Dataset Information

Quality of malaria data in public health facilities in three provinces of Mozambique.

ABSTRACT:

Background

Malaria data reported through Mozambique's routine health information system are used to guide the implementation of prevention and control activities. Although previous studies have identified issues with the quality of aggregated data reported from public health facilities in the country, no studies have evaluated the quality of routine indicators recorded in health facility registries. This study addresses this issue by comparing indicators calculated from data from exit interviews and re-examinations of patients with data based on registry records from health facilities in order to measure the quality of registry data and data reporting in three provinces in Mozambique.

Methods

Data were collected from 1,840 outpatients from 117 health facilities in Maputo, Zambézia, and Cabo Delgado Provinces interviewed and examined as part of a malaria-specific health facility survey. Key indicators based on exit interview / re-examination data were compared to the same indicators based on records from health facility registries. Multivariable regression was performed to identify factors associated with indicators matching in re-examination / exit interview data and health facility registries. Aggregated indicators abstracted from facility registries were compared to those reported through the routine health management information system (HMIS) for the same time period.

Results

Sensitivity of exit interview / re-examination data compared with those recorded in facility registries was low for all indicators in all facilities. The lowest sensitivities were in Maputo, where the sensitivity for recording negative RDT results was 9.7%. The highest sensitivity was for recording positive RDT results in Cabo Delgado, at 75%. Multivariable analysis of factors associated with agreement between gold standard and registry data showed patients were less likely to be asked about having a fever in the triage ward in Maputo and Cabo Delgado (adjusted Odds Ratio 0.75 and 0.39 respectively), and in the outpatient ward in Cabo Delgado (aOR = 0.37), compared with the emergency department. Patients with positive RDT were also more likely to have RDT results recorded in all three provinces when patients had been managed according to national treatment guidelines during initial examination. Comparison of retrospective data abstracted from facility registries to HMIS data showed discrepancies in all three provinces. The proportion of outpatient cases with suspected and confirmed malaria were similar in registry and HMIS data across all provinces (a relatively low difference between registry and HMIS data of 3% in Maputo and Zambézia), though the total number of all-cause outpatient cases was consistently higher in the HMIS. The largest difference was in Maputo, where a total of 87,992 all-cause outpatient cases were reported in HMIS, compared with a total of 42,431 abstracted from facility registries.

Conclusion

This study shows that care should be taken in interpreting trends based solely on routine data due to data quality issues, though the discrepancy in all-cause outpatient cases may be indicative that register availability and storage are important factors. As such, simple steps such as providing consistent access and storage of registers that include reporting of patient fever symptoms might improve the quality of routine data recorded at health facilities.

SUBMITTER: Colborn JM

PROVIDER: S-EPMC7170236 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

Quality of malaria data in public health facilities in three provinces of Mozambique.

Colborn James M JM Zulliger Rose R Da Silva Mariana M Mathe Guidion G Chico Ana Rita AR Castel-Branco Ana Christina AC Brito Frederico F Andela Marcel M de Leon Gabriel Ponce GP Saifodine Abuchahama A Candrinho Baltazar B Plucinski Mateusz M MM

PloS one 20200420 4

<h4>Background</h4>Malaria data reported through Mozambique's routine health information system are used to guide the implementation of prevention and control activities. Although previous studies have identified issues with the quality of aggregated data reported from public health facilities in the country, no studies have evaluated the quality of routine indicators recorded in health facility registries. This study addresses this issue by comparing indicators calculated from data from exit in ...[more]

