| 1. |
- Gustafsson, Annika, et al.
(författare)
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Predicting Non-Attendance: A Model of the Complex Relationships in Dental Care Non-Attendance among Adolescents in Örebro County, Sweden
- 2020
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Ingår i: SCIRP Psychology. ; 11, s. 1300-1314
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Tidskriftsartikel (refereegranskat)abstract
- Background: Understanding why adolescents miss dental appointments is central to promoting people’s oral health into adulthood. Studies on non-attendant adolescents are rare. Method: In our previous study using data from the 2014 population-based cross-sectional survey of schoolchildren in ?rebro County, Sweden we suggested a risk-factor model for non-attendance with five components (sociodemographic factors, self-rated health, perceived life events, health behaviour, social cohesion and social capital). The present study tested the external validity of the multivariate model for all components simultaneously developed from the 2014 study using a new population-based cross- sectional survey (n = 7576) of schoolchildren in ?rebro County, Sweden 2017. Using the predicted values from the 2014-logistic regression, we computed ROC-curves for the 2014 and 2017 study populations, respectively. Results: Of the 6 304 adolescents who answered the question of attendance to dental health care and all eleven independent items in 2017, 324 (5.1%) reported that they sought dental care only for acute pain or not at all, thus regarded as non-attendant. When using the risk model based on the 2014 data for the 2017 data, the area under the receiver operating curve (AUC) for non-attendance adolescents was 0.74 (95% CI 0.71 - 0.76). Conclusion: The present study shows that the model created from the 2014 population-based survey has excellent discriminative performance (AUC) in the 2017 population-based survey predicting non-attending adolescents. The methodology applied in this study may be useful to other health care services to develop predictive non-attending models based on their specific population.
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| 2. |
- Adane, Abyot, et al.
(författare)
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Routine health management information system data in Ethiopia : consistency, trends, and challenges
- 2021
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Ingår i: Global Health Action. - : Taylor & Francis. - 1654-9716 .- 1654-9880. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Ethiopia is investing in the routine Health Management Information System. Improved routine data are needed for decision-making in the health sector.Objective: To analyse the quality of the routine Health Management Information System data and triangulate with other sources, such as the Demographic and Health Surveys.Methods: We analysed national Health Management Information System data on 19 indicators of maternal health, neonatal survival, immunization, child nutrition, malaria, and tuberculosis over the 2012-2018 time period. The analyses were conducted by 38 analysts from the Ministry of Health, Ethiopia, and two government agencies who participated in the Operational Research and Coaching for Analysts (ORCA) project between June 2018 and June 2020. Using a World Health Organization Data Quality Review toolkit, we assessed indicator definitions, completeness, internal consistency over time and between related indicators, and external consistency compared with other data sources.Results: Several services reported coverage of above 100%. For many indicators, denominators were based on poor-quality population data estimates. Data on individual vaccinations had relatively good internal consistency. In contrast, there was low external consistency for data on fully vaccinated children, with the routine Health Management Information System showing 89% coverage but the Demographic and Health Survey estimate at 39%. Maternal health indicators displayed increasing coverage over time. Indicators on child nutrition, malaria, and tuberculosis were less consistent. Data on neonatal mortality were incomplete and operationalised as mortality on day 0-6. Our comparisons with survey and population projections indicated that one in eight early neonatal deaths were reported in the routine Health Management Information System. Data quality varied between regions.Conclusions: The quality of routine data gathered in the health system needs further attention. We suggest regular triangulation with data from other sources. We recommend addressing the denominator issues, reducing the complexity of indicators, and aligning indicators to international definitions.
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| 3. |
- Källestål, Carina, 1954-, et al.
(författare)
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Assessing the Multiple Dimensions of Poverty : Data Mining Approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua
- 2020
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Ingår i: Frontiers In Public Health. - : FRONTIERS MEDIA SA. - 2296-2565. ; 7
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Tidskriftsartikel (refereegranskat)abstract
- We identified clusters of multiple dimensions of poverty according to the capability approach theory by applying data mining approaches to the Cuatro Santos Health and Demographic Surveillance database, Nicaragua. Four municipalities in northern Nicaragua constitute the Cuatro Santos area, with 25,893 inhabitants in 5,966 households (2014). A local process analyzing poverty-related problems, prioritizing suggested actions, was initiated in 1997 and generated a community action plan 2002-2015. Interventions were school breakfasts, environmental protection, water and sanitation, preventive healthcare, home gardening, microcredit, technical training, university education stipends, and use of the Internet. In 2004, a survey of basic health and demographic information was performed in the whole population, followed by surveillance updates in 2007, 2009, and 2014 linking households and individuals. Information included the house material (floor, walls) and services (water, sanitation, electricity) as well as demographic data (birth, deaths, migration). Data on participation in interventions, food security, household assets, and women's self-rated health were collected in 2014. A K-means algorithm was used to cluster the household data (56 variables) in six clusters. The poverty ranking of household clusters using the unsatisfied basic needs index variables changed when including variables describing basic capabilities. The households in the fairly rich cluster with assets such as motorbikes and computers were described as modern. Those in the fairly poor cluster, having different degrees of food insecurity, were labeled vulnerable. Poor and poorest clusters of households were traditional, e.g., in using horses for transport. Results displayed a society transforming from traditional to modern, where the forerunners were not the richest but educated, had more working members in household, had fewer children, and were food secure. Those lagging were the poor, traditional, and food insecure. The approach may be useful for an improved understanding of poverty and to direct local policy and interventions.
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| 4. |
- Pérez, Wilton, 1979-, et al.
(författare)
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Trends and factors related to adolescent pregnancies : an incidence trend and conditional inference trees analysis of northern Nicaragua demographic surveillance data
- 2021
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Ingår i: BMC Pregnancy and Childbirth. - : BioMed Central. - 1471-2393 .- 1471-2393. ; 21:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: We aimed to identify the 2001-2013 incidence trend, and characteristics associated with adolescent pregnancies reported by 20-24-year-old women.METHODS: A retrospective analysis of the Cuatro Santos Northern Nicaragua Health and Demographic Surveillance 2004-2014 data on women aged 15-19 and 20-24. To calculate adolescent birth and pregnancy rates, we used the first live birth at ages 10-14 and 15-19 years reported by women aged 15-19 and 20-24 years, respectively, along with estimates of annual incidence rates reported by women aged 20-24 years. We conducted conditional inference tree analyses using 52 variables to identify characteristics associated with adolescent pregnancies.RESULTS: The number of first live births reported by women aged 20-24 years was 361 during the study period. Adolescent pregnancies and live births decreased from 2004 to 2009 and thereafter increased up to 2014. The adolescent pregnancy incidence (persons-years) trend dropped from 2001 (75.1 per 1000) to 2007 (27.2 per 1000), followed by a steep upward trend from 2007 to 2008 (19.1 per 1000) that increased in 2013 (26.5 per 1000). Associated factors with adolescent pregnancy were living in low-education households, where most adults in the household were working, and high proportion of adolescent pregnancies in the local community. Wealth was not linked to teenage pregnancies.CONCLUSIONS: Interventions to prevent adolescent pregnancy are imperative and must bear into account the context that influences the culture of early motherhood and lead to socioeconomic and health gains in resource-poor settings.
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