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The objective of the study was to assess the consistency between self-reported demographic characteristics, health conditions, and healthcare use, and administrative healthcare records, in a sample of enrollees of an Indigenous health organization in Colombia. We conducted a phone survey of a random sample of 2113 enrollees September-2020/February-2021. Administrative health records were obtained for the sample. Using ICD-10 diagnostic codes, we identified individuals who had healthcare visits for diabetes, hypertension, and/or pregnancy. Using unique identifiers, we linked their survey data to the administrative dataset. Agreement percentages and Cohen's Kappa coefficients were calculated. Logistic regressions were performed for each health condition/state. Results showed high degree of agreement between data sources for sex and age, similar rates for diabetes and hypertension, 10% variation for pregnancy. Kappa statistics were in the moderate range. Age was significantly associated with agreement between data sources. Sex, language, and self-rated health were significant for diabetes. This is the first study with data from an Indigenous population assessing the consistency between self-reported data and administrative health records. Survey and administrative data produced similar results, suggesting that Anas Wauu can be confident in using their data for planning and research purposes, as part of the movement toward data sovereignty.

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BACKGROUND AND AIMS: Longitudinal studies have revealed that substance use treatment use is often recurrent among patients; the longitudinal patterns and characteristics of those treatment trajectories have received less attention, particularly in the global south. This study aimed to disentangle heterogeneity in treatment use among adult patients in Chile by identifying distinct treatment trajectory groups and factors associated with them. DESIGN: National-level registry-based retrospective cohort. SETTING AND PARTICIPANTS: Adults admitted to publicly funded substance use disorder treatment programs in Chile from November 2009 to November 2010 and followed for 9 years (n = 6266). MEASUREMENTS: Monthly treatment use; type of treatment; ownership of the treatment center; discharge status; primary substance used; sociodemographic. FINDINGS: A seven-class treatment trajectory solution was chosen using latent class growth analysis. We identified three trajectory groups that did not recur and had different treatment lengths: Early discontinuation (32%), Less than a year in treatment (19.7%) and Year-long episode, without recurrence (12.3%). We also identified a mixed trajectory group that had a long first treatment or two treatment episodes with a brief time between treatments: Long first treatment, or immediate recurrence (6.3%), and three recurrent treatment trajectory groups: Recurrent and decreasing (14.2%), Early discontinuation with recurrence (9.9%) and Recurrent after long between treatments period (5.7%). Inpatient or outpatient high intensity (vs. outpatient low intensity) at first entry increased the odds of being in the longer one-episode groups compared with the Early discontinuation group. Women had increased odds of belonging to all the recurrent groups. Using cocaine paste (vs. alcohol) as a primary substance decreased the odds of belonging to long one-episode groups. CONCLUSIONS: In Chile, people in publicly funded treatment for substance use disorder show seven distinct care trajectories: three groups with different treatment lengths and no recurring episodes, a mixed group with a long first treatment or two treatment episodes with a short between-treatment-episodes period and three recurrent treatment groups.

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OBJECTIVES: To investigate the relationship between preterm birth and hospital/out-of-hospital care and costs over the first 5 years of life. STUDY DESIGN: Birth data from a population-based cohort of 631 532 infants born between 2007 and 2013 were linked probabilistically with data on hospitalizations, primary and secondary care, and the use of medications. We analyzed the distribution of health care use and public health care costs for infants who survived at least 5 years, comparing the outcomes of extremely preterm (<28 weeks of gestation), very preterm (28-32 weeks), moderate to late preterm (32-37 weeks), and term infants (at least 37 weeks). A linear regression model was used to investigate the effect of preterm birth on these outcomes, controlling for important confounders including pregnancy and birth complications, neonatal morbidity, survival, and maternal socioeconomic characteristics. RESULTS: Preterm birth has a statistically significant and economically relevant effect on health care use and costs in the first 5 years of life. Compared with a term infant, preterm infants born at 32-36 weeks, 28-32 weeks, and <28 weeks of gestation had, respectively, an average of 7.0 (SE 0.06), 41.6 (0.18), and 68.7 (0.35) more hospital days; 3.1 (0.04), 11.0 (0.13), and 13.2 (0.25) more outpatient specialist physician visits; and 1.2-fold (<0.01), 6.8-fold (0.01), and 10.9-fold (0.02) higher 5-year public health care costs. Preterm infants also had statistically significantly higher levels of general practitioner visits and use of medications. CONCLUSIONS: Higher levels of accessible care are needed for preterm infants across health care settings and over sustained periods. As our understanding of the impact of preterm birth on long-term clinical outcomes continues to improve, clinicians and policymakers should develop an accurate recognition of these needs to enable appropriate resource allocation toward research priorities and early intervention strategies.

