Get Permission Ajuzie, Onwuka, and Okerulu: Analytical study of participation dynamics in healthcare insurance plans for treatment of patients diagnosed with sexually transmitted diseases (STDs)


Introduction

Sexually Transmitted Infections (STDs) are contagious diseases spread via sexual activity, involving the transmission of pathogens.1 Prevalence rates are higher in developing countries, with approximately 340 million new cases annually,2 mostly in these regions. Risk factors include multiple sexual partners, inconsistent condom use, and previous STDs. Nigeria faces significant challenges with STDs, particularly HIV/AIDS.3, 4 Lack of healthcare infrastructure and cultural barriers hinder control measures. Health insurance and public health education are crucial for STD prevention and management.5

Health insurance, a form of risk management, provides financial coverage for medical expenses incurred by individuals. This shared risk mechanism spreads the burden among a large pool of people, enabling insurers to develop financing structures like monthly premiums or payroll taxes. Administered by entities like governmental agencies or private firms, health insurance encompasses various benefits including coverage for sickness, injury, medical expenses, disability, or accidental death. In low-income countries, health insurance schemes are increasingly recognized as essential for financing healthcare provision, aiming to improve access to quality healthcare services. Compared to user fees and other financing methods, insurance offers the advantage of pooling risks, thereby mitigating unforeseen healthcare costs through fixed premiums.6 However, neither statutory social health insurance nor commercial schemes alone significantly increase coverage rates, particularly in rural and remote areas where transaction costs are prohibitive. Non-profit, mutual, community-based health insurance schemes have emerged in several countries, emphasizing solidarity and collective risk pooling. Although proponents argue these schemes can enhance healthcare access, studies suggest challenges such as small risk pools, adverse selection, subsidy dependence, and financial sustainability issues.7 Additionally, the contextual factors influencing scheme effectiveness and their broader social benefits remain underexplored. Despite challenges, understanding the strengths and weaknesses of health insurance schemes is crucial for advancing equitable healthcare access and enhancing household risk management capacity. Hence, this study explores participation dynamics in healthcare insurance plans for patients with STDS, aiming to identify factors influencing enrollment and engagement, addressing gaps in understanding insurance uptake in managing STDS.

Materials and Methods

Study design, sampling, sample size

A clinical-based descriptive survey was conducted at the Federal Medical Centre (FMC) Owerri from February to March 2023. FMC, located at 105 Hospital Road, Orlu Rd, Owerri, Imo State, Nigeria, began as a colonial dispensary in 1903, evolving into a district hospital, then a general hospital, before attaining federal medical center status in 1995, boasting a 700-bed capacity. Despite its growth, the population remained stable since 1995.8 The participation rate for interviews exceeded 90%. Sampling targeted various patient categories, including pregnant women, nursing mothers, adolescents, and sex workers. The study encompassed individuals aged 14 and above, employing a simple arbitrary sampling technique. Three days of group discussions were held, with ten questions posed regarding STDs. On the fourth day, 114 participants responded positively, forming the sample pool. Sampling focused on infected subjects, constituting 0.285% of the total survey participants.

Data acquisition and analysis

The study employed a comprehensive approach to data collection, primarily utilizing 30 questions, questionnaires, and group discussions to investigate Participation Dynamics in Healthcare Insurance Plans for Patients Diagnosed with STDs at FMC Owerri. Prior to experimentation, the questionnaires were validated by the researcher and supervisor; preliminary examination involved distributing 30 questionnaires at FMC Owerri, as well as re-dispersion after two weeks interval to assess its clarity and content. The analysis aimed to identify any obscurities in the questionnaire's structure and content. Reliability assessment of the instrument involved statistical analysis of field responses to determine correlation coefficients. Various data collection techniques were adopted based on the study's objectives, including internet research and literature review. Data analysis employed a binary probit model, with Pi = 1 indicating membership in the insurance plan and Pi = 0 denoting otherwise. The mean score of patients enrolled in the insurance plan served as the decision criterion. This research underscores the significance of meticulous data collection methods and their influence on informed decision-making processes in healthcare insurance planning.

