Cost analysis of drug treatment in hypertensive patients at social security health care family medicine units.

OBJECTIVE: To estimate the increase of drug treatment costs associated with predictive factors of hypertensive patients in family medicine units. MATERIALS AND METHODS: A generalized linear model was employed to estimate costs with data from a microcosting costing study for a 1-year time horizon. Sources of dada were medical electronic files, phar-macy records and unitary prices updated to 2019. RESULTS: From a total of 864 patients older than 65 years were 67% and women 65%. Factors with most influence on mean drug treatment costs were diabetes, age and complications associ-ated with hypertension. Mean annual cost of antihypertensive treatment was 61 dollars (CI95% 55,67) and median were 32 dollars (IQR 30,35) per patient. Incremental costs for diabetes were 23 dollars (CI95% 13,33) and 25 dollars (CI95% 5,45) in the group of ≥ 65 years. CONCLUSION: Diabetes, age and complications were the factors with largest influence on hypertension pharmacological costs.

Cost analysis of drug treatment in hypertensive patients at social security health care family medicine units / Análisis de costo de tratamientos farmacológicos en pacientes hipertensos en unidades de medicina familiar de seguridad social en salud

Abstract: Objective: To estimate the increase of drug treatment costs associated with predictive factors of hypertensive patients in family medicine units. Materials and methods: A generalized linear model was employed to estimate costs with data from a microcosting costing study for a 1-year time horizon. Sources of dada were medical electronic files, pharmacy records and unitary prices updated to 2019. Results: From a total of 864 patients older than 65 years were 67% and women 65%. Factors with most influence on mean drug treatment costs were diabetes, age and complications associated with hypertension. Mean annual cost of antihypertensive treatment was 61 dollars (CI95% 55,67) and median were 32 dollars (IQR 30,35) per patient. Incremental costs for diabetes were 23 dollars (CI95% 13,33) and 25 dollars (CI95% 5, 45) in the group of ≥ 65 years. Conclusion: Diabetes, age and complications were the factors with largest influence on hypertension pharmacological costs.

Resumen: Objetivo: Estimar el aumento de costos de tratamiento farmacológico de hipertensión asociado con factores predictivos en pacientes de unidades de medicina familiar. Material y métodos: El análisis utilizó un modelo lineal generalizado alimentado con información de un estudio de microcosteo en 2016. Las fuentes de información fueron los registros médicos del expediente electrónico y de farmacia y los precios unitarios del cuadro básico de medicamentos transformados a dólares americanos correspondientes a 2019. Resultados: Las variables significativas con mayor influencia fueron diabetes, edad y complicaciones asociadas con hipertensión. El costo promedio anual de tratamiento antihipertensivo por paciente fue de 61 dólares (IC95% 55,67) Los resultados sugieren un costo incremental de 23 dólares (IC95% 13,33) cuando se tiene diabetes y de 25 dólares (IC95% 5, 45) en el grupo ≥ 65 años. Conclusiones: Diabetes, edad y complicaciones son los factores encontrados que más influyen en los costos farmacológicos de tratamiento de la hipertensión.

Prevalence and characterization of undiagnosed arterial hypertension in the eastern zone of Mexico.

Arterial hypertension is considered a public health problem with severe consequences at an individual and public health levels. However, there is a lack of information regarding its characterization in Mexico. The objective of this study is to estimate the proportion of undiagnosed arterial hypertension (UAH) and the overall prevalence and clinical management of arterial hypertension within the Eastern Zone of Mexico. Additionally, we explore associated factors related with both UAH and uncontrolled arterial hypertension. We obtained information from the May Measure Month (MMM) 2019 study. People were asked for cardiovascular risk factors and blood pressure was measured according to the protocols of the European Society of Hypertension (ESH). Data from 5901 subjects were extracted: 76.04% from the Eastern Zone of the State of Mexico. The overall prevalence of hypertension was 32.4% (95% CI 31.2-33.6). From all subjects living with hypertension, 28.3% had UAH, 22.1% had previous diagnosis but were untreated; 29.3% were treated but had uncontrolled hypertension. Younger men adults living in the State of Michoacán had increased proportion of UAH and untreated hypertension. We observed that male sex, age, obesity, living at Michoacán were risk factors for UAH. Finally, male sex, diabetes, and living at Michoacán were related risk conditions for having uncontrolled arterial hypertension. In summary, there is a high proportion of UAH in Easter Zone of Mexico. Younger adults had higher proportion of UAH and untreated hypertension profiles. Efficient actions are required to make a timely diagnosis in the young adult population to prevent long-term complications.

[Life style and metabolic control in DiabetIMSS program]. / Estilo de vida y control metabólico en diabéticos del programa DiabetIMSS.

OBJECTIVE: To compare the lifestyle and metabolic control of diabetes patients included and not included in the DiabetIMSS program. METHODS: Subjects with diabetes in the DiabetIMSS program and the general clinic were divided into three groups: group 1 first attended the program, group 2 were enrolled during the study, and group 3 had not been included the program. Demographic and clinical aspects were measured and the IMEVID instrument was applied. RESULTS: We included 539 type-2 diabetes patients, predominantly females (73.3%), mainly of primary school level, and more frequently on double-drug therapy. There were clinical differences between the three groups for program leavers in terms of weight, waist, blood pressure, fasting glucose, HbA1c, triglycerides, and IMEVID qualification, all p < 0.05; correlation analysis of the variables with the qualification of IMEVID was significant at p < 0.05. The higher number of variable control targets was for leavers (71% of group); those who were enrolled in the study was 32%, and who had not was 17.2%. CONCLUSIONS: There are significant differences in lifestyle and control target parameters in subjects who completed the DiabetIMSS program.