Abstract
Persons with disabilities in LMICs facing numerous challenges in accessing essential healthcare services. However, this understanding is lacking so far in LMICs and Bangladesh. This study aimed to explore the pattern and determinants of healthcare services access among persons with disabilities in Bangladesh. We analysed data from 4293 persons with disabilities extracted from the 2021 National Survey on Persons with Disabilities. The outcome variable was healthcare services access within three months of the survey, categorized as either “yes” or “no” based on perceived needs. Several individual, household, and community-level factors were considered as explanatory variables. We utilized a multilevel mixed-effect logistic regression model to explore the association of the outcome variable with explanatory variables. The analysis included stratification by age groups: 0–17 years and 18–95 years. One out of every four persons with disabilities in Bangladesh reported that they could not access healthcare services based on their needs within three months of the survey. The main reasons for not accessing services were healthcare costs (52.10%), followed by lack of family support (27.0%), and absence of healthcare facilities in their areas of residence (10.10%). Among those who did receive healthcare services, the majority reported accessing them from governmental hospitals (26.49%), followed by village practitioner (20.52%), and private healthcare centres (19.87%). There was a higher likelihood of accessing healthcare services among persons with disabilities residing in households with higher wealth quintiles and living in the Chattogram and Sylhet divisions. Unmarried or divorced/widowed/separated persons with disabilities reported lower likelihoods of accessing healthcare services. The findings of this study emphasize the need for policies and programs to ensure healthcare services for persons with disabilities in Bangladesh. This entails raising awareness about the importance of providing healthcare services for this demographic, as well as considering healthcare services as part of social safety net programs.
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Discover the latest articles, news and stories from top researchers in related subjects.Introduction
In 2022, an estimated 1.3 billion individuals, making up the world’s largest minority group, lived with disabilities1. Over 80% of them reside in low- and middle-income countries (LMICs), where the prevalence of disabilities is rising due to advancements in medical technology2. Improved medical technology has increased the ability to detect and diagnose disabilities that might have previously gone unnoticed, as well as enhanced survival rates from road accidents, birth defects, and premature births3. Additionally, longer life expectancy—often a result of these advancements—means that more individuals may develop age-related disabilities, such as chronic illnesses and mobility problems4. As more cases are identified and documented, this can lead to an apparent increase in disability rates. These trends highlight the need for comprehensive healthcare systems that address the unique needs of this growing population5. In Bangladesh, where an estimated 2.79% of the population lives with disabilities, ensuring equitable access to healthcare remains a critical challenge6.
Historically, perceptions in LMICs, including Bangladesh, often portray persons with disabilities as dependent on family and government support for basic needs like food and healthcare6,7. This perception, while not inherently malicious, can create a cycle of dependence and restrict access to essential services7,8. While studies in LMICs have explored the prevalence and determinants of disability, the issue of healthcare access specifically for persons with disabilities remains relatively understudied. Available research mainly focuses on rural areas with small sample sizes, poor study design, and less precise methodologies6,9,10,11,12. Additionally, these studies often consider various classifications of disabilities or focus on specific types, rather than providing a comprehensive overview6,9,10,11,12. Other predominant focus areas are social safety nets and integration into mainstream society7,13. Due to this neglect, the nuanced challenges faced by persons with disabilities in accessing healthcare remain largely unknown.
This gap is particularly evident in Bangladesh, where governmental support often falls short, providing only limited financial assistance7. Moreover, healthcare facilities in Bangladesh are often not disability-friendly in terms of accessibility and are typically characterized by overcrowding, long waiting times, and a very high doctor-to-population ratio14. Additionally, the country’s healthcare system operates primarily on a “need-based” model, focusing on immediate concerns rather than long-term preventive care (merit based care)15. This creates an additional barrier for persons with disabilities who may require ongoing medical attention and specialist services5.
Furthermore, a crucial gap exists in understanding the socio-cultural dynamics at play within communities. Misconceptions about the healthcare needs of persons with disabilities persist among community members who serve as crucial support systems, potentially leading to underreported healthcare needs and limited access to resources14,16,17. Existing research in Bangladesh reflects this gap, focusing more on disease burden and prevalence of disabilities5,6,7,14,17. However, research focusing the healthcare needs of the persons with disabilities and its accessibility are still lacking in Bangladesh and a few are available are based on sample of particular areas or persons with particular form of disabilities5,6,14 To address this limitation, we conducted this study to explore the pattern and determinants of healthcare services access by the persons with disabilities in Bangladesh.
