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To compare sociodemographic and clinical characteristics among obese and non-obese women in Mexico and analyze the association between obesity and pregnancy complications.We conducted a secondary data analysis of the 2018-2019 Mexican National Survey of Health and Nutrition. We included women aged 20-49 years who had at least one live birth in the five years preceding the survey (n = 1573). We performed a double-weighted (by IP-weights and survey-weights) multilevel multiple logistic regression analysis.Obesity was prevalent in 32% of pregnant women. Obese and non-obese women received similar antenatal care. 42.6% of obese women, compared to 33.6% of non-obese had one or more pregnancy or labor complications. Compared with non-obese women, obese women were older and had more chronic diseases. Obesity was associated with a 48% increase in the probability of complications.Due to the high prevalence of obesity among Mexican women of reproductive age and given the independent association between obesity and complications during pregnancy and labor, the development and implementation of specific clinical guidelines on weight management before conception, during pregnancy, and post-partum for women who are obese is an unmet need in Mexico.

Background The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient data and machine-learning-based targeted learning methods. Methods We analyzed electronic health records and laboratory databases from the year 2012 to 2016 of T2D patients from six family medicine clinics (FMCs) delivering the DIABETIMSS program, and five FMCs providing routine care. All FMCs belong to the Mexican Institute of Social Security and are in Mexico City and the State of Mexico. The primary outcome was glycemic control. The study covariates included: patient sex, age, anthropometric data, history of glycemic control, diabetic complications and comorbidity. We measured the effects of DIABETIMSS program through 1) simple unadjusted mean differences; 2) adjusted via standard logistic regression and 3) adjusted via targeted machine learning. We treated the data as a serial cross-sectional study, conducted a standard principal components analysis to explore the distribution of covariates among clinics, and performed regression tree on data transformed to use the prediction model to identify patient sub-groups in whom the program was most successful. To explore the robustness of the machine learning approaches, we conducted a set of simulations and the sensitivity analysis with process-of-care indicators as possible confounders. Results The study included 78,894 T2D patients, from which 37,767patients received care through DIABETIMSS. The impact of DIABETIMSS ranged, among clinics, from 2 to 8% improvement in glycemic control, with an overall (pooled) estimate of 5% improvement. T2D patients with fewer complications have more significant benefit from DIABETIMSS than those with more complications. At the FMC’s delivering the conventional model the predicted impacts were like what was observed empirically in the DIABETIMSS clinics. The sensitivity analysis did not change the overall estimate average across clinics. Conclusions DIABETIMSS program had a small, but significant increase in glycemic control. The use of machine learning methods yields both population-level effects and pinpoints the sub-groups of patients the program benefits the most. These methods exploit the potential of routine observational patient data within complex healthcare systems to inform decision-makers.

Background To estimate the incremental cost-effectiveness ratio (ICER) of the use of continuous subcutaneous insulin infusion (CSII) therapy versus multiple daily injections (MDI) therapy in adult patients with type 1 diabetes (T1D) at the Mexican Institute of Social Security (IMSS). Methods An analysis was developed using the internationally validated Core Diabetes Model (CDM) with which the incidence and progression of acute and chronic complications and the mortality of T1D was simulated throughout life. The baseline characteristics of the simulated cohorts were obtained from Mexican T1D adult patients aged ≥ 18 years that received care at two national IMSS medical centres in 2016. In the base case, the costs of the complications and treatment of the disease with both therapies were estimated in Mexican currency from the perspective of the institution, using Diagnosis Related Groups for outpatient and inpatient care. Utilities were taken from the international bibliography. In a secondary analysis, indirect costs were included using a human capital approach. The model used a lifetime time horizon, and a discount rate of 5% was applied for health outcomes and costs. A one-way sensitivity analysis was conducted on key variables and patient sub-groups; uncertainty was evaluated using a Cost-Effectiveness Acceptability Curve. Results The average age of the cohort was 32 years, with diabetes duration of 19 years, an average HbA1c of 9.2%; 29% were men. A gain of 0.614 Quality Adjusted Life Years (QALYs) was estimated with the use of CSII therapy. The estimated ICER was MXN$478,020 per QALY in the base case, and MXN$369,593 when indirect costs were considered. The sensitivity analysis showed that, in adult patients with HbA1c > 9.0%, the ICER was MXN$262,237. Conclusions This is the first economic evaluation study that compares CSII therapy versus MDI therapy for T1D adult patients in Mexico. The insulin pump therapy can be considered cost-effective in the context of the IMSS when considering a threshold of three GDPs per capita with 43.9% probability. Results improve substantially when patients have an HbA1c above 9%.

