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Is India's public health care system prepared for cervical cancer screening?: Evaluating facility readiness from the fourth round of the District Level Household and Facility Survey (DLHS-4).

ABSTRACT: India's cervical cancer screening program was launched in 2016. We evaluated baseline facility readiness using nationally representative data from the 2012-13 District Level Household and Facility Survey on 4 tiers of the public health care system - 18,367 sub-health centres (SHCs), 8540 primary health centres (PHCs), 4810 community health centres and 1540 district/sub-divisional hospitals. To evaluate facility readiness we used the Improving Data for Decision Making in Global Cervical Cancer Programmes toolkit on six domains - potential staffing, infrastructure, equipment and supplies, infection prevention, medicines and laboratory testing, and data management. Composite scores were created by summing responses within domains, standardizing scores across domains at each facility level, and averaging across districts/states. Overall, readiness scores were low for cervical cancer screening. At SHCs, the lowest scores were observed in 'infrastructure' (0.55) and 'infection prevention' (0.44), while PHCs had low 'potential staffing' scores (0.50) due to limited manpower to diagnose and treat (cryotherapy) potential cases. Scores were higher for tiers conducting diagnostic work-up and treatment/referral. The highest scores were in 'potential staffing' except for PHCs, while the lowest scores were in 'infection & prevention' and 'medicines and laboratory'. Goa and Maharashtra were consistently among the top 5 ranking states for readiness. Substantial heterogeneity in facility readiness for cervical cancer screening spans states and tiers of India's public healthcare system. Infrastructure and staffing are large barriers to screening at PHCs, which are crucial for referral of high-risk patients. Our results suggest focus areas in cervical cancer screening at the district level for policy makers.

SUBMITTER: Dhillon PK

PROVIDER: S-EPMC7783584 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIn developing countries like Uganda, there are shortages of health workers especially medical specialists. The referral process is frustrating to both patients and health workers (HWs). This is due to delays in accessing laboratory results/tests, costs of travel with resultant delay in consulting specialists. Telemedicine can help reduce these problems. To facilitate successful and sustainable telemedicine implementation the eHealth readiness of different stakeholders should be undertaken. This study was conducted at public health facilities (HFs) in Uganda to assess eHealth readiness across four domains; core, e-learning, clinical and technology, that might hamper adoption and integration of telemedicine.MethodsA cross-sectional study using mixed methods for data collection was conducted at health center IVs, regional and national referral hospitals. The study was conducted in three parts. Quantitative data on core, e-learning and clinical readiness domains were collected from doctors and other healthcare providers (nurses/midwives, public health officers and allied healthcare workers). Respondents were categorised into 'aware and used telemedicine', 'aware and not used', 'unaware of telemedicine'. Focus Group Discussions were conducted with patients to further assess core readiness. Technology readiness was assessed using a questionnaire with purposively selected respondents; directors, heads of medical sections, and hospital managers/superintendents. Descriptive statistics and correlations were performed using Spearman's rank order test for relationship between technology readiness variables at the HFs.Results70% of health professionals surveyed across three levels of HF were aware of telemedicine and 41% had used telemedicine. However, over 40% of HWs at HC-IV and RRH were unaware of telemedicine. All doctors who had used telemedicine were impressed with it. Telemedicine users and non-users who were aware of telemedicine showed core, clinical, and learning readiness. Patients were aware of telemedicine but identified barriers to its use. A weak but positive correlation existed between the different variables in technology readiness.ConclusionRespondents who were aware of and used telemedicine across all HF levels indicated core, learning and clinical readiness for adoption and integration of telemedicine at the public HFs in Uganda, although patients noted potential barriers that might need attention. In terms of technology readiness, gaps still exit at the various HF levels.

Project description:Background:A pregnancy is described unintended if it is either unwanted or mistimed. The former occurs when no child or no more children are desired, and the latter is when the conception occurs earlier than the desired time, but wanted later. Unwanted pregnancy causes a serious health, economic, and social problem to the woman and her family. In the study area, there is limited data on unintended pregnancy. Therefore, this study fills this gap by studying the magnitude of unintended pregnancy and its associated factors among pregnant women attending antenatal care in the study area. Methods:A facility-based cross-sectional study was done from 1 March to 1 April 2019, among 612 randomly selected pregnant women attending antenatal care at Bako Tibe district public health facility. The data were collected via interview using a structured and pretested questionnaire. They were entered into EpiData Version 3.1 and SPSS Version 23 for cleaning and analyses. The variables, which were significant at P ? 0.2 in the bivariate logistic regression, were included in the multivariable analysis. The direction and strength of statistical association were measured by an odds ratio with 95% CI. A variable with a P value < 0.05 was considered a significantly associated factor with the outcome one. Results:In this study, the prevalence of unintended pregnancy was 33.3%, at 95% CI (29.8, 37.3). The factors that had significant association with unintended pregnancy were family?size ? 6 (AOR = 8.0, 95% CI: 1.38-46.66), women who did not communicate about family planning with their husbands (AOR = 2.8, 95% CI: 1.50-5.20), and parity ? 5 (AOR = 3.0, 95% CI: 1.34-6.8). Conclusion:About one-third of the pregnant women reported that their pregnancy was unintended. Parity, family size, and lack of spousal communication showed a significant association with the problem. To decrease the current level of unintended pregnancy in the area, the Bako Tibe District Health Bureau and the health workers should work harder to scale up spousal communication on family planning.