Results

Awareness and participation dynamics among STD diagnosed individuals in health insurance plans

The study (Table 1) highlights significant variations in awareness and participation levels concerning health insurance coverage for STD treatment across demographics. Notably, sex workers showed the highest rates at 90.3%, while adolescents exhibited lower levels at 37.4%, possibly due to literacy and income limitations. Conversely, pregnant and nursing mothers displayed above-average awareness and participation (62.6% and 81.5%, respectively), likely influenced by regular engagement with antenatal care. The insurance policy's inclusion of STD treatment within antenatal care likely contributed to heightened awareness and participation in this demographic.

Table 1

Awareness and participation dynamics among STD diagnosed individuals in health insurance plans

Category of patient

% of membership

Medical service

Level of awareness

Adolescent

37.4%

Hospitalization

Low

Pregnant women

62.6%

Antenatal

Medium

Nursing mothers

81.5%

Antenatal

High

Sex workers

90.3%

Hospitalization

Very high

Factors affecting participation in health insurance schemes

This study (Table 2) presented individual-level determinants of participation in Health Insurance Schemes, focusing primarily on income. Income, measured as household expenditure per member annually, is assumed to positively influence participation, with wealthier individuals more likely to participate. Religion also correlates positively with enrollment. Experience in local organizations further enhances the likelihood of joining a Health insurance scheme. Additionally, health status, as indicated by the household's STD ratio, is considered to control for adverse selection. Results from probit analysis demonstrate significant positive effects of income, religion, and organizational membership on participation.

Table 2

Determinates of health insurance schemes participation

Variable

Description

Participation

Sex

Male; 1 = yes

+

Age group 1   

Age (14 - 20 years)

+

Age group 3

Age (≥41years)

+

Literacy

Ability to read/write; 1 = yes

+

Other organization

in another group membership; 1 = yes

+

Relationship

Relationship to household; 1 = self, spouse, parents, children and otherwise

+

Religion

Christian house (1 = yes)

+

Musclim house (1 + yes)

Income terzile

Lower terzile

_

Middle terzile

±

Upper terzile

+

Self – wealth

Self – classification of household (poor, average, rich)

_, _, +

STD – ratio

Number of cases of STDs per household in the last 6 months divided by number of household members

+

Frequency of STD

Number of cases of STDs of an individual in the last six month

+

[i] + indicate positive sign for participation decision, – indicate otherwise

Marginal coefficients of factors influencing participation in health insurance scheme at the household level

Analysis (Table 3) of factors influencing participation in health insurance at the household level reveals significant impacts of religion, income, organizational affiliation, and education on STD insurance. Demographic analysis indicates higher insurance probabilities for women and older individuals, aligning with STD risk profiles. However, marginal effects, though statistically significant, are minimal (<0.1%), complicating the diagnosis of severe adverse selection. This underscores the complexity of insurance dynamics and suggests the need for nuanced approaches to address coverage disparities and improve risk assessment strategies in healthcare policy.

Table 3

Analysis of factors influencing participation in health insurance at the household level

Variable

Model 1

Model 2

Model 3

Constant

2.048

0.223

0.064

(0.541)

(0.155)

(0.197)

Sex (1 = male)

0.054

0.071

0.001

(0.083)

(0.083)

(0.083)

Age group 1

(age 14 - 20)

0.088

0.085

0.079

(0072)

(0.092)

(0.091)

Age group 3

(age 41 - 65)

0.087

0.079

0.101

(0.061)

(0.061)

(0.062)

Literacy (can read/write)

1 = yes

0.057

0.062

0.043

(0.063)

(0.063)

(0.063)

Other organization

0.180

0.183

0.120

(0.066)

(0.066)

(0.065)

Religion

(1 = Christianity)

0.370

0.369

0.347

(0.085)

(0.085)

(0.083)

Income (expenditure per household member log)

0.167

(0.046)

Income ferzile: lower

0.110

(0.063)

Income terzile: upper

0.165

0.073)

Self-wealth (self-classification of household): poor

- 0.254

(0.058)

Self-wealth rich

0.018

(0.113)

