Dataset Information

Evaluation of neonatal mortality data completeness and accuracy in Ghana.

ABSTRACT:

Background

Cause-specific mortality data are required to set interventions to reduce neonatal mortality. However, in many developing countries, these data are either lacking or of low quality. We assessed the completeness and accuracy of cause of death (COD) data for neonates in Ghana to assess their usability for monitoring the effectiveness of health system interventions aimed at improving neonatal survival.

Methods

A lot quality assurance sampling survey was conducted in 20 hospitals in the public sector across four regions of Ghana. Institutional neonatal deaths (IND) occurring from 2014 through 2017 were divided into lots, defined as neonatal deaths occurring in a selected facility in a calendar year. A total of 52 eligible lots were selected: 10 from Ashanti region, and 14 each from Brong Ahafo, Eastern and Volta region. Nine lots were from 2014, 11 from 2015 and 16 each were from 2016 and 2017. The cause of death (COD) of 20 IND per lot were abstracted from admission and discharge (A&D) registers and validated against the COD recorded in death certificates, clinician's notes or neonatal death audit reports for consistency. With the error threshold set at 5%, ? 17 correctly matched diagnoses in a sample of 20 deaths would make the lot accurate for COD diagnosis. Completeness of COD data was measured by calculating the proportion of IND that had death certificates completed.

Results

Nineteen out of 52 eligible (36.5%) lots had accurate COD diagnoses recorded in their A&D registers. The regional distribution of lots with accurate COD data is as follows: Ashanti (4, 21.2%), Brong Ahafo (7, 36.8%), Eastern (4, 21.1%) and Volta (4, 21.1%). Majority (9, 47.4%) of lots with accurate data were from 2016, followed by 2015 and 2017 with four (21.1%) lots. Two (10.5%) lots had accurate COD data in 2014. Only 22% (239/1040) of sampled IND had completed death certificates.

Conclusion

Death certificates were not reliably completed for IND in a sample of health facilities in Ghana from 2014 through 2017. The accuracy of cause-specific mortality data recorded in A&D registers was also below the desired target. Thus, recorded IND data in public sector health facilities in Ghana are not valid enough for decision-making or planning. Periodic data quality assessments can determine the magnitude of the data quality concerns and guide site-specific improvements in mortality data management.

SUBMITTER: Dadzie D

PROVIDER: S-EPMC7932152 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Evaluation of neonatal mortality data completeness and accuracy in Ghana.

Dadzie Dora D Boadu Richard Okyere RO Engmann Cyril Mark CM Twum-Danso Nana Amma Yeboaa NAY

PloS one 20210304 3

<h4>Background</h4>Cause-specific mortality data are required to set interventions to reduce neonatal mortality. However, in many developing countries, these data are either lacking or of low quality. We assessed the completeness and accuracy of cause of death (COD) data for neonates in Ghana to assess their usability for monitoring the effectiveness of health system interventions aimed at improving neonatal survival.<h4>Methods</h4>A lot quality assurance sampling survey was conducted in 20 hos ...[more]

