.51 (0.605) 0.19 (0.829) 0.27 (0.767)
 <70 32.17±14.10 21.63±7.44 95.08±16.45
 70–79 33.58±10.82 22.05±6.92 97.37±13.60
 ≥80 31.10±8.83 22.79±7.32 96.00±11.36
Marital status 2.90 (0.025) 0.41 (0.801) 0.23 (0.920)
 Unmarried 35.54±17.21 21.08±9.07 93.54±19.75
 Married 34.58±10.16 22.73±6.68 96.48±12.80
 Separated 23.17±6.40 21.50±7.18 97.17±15.16
 Widowed 31.40±10.11 20.47±7.81 98.40±12.68
 Divorced 27.44±7.55 22.63±6.64 97.13±12.69
Education 1.38 (0.239) 0.35 (0.880) 0.09 (0.994)
 No formal education 27.67±11.59 19.00±5.57 94.33±22.19
 Elementary school graduate 30.62±9.73 21.33±7.68 96.24±12.79
 Middle school graduate 31.73±10.23 21.73±8.24 97.60±12.88
 High school graduate 35.53±12.32 22.81±6.67 96.32±15.05
 College graduate 26.33±7.10 21.00±6.25 93.33±4.51
 University graduate or above 28.50±8.99 23.63±4.53 96.50±12.25
Religion 1.51 (0.217) 0.72 (0.544) 0.92 (0.432)
 None 31.29±12.10 22.00±7.70 96.22±13.78
 Christian 34.03±10.29 21.53±7.35 97.32±13.86
 Buddhism 29.67±8.99 21.17±7.10 99.83±10.60
 Catholic 36.88±10.10 24.44±4.21 91.81±13.90
Income 0.44 (0.664) −1.96 (0.052) 0.41 (0.682)
 Yes 33.31±10.84 20.23±6.94 97.31±14.72
 No 32.32±11.28 23.03±7.02 96.17±13.21
Residence 2.02 (0.046) 0.41 (0.683) −0.29 (0.776)
 Yes 33.25±11.20 22.23±6.91 96.42±13.92
 No 25.56±6.93 21.22±9.26 97.78±10.41
Cohabitation with family 3.51 (0.001) 0.90 (0.372) −0.33 (0.741)
 Yes 33.25±11.20 22.23±6.91 96.42±13.92
 No 25.56±6.93 21.22±9.26 97.78±10.41

SD, standard deviation.

Table 4.
Correlations between variables (n=112)
Variable Social support
Support from medical professionals
Age
Satisfaction with medical services
r p r p r p r p
Social support 1
Support from medical professionals 0.34 <0.001 1
Age −0.08 0.385 0.04 0.656 1
Satisfaction with medical services 0.13 0.173 0.37 <0.001 0.11 0.238 1
Table 5.
Factors affecting satisfaction with medical services (n=112)
Variable B SE β t p VIF
(Constant) 70.36 12.67 5.56 <0.001
Sex
 Male 5.83 3.30 0.16 1.76 0.081 1.06
Age 0.14 0.15 0.09 0.94 0.350 1.05
Income
 No −2.76 2.71 −0.09 −1.02 0.312 1.10
Residence
 No 2.96 4.71 0.06 0.63 0.532 1.14
Cohabitation with family
 No 1.13 2.67 0.04 0.42 0.674 1.23
Social support 0.04 0.12 0.03 0.30 0.765 1.05
Support from medical professionals 0.67 0.19 0.35 3.54 0.001 1.23

Adjusted R2=0.13, F=3.39, p=0.003.

SE, standard error; VIF, variation inflation factor.