PMID: 32310983

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Project description:BackgroundFever associated with malaria is the leading cause of health care-seeking in Mozambique, yet there is limited evidence on the quality of malaria case management. This study evaluated the quality of malaria service provision offered in public health facilities in Mozambique.MethodsA cross-sectional assessment was conducted in April-May 2018 in three provinces of Mozambique: Maputo Province (low malaria burden), Cabo Delgado (high), and Zambézia (high). The study included all secondary and tertiary facilities and a random sample of primary facilities in each province. Data collection included exit interviews and re-examinations of 20 randomly selected outpatient service patients, interviews with up to five health care providers and the health facility director, a stockroom inventory and routine data abstraction.ResultsA total of 319 health care providers and 1840 patients from 117 health facilities were included. Of these, 1325 patients (72%) had suspected malaria (fever/history of fever) and 550 (30%) had febrile, confirmed malaria with the highest burden in Cabo Delgado (43%), followed by Zambézia (34%) and Maputo Province (2%). Appropriate management of malaria cases, defined as testing malaria suspects and treating confirmed cases with the correct dose of anti-malarial, was highest in Zambézia and Cabo Delgado where 52% (95% CI 42-62) and 49% (42-57) of febrile malaria cases were appropriately managed, respectively. Only 14% (5-34) of febrile cases in Maputo Province were appropriately managed. The biggest gap in the malaria case management pathway was failure to test febrile patients, with only 46% of patients with this indication tested for malaria in Maputo Province. Additionally, anti-malarial treatment of patients with a negative malaria test result was common, ranging from 8% (2-23) in Maputo Province to 22% (14-32) of patients with a negative test in Zambézia. Only 58-62% of patients prescribed an anti-malarial correctly recited dosing instructions. Provider training and malaria knowledge was low outside of Zambézia and supervision rates were low in all provinces. Factors associated with correct case management varied by province and included patient age, facility type, treatment and testing availability, supervision, and training.ConclusionThese findings underscore the need to strengthen provider testing of all patients with fever, provider adherence to negative test results, and effective counselling of patients across epidemiological settings in Mozambique.

Project description:BACKGROUND: Angola's malaria case-management policy recommends treatment with artemether-lumefantrine (AL). In 2006, AL implementation began in Huambo Province, which involved training health workers (HWs), supervision, delivering AL to health facilities, and improving malaria testing with microscopy and rapid diagnostic tests (RDTs). Implementation was complicated by a policy that was sometimes ambiguous. METHODS: Fourteen months after implementation began, a cross-sectional survey was conducted in 33 outpatient facilities in Huambo Province to assess their readiness to manage malaria and the quality of malaria case-management for patients of all ages. Consultations were observed, patients were interviewed and re-examined, and HWs were interviewed. RESULTS: Ninety-three HWs and 177 consultations were evaluated, although many sampled consultations were missed. All facilities had AL in-stock and at least one HW trained to use AL and RDTs. However, anti-malarial stock-outs in the previous three months were common, clinical supervision was infrequent, and HWs had important knowledge gaps. Except for fever history, clinical assessments were often incomplete. Although testing was recommended for all patients with suspected malaria, only 30.7% of such patients were tested. Correct testing was significantly associated with caseloads < 25 patients/day (odds ratio: 18.4; p < 0.0001) and elevated patient temperature (odds ratio: 2.5 per 1 degrees C increase; p = 0.007). Testing was more common among AL-trained HWs, but the association was borderline significant (p = 0.072). When the malaria test was negative, HWs often diagnosed patients with malaria (57.8%) and prescribed anti-malarials (60.0%). Sixty-six percent of malaria-related diagnoses were correct, 20.1% were minor errors, and 13.9% were major (potentially life-threatening) errors. Only 49.0% of malaria treatments were correct, 5.4% were minor errors, and 45.6% were major errors. HWs almost always dosed AL correctly and gave accurate dosing instructions to patients; however, other aspects of counseling needed improvement. CONCLUSION: By late-2007, substantial progress had been made to implement the malaria case-management policy in a setting with weak infrastructure. However, policy ambiguities, under-use of malaria testing, and distrust of negative test results led to many incorrect malaria diagnoses and treatments. In 2009, Angola published a policy that clarified many issues. As problems identified in this survey are not unique to Angola, better strategies for improving HW performance are urgently needed.