Methods
Sampling strategy and ethics
We analysed data extracted from the 2021 National Survey on Persons with Disabilities (NSPD), a nationally representative household survey conducted by the Government of Bangladesh through the Bangladesh Bureau of Statistics (BBS). The households were selected using a two-stage stratified random sampling technique. In the first stage, 800 primary sampling units (PSUs) were randomly selected from the list of 293,579 PSUs generated by the BBS as part of the 2011 National Population Census (the most recent population census in Bangladesh at the time of the survey). Household listing operations were then conducted in each of the selected PSUs. Subsequently, 45 households were systematically chosen from each selected PSU in the second stage of sampling. This process generated a list of 36,000 households, from which data were collected from 35,493 households, achieving a coverage rate of 98.6%. There were 155,025 respondents in these selected households, and all of them were included in the survey. Detailed description regarding the survey has been presented elsewhere6,7,18.
The survey we analysed was reviewed and approved by the Ethics Committee of the Bangladesh Bureau of Statistics. Informed written consent was obtained from each respondent (or their legal guardian for respondent aged < 18 years) before collecting data. We obtained de-identified publicly available data from the BBS by submitting a research proposal for this research. As we analysed survey data extracted in deidentified form no additional ethical approval is required.
Analytical sample
The inclusion criteria for this study were: (i) individuals with disabilities, and (ii) those who responded to questions about their healthcare needs within three months of the survey. Individuals who reported not needing any healthcare services within this period were excluded. In the main survey, 4293 respondents with disabilities were classified according to the Washington Group on Disability’s definition, which aligns with the Persons with Disabilities Rights and Protection Act, 2013 of Bangladesh18,19,20. According to these definitions, individuals with disabilities are those at greater risk than the general population of experiencing limitations in completing specific tasks or activities due to impairments in basic functioning, such as walking, seeing, hearing, or memory—even if these limitations are mitigated by assistive devices or supportive environments. Out of the identified individuals with disabilities, 724 reported not needing any health services within three months of the survey and were excluded from the analysis. Consequently, 3563 respondents were included in the final analysis. The methodology for collecting disability-related data is detailed elsewhere6,18.
Outcome variables
The outcome variable considered was the respondents’ healthcare services access status. During the survey, respondents were first asked whether they needed healthcare services within three months of the survey with the response options “Yes” and “No.” Respondents who responded affirmatively were then asked whether they accessed healthcare services, with response options “Yes” and “No.” Based on these two responses, we generated a dichotomous variable on healthcare services access within three months of the survey based on perceived needs (yes, no).
Explanatory variables
We conducted a comprehensive search to identify explanatory variables to be included in this study. The search was conducted in several databases, with a focus on LMICs and Bangladesh6,10,17,21,22,23,24,25. The variables included were respondent’s age (0–17 years, 18–59 years, and ≥ 60 years), respondents’ years of schooling, gender (male or female), occupation (agriculture, blue-collar work, pink-collar work, white-collar work, student, housewife, unable to work, and others), marital status (married, unmarried, widowed/divorced/separated), and religion (Islam, others). Household’s wealth quintile was also included as generated and presented in the survey dataset by the survey authority, with five categories: poorest, poorer, middle, richer, richest. Household asset-related variables, such as roofing type and ownership of a refrigerator, were used to create this variable through principal component analysis. Additional factors included respondents’ place of residence (urban and rural) and their region of residence (Barishal, Chattogram, Dhaka, Khulna, Mymensingh, Rajshahi, Rangpur, and Sylhet).
Statistical analysis
Descriptive statistics were used to describe the characteristics of the respondents. The statistical significance of the variation in accessing healthcare services across the considered explanatory variables was determined through a chi-square test. A multilevel mixed-effect logistic regression model was used to determine the relationship of the outcome variable with explanatory variables. The rationale for using this model was the nested structure of the NSPD data, where respondents were nested within households, and households were nested within a PSU. Previous research has indicated that multilevel modelling yields more precise results with such a nesting structure of the data, compared to a conventional simple logistic regression model26. We ran two separate models by splitting the total sample into two groups based on their ages: aged 0–17 and aged 18–95. A progressive model-building technique was used for each age group, involving the creation of three distinct models based on the socio-ecological model of health. According to this model, health and healthcare access are influenced by a complex range of socio-demographic factors that interact with each other27. Following this, we developed three models: Model 1 included only individual-level factors; Model 2 included both individual and household-level factors; and Model 3, the final model, incorporated individual, household, and community-level factors. Multicollinearity was checked before running each model through the Variance Inflation Factor (VIF). If evidence of multicollinearity was found (VIF > 5.0), the relevant variable was deleted, and the model was run again. Results were reported as adjusted odds ratios (aOR) with their corresponding 95% Confidence Intervals (95% CI). All statistical analyses were carried out using STATA/SE 14.0 (Stata Corp LP, College Station, Texas, United States of America). All methods were carried out in accordance with relevant guidelines and regulations.
