What does this research mean for the field?

Health insurance coverage significantly increases healthcare service utilization among rural populations in Northern Tanzania, alongside factors such as higher income, marital status, recent illness, and chronic medication use. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.SUPPORTS_CONSENSUS.

What question did this study set out to answer?

To evaluate the association between health insurance status and healthcare service utilization among rural households in Hai District, Northern Tanzania.

August 30, 2026Discover Health SystemsOpen Access

Association between health insurance status and healthcare services utilization among rural population in Hai District Northern Tanzania

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Authors

TETimon S. Emaely MTMalale Tungu AAAmani Anaeli

Discussion

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Overview

Cross-sectional study finds health insurance significantly increases healthcare service utilization in rural households, highlighting the need for expanded coverage schemes.

Key Points

To evaluate the association between health insurance status and healthcare service utilization among rural households in Hai District, Northern Tanzania.
Conducted a cross-sectional survey using multistage purposive sampling among 494 household heads in Hai District, Northern Tanzania.
Assessed healthcare service utilization over the preceding 12 months as the primary outcome alongside socio-demographic, economic, and clinical covariates.
Analyzed data using chi-square tests and bivariable and multivariable logistic regression models to compute crude and adjusted odds ratios (AOR) with 95% confidence intervals.
Only 18.2% of participants had health insurance, and healthcare service utilization was significantly higher among the insured (43.3%) than the uninsured (23.3%; p < 0.001).
Multivariable logistic regression demonstrated that having health insurance significantly increased the odds of healthcare service utilization (AOR = 2.24; 95% CI: 1.22–4.11; p = 0.010).
Service utilization was independently associated with being married (AOR = 2.74; 95% CI: 1.41–5.30; p = 0.003), income > TZS 500,000 (AOR = 4.27; 95% CI: 2.03–8.99; p < 0.001), recent illness (AOR = 2.91; 95% CI: 1.80–4.73; p < 0.001), and chronic medication use (AOR = 3.38; 95% CI: 1.77–6.48; p < 0.001).

Cite This Study

Emaely et al. (2026) studied this question.

synapsesocial.com/papers/6a93f00a6c1a8fb52e79c1c8 https://doi.org/10.1007/s44250-026-00418-8

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August 30, 2026Discover Health SystemsOpen Access

Association between health insurance status and healthcare services utilization among rural population in Hai District Northern Tanzania

View Full Paper

Ask AI

Bookmark

Authors

TETimon S. Emaely MTMalale Tungu AAAmani Anaeli

Discussion

Member takes

Overview

Cross-sectional study finds health insurance significantly increases healthcare service utilization in rural households, highlighting the need for expanded coverage schemes.

Key Points

To evaluate the association between health insurance status and healthcare service utilization among rural households in Hai District, Northern Tanzania.
Conducted a cross-sectional survey using multistage purposive sampling among 494 household heads in Hai District, Northern Tanzania.
Assessed healthcare service utilization over the preceding 12 months as the primary outcome alongside socio-demographic, economic, and clinical covariates.
Analyzed data using chi-square tests and bivariable and multivariable logistic regression models to compute crude and adjusted odds ratios (AOR) with 95% confidence intervals.
Only 18.2% of participants had health insurance, and healthcare service utilization was significantly higher among the insured (43.3%) than the uninsured (23.3%; p < 0.001).
Multivariable logistic regression demonstrated that having health insurance significantly increased the odds of healthcare service utilization (AOR = 2.24; 95% CI: 1.22–4.11; p = 0.010).
Service utilization was independently associated with being married (AOR = 2.74; 95% CI: 1.41–5.30; p = 0.003), income > TZS 500,000 (AOR = 4.27; 95% CI: 2.03–8.99; p < 0.001), recent illness (AOR = 2.91; 95% CI: 1.80–4.73; p < 0.001), and chronic medication use (AOR = 3.38; 95% CI: 1.77–6.48; p < 0.001).

Cite This Study

Emaely et al. (2026) studied this question.

synapsesocial.com/papers/6a93f00a6c1a8fb52e79c1c8 https://doi.org/10.1007/s44250-026-00418-8

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