PMID: 33661920

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Project description:BackgroundNeonatal mortality contributes about 47% of child mortality globally and over 50% of under-5 deaths in Ghana. There is limited population level analysis done in Ghana on predictors of neonatal mortality.ObjectivesThe objective of the study was to examine the predictors of neonatal mortality in Ghana.MethodThis study utilizes secondary data from the 2017 Ghana Maternal Health Survey (GMHS). The GMHS survey focuses on population and household characteristics, health, nutrition, and lifestyle with particular emphasis on topics that affect the lives of newborns and women, including mortality levels, fertility preferences and family planning methods. A total of 10,624 respondents were included in the study after data cleaning. Descriptive statistical techniques were used to describe important background characteristics of the women and Pearson's Chi-squares (χ2) test used to assess association between the outcome (neonatal death) and independent variables. Multivariate logistic regression analysis was done to estimate odd ratios and potential confounders controlled. Confidence level was held at 95%, and a p < 0.05 was considered statistically significant. Data analysis was done using STATA 15.ResultsThe prevalence of neonatal mortality was 18 per 1000 live births. ANC attendance, sex of baby, and skin-to-skin contact immediately after birth were predictors of neonatal mortality. Women with at least one ANC visit were less likely to experience neonatal mortality as compared to women with no ANC visit prior to delivery (AOR = 0.11; CI = 0.02-0.56, p = 0.01). Girls were less likely (AOR = 0.68; CI = 0.47-0.98; p = 0.03) to die during the neonatal period as compared to boys. Neonates who were not put skin-to-skin contact immediately after birth were 2.6 times more likely to die within the neonatal period than those who were put skin-to-skin contact immediately after birth (AOR = 2.59; CI = 1.75-3.83, p = 0.00).ConclusionNeonatal mortality remains a public health concern in Ghana, with an estimated rate of 18 deaths per 1,000 live births. Maternal and neonatal factors such as the sex of the newborn, the number of antenatal care visits, and skin-to-skin contact between the newborn and mother immediately after birth are the predictors of neonatal mortality in Ghana.

Project description:BackgroundGhana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal deaths in Ghana.MethodsThe study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and 31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant.ResultsPopulation density, multiple births, smaller household sizes, high parity, and low birth weight significantly increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only single birth [aRR = 3.42, 95% CI: 1.63-7.17, p < 0.05]. Neonates who were perceived by their mothers to be small were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19-3.63, p < 0.05]. A unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30-1.69, p < 0.05].ConclusionNeonatal mortality in Ghana remains relatively high, and the factors that predisposed children to neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births. Improving pregnant women's nutritional patterns and providing special support to women who have multiple deliveries will reduce neonatal mortality in Ghana.

Project description:BackgroundCommunities and their composition have an impact on neonatal mortality. However, considering the smallest health administrative units as communities and investigating the impact of these communities and their composition on neonatal mortality in Ghana have not been studied. Therefore, this study aimed to investigate the effect of community-, household- and individual-level factors on the risk of neonatal mortality in two districts in Ghana.MethodsThis was a longitudinal study that used the Kintampo Health and Demographic Surveillance System as a platform to select 30,132 neonatal singletons with 634 deaths. Multilevel cox frailty model was used to examine the effect of community-, household- and individual-level factors on the risk of neonatal mortality.ResultsRegarding individual-level factors, neonates born to mothers with previous adverse pregnancy (aHR = 1.38, 95% CI: 1.05-1.83), neonates whose mothers did not receive tetanus toxoid vaccine (aHR = 1.32, 95% CI: 1.08-1.60) and neonates of mothers with Middle, Junior High School or Junior Secondary School education (aHR = 1.30, 95% CI: 1.02-1.65) compared to mothers without formal education, had a higher risk of neonatal mortality. However, female neonates (aHR = 0.61, 95% CI: 0.51-0.73) and neonates whose mother had secondary education or higher (aHR = 0.37, 95% CI: 0.18-0.75) compared to those with no formal education had a lower risk of mortality. Neonates with longer gestation period (aHR = 0.95, 95% CI: 0.94-0.97) and those who were delivered at home (aHR = 0.56, 95% CI: 0.45-0.70), private maternity home (aHR = 0.45, 95% CI: 0.30-0.68) or health centre/clinic (aHR = 0.40, 95% CI: 0.26-0.60) compared to hospital delivery had lower risk of mortality. Regarding the household-level, neonates belonging to third quintile of the household wealth (aHR = 0.70, 95% CI: 0.52-0.94) and neonates belonging to households with crowded sleeping rooms (aHR = 0.91, 95% CI: 0.85-0.97) had lower risk of mortality.ConclusionThe findings of the study suggest the risk of neonatal mortality at the individual- and household-levels in the Kintampo Districts. Interventions and strategies should be tailored towards the high-risk groups identified in the study.