Result
Background characteristics of the respondents
The background characteristics of the respondents are presented in Table 1. The mean age of the respondents was 42.91 years. Around half (50%) of the total respondents were aged 18–59 years at the time of the survey. Approximately 58% of the total respondents were male. The mean year of schooling was reported 3.80 years. Over one third of total respondents identified them as unable to work. Around 81% of the total respondents resided in rural area while around 20% indicated Dhaka as their region of residence.
Healthcare service access within 3 months of the survey across explanatory variables
Table 2 presents distribution of access to healthcare services across considered explanatory variables. We found that around 75% of persons with disabilities received at least one episode of healthcare services within three months of the survey. Male respondents and pink colour workers reported higher prevalence of healthcare services access. Respondents who was richest and those from urban residence reported higher percentage of received healthcare services. Respondents resided in the Sylhet division reported higher prevalence of healthcare services access.
Sources of healthcare services access within three months of the survey
We explored the sources of accessing healthcare services for those who received healthcare services within three months of the survey. The corresponding results are presented in Table 3. Around a quarter (22.26%) of the total respondents reported they received healthcare services from government hospitals. This was followed by village practitioners (20.52%), private hospitals/clinics (19.87%), allopathic drug stores (14.29%), and private MBBS doctor’s chambers (14.18%).
Reasons for not accessing healthcare services
The reasons for not accessing healthcare services reported by respondents who didn’t receive healthcare on need within three months of the survey are presented in Fig. 1. Over half (52.10%) of the total respondents reported the cost of accessing healthcare services as the primary reason, followed by 27% reporting lack of family support and 10.10% reporting no healthcare centre in the areas where they resided. This observation was found to be different across respondents’ gender. Males reported a higher burden due to cost than females. For females, lack of family support and no healthcare centre in the area were cited as more prevalent reasons than for males.
Factors associated with healthcare services access by persons with disabilities
We ran two separate multilevel mixed-effect logistic regression models to identify the associated factors of healthcare services access by persons with disabilities, one for respondents aged 0–17 years and one for respondents aged 18 years or older (Table 4). The corresponding full model results are presented in the Supplementary table 1 and 2. In the first model, we found that for every year increase in respondents’ age, there was a 7% reduction (aOR: 0.93, 95% CI 0.87–1.00) in the likelihood of accessing healthcare services. We also found a gradual increase in healthcare services access with the increase in the score of household wealth, with likelihoods increasing from 2.96 times to 9.85 times among the poorer to the richest compared to the poorest wealth quintile. Respondents residing in the Sylhet division reported higher likelihoods of healthcare services access compared to respondents residing in the Barishal district.
For respondents aged 18–95, we found lower likelihoods of healthcare services access among persons with disabilities who are unmarried (aOR: 0.63, 95% CI 0.43–0.93) or widowed/divorced/separated (aOR: 0.66, 95% CI 0.48–0.92) compared to married persons with disabilities. Higher likelihoods of healthcare services access were found among persons with disabilities who belong to households classified as poorer (aOR: 2.17, 95% CI 1.57–3.00), middle (aOR: 2.25, 95% CI 1.60–3.16), richer (aOR: 3.09, 95% CI 2.08–4.58), and richest (aOR: 5.59, 95% CI 3.35–9.34) compared to the poorest. Persons with disabilities who were residents of Chattogram (aOR, 3.22, 95% CI 1.52–6.84) and Sylhet (aOR, 3.99, 95% CI 1.68–9.52) regions reported higher likelihoods of healthcare services compared to persons with disabilities who resided in the Barishal division.
Discussion
The objectives of this study were to investigate the pattern of healthcare services access among persons with disabilities in Bangladesh and its associated socio-demographic factors. We found that approximately 75% of persons with disabilities accessed healthcare services when needed within three months of the survey, while the remaining respondents did not. More than one-fourth of those who accessed healthcare services did so from governmental healthcare facilities. Additionally, over half of those who did not access healthcare services cited the cost of healthcare as a barrier. We observed a higher likelihood of healthcare services access among persons with disabilities belonging to higher wealth quintiles and residing in the Chattogram and Sylhet divisions. Unmarried or divorced/widowed/separated persons with disabilities reported lower likelihoods of accessing healthcare services. These findings are robust as they are derived from a large-scale nationally representative survey and adjusted for a broad range of confounding factors. The results underscore the need for targeted interventions to ensure access to healthcare services for persons with disabilities in Bangladesh.