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Linked administrative data offer a rich source of information that can be harnessed to describe patterns of disease, understand their causes and evaluate interventions. However, administrative data are primarily collected for operational reasons such as recording vital events for legal purposes, and planning, provision and monitoring of services. The processes involved in generating and linking administrative datasets may generate sources of bias that are often not adequately considered by researchers. We provide a framework describing these biases, drawing on our experiences of using the 100 Million Brazilian Cohort (100MCohort) which contains records of more than 131 million people whose families applied for social assistance between 2001 and 2018. Datasets for epidemiological research were derived by linking the 100MCohort to health-related databases such as the Mortality Information System and the Hospital Information System. Using the framework, we demonstrate how selection and misclassification biases may be introduced in three different stages: registering and recording of people's life events and use of services, linkage across administrative databases, and cleaning and coding of variables from derived datasets. Finally, we suggest eight recommendations which may reduce biases when analysing data from administrative sources.

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From 2009-2015 to 2016-2019, the proportion of infants in the US with congenital cytomegalovirus treated with valganciclovir roughly doubled for infants enrolled with employer-sponsored insurance (from 16% to 29%) and Medicaid (from 16% to 36%). The proportion treated with valganciclovir increased for all congenital cytomegalovirus disease severity groups.

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BACKGROUND: In infancy, males are at higher risk of dying than females. Birthweight and gestational age are potential confounders or mediators but are also familial and correlated, posing epidemiological challenges that can be addressed by studying male-female twin pairs. METHODS: We studied 28 558 male-female twin pairs born in Brazil between 2012 and 2016, by linking their birth and death records. Using a co-twin control study matched for gestational age and familial factors, we applied logistic regression with random effects (to account for paired data) to study the association between male sex and infant death, adjusting for: birthweight, within- and between-pair effects of birthweight, birth order and gestational age, including interactions. The main outcome was infant mortality (0-365 days) stratified by neonatal (early and late) and postneonatal deaths. RESULTS: Males were 100 g heavier and more at risk of infant death than their female co-twins before [odds ratio (OR) = 1.28, 95% confidence interval (CI): 1.11-1.49, P = 0.001] and after (OR = 1.60, 95% CI: 1.39-1.83, P <0.001) adjusting for birthweight and birth order. When adjusting for birthweight within-pair difference and mean separately, the OR attenuated to 1.40 (95% CI: 1.21-1.61, P <0.001), with evidence of familial confounding (likelihood ratio test, P <0.001). We found evidence of interaction (P = 0.001) between male sex and gestational age for early neonatal death. CONCLUSIONS: After matching for gestational age and familial factors by design and controlling for birthweight and birth order, males remain at greater risk of infant death than their female co-twins. Birthweight's role as a confounder can be partially explained by familial factors.

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Medical care for children with cancer is complex and expensive, and represents a large financial burden for families around the world. We estimated the medical cost of cancer care for children under the age of 18, using administrative records of the universe of children with private insurance in Chile in the period 2007-2018, based on a sample of 3853 observations. We analyzed total cost and out-of-pocket spending by patients' characteristics, type of cancer, and by service. Children with cancer had high annual medical costs, USD 32,287 on average for 2018. Costs were higher for the younger children in the sample. The vast majority of the cost was driven by inpatient hospital care for all types of cancer. The average total cost increased 20% in real terms over the period of study, while out-of-pocket expenses increased almost 29%. Private insurance beneficiaries faced a significant economic burden associated with medical treatment of a child with cancer. Interventions that reduce hospitalizations, as well as systemwide reforms that incorporate maximum out-of-pocket payments and prevent catastrophic expenditures, can contribute to alleviating the financial burden of childhood cancer.

