A Retrospective Study of Non-Communicable Diseases amongst Blue-Collar Migrant Workers in Qatar.
Fatima Al-HatimyAbdulaziz FarooqMohamad Al AbiadShilpi YerramsettiMaryam A Y Al-NesfChidambaram ManickamMohammed H Al-ThaniAl-Hareth Al-KhaterWaseem SamsamVidya Mohamed-AliMohammed Al MaadheedPublished in: International journal of environmental research and public health (2022)
Background: South Asian workers have a greater predisposition to non-communicable diseases (NCDs) that is exacerbated by migration and length of residence in host countries. Aims: To examine the association between length of residence in Qatar with diagnosis of NCDs in male blue-collar workers. Methods: A retrospective investigation of the electronic health records (EHRs) of 119,581 clinical visits by 58,342 patients was conducted. Data included age, nationality and confirmed ICD-10 diagnosis. Based on duration of residence, the population was divided into groups: ≤6 months, 6-12 months, 1-≤2 years, 2-≤5 years, 5-≤6 years, >6 years. It was assumed that the group that had been resident in Qatar for ≤6 months represented diseases that had been acquired in their countries of origin. Results: South Asian (90%) patients presented with NCDs at a younger (mean ± SD age of 34.8 ± 9.0 years) age. Diabetes and hypertension were higher in those who had just arrived (<6 months' group), compared to the other durations of residence groups. Conversely, acute respiratory infections, as well as dermatitis and eczema, all increased, perhaps a consequence of shared living/working facilities. Only patients with diabetes and hypertension visited the clinic multiple times, and the cost of medication for these NCDs was affordable, relative to earnings. Discussion/Conclusions: Blue-collar workers were predominantly South Asian, from lower socioeconomic classes, with early onset chronic NCDs. Notably, residence in Qatar gave them better access to affordable, significantly subsidized healthcare, leading to effective management of these chronic conditions.
Keyphrases
- early onset
- end stage renal disease
- electronic health record
- healthcare
- chronic kidney disease
- blood pressure
- newly diagnosed
- type diabetes
- prognostic factors
- peritoneal dialysis
- primary care
- late onset
- cardiovascular disease
- metabolic syndrome
- patient safety
- skeletal muscle
- machine learning
- drug induced
- patient reported
- clinical decision support
- weight loss
- mechanical ventilation
- extracorporeal membrane oxygenation