The findings of this study indicate that one in every four persons with disabilities in Bangladesh could not access healthcare services when needed. Although we could not validate these findings due to the lack of relevant literature at the national level, previous small-scale studies suggest that this is the ongoing reality in Bangladesh as well as other LMICs14,17,26,28. A 2024 study published using the same survey data that analysed in this study indicates that persons with disabilities in Bangladesh mostly suffer from non-communicable diseases and several chronic conditions, including diabetes and hypertension, which typically require long-term care with continuity5. Inability to access such care can lead to the development of severe health issues, including kidney failure5. This, coupled with our study findings, highlights the severe vulnerability that persons with disabilities in Bangladesh are currently facing.
Several factors contribute to the challenges faced by persons with disabilities in accessing healthcare services. One significant challenge is the financial difficulties encountered by persons with disabilities in Bangladesh, consistent with our study findings and those of other available studies in Bangladesh and other LMICs7,29,30,31. Persons with disabilities in Bangladesh are often marginalized when it comes to engaging in economic activities7. The transportation and education systems in Bangladesh are typically not disability-friendly, with limited accessibility for wheelchairs and other disability support aids6,14,17. Additionally, persons with disabilities face significant barriers at the community level regarding their participation in education7. The job market in Bangladesh is highly competitive, making it difficult for persons with disabilities to sustain employment until they secure a job, especially with comparatively lower education levels, and receive adequate support afterward32. Consequently, these issues restrict the work participation of persons with disabilities, leading them to depend on their families and the government’s social safety net programs to meet their basic needs throughout their lives32,33. This long-term dependency is often unwelcomed at the family level. Moreover, the social safety net programs developed by the government are inadequate in terms of coverage and support provided, with persons with disabilities receiving only a nominal monthly stipend of nearly 8 USD from the government7. This lack of financial resources hinders their ability to access basic services when needed, including healthcare services, as reported in this study.
Infrastructural challenges at the healthcare facility level exacerbate these difficulties. This includes healthcare facilities that are not disability-friendly in terms of access and service provision14,17. Government healthcare facilities, which were reported as major sources of accessing healthcare services by persons with disabilities in this study as well as in other studies in Bangladesh, are often overcrowded, leading to long wait times for services14. Moreover, under the current healthcare structure in Bangladesh, respondents need to visit sub-district and district levels to access healthcare services, with a lack of services at the community level34,35. These factors contribute to persons with disabilities being highly dependent on family members to access healthcare services7. The inability to do so results in lower access to healthcare services, as reported in this study and other studies conducted in Bangladesh, as well as other LMICs14,28,35.
This research reveals a declining likelihood of accessing essential healthcare services with increasing age among individuals with disabilities. This trend aligns with recent studies in South Asia, including Bangladesh, and Africa, highlighting similar disparities faced by younger children with disabilities36,37. This concerning link between age and healthcare access might stem from several interconnected factors. Firstly, strong family bonds and a deeper sense of responsibility often lead parents to prioritize the healthcare needs of their younger children36. This attentiveness might wane with age, as expectations shift towards greater independence. Secondly, younger individuals with disabilities often rely heavily on their parents for daily care and healthcare decision-making. As they age and gain more autonomy, navigating the complexities of the healthcare system independently can become a significant barrier5. Finally, adults with disabilities often receive support from a wider network, including extended family, government programs, and community services. While beneficial, navigating this complex web of support can be challenging, contributing to access disparities. In response, it is crucial to implement awareness campaigns highlighting the importance of healthcare access for individuals with disabilities across all age groups, develop age-specific support systems catering to the unique needs of children and adults with disabilities, and empower individuals with disabilities to advocate for their own healthcare needs and navigate the system effectively. However, these focal points are lacking in LMICs and specifically in Bangladesh.
We identified a decreased likelihood of accessing healthcare services among persons with disabilities who are not in formal partnerships. This finding prompt consideration of several potential underlying factors. Firstly, individuals without formal partners may lack the social support typically provided by a partner, which can be instrumental in navigating healthcare systems, scheduling appointments, or arranging transportation to healthcare facilities38. Secondly, persons with disabilities who are not in formal partnerships may face heightened financial burdens, including higher out-of-pocket healthcare costs, which could deter them from seeking necessary medical care39. Furthermore, emotional barriers may play a role. Those without formal partners may experience feelings of loneliness or isolation, which can impact their motivation or ability to engage with healthcare services39,40. Lastly, stigma and discrimination within healthcare settings may contribute to lower healthcare access. Individuals without formal partners may encounter bias or prejudice, leading to reluctance or avoidance in seeking care41.
