Title |
Chronic diseases multi-morbidity among adult patients at Hawassa University Comprehensive Specialized Hospital
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Published in |
BMC Public Health, March 2018
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DOI | 10.1186/s12889-018-5264-5 |
Pubmed ID | |
Authors |
Endrias Markos Woldesemayat, Andargachew Kassa, Taye Gari, Mesay Hailu Dangisso |
Abstract |
Non-communicable chronic diseases (NCCDs) multi-morbidity is becoming one of the public health problems in Ethiopia. The objective of this study was to describe the prevalence of NCCDs and multi-morbidity among adult patients at Hawassa University Comprehensive Specialized Hospital (HUCSH). Between January and February 2016, a cross-sectional study was carried out among patients aged ⩾ 18 years attending the outpatient department of the hospital. Trained nurses interviewed patients and reviewed medical records. Multi-morbidity was defined as the coexistence of two or more NCCDs in an individual. Two hundred twenty seven (55.2%) of the respondents had at least one of the NCCDs and 73 (17.8%) of them had multi-morbidity. The commonest diseases that affected the patients were diseases of the musculoskeletal system. The risk of having NCCDs was highest among patients aged above 44 years (Adjusted odds ratio (AOR) = 2.7, 95% CI 1.5-4.8). Non educated patients (AOR = 1.7, 95% CI 1.0-2.7) and patients with high household income (AOR = 1.6, 95% CI 1.0-2.5) and patients with a body mass index (BMI) of at least 25 (AOR = 2.0, 95% CI 1.1-3.7) had higher odds of having NCCDs. Highest odds of multi-morbidity was observed among patients aged above 44 years (AOR = 4.4, 95% CI 2.2-8.8). The prevalence of NCCDs and multi-morbidity among the study population was high. Identifying and addressing modifiable risk factors; screening, treatment and follow-up of patients with NCCDs could help in reducing the burden of NCCDs multi-morbidity and its effect. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 16% |
Student > Bachelor | 9 | 11% |
Lecturer | 5 | 6% |
Researcher | 5 | 6% |
Other | 4 | 5% |
Other | 13 | 16% |
Unknown | 33 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 17 | 21% |
Medicine and Dentistry | 17 | 21% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Agricultural and Biological Sciences | 1 | 1% |
Computer Science | 1 | 1% |
Other | 8 | 10% |
Unknown | 36 | 44% |