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OBJECTIVE: To assess the incidence of child maltreatment-related hospitalizations for children under 3 years for the population of Washington State. STUDY DESIGN: A population-based study using retrospective linked administrative data for all children born in Washington State from 2000 through 2013 (n = 1 191 802). The dataset was composed of linked birth and hospitalization records for the entire state. Child maltreatment-related hospitalizations were identified using diagnostic codes, both specifically attributed to and suggestive of maltreatment. Incidence were calculated for the population, by birth year, by sex, and by maltreatment subtype. RESULTS: A total of 3885 hospitalizations related to child maltreatment were identified for an incidence of 10.87 per 10 000 person-years. Hospitalizations related to child maltreatment accounted for 2.1% of all hospitalizations for children under the age of 3 years. This percentage doubled over time, reaching a high in 2012 (3.6%). More than one-half of all hospitalizations were related to neglect. Maltreatment-related hospitalizations occurred most frequently in the first year of life for all subtypes except for neglect, which occurred the most between 1 and 2 years of age. Male children had higher incidence than female children in general (11.97 vs 9.70 per 10 000 person-years) and across all subtypes. CONCLUSIONS: Hospitalizations can be a useful source of population-based child maltreatment surveillance. The identification of neglect-related hospitalizations, likely the result of supervisory neglect, because the most common subtype is an important finding for the development of prevention programming.

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In this article, using a quantitative approach, we analyze interpersonal, inmate-on-inmate physical violence in Chilean prisons, using administrative records on collective violence, provided by the Prison Service for the period 2014 to 2017. Violence behind bars is problematic as it threatens inmates' fundamental rights such as personal safety but also because it undermines efforts to maintain an environment prone to inmates' social reintegration. Our data showed a sharp increase in the number of collective fights, from 808 in 2014 to more than 4,000 in 2017. In terms of the predictors, being in a private prisons as well as a greater ratio of inmates to guards were associated with increased collective fights for each of the 4 years we examined. Two additional predictors were statistically significant, yet only for 2017: A higher average criminal involvement score and a smaller ratio between inmates/staff were both associated with increased violence. Despite the fact that prison violence has not yet reached the scale or level of brutality that can be seen in other parts of the region (i.e., Brazil), there are signs of concern that authorities should take into account, particularly the rapid increase in collective fights in just a 4-year period and the recent social turmoil that has taken place in Chile, whose impact cannot be seen yet from these data. In terms of recommendations, we suggest that authorities should prioritize efforts in four areas: (a) to gather better data on prison violence, including some reliable data on importation variables (age, criminal history, and nationality); (b) to provide prison guards with tools to anticipate and mediate conflicts; (c) to revise and possibly modify the way prisoners are transferred to different facilities, and (d) in sum, to promote prison environments that can be more legitimate and supportive to inmates' reintegration.

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Parkinson's disease (PD) has the second highest prevalence among neurodege - nerative diseases. In Colombia, PD population dynamics are currently unknown. Health records offer a unique resource to study frequency and multi-morbidity of chronic diseases. The aim of this research is to estimate prevalence and staging using administrative data (AD) provided by Health Maintenance Organizations (HMOs). A cross-sectional study was conducted using 2015 AD from two Colombian HMOs (4.312.928 beneficiaries, 9.01% of the affiliated Colombian population). PD prevalence and severity was estimated by age and sex. Prevalence was adjusted to WHO demographics. Age-adjusted PD prevalence was 205.89 per 100.000 inhabitants. Prevalence increment of 62.13% was found between those aged ≥40 years and those aged ≥50 years. Similarly, each extra decade (50-80+) represented an increment of 83.65%, 80.95%, and 35.10%. Between 40 and 89 years, males exhibited a significantly higher PD prevalence compared to females. Advanced PD was more frequent as age increased from 3.77% in the group between 40 to 49 years to 25.86% in those older than 89 years. More common related comorbidities were arterial hypertension, diabetes, and psychiatric disorders; the first two increased their frequency with age, and the last one maintained its prevalence across all age groups. AD sets are useful to estimate the prevalence and staging of PD. Prevalence of PD in Colombia is higher in men and increases with age, as well as disease severity.