  • 1. Park SI, Kim S. Mediating effect of self-efficacy in the relationship between anger and functional health of homeless men. J Korean Acad Nurs 2014;44:361−70. Korean. ArticlePubMed
  • 2. Lee AY, Kim JW. The effects of factors related to homelessness experience and psychosocial characteristics on the self-efficacy of the homeless. Korean J Soc Welf Res 2012;33:21−43. Korean.
  • 3. Korea Institute for Health and Social Affairs (KR). A study on the effects of COVID-19 on the homeless and Jjok-Bang dwellers, and related support policies [Internet]. Korea Institute for Health and Social Affairs; 2020 [cited 2023 Mar 24]. Available from: http://repository.kihasa.re.kr/handle/201002/37349. Korean.
  • 4. Ministry of Health and Welfare (MOHW) (KR). Announcement of the results of the 2021 homeless people [Internet]. MOHW; 2022 [cited 2023 Mar 24]. Available from: https://www.korea.kr/briefing/pressReleaseView.do?newsId=156502584. Korean.
  • 5. Adewole D, Adedeji B, Bello S, et al. Access to healthcare and social determinants of health among female migrant beggars in Ibadan, Nigeria. J Migr Health 2023;7:100160. ArticlePubMedPMC
  • 6. Paisi M, March-McDonald J, Burns L, et al. Perceived barriers and facilitators to accessing and utilising sexual and reproductive healthcare for people who experience homelessness: a systematic review. BMJ Sex Reprod Health 2021;47:211−20. ArticlePubMed
  • 7. Henriksson P, Soderstrom E, Blomberg M, et al. Self-rated health in migrant and non-migrant women before, during and after pregnancy: a population-based study of 0.5 million pregnancies from the Swedish pregnancy register. J Clin Med 2020;9:1764. ArticlePubMedPMC
  • 8. McQuistion HL, Gorroochurn P, Hsu E, et al. Risk factors associated with recurrent homelessness after a first homeless episode. Community Ment Health J 2014;50:505−13. ArticlePubMedPDF
  • 9. Han YR, Yoon HS. Health status and health care system of homeless shelter residents. J Korean Public Health Nurs 2014;28:536−52. Korean. Article
  • 10. Liu M, Hwang SW. Health care for homeless people. Nat Rev Dis Primers 2021;7:5. ArticlePubMedPDF
  • 11. Richards J, Kuhn R. Unsheltered homelessness and health: a literature review. AJPM Focus 2022;2:100043. ArticlePubMedPMC
  • 12. Trummer U, Novak-Zezula S, Chrzanowska M, et al. How structural compensation facilitates health care for the homeless. a comparative view on four European Union member states. Int J Environ Res Public Health 2020;17:9114. ArticlePubMedPMC
  • 13. Kopanitsa V, McWilliams S, Leung R, et al. A systematic scoping review of primary health care service outreach for homeless populations. Fam Pract 2023;40:138−51. ArticlePubMedPDF
  • 14. Faul F, Erdfelder E, Buchner A, et al. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods 2009;41:1149−60. ArticlePDF
  • 15. Song MS. Construction of a functional status prediction model for the elderly [dissertation]. Seoul National University; 1991. Korean.
  • 16. Tae YS. A study on the correlation between perceived social support and depression of the cancer patients [dissertation]. Ewha Womans University; 1985. Korean.
  • 17. Cho HR. A study of the satisfaction with health care service and the repurchase intention of inpatients [dissertation]. Dankook University; 2005. Korean.
  • 18. Hauff AJ, Secor-Turner M. Homeless health needs: shelter and health service provider perspective. J Community Health Nurs 2014;31:103−17. ArticlePubMed
  • 19. Wiens K, Bai L, Hwang SW, et al. Disparities in diabetes processes of care among people experiencing homelessness: an opportunity for intervention. Diabetes Res Clin Pract 2024;213:111748. ArticlePubMed
  • 20. Kim HK, Lee OJ. Lived experience of difficult times for young adult street homeless: application of Parse’s human becoming research method. Korean J Soc Welf 2011;63:31−56. Korean. Article
  • 21. Ku IH, Kim SY. Entrance into homelessness in Korea: cause and process. Korean J Sociol 2012;46:264−93. Korean.
  • 22. Omerov P, Craftman AG, Mattsson E, et al. Homeless persons’ experiences of health- and social care: a systematic integrative review. Health Soc Care Community 2020;28:1−11. ArticlePubMedPDF
  • 23. Aguilar-Palacio I, Obon-Azuara B, Castel-Feced S, et al. Gender health care inequalities in health crisis: when uncertainty can lead to inequality. Arch Public Health 2024;82:46. ArticlePDF
  • 24. Bennett-Daly G, Maxwell H, Bridgman H. The health needs of regionally based individuals who experience homelessness: perspectives of service providers. Int J Environ Res Public Health 2022;19:8368. ArticlePubMedPMC
  • 25. Gentil L, Grenier G, Bamvita JM, et al. Satisfaction with health and community services among homeless and formerly homeless individuals in Quebec, Canada. Health Soc Care Community 2020;28:22−33. ArticlePubMedPDF
  • 26. Miller JP, Hutton J, Doherty C, et al. A scoping review examining patient experience and what matters to people experiencing homelessness when seeking healthcare. BMC Health Serv Res 2024;24:492. ArticlePubMedPMCPDF
  • 27. Clark E, Player E, Gillam T, et al. Evaluating a specialist primary care service for patients experiencing homelessness: a qualitative study. BJGP Open 2020;4:bjgpopen20X101049. ArticlePubMedPMC
  • 28. Perna LK, Patterson C, Chairez AA, et al. Healthcare outcomes for unsheltered persons experiencing homelessness using a street medicine model of care: a pilot program evaluation. Cogent Soc Sci 2024;10:2328895. Article
  • 29. Bell L, Whelan M, Lycett D, Fernandez E, Khera-Butler T, Kehal I, Patel R. Healthcare and housing provision for a UK homeless community: a qualitative service evaluation. Public Health 2024;229:1−6. ArticlePubMed
  • 30. Farmer N, McPherson A, Thomson J, et al. Perspectives of people experiencing homelessness with recent non-fatal street drug overdose on the Pharmacist and Homeless Outreach Engagement and Non-medical Independent prescribing Rx (PHOENIx) intervention. PLoS One 2024;19:e0302988. ArticlePubMedPMC
  • 31. Kaufman RA, Mallick M, Louis JT, et al. The role of street medicine and mobile clinics for persons experiencing homelessness: a scoping review. Int J Environ Res Public Health 2024;21:760. ArticlePubMedPMC
  • 32. Thorndike AL, Yetman HE, Thorndike AN, et al. Unmet health needs and barriers to health care among people experiencing homelessness in San Francisco’s Mission District: a qualitative study. BMC Public Health 2022;22:1071. ArticlePubMedPMCPDF

