The Impact of Improving Access to Primary Care

Background: Access to primary healthcare is crucial for the delivery of Kenya’s universal health coverage policy. However, disparities in healthcare have proved to be the biggest challenge for implementing primary care in poor-urban resource settings. In this study, we assessed the level of access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya. Methods: The data were drawn from the Lown scholars’ study of 300 randomly selected households in Viwandani slums (Nairobi, Kenya), between June and July 2018. Access to primary care was measured using Penchansky and Thomas’ model. Access index was constructed using principal component analysis and recorded into tertiles with categories labeled as poor, moderate, and highest. Generalized ordinal logistic regression analysis was used to determine the factors associated with access to primary care. The adjusted odds ratios (AOR) and 95 percent confidence intervals were used to interpret the strength of associations. Results: The odds of being in the highest access tertile versus the combined categories of lowest and moderate access tertile were three times higher for males than female-headed households (AOR 3.05 [95% CI 1.47-6.37]; p<.05). Households with an average quarterly out-of-pocket healthcare expenditure of ≥USD 30 had significantly lower odds of being in the highest versus combined categories of lowest and moderate access tertile compared to those spending ≤ USD 5 (AOR 0.36 [95% CI 0.18-0.74]; p<.05). Households that sought primary care from private facilities had significantly higher odds of being in the highest versus combined categories of lowest and moderate access tertiles compared to those who sought care from public facilities (AOR 6.64 [95% CI 3.67-12.01]; p<.001). Conclusion: In Nairobi slums in Kenya, living in a female-headed household, seeking care from a public facility, and paying out-of-pocket for healthcare are significantly associated with low access to primary care. Therefore, the design of the UHC program in this setting should prioritize quality improvement in public health facilities and focus on policies that encourage economic empowerment of female-headed households to improve access to primary healthcare.

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Section: Discussionmentioning

confidence: 99%

Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya

Otieno

Wambiya

Mohamed

et al. 2020

Preprint

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“…This issue is likely due to the simultaneous launching of the Electronic Health Record Plan (EHRP) with the UFPP, which could have resulted in a remarkable difference in the recorded statistics between electronic-based and paper-based registrations. Another possible reason to decline in the rate of maternal care may be the low quality of governmental health sector services [21] after implementing the EHRP, as the healthcare providers had to ll in a high number of electronic forms for a referring mother and thus did not pay enough attention to the needs of clients, and mainly referred them to the private sector based on the electronic system. As a consequence, the rate of maternal care was gradually decreased.…”

Section: Discussionmentioning

confidence: 99%

“…According to previous studies, better access to healthcare services can improve quality [21] and decrease maternal mortality rate [22]. Also, reduction in MMR was considered as a signi cant achievement of the family physician reforms in previous studies [23,24].…”

Section: Discussionmentioning

confidence: 99%

Impact of Urban Family Physician Program on health indicators in Iran: an interrupted time series analysis