Project description:BackgroundEvaluation of a surveillance system should be conducted on regular bases to ensure that the system is working as envisioned or not. Therefore, we evaluated Dangila district's public health surveillance system performance in line with its objectives.MethodsIn August 2017, a concurrent embedded mixed quantitative/qualitative, facility-based cross-sectional study was conducted in Dangila district among 12 health facilities/sites. The qualitative part involved 12 purposively selected key stakeholders interview. A semi-structured questionnaire adapted from updated CDC guideline for evaluating public health surveillance system was used for data collection through face to face interview and record review. The major qualitative findings were narrated and summarized based on thematic areas to supplement the quantitative findings. The quantitative findings were analyzed using Microsoft Excel 2007.ResultsAll necessary surveillance guidelines, registers and reporting formats were distributed adequately to health facilities. Only the district health office has Emergency Preparedness and Response Plan (EPRP), but not supported by the budget required to respond in case an emergency occurred. There were no regular data analysis and interpretations in terms of time, place and person. Weekly report completeness and timeliness were 100 and 94.6% respectively. The information collected was considered relevant by its users to detect outbreaks early with high acceptability. All stakeholders agreed that the system is simple, easy to understand, representative and can accommodate modifications. Written feedbacks were not obtained in all health facilities. The supervision checklist obtained in the district was not adequate to assess surveillance activities in detail. The calculated positive predictive value for malaria was 11%.ConclusionsThe surveillance system was simple, useful, flexible, acceptable and representative. Report completeness and timelines were above the national and international targets. However, the overall implementation of the system in the district was not satisfactory to achieve the intended objective of surveillance for public health action due to the lack of regular data analysis and feedback dissemination. To create a well-performing surveillance system, regular supervision and epidemiologically analyzed and interpreted feedback system is mandatory.

Project description:Understanding the barriers that women in Haiti face to giving birth at a health facility is important for improving coverage of facility delivery and reducing persistently high maternal mortality. We linked health facility survey data and population survey data to assess the role of the obstetric service environment in affecting women's use of facility delivery care.Data came from the 2012 Haiti Demographic and Health Survey (DHS) and the 2013 Haiti Service Provision Assessment (SPA) survey. DHS clusters and SPA facilities were linked with their geographic coordinate information. The final analysis sample from the DHS comprised 4,921 women who had a live birth in the 5 years preceding the survey. Service availability was measured with the number of facilities providing delivery services within a specified distance from the cluster (within 5 kilometers for urban areas and 10 kilometers for rural areas). We measured facility readiness to provide obstetric care using 37 indicators defined by the World Health Organization. Random-intercept logistic regressions were used to model the variation in individual use of facility-based delivery care and cluster-level service availability and readiness, adjusting for other factors.Overall, 39% of women delivered their most recent birth at a health facility and 61% delivered at home, with disparities by residence (about 60% delivered at a health facility in urban areas vs. 24% in rural areas). About one-fifth (18%) of women in rural areas and one-tenth (12%) of women in nonmetropolitan urban areas lived in clusters where no facility offered delivery care within the specified distances, while nearly all women (99%) in the metropolitan area lived in clusters that had at least 2 such facilities. Urban clusters had better service readiness compared with rural clusters, with a wide range of variation in both areas. Regression models indicated that in both rural and nonmetropolitan urban areas availability of delivery services was significantly associated with women's greater likelihood of using facility-based delivery care after controlling for other covariates, while facilities' readiness to provide delivery services was also important in nonmetropolitan urban areas.Increasing physical access to delivery care should become a high priority in rural Haiti. In urban areas, where delivery services are more available than in rural areas, improving quality of care at facilities could potentially lead to increased coverage of facility delivery.

Project description:BackgroundActionable information about the readiness of health facilities is needed to inform quality improvement efforts in maternity care, but there is no consensus on the best approach to measure readiness. Many countries use the WHO's Service Availability and Readiness Assessment (SARA) or the Demographic and Health Survey (DHS) Programme's Service Provision Assessment to measure facility readiness. This study compares measures of childbirth service readiness based on SARA and DHS guidance to an index based on WHO's quality of maternal and newborn care standards.MethodsWe used cross-sectional data from Performance Monitoring for Action Ethiopia's 2019 survey of 406 health facilities providing childbirth services. We calculated childbirth service readiness scores using items based on SARA, DHS and WHO standards. For each, we used three aggregation methods for generating indices: simple addition, domain-weighted addition and principal components analysis. We compared central tendency, spread and item variation between the readiness indices; concordance between health facility scores and rankings; and correlations between readiness scores and delivery volume.ResultsIndices showed moderate agreement with one another, and all had a small but significant positive correlation with monthly delivery volume. Ties were more frequent for indices with fewer items. More than two-thirds of items in the relatively shorter SARA and DHS indices were widely (>90%) available in hospitals, and half of the SARA items were widely (>90%) available in health centres/clinics. Items based on the WHO standards showed greater variation and captured unique aspects of readiness (eg, quality improvement processes, actionable information systems) not included in either the SARA or DHS indices.ConclusionSARA and DHS indices rely on a small set of widely available items to assess facility readiness to provide childbirth care. Expanded selection of items based on the WHO standards can better differentiate between levels of service readiness.

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Is India's public health care system prepared for cervical cancer screening?: Evaluating facility readiness from the fourth round of the District Level Household and Facility Survey (DLHS-4).

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