Risk Factors Associated with Chronic Diseases among Families Registered in a Family Medicine Center, Egypt

Elaguizy, Fayrouz; Abdel-Razik, Madiha; Samy, Hend; Wahby, Ghada; Aly Sabry, Hend

doi:10.21608/efmj.2022.86656.1079

Risk Factors Associated with Chronic Diseases among Families Registered in a Family Medicine Center, Egypt

Document Type : Original Article

Authors

¹ public health department/ kasr alainy/ Cairo university

² public health/kasralainy/cairo university

³ Public health and community medicine department/ Kasr al-ainy school of medicine, Cairo university

10.21608/efmj.2022.86656.1079

Abstract

Background: Egypt’s Ministry of Health and Population has 5364 Family Medicine Facilities that encompass family folders with detailed medical information about family members. However, there is no health information system at facility level to provide community morbidity statistics especially chronic communicable and non-communicable diseases . Objectives: Develop statistical module centering on risk factors associated with chronic diseases among families encompassed in family center folders. Methods: the study was done in Family Medicine Center in Giza. A sample of 2169 FF that formed 54% of the total available FF was selected by systematic random sampling technique. An excel program was designed to include 8 sheets to integrate data registered in 16 forms in 32 pages, with subsequent analysis of data on chronic diseases. Results: There were data on 10477 individuals in 2169 FF. The proportions of individuals diagnosed with chronic diseases were 51.9% diabetes mellitus, 26.2% hypertension, 6% cardiac disease, 3.7% renal diseases, 3.4% psychological disorders, 2.1% epilepsy, 1.3% neurological disorders, 1.2% liver diseases, 1.1% blood diseases, 0.9% asthma, 0.3% bone diseases, 0.2% skin diseases and 1.8% tuberculosis. There were statistically significant differences in proportion of cases by crowding index, age, sex, education, work status, and habits. Conclusion: The study provided module of 8 forms that included data from 32 pages of the family folders. Such module allow for statistical analysis for risk factors associated with chronic diseases among families registered in the FMF. Scaling up of such module across FMF could guide service providers to support the at-risk families.

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