Hajibadali

Hashemiparast

Iraji

et al. 2020

Preprint

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Background: In 2015, the Iranian Urban Family Physician Program (UFPP) was implemented in urban health centers. In the present study, we aimed to evaluate the trend of health indicators across a ten-year period in an Iranian population and to measure the possible effects of this intervention on health indicators.Methods: An interrupted time series analysis (ITSA) was performed on a ten-years (from 2009 to 2018) of annual data set covering all healthcare indicators associated to the UFPP in Bonab County, Iran. The time of intervention was at the 7th data point in 2015. Health indicators were divided into two groups including process indicators (Modern Contraceptives Use (MCU), Prenatal and Postpartum care visits, Clinical Breast Examinations (CBE), brucellosis and tuberculosis (TB) incidence), and outcome indicators (Total fertility rate (TFR), Maternal Mortality Rate (MMR), Stillbirth Rate (SBR), Infant mortality Rate (IMR), Neonatal Mortality Rate (NMR), 1-59 months old Mortality Rate, Low Birth Weight (LBW), crud birth rate (CBR) and the rates of Infants fed by Formula milk.Results: The ratio of some process indicators, including the MCU (b = -5.13. 95% Confidence Interval (CI): -8.01 to -2.26), incidence of tuberculosis (b = .016. 95% CI: -1.01 to 1.34) and brucellosis (b = 3.04. 95% CI: -3.4 to 9.50) had a decreasing trend from 2008 to 2018. However, the CBE (b = 0.60. 95% CI: -4.97 to 6.18), prenatal care visits, (b= -4.25. 95% CI: -10.4 to 1.5) postpartum care visits (b = -22.83. 95% CI: -31.44 to -14.21), and first time care visits during pregnancy (b = -5.59. 95% CI: -14.52 to 3.32) were found with increasing trends. In contrast, the rate of at least six-time care visits during pregnancy was found to be in a decreasing trend (b = -10.32. 95% CI: -16.82 to -3.82). A series of outcome indicators including MMR (b = 24.78. 95% CI: 2.88 to 46.61), TFR (b= 0.07. 95% CI: 0.01 to 0.13), 1-59 Month old Mortality Rate (b = -.16. 95% CI: -.45 to .12), LBW (b = .33. 95% CI: -.08 to .40), Formula-fed infant rate (b = .48. 95% CI: -.007 to .97), Delivery rate in high-risk groups (b = 1.85. 95% CI: 1.22 to 2.49) and CS (b = -3.43. 95% CI: -5.73 to -1.12) had increasing trends from 2008 to 2018. In contrast, SBR (b = -.04. 95% CI: -.21 to .12), NMR (b = -.77. 95% CI: -2.91 to 1.36), IMR (b = -1.05. 95% CI: -2.99 to .89) and CBR (b = -.97. 95% CI: -1.85 to -.09) were in decreasing trends. Conclusion: The UFPP was found with positive impacts on some process, proximal and distal outcome indicators, but its positive impacts on the trends of some critical indicators, including MMR, NMR and IMR remained questionable. Our findings may shed light on the role of some other factors like social determinants of health in the programs like the UFPP.

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“…Hence a multivariate ordered logistic regression was conducted. We tted a proportional odds model; however, following the Brant test, we found that the critical assumption of parallel slopes [1] was violated in some of the covariates (age group, education level and primary source of care). Consequently, we implemented a partial proportional odds model, which is less restrictive, and relaxes the proportional odds assumption, allowing the effect of the explanatory covariates to vary [24].…”

Section: Discussionmentioning

confidence: 99%

Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya

Otieno

Wambiya

Mohamed

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Access to primary healthcare is crucial for the delivery of Kenya’s universal health coverage policy. However, disparities in healthcare have proved to be the biggest challenge for implementing primary care in poor-urban resource settings. In this study, we assessed the level of access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya. Methods: The data were drawn from the Lown scholars’ study of 300 randomly selected households in Viwandani slums (Nairobi, Kenya), between June and July 2018. Access to primary care was measured using Penchansky and Thomas’ model. Access index was constructed using principal component analysis and recorded into tertiles with categories labeled as poor, moderate, and highest. Generalized ordinal logistic regression analysis was used to determine the factors associated with access to primary care. The adjusted odds ratios (AOR) and 95 percent confidence intervals were used to interpret the strength of associations. Results: The odds of being in the highest access tertile versus the combined categories of lowest and moderate access tertile were 3.5 times higher for males than female-headed households (AOR 3.05 [95% CI 1.47-6.37]; p<.05). Households with an average quarterly out-of-pocket healthcare expenditure of ≥$30 had significantly lower odds of being in the highest versus combined categories of lowest and moderate access tertile compared to those spending ≤ $5.(AOR 0.36 [95% CI 0.18-0.74]; p<.05). Households that sought primary care from private facilities had significantly higher odds of being in the highest versus combined categories of lowest and moderate access tertiles compared to the public facilities (AOR 6.64 [95% CI 3.67-12.01]; p<.001). Conclusion: In Nairobi slums in Kenya, living in a female-headed household, seeking care from a public facility, and paying out of pocket for healthcare are significantly associated with low access to primary care. Therefore, the design of the UHC program in this setting should prioritize quality improvement in public health facilities and focus on policies that encourage economic empowerment of female-headed households to improve access to primary healthcare

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The Impact of Improving Access to Primary Care

Cited by 7 publications

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Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya

Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya

Impact of Urban Family Physician Program on health indicators in Iran: an interrupted time series analysis

Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya

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