The purpose of this study is to validate the Mexican version of the Short-Form Supportive Care Needs survey (SCNS-SFM). A cross-sectional survey was conducted from June to December 2013 at the Oncology Hospital of the Mexican Institute of Social Security in Mexico City. The study included 825 subsequent cancer patients >20 years of age with all forms of solid cancer. Patients had prior surgical removal of histologically confirmed cancer and attended outpatient consultations. Validation of SCNS-SFM included the following: (1) content validity through a group of experts; (2) construct validity through an exploratory factor analysis based on the polychoric correlation matrix; (3) internal consistency using Cronbach’s alpha; (4) convergent validity between SCNS-SFM and quality of life, anxiety, and depression scales by calculating Pearson’s correlation coefficient; (5) discriminative validity through analysis of MANOVAs; and (6) test–retest reliability using intraclass correlation coefficient calculations. SCNS-SFM has 33 items with five factors accounting for 59 % of total variance. Cronbach’s alpha values ranged from 0.78 to 0.90 among factors. SCNS-SFM has good convergent validity compared with quality of life and depression and anxiety scales and good discriminative validity, revealing great information, psychological support, and physical daily living needs for women, patients

Background Evaluation of the quality of antenatal care (ANC) using indicators should be part of the efforts to improve primary care services in developing countries. The growing use of the electronic health record (EHR) has the potential of making the evaluation more efficient. The objectives of this study were: (a) to develop quality indicators for ANC and (b) to evaluate the quality of ANC using EHR information in family medicine clinics (FMCs) of Mexico City. Methods We used a mixed methods approach including: (a) in-depth interviews with health professionals; (b) development of indicators following the RAND-UCLA method; (c) a retrospective cohort study of quality of care provided to 5342 women aged 12–49 years who had completed their pregnancy in 2009 and attended to at least one ANC visit with their family doctor. The study took place in four FMCs located in Mexico City. The source of information was the EHR. SAS statistical package served for programing and performing the descriptive statistical analysis. Results 14 ANC quality indicators were developed. The evaluation showed that 40.6% of women began ANC in the first trimester; 63.5% with low-risk pregnancy attended four or more ANC visits; 4.4% were referred for routine obstetric ultrasound, and 41.1% with vaginal infection were prescribed metronidazole. On average, the percentage of recommended care that women received was 32.7%. Conclusions It is feasible to develop quality indicators suitable for evaluating the quality of ANC using routine EHR data. The study identified the ANC areas that require improvement; which can guide future strategies aimed at improving ANC quality.

Objectives 1) To design and validate indicators to measure the quality of the process of care that climacteric stage women receive in family medicine clinics (FMC). 2) To assess the quality of care that climacteric stage women receive in FMC. 3) To determine the association between quality of care and health-related quality of life (HR-QoL) among climacteric stage women. Methods The study had two phases: I. Design and validation of indicators to measure the quality of care process by using the RAND/UCLA Appropriateness Method. II. Evaluation of the quality of care and its association with HR-QoL through a cross-sectional study conducted in two FMC located in Mexico City that included 410 climacteric stage women. The quality of care was measured by estimating the percentage of recommended care received (PRCR) by climacteric stage women in three process components: health promotion, screening, and treatment. The HR-QoL was measured using the Cervantes scale (0-155). The association between quality of care and HR-QoL was estimated through multiple linear regression analysis. Results The lowest mean of PRCR was for the health promotion component (24.1%) and the highest for the treatment component (86.6%). The mean of HR-QoL was 50.1 points. The regression analysis showed that in the treatment component, for every 10 additional points of the PRCR, the global HR-QoL improved 2.8 points on the Cervantes scale (coefficient -0.28, P < 0.0001). Conclusion The indicators to measure quality of care for climacteric stage women are applicable and feasible in family medicine settings. There is a positive association between the quality of the treatment component and HR-QoL; this would encourage interventions to improve quality of care for climacteric stage women.

Background Malnutrition in children can be a consequence of unfavourable socioeconomic conditions. However, some families maintain adequate nutritional status in their children despite living in poverty. The aim of this study was to ascertain whether family-related factors are determinants of stunting in young Mexican children living in extreme poverty, and whether these factors differ between rural or urban contexts. Methods A case-control study was conducted in one rural and one urban extreme poverty level areas in Mexico. Cases comprised stunted children aged between 6 and 23 months. Controls were well-nourished children. Independent variables were defined in five dimensions: family characteristics; family income; household allocation of resources and family organisation; social networks; and child health care. Information was collected from 108 cases and 139 controls in the rural area and from 198 cases and 211 controls in the urban area. Statistical analysis was carried out separately for each area; unconditional multiple logistic regression analyses were performed to obtain the best explanatory model for stunting. Results In the rural area, a greater risk of stunting was associated with father's occupation as farmer and the presence of family networks for child care. The greatest protective effect was found in children cared for exclusively by their mothers. In the urban area, risk factors for stunting were father with unstable job, presence of small social networks, low rate of attendance to the Well Child Program activities, breast-feeding longer than six months, and two variables within the family characteristics dimension (longer duration of parents' union and migration from rural to urban area). Conclusions This study suggests the influence of the family on the nutritional status of children under two years of age living in extreme poverty areas. Factors associated with stunting were different in rural and urban communities. Therefore, developing and implementing health programs to tackle malnutrition should take into account such differences that are consequence of the social, economic, and cultural contexts in which the family lives.