Project description:BackgroundRoutine health facility data are an important source of health information in resource-limited settings. Regular quality assessments are necessary to improve the reliability of routine data for different purposes, including estimating facility-based maternal mortality. This study aimed to assess the quality of routine data on deliveries, livebirths and maternal deaths in Kampala City, Uganda.MethodsWe reviewed routine health facility data from the district health information system (DHIS2) for 2016 to 2021. This time period included an upgrade of DHIS2, resulting in two datasets (2016-2019 and 2020-2021) that were managed separately. We analysed data for all facilities that reported at least one delivery in any of the six years, and for a subset of facilities designated to provide emergency obstetric care (EmOC). We adapted the World Health Organization data quality review framework to assess completeness and internal consistency of the three data elements, using 2019 and 2021 as reference years. Primary data were collected to verify reporting accuracy in four purposively selected EmOC facilities. Data were disaggregated by facility level and ownership.ResultsWe included 255 facilities from 2016 to 2019 and 247 from 2020 to 2021; of which 30% were EmOC facilities. The overall completeness of data for deliveries and livebirths ranged between 53% and 55%, while it was < 2% for maternal deaths (98% of monthly values were zero). Among EmOC facilities, completeness was higher for deliveries and livebirths at 80%; and was < 6% for maternal deaths. For the whole sample, the prevalence of outliers for all three data elements was < 2%. Inconsistencies over time were mostly observed for maternal deaths, with the highest difference of 96% occurring in 2021.ConclusionsRoutine data from childbirth facilities in Kampala were generally suboptimal, but the quality was better in EmOC facilities. Given likely underreporting of maternal deaths, further efforts to verify and count all facility-related maternal deaths are essential to accurately estimate facility-based maternal mortality. Data reliability could be enhanced by improving reporting practices in EmOC facilities and streamlining reporting processes in private-for-profit facilities. Further qualitative studies should identify critical points where data are compromised, and data quality assessments should consider service delivery standards.

Project description:IntroductionAdolescents and youths who need exceptional healthcare are the shapers and leaders of our global future. However, many of them are died prematurely, while others suffer from diseases partly because of the poor quality of health services. Thus, this study aimed to assess the quality of Adolescent and Youth-friendly Health Services (AYFHS) and associated factors in the public health facilities of Dehana district, Northeast Ethiopia.MethodsA facility-based quantitative cross-sectional study supported with a qualitative component was conducted from February 24 to March 30, 2020. The quality of AYFHS was measured using the Donbidean framework (structure, process and output component). Accordingly, a total of 431 adolescents and youths, five health facilities, twenty-five client-provider interaction observations, and nine key informant interviews were conducted. Binary logistic regression analysis was done, and variables with a p-value of < 0.05 and Adjusted Odds Ratio (AOR) with its 95% Confidence Interval (CI) were used to measure the association. The qualitative data were audio-recorded and transcribed verbatim. Then, Open Code 4.03 software was used to manage and analyze the data.ResultsThe quality of adolescent and youth-friendly health services was 58.8, 46.4, and 47.2% for structural, process, and output quality dimensions, respectively. The predictor variables for output quality were, being a student (AOR: 2.07, 95%CI: 1.07-3.40), farmers (AOR: 2.59, 95%CI: 1.25-5.39), own income sources (AOR: 1.99, 95%CI: 1.03-3.85), exempted services (AOR: 2.30, 95%CI: 1.43-3.71) and long waiting time (AOR: 3.8495%CI: 1.80-8.23).ConclusionsThe overall quality of adolescent and youth-friendly health services was still lower than the WHO good quality standards. The structural quality dimension was affected by the unavailability of adequate and trained health service providers, poor engagement of adolescents and youths in the facility governance structure, unavailability of guidelines, protocols and procedures. In contrast, the process quality dimension was also compromised due to the provider's poor compliance with the national AYFHS guidelines. Therefore, health facilities need to engage adolescents and youths in the health facility governance structure, and providers should comply with the national guideline.

Dataset Information

Quality of malaria data in public health facilities in three provinces of Mozambique.

Background

Methods

Results

Conclusion

Publications

Quality of malaria data in public health facilities in three provinces of Mozambique.

Similar Datasets

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