Figure & Data

References

    Citations

    Citations to this article as recorded by  

      • Cite
        Cite
        export Copy
        Close
      • XML DownloadXML Download
      Related articles
      Factors influencing satisfaction with medical services in medically underserved populations: an analytical cross-sectional study at a free medical clinic in the Republic of Korea
      Factors influencing satisfaction with medical services in medically underserved populations: an analytical cross-sectional study at a free medical clinic in the Republic of Korea
      Characteristic Category Value
      Sex Male 93 (83.0)
      Female 19 (17.0)
      Age (y) <70 24 (21.4)
      70–79 59 (52.7)
      ≥80 29 (25.9)
      Mean±SD 73.96±8.36
      Marital status Unmarried 13 (11.6)
      Married 62 (55.4)
      Separated 6 (5.4)
      Widowed 15 (13.4)
      Divorced 16 (14.3)
      Education No formal education 3 (2.7)
      Elementary school graduate 21 (18.8)
      Middle school graduate 30 (26.8)
      High school graduate 47 (42.0)
      College graduate 3 (2.7)
      University graduate or higher 8 (7.1)
      Religion None 49 (43.8)
      Christian 34 (30.4)
      Buddhist 12 (10.7)
      Catholic 16 (14.3)
      No response 1 (0.9)
      Income Yes 35 (31.3)
      No 77 (68.8)
      If yes, income amount (unit 10,000 KRW) Mean±SD 79.52±47.01
      Residence Yes 103 (92.0)
      No 9 (8.0)
      Temporary shelter Street 1 (11.1)
      Gjok room 5 (4.5)
      Others 3 (2.7)
      Residential area Gyeonggi-do 20 (17.9)
      Seoul 83 (74.1)
      Others 2 (1.8)
      No response 7 (6.3)
      Cohabitation with family Yes 55 (49.1)
      No 57 (50.9)
      Perceived health status Mean±SD 3.25±1.00
      Smoking Yes 6 (5.4)
      No 106 (94.6)
      Alcohol consumption Yes 29 (25.9)
      No 83 (74.1)
      Health issuesa) Hypertension 61 (58.7)
      Diabetes mellitus 29 (27.9)
      Arthritis 47 (45.2)
      Hyperlipidemia 22 (21.2)
      Cardiac disease 5 (4.8)
      Cerebrovascular accident 5 (4.8)
      Osteoporosis 12 (11.5)
      Ophthalmic disorders 15 (14.4)
      Sciatica 23 (22.1)
      Benign prostatic hyperplasia 39 (37.5)
      Cancer 3 (2.9)
      Others 21 (20.2)
      Variable Minimum Maximum Mean±SD
      Social support 19 76 32.63±11.10
      Support from medical professionals 7 35 22.15±7.08
      Satisfaction with medical services 52 120 96.53±13.64
       Facilities and environment 11 25 19.78±3.57
       Medical technology and expertise 10 25 19.95±3.56
       Staff friendliness 5 15 13.01±2.01
       Interest in patient engagement and service quality 15 30 24.82±3.84
       Procedure convenience 6 15 10.83±2.29
       Willingness to reuse and recommend to others 2 10 8.14±1.70
      Characteristic Support from social networks
      Support from medical professionals
      Satisfaction with medical services
      Mean±SD t or F (p) Scheffe Mean±SD t or F (p) Scheffe Mean±SD t or F (p) Scheffe
      Sex −0.63 (0.528) −1.91 (0.059) −2.59 (0.011)
       Male 32.33±11.14 21.58±6.89 95.05±13.72
       Female 34.11±11.09 24.95±7.52 103.74±10.90
      Age (y) 0.51 (0.605) 0.19 (0.829) 0.27 (0.767)
       <70 32.17±14.10 21.63±7.44 95.08±16.45
