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1.
PLoS One ; 10(5): e0123940, 2015.
Article in English | MEDLINE | ID: mdl-25942018

ABSTRACT

BACKGROUND: Given the shortage of skilled healthcare providers in Nigeria, frontline community health extension workers (CHEWs) are commonly tasked with providing maternal and child health services at primary health centers. In 2012, we introduced a mobile case management and decision support application in twenty primary health centers in northern Nigeria, and conducted a pre-test/post-test study to assess whether the introduction of the app had an effect on the quality of antenatal care services provided by this lower-level cadre. METHODS: Using the CommCare mobile platform, the app dynamically guides CHEWs through antenatal care protocols and collects client data in real time. Thirteen health education audio clips are also embedded in the app for improving and standardizing client counseling. To detect changes in quality, we developed an evidence-based quality score consisting of 25 indicators, and conducted a total of 266 client exit interviews. We analyzed baseline and endline data to assess changes in the overall quality score as well as changes in the provision of key elements of antenatal care. RESULTS: Overall, the quality score increased from 13.3 at baseline to 17.2 at endline (p<0.0001), out of a total possible score of 25, with the most significant improvements related to health counseling, technical services provided, and quality of health education. CONCLUSION: These study results suggest that the introduction of a low-cost mobile case management and decision support application can spur behavior change and improve the quality of services provided by a lower level cadre of healthcare workers. Future research should employ a more rigorous experimental design to explore potential longer-term effects on client health outcomes.


Subject(s)
Cell Phone , Prenatal Care/methods , Adult , Female , Humans , Male , Nigeria , Socioeconomic Factors , Young Adult
2.
S Afr Med J ; 100(3): 180-2, 2010 Mar 08.
Article in English | MEDLINE | ID: mdl-20459944

ABSTRACT

OBJECTIVE: To assess and compare the extent of high-risk drinking and factors associated with high-risk drinking in the adult female population of a rural and an urban region in South Africa. DESIGN: Cross-sectional household survey using multistage sampling methods. Setting. A rural wine farming area of the Western Cape and an urban site in Gauteng. Subjects. Women of reproductive age (18 - 44 years). Outcome measures. The extent of risky alcohol consumption measured using the Alcohol Use Disorders Identification Test (AUDIT) scale which categorises current drinkers into high- and low-risk drinkers. RESULTS: Twenty-seven per cent (166/606) and 46% (188/412) of the women interviewed in Gauteng and the Western Cape respectively were current drinkers. In turn, 20% (33/166) of the Gauteng current drinkers and 68% (128/188) of the Western Cape current drinkers were classified as high-risk drinkers. Multivariate analysis indicated that employed people in Gauteng were less likely to be high-risk drinkers (odds ratio (OR) 0.3, 95% confidence interval (CI) 0.1 - 0.8). Living in a household that never/seldom went hungry was inversely associated with risky drinking for both sites (OR 0.3, 95% CI 0.1 - 0.9 for Gauteng and OR 0.2, 95% CI 0.3 - 1.2 for the Western Cape). Current smokers (Western Cape) (OR 7.6, 95% CI 3.1 - 18.9) and respondents with an alcohol problem in one or more family members (both sites) (OR 6.0, 95% CI 2.3 - 15.7 and OR 3.1, 95% CI 1.5 - 6.4) were more likely to be high-risk drinkers. CONCLUSIONS: High-risk drinking by women is a major problem, especially in the Western Cape. Targeted interventions are needed for women with alcohol problems in the family setting, lower socio-economic status, and concurrent substance abuse.


Subject(s)
Alcohol-Related Disorders/epidemiology , Rural Health , Urban Health , Adolescent , Adult , Alcohol-Related Disorders/diagnosis , Alcohol-Related Disorders/psychology , Cross-Sectional Studies , Female , Health Surveys , Humans , Logistic Models , Risk Factors , Sex Factors , Socioeconomic Factors , South Africa , Young Adult
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