Project description:BackgroundMortality registries are an essential data source for public health surveillance and for planning and evaluating public policy. Nevertheless, there are still large inequalities in the completeness and quality of mortality registries between and within countries. In Ecuador, there have been few nationwide evaluations of the mortality registry and no evaluations of inequalities between provinces. This kind of analysis is fundamental for strengthening the vital statistics system.MethodsEcological study assessing the completeness, quality and internal consistency of mortality data in the provinces of Ecuador, using 13 years of mortality data (2001-2013). Completeness was assessed using three types of death distribution methods (DDMs), quality by estimating the percentages of garbage codes and deaths with unspecified age or sex in the registered deaths, and internal consistency by estimating the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations. Finally, we propose a classification of the mortality registry in the studied areas based on completeness and quality.ResultsCompleteness estimates (mean of the three methods used) in the provinces ranged from 21 to 87% in women and from 35 to 89% in men. The percentage of garbage codes in the provinces ranged from 21 to 56% in women and from 25 to 52% in men. Garbage coding was higher in women and in older age groups. The percentage of deaths with unspecified age or sex, and the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations was low in all the studied areas. The mortality registry could only be classified as acceptable in one area for men and one area for women.ConclusionsWe found substantial inequalities by sex, geographical areas and age in the completeness and quality of the mortality registry of Ecuador. The findings of this study will be helpful to direct measures to improve Ecuador's vital statistics system and to generate strategies to reduce bias when using mortality data to analyse health inequalities in the country.

Project description:ImportanceBirth at hospitals with an appropriate level of neonatal intensive care units is associated with better neonatal outcomes. The primary sources for information about hospital neonatal unit levels for prospective parents, referring physicians, and the public are hospital websites, but the accuracy of neonatal unit capacity is unclear.ObjectiveTo determine if hospital websites accurately report the capabilities of intermediate (ie, level II) units, which are intended for care of newborns with low to moderate illness levels or the stabilization of newborns prior to transfer.Design, setting, and participantsThis cross-sectional study compared descriptions of level II unit capabilities on hospital web pages in 10 large states with their respective state-level designation. Analyzed units were located in the 10 states with the highest number of live births in 2019 (excluding states with no level II regulations) and had active websites as of May 2021.Main outcomes and measuresHospital websites were assessed for whether there was any mention of the unit, the description of the unit was provided, the unit was identified as a level III or both levels II and III, the terms "neonatal intensive care unit" or "NICU" were used without indicating limits in care available or newborn acuity, or the unit was claimed to provide the most advanced level of care.ResultsA total 28 states had no regulation of nursery unit levels; in the 10 large, regulated states, web descriptions of level II units were incomplete for 39.2% of hospitals (95% CI, 33.3%-45.3%) and inaccurate for 24.6% (95% CI, 19.6%-30.2%). Within incomplete descriptions, 2.6% (95% CI, 1.1%-5.3%) of hospitals did not mention an advanced care unit and 22.0% (95% CI, 17.2%-27.5%) identified a level II unit without providing further description. Within inaccurate descriptions, 25.4% (95% CI, 20.3%-31.0%) of hospitals described the unit as a "neonatal intensive care unit" or "NICU" without any qualification and 9.3% (95% CI, 6.3%-13.5%) claimed that the unit provided the most advanced neonatal care or care to the sickest newborns; 3.0% of hospitals (95% CI, 1.3%-6.0%) stated that their unit was level III and 1.5% (95% CI, 0.4%-3.8%) as level II and III. Across states there was substantial variation in rates of incompleteness and inaccuracy.Conclusions and relevanceIncomplete and inaccurate hospital web descriptions of intermediate newborn care units are common. These deficits can mislead parents, clinicians, and the public about the appropriateness of a hospital for sick newborns, which raises important ethical questions.

Dataset Information

Evaluation of neonatal mortality data completeness and accuracy in Ghana.

Background

Methods

Results

Conclusion

Publications

Evaluation of neonatal mortality data completeness and accuracy in Ghana.

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