Maternal and child health data quality in health care facilities at the Cape Coast Metropolis, Ghana. 2022

Obed Uwumbornyi Lasim, and Edward Wilson Ansah, and Daniel Apaak
Department of Health, Physical Education & Recreation, Faculty of Science and Technology Education, College of Education Studies, University of Cape Coast, Cape Coast, Ghana. olasim@ucc.edu.gh.

BACKGROUND The demand for quality maternal and child health (MCH) data is critical for tracking progress towards attainment of the Sustainable Development Goal 3. However, MCH cannot be adequately monitored where health data are inaccurate, incomplete, untimely, or inconsistent. Thus, this study assessed the level of MCH data quality. METHODS A facility-based cross-sectional study design was adopted, including a review of MCH service records. It was a stand-alone study involving 13 healthcare facilities of different levels that provided MCH services in the Cape Coast Metropolis. Data quality was assessed using the dimensions of accuracy, timeliness, completeness, and consistency. Health facilities registers were counted, collated, and compared with data on aggregate monthly forms, and a web-based data collation and reporting system, District Health Information System (DHIS2). The aggregate monthly forms were also compared with data in the DHIS2. Eight MCH variables were selected to assess data accuracy and consistency and two monthly reports were used to assess completeness and timeliness. Percentages and verification factor were estimated in the SPSS version 22 package. RESULTS Data accuracy were recorded between the data sources: Registers and Forms, 102.1% (95% CI = 97.5%-106.7%); Registers and DHIS2, 102.4% (95% CI = 94.4%-110.4%); and Forms and DHIS2, 100.1% (95% CI = 96.4%-103.9%). Across the eight MCH variables, data were 93.2% (95% CI = 82.9%-103.5%) complete in Registers, 91.0% (95% CI = 79.5%-102.5%) in the Forms, and 94.9% (95% CI = 89.9%-99.9%) in DHIS2 database. On the average, 87.2% (95% CI = 80.5%-93.9%) of the facilities submitted their Monthly Midwife's Returns reports on time, and Monthly Vaccination Report was 94% (95% CI = 89.3%-97.3%). The overall average data consistency was 93% (95% CI = 84%-102%). CONCLUSIONS Given the WHO standard for data quality, the level of MCH data quality in the health care facilities at the Cape Coast Metropolis, available through the DHIS2 is complete, reported on timely manner, consistent, and reflect accurately what exist in facility's source document. Although there is evidence that data quality is good, there is still room for improvement in the quality of the data.

UI MeSH Term Description Entries
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003695 Delivery of Health Care The concept concerned with all aspects of providing and distributing health services to a patient population. Delivery of Dental Care,Health Care,Health Care Delivery,Health Care Systems,Community-Based Distribution,Contraceptive Distribution,Delivery of Healthcare,Dental Care Delivery,Distribution, Non-Clinical,Distribution, Nonclinical,Distributional Activities,Healthcare,Healthcare Delivery,Healthcare Systems,Non-Clinical Distribution,Nonclinical Distribution,Activities, Distributional,Activity, Distributional,Care, Health,Community Based Distribution,Community-Based Distributions,Contraceptive Distributions,Deliveries, Healthcare,Delivery, Dental Care,Delivery, Health Care,Delivery, Healthcare,Distribution, Community-Based,Distribution, Contraceptive,Distribution, Non Clinical,Distributional Activity,Distributions, Community-Based,Distributions, Contraceptive,Distributions, Non-Clinical,Distributions, Nonclinical,Health Care System,Healthcare Deliveries,Healthcare System,Non Clinical Distribution,Non-Clinical Distributions,Nonclinical Distributions,System, Health Care,System, Healthcare,Systems, Health Care,Systems, Healthcare
D005869 Ghana A republic in western Africa, south of BURKINA FASO and west of TOGO. Its capital is Accra. Gold Coast,Republic of Ghana
D006268 Health Facilities Institutions which provide medical or health-related services. Facilities, Health,Facility, Health,Health Facility
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000067576 Child Health The concept covering the physical and mental conditions of CHILDREN. Child Wellbeing,Child Well Being,Child Well-Being,Children's Health,Childrens Health,Health, Child,Health, Children's,Health, Childrens,Well Being, Child,Well-Being, Child,Wellbeing, Child
D000068598 Data Accuracy A measure of scientific precision, exactness, or correctness of quantitative or qualitative values, relative to the actual or true measurements. Data Quality,Accuracies, Data,Accuracy, Data,Data Accuracies,Data Qualities,Qualities, Data,Quality, Data

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