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Record W4399760405 · doi:10.1111/cea.14524

Association Between Health Insurance Status and Quality of Life Among People With Asthma in Kolkata

2024· article· en· W4399760405 on OpenAlexaff
Sudipta Nandan, Prasun Haldar, Paige Lacy, Saibal Moitra

Bibliographic record

VenueClinical & Experimental Allergy · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAsthmaMedicineEnvironmental healthAssociation (psychology)Quality of life (healthcare)Health insuranceFamily medicineGerontologyHealth careInternal medicinePsychologyPolitical scienceNursing

Abstract

fetched live from OpenAlex

Out-of-pocket expenditure for chronic diseases poses a significant economic burden, especially in low- and middle-income countries such as India [1]. Asthma, affecting one in every 50 people in India, accounts for nearly one-tenth of the global asthma population [2]. According to an estimate, the annual cost of asthma treatment per patient is about $240, totalling approximately $9.41 billion annually in India [3]. Despite numerous health schemes of provincial or federal governments, availability of health insurance from the government or privately owned insurance companies and complementary health insurance for employees in most sectors, nearly 60% of all Indians do not possess any health insurance policies. Moreover, most health insurance schemes do not cover physician consultation at an outpatient clinic. Although the disparity in healthcare coverage is recognised as a factor in the economic burden of asthma, there is a lack of studies on the specific role of health insurance on the health-related quality of life (HRQL) in asthma patients. In this cross-sectional study, we recruited 224 mild-to-moderate adult asthma patients from two tertiary healthcare facilities in Kolkata. We collected demographic information, such as age, sex, body mass index (BMI), education, employment, addiction (smoking and alcohol consumption), family type (nuclear/joint) and health insurance (yes/no) by questionnaire. Asthma was physician-diagnosed. Comorbidity was assessed by the Charlson Comorbidity Index (CCI) [4]. Asthma control was assessed by the asthma control test (ACT) and was categorised as well-controlled (score ≥ 20), partially controlled (score 16–19) and poorly controlled (score < 16) as per the established guidelines [5]. HRQL was assessed using the asthma quality-of-life questionnaire (AQLQ) [6]. All questionnaires were self-administered, utilising prevalidated Bengali versions of the ACT and AQLQ. The study was approved by the Human Research Ethics Committee of the Allergy & Asthma Research Centre, Kolkata (CREC-AARC-0027/18), and participants provided signed informed consent. The repository shows the demographic and clinical characteristics of the study participants. Descriptive statistics were presented as mean (standard deviation [SD]), median (interquartile range [IQR]) or frequencies (%) as appropriate. We constructed multivariable linear regression models to test the associations between health insurance and AQLQ total and subdomain scores adjusted for age, sex, education, employment status, alcohol consumption and CCI score. We stratified the models by sex and asthma control as specified earlier and compared the estimates between sex and asthma control groups using the Wald test. Based on the a priori mean (SD) of the AQLQ total score of 5.24 (0.67) in a previously published report [7], our sample size achieved 100% power to detect a clinically important difference in the AQLQ score. 56% of the patients were female (mean age of 35 ± 16 years). 12% were smokers, and 35% reported possessing health insurance. 63% had well-controlled asthma, whereas 15% and 22% reported partially controlled and poorly controlled asthma, respectively. The mean (SD) AQLQ total score was 5.6 (1.1). In linear models adjusted for confounders, possessing health insurance was associated with a better AQLQ total score (regression coefficient [β]: 0.66; 95% confidence interval [CI]: 0.33, 1.00). We observed similar associations between health insurance and AQLQ symptom score (β: 0.60; 95% CI: 0.25, 0.97), activity limitation (β: 0.78; 95% CI: 0.41, 1.14), emotional function (β: 0.60; 95% CI: 0.20, 1.00) and environmental stimuli score (β: 0.64; 95% CI: 0.21, 1.07). Additional materials can be found at https://osf.io/58x3h/. We found that the association between health insurance and higher AQLQ total scores was statistically significant for both males and females. However, the association was notably stronger in males (β: 0.88; 95% CI: 0.40, 1.36) than in females (β: 0.48; 95% CI: 0.004, 0.96), with a Wald test p-value < 0.05, indicating a significant difference. Except for the activity limitation subdomain, associations between health insurance and other AQLQ subdomain scores were consistently significant in males but not in females, with significant differences in magnitude between sexes (Figure 1A). When stratified by asthma control, the associations between health insurance and AQLQ total and subdomain scores were significant only in the well-controlled group, and not in the partially or poorly controlled groups (Figure 1B). We observed that health insurance is significantly associated with better quality of life in asthma. This association is stronger among males than among females. Also, health insurance is associated with better quality of life only among asthma patients whose symptoms are well-controlled, but the associations were inconsistent in patients with partially or poorly controlled asthma. The rising economic disparity is a major concern in most low- and middle-income countries with an increasing prevalence of noncommunicable diseases [1]. Our findings are relatable to other studies on out-of-pocket expenditure in relation to poor HRQL in patients with diabetes, hypertension and chronic kidney diseases [8, 9]. Therefore, more large-scale epidemiological studies are required for a better understanding of the economic impact of asthma on HRQL. Our study is the first report to demonstrate the importance of health insurance in patients with chronic diseases such as asthma including participants of all ages and varying levels of symptom control. However, limitations include a lack of information about socio-economic status, place of residence, healthcare access and annual healthcare costs. Also, we could not capture information about disease severity, current treatment and compliance, which would have provided a more detailed view of the economic burden alongside health insurance coverage. Moreover, we could not determine the role of the limit (capping) of health insurance on out-of-pocket expenses. Our study discusses a pertinent issue of the global burden of asthma and advocates for more inclusive and universal healthcare coverage in India, particularly for the marginalised population. Nevertheless, it must be remembered that proper diagnosis, treatment and awareness of disease symptoms remain crucial determinants of HRQL in asthma. Su.M. conceptualised the study, performed the data analysis and wrote the manuscript. S.N. and S.M. collected and interpreted data and revised the manuscript. P.H. curated the data and revised the manuscript. P.L. revised the manuscript. Su.M. takes responsibility for the integrity of the study and the publication of the manuscript. The authors have nothing to report. The authors declare no conflicts of interest. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.114
GPT teacher head0.519
Teacher spread0.405 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2024
Admission routes1
Has abstractyes

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