STD ratio (number of cases of illness per household divided by number of household members)

0.002

0.007

0.037

(0.088)

(0.088)

(0.086)

Hospitalization probability, expenditure determinants, and correlates with health insurance membership

The study (Table 4) illustrated hospitalization probability, expenditure determinants, and correlates with health insurance membership, particularly in rural areas. Ogbaku demonstrated a higher effective demand for hospitalization, likely attributed to its well-established mutual system and proximity to healthcare facilities. Findings suggest that health insurance enhances healthcare access, especially in communities with existing mutual aid structures. Factors such as income, age, gender, and village effects significantly impact insurance uptake and healthcare utilization. Membership correlates with more frequent hospitalization at lower costs, influenced by age, STD type, gender, income, and village factors. Access to quality healthcare is achievable through effective insurance schemes supported by local institutions and financial backing from hospitals.

Table 4

Presentation of hospitalization probability, expenditure determinants, and correlates with health insurance membership

Variable

Model 1a

(hospital)

Model 1b

(hospital)

Model 2a

(expenditure)

Model 2b

(expenditure)

Constant

03.01

0.137

4.611

9.445

(0.065)

(0.021)

(2.016)

0.642

Sex (1 = male)

(2 = female)

(-0.014

(-0.014)

(0.370)

0.401

0.007)

(0.006)

(0.214)

(0.21)

Age group 1 (age – 20)

Age group 3 (age - 63)

0.016

0.016

0.495

0.320

0.022

0.022

0.008

0.141

Literacy (can read/write)

(1 = yes)

0.107

0.010

0.07

0.035

(2 = no)

0.0007

0.007

0.243

0.239

Frequency of STD

0.007

0.008

0.02

0.03

Income (expenditure per household member)

0.015

-

0.441

-

Income terzile: lower

Income terzile: upper

0.008

0.120

0.008

0.238

Community characteristics

Ogbaku (household belonging to Ogbaku Community. 1 = yes)

0.046

0.046

0.550

0.568

(0.022)

(0.022)

(0.067)

0.676

Umuchoke (household belonging to Umuchoke Community 1 = yes)

0.017

0.018

1.573

1.588

0.020

(0.020)

(0.643)

(0.643)

[i] Significant at 0.05 levels

Discussion

The analytical investigation examines the intricacies of involvement in healthcare insurance programs tailored for individuals diagnosed with sexually transmitted diseases (STDs). It presents insights across diverse demographic groups, elucidating the discrepancies in awareness and participation regarding health insurance coverage for STD treatment. Table 1 demonstrates marked variations in participation rates, with sex workers exhibiting the highest engagement at 90.3%, possibly due to heightened awareness and improved access to healthcare services which corresponds to report.9 Conversely, adolescents exhibit lower participation levels at 37.4%, likely influenced by factors such as limited literacy and income, which was also implied by previous study.10 Pregnant and nursing mothers show above-average awareness and participation, potentially influenced by regular engagement with antenatal care, which includes STD treatment. Table 2 explores individual-level determinants of participation, emphasizing income as a significant factor. Wealthier individuals are more inclined to participate, indicating a positive association between income and enrollment.11 Additionally, religion and involvement in local organizations exhibit positive correlations with enrollment, suggesting social and communal influences on participation.12, 13 Analysis in Table 3 reveals significant impacts of religion, income, organizational affiliation, and education on household-level participation in STD insurance. Demographically, women and older individuals demonstrate higher insurance probabilities, aligning with STD risk profiles. However, marginal effects are minimal, highlighting the complexity of insurance dynamics and the challenge in identifying severe adverse selection. Table 4 investigates hospitalization probability, expenditure determinants, and their link with health insurance membership, particularly in rural settings. The study underscores the role of health insurance in enhancing healthcare access, especially in areas with established mutual aid structures. Factors such as income, age, gender, and village effects significantly influence insurance uptake and healthcare utilization.14, 15, 16 Membership correlates with more frequent hospitalization at reduced costs, emphasizing the significance of effective insurance schemes supported by local institutions and financial backing from hospitals to ensure quality healthcare access. Overall, the study underscores the multifaceted nature of healthcare insurance dynamics and emphasizes the necessity for nuanced strategies to address coverage disparities and enhance risk assessment in healthcare policy.