       70–79 33.58±10.82 22.05±6.92 97.37±13.60
       ≥80 31.10±8.83 22.79±7.32 96.00±11.36
      Marital status 2.90 (0.025) 0.41 (0.801) 0.23 (0.920)
       Unmarried 35.54±17.21 21.08±9.07 93.54±19.75
       Married 34.58±10.16 22.73±6.68 96.48±12.80
       Separated 23.17±6.40 21.50±7.18 97.17±15.16
       Widowed 31.40±10.11 20.47±7.81 98.40±12.68
       Divorced 27.44±7.55 22.63±6.64 97.13±12.69
      Education 1.38 (0.239) 0.35 (0.880) 0.09 (0.994)
       No formal education 27.67±11.59 19.00±5.57 94.33±22.19
       Elementary school graduate 30.62±9.73 21.33±7.68 96.24±12.79
       Middle school graduate 31.73±10.23 21.73±8.24 97.60±12.88
       High school graduate 35.53±12.32 22.81±6.67 96.32±15.05
       College graduate 26.33±7.10 21.00±6.25 93.33±4.51
       University graduate or above 28.50±8.99 23.63±4.53 96.50±12.25
      Religion 1.51 (0.217) 0.72 (0.544) 0.92 (0.432)
       None 31.29±12.10 22.00±7.70 96.22±13.78
       Christian 34.03±10.29 21.53±7.35 97.32±13.86
       Buddhism 29.67±8.99 21.17±7.10 99.83±10.60
       Catholic 36.88±10.10 24.44±4.21 91.81±13.90
      Income 0.44 (0.664) −1.96 (0.052) 0.41 (0.682)
       Yes 33.31±10.84 20.23±6.94 97.31±14.72
       No 32.32±11.28 23.03±7.02 96.17±13.21
      Residence 2.02 (0.046) 0.41 (0.683) −0.29 (0.776)
       Yes 33.25±11.20 22.23±6.91 96.42±13.92
       No 25.56±6.93 21.22±9.26 97.78±10.41
      Cohabitation with family 3.51 (0.001) 0.90 (0.372) −0.33 (0.741)
       Yes 33.25±11.20 22.23±6.91 96.42±13.92
       No 25.56±6.93 21.22±9.26 97.78±10.41
      Variable Social support
      Support from medical professionals
      Age
      Satisfaction with medical services
      r p r p r p r p
      Social support 1
      Support from medical professionals 0.34 <0.001 1
      Age −0.08 0.385 0.04 0.656 1
      Satisfaction with medical services 0.13 0.173 0.37 <0.001 0.11 0.238 1
      Variable B SE β t p VIF
      (Constant) 70.36 12.67 5.56 <0.001
      Sex
       Male 5.83 3.30 0.16 1.76 0.081 1.06
      Age 0.14 0.15 0.09 0.94 0.350 1.05
      Income
       No −2.76 2.71 −0.09 −1.02 0.312 1.10
      Residence
       No 2.96 4.71 0.06 0.63 0.532 1.14
      Cohabitation with family
       No 1.13 2.67 0.04 0.42 0.674 1.23
      Social support 0.04 0.12 0.03 0.30 0.765 1.05
      Support from medical professionals 0.67 0.19 0.35 3.54 0.001 1.23
      Table 1. General characteristics (n=112)

      Data are presented as n (%) unless otherwise stated.

      SD, standard deviation; KRW, Korean won.

      Multiple responses were permitted.

      Table 2. Social support, support from medical professionals, and satisfaction with medical services (n=112)

      SD, standard deviation.

      Table 3. Differences in social support, support from medical professionals, and satisfaction with medical services by general characteristics (n=112)

      SD, standard deviation.

      Table 4. Correlations between variables (n=112)

      Table 5. Factors affecting satisfaction with medical services (n=112)

      Adjusted R2=0.13, F=3.39, p=0.003.

      SE, standard error; VIF, variation inflation factor.


      PHRP : Osong Public Health and Research Perspectives
      TOP