We found divisional-level variations in healthcare services access among persons with disabilities in Bangladesh, with respondents in Sylhet and Chattogram divisions reporting higher likelihoods of accessing healthcare services. These findings are consistent with previous studies in Bangladesh, which have also documented variations in healthcare services access across divisions34,35. Several factors may contribute to these divisional-level variations. Geographic disparities, such as differences in healthcare infrastructure and availability of facilities, could play a significant role. Sylhet and Chattogram divisions may have better-developed healthcare systems, resulting in improved access for persons with disabilities6. Socioeconomic differences between divisions, including variations in income levels and employment opportunities, could also impact healthcare access6,7. Additionally, population distribution and cultural factors may influence healthcare services access, with divisions having larger populations or different cultural attitudes towards disability potentially affecting service availability and utilization.
We discovered that one in four persons with disabilities in Bangladesh do not access healthcare services when needed. The reasons for not accessing healthcare services include the associated costs, lack of family support, and the absence of healthcare centres in their area. Additionally, we found that the likelihood of accessing healthcare services varied depending on marital status, family wealth quintile, and place of residence. These findings highlight the severe vulnerability faced by persons with disabilities in Bangladesh. Policies and programs aimed at ensuring healthcare services for persons with disabilities are crucial. This includes raising awareness about the importance of ensuring healthcare services for persons with disabilities and strengthening healthcare facilities to provide appropriate care. The government should also consider incorporating free healthcare services for persons with disabilities as part of its social safety net program.
This study possesses several strengths as well as a few limitations. To our knowledge, it represents the first nationally representative exploration conducted in Bangladesh examining the access to healthcare services among persons with disabilities at the national level and its correlates. It is based on a sizable sample derived from a nationally representative household survey, and recognized procedures were utilized to measure the receipt of healthcare services. Comprehensive statistical modelling employing a hierarchical data structure was employed for data analysis, with sampling weights considered in all analyses. Consequently, the findings are robust and applicable for informing the development of national-level policies and programs. However, the primary limitations of this study include the reliance on cross-sectional data, which limits our ability to establish causality, as the findings are purely correlational. Additionally, the survey relied on self-reported healthcare data, which may introduce the potential for misreporting certain healthcare experiences. Data were collected through respondent-provided answers without validation opportunities, suggesting the possibility of recall bias, although any such bias is likely to be random. Moreover, aside from the factors adjusted in the model, health and environmental variables may contribute to healthcare utilization, underscoring their importance for inclusion in the model. Unfortunately, these data were unavailable in the survey, limiting our ability to consider them. Despite these limitations, the findings of this study are poised to make meaningful contributions to the development of national-level policies and programs.
Data availability
The datasets utilized and analyzed in this study are accessible through the Bangladesh Bureau of Statistics (BBS). Interested researchers need to submit a research proposal to the BBS by sending email to dg@bbs.gov.bd. Upon review, the BBS will provide the dataset, as they did with us, in deidentified form.
Abbreviations
- PWD:
-
Persons with disabilities
- WHO:
-
World Health Organization
- LMICs:
-
Low- and middle-income countries
- BBS:
-
Bangladesh Bureau of Statistics
- aOR:
-
Adjusted odds ratios
- AIC:
-
Akaike information criteria
- BIC:
-
Bayesian information criteria
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Acknowledgements
The authors extend their gratitude to the Bangladesh Bureau of Statistics (BBS) for providing access to the 2021 National Survey on Persons with Disabilities data. This research did not receive specific grants from funding agencies in the public, commercial, or not-for-profit sectors.
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M.R. and M.S.R. conceived and designed the study, conducted data analysis. M.R. and M.N.K. drafted the initial manuscript. M.N.K. and M.M.R. critically reviewed and edited previous versions of the manuscript. All authors have approved the final version of the manuscript.
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Rahman, M., Rana, M.S., Rahman, M.M. et al. Healthcare services access challenges and determinants among persons with disabilities in Bangladesh. Sci Rep 14, 19187 (2024). https://doi.org/10.1038/s41598-024-70418-2
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DOI: https://doi.org/10.1038/s41598-024-70418-2
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