Conclusion

The study delves into healthcare insurance involvement for STD patients, highlighting demographic variations. It reveals higher participation among sex workers and mothers, influenced by factors like income and social ties. Enhanced insurance leads to increased hospitalization at reduced costs, emphasizing effective policy strategies.

Author Contributions

Conception: GCA, OMO - Design: OMO - Supervision: GCA - fundings: -Materials: GCA, OMO, ALO - Data Collection and/or Processing: GCA, OMO, ALO - Analysis and/or Interpretation: OMO - Literature: ALO - Review: OMO, - Writing: OMO Critical Review: GCA, ALO.

Ethical reflections

The study was conducted following ethical guidelines, which included informing participants about the study's purpose and procedures, obtaining their consent, and ensuring the confidentiality of subjects.

Conflict of Interest

None.

Source of Funding

No external funding.

References

1 

D Jaishankar D Shukla Genital herpes: insights into sexually transmitted infectious diseaseMicrob Cell20163943850

2 

JC Meade DC Cornelius Sexually transmitted infections in the tropicsCurr Top Trop Med201216457

3 

KH Mayer KK Venkatesh Interactions of HIV, other sexually transmitted diseases, and genital tract inflammation facilitating local pathogen transmission and acquisitionAm J Reprod Immunol201165330816

4 

OM Onwuka Responses of female non-academic staff of a tertiary institution on reducing HIV/AIDS: a health scheme survey in South-Eastern NigeriaHIV AIDS Rev Int J HIV-Relat Probl202322322630

5 

N Douthit S Kiv T Dwolatzky S Biswas Exposing some important barriers to health care access in the rural USAPublic Health2015129661120

6 

SS Habib S Perveen HM Khuwaja The role of micro health insurance in providing financial risk protection in developing countries: a systematic reviewBMC Public Health201616124

7 

M Hussien M Azage NB Bayou A mixed methods study of community-based health insurance enrollment trends and underlying challenges in two districts of northeast Ethiopia: a proxy for its sustainabilityPLoS One2022178e266583

8 

Federal Medical Centre, Owerri [Internet]Wikipediahttps://en.wikipedia.org/wiki/Federal_Medical_Centre,_Owerri2023 Apr 10

9 

P Duff S Goldenberg K Deering J Montaner P Nguyen S Dobrer Barriers to viral suppression among female sex workers: role of structural and intimate partner dynamicsJ Acquir Immune Defic Syndr20167318390

10 

FO Ozturk S Ayaz-Alkaya Health literacy and health promotion behaviors of adolescents in TurkeyJ Pediatr Nurs202054315

11 

C Jehu-Appiah G Aryeetey E Spaan T DeHoop T Agyepong R Baltussen Equity aspects of the National Health Insurance Scheme in Ghana: who is enrolling, who is not and why?Soc Sci Med201172215765

12 

JP Jütting Do community-based health insurance schemes improve poor people’s access to health care? Evidence from rural SenegalWorld Dev200432227388

13 

KV Smith S Sulzbach Community-based health insurance and access to maternal health services: evidence from three West African countriesSoc Sci Med20086612246073https://doi.org/10.1016/j.socscimed.2008.01.044

14 

EF Adebayo OA Uthman CS Wiysonge EA Stern KT Lamont JE Ataguba A systematic review of factors that affect uptake of community-based health insurance in low-income and middle-income countriesBMC Health Serv Res20151513

15 

AP Fenny A Kusi DK Arhinful FA Asante Factors contributing to low uptake and renewal of health insurance: a qualitative study in GhanaGlob Health Res Policy20161110

16 

EM Oluedo E Obikeze C Nwankwo I Okonronkwo Willingness to enroll and pay for community-based health insurance, decision motives, and associated factors among rural households in Enugu State, Southeast NigeriaNiger J Clin Pract202326790820



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Received : 03-06-2024

Accepted : 10-09-2024


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https://doi.org/ 10.18231/j.ijcap.2024.031


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