Your browser doesn't support javascript.
Epidemiological factors affecting outpatient department service utilization and hospitalization in patients with diabetes: A time-series analysis from an Ethiopian hospital between 2018 and 2021.
Benoni, Roberto; Sartorello, Anna; Uliana, Monica; Solomon, Hiwot; Bertolino, Alessia; Pedot, Andrea; Tsegaye, Ademe; Gulo, Berhanu; Manenti, Fabio; Andreani, Giacomo.
  • Benoni R; Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Sartorello A; Doctors with Africa CUAMM, Padova, Italy.
  • Uliana M; Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Solomon H; Doctors with Africa CUAMM, Padova, Italy.
  • Bertolino A; Department of Internal Medicine IV, AOU Pisana, Pisa, Italy.
  • Pedot A; Disease Prevention and Control Directorate, Federal Ministry of Health, Addis Ababa, Ethiopia.
  • Tsegaye A; Division of Paediatric Surgery, Department of 'Salute della Donna e del Bambino', University of Padova, Padova, Italy.
  • Gulo B; School of Medicine and Surgery, Dept. of Medicine, University of Padova.
  • Manenti F; Doctors with Africa CUAMM, Addis Ababa, Ethiopia.
  • Andreani G; Doctors with Africa CUAMM, Addis Ababa, Ethiopia.
J Glob Health ; 12: 04087, 2022 Oct 23.
Article in English | MEDLINE | ID: covidwho-2090805
ABSTRACT

Background:

The burden of diabetes-related deaths reached two million in 2019 globally. Accessibility to health care services and adherence to follow-up and therapy are key to improving outcomes for diabetic patients. We aimed to assess outpatient department (OPD) service utilization and diabetes-related hospitalizations over a period of 44 months.

Methods:

A retrospective cohort study was conducted on OPD visits and hospitalizations recorded between January 1, 2018, and August 31, 2021, at the St Luke Catholic Hospital (Ethiopia). All diabetic patients were included in the analysis. A linear regression model was used for univariate analysis of OPD visits and hospitalizations and their association with potential predictors. The autoregressive integrated moving average (ARIMA) method was applied to both the time series of OPD visits and hospitalizations. Potential predictors were sociodemographic factors, COVID-19 cases, mean monthly temperature and precipitations.

Results:

In the time series analysis, OPD visits increased over time (P < 0.01) while hospitalizations were stable. The time series model was ARIMA (0,1,1) for OPD visits and ARIMA (0,0,0) for hospitalizations. There were 1685 diabetes OPD patients (F = 732, 43%). Females had an average of 16% fewer OPD accesses per month (P < 0.01) and a lower number of hospitalizations per month (P = 0.03). There were 801 patients missing follow-up (48%). The time between follow-up increased with age (P < 0.01). OPD visits decreased differently by geographic area as COVID-19 cases increased (P < 0.01). There were 57 fewer forecast OPD visits per month on average using COVID-19 cases as ARIMA regressor. The odds ratio (OR) of new diagnosis at hospitalization was lower in patients with type 2 diabetes (OR = 0.26, 95% CI = 0.14-0.49, P = 0.02).

Conclusions:

Despite an increase in OPD visits for diabetic patients over the study period, the number of losses at follow-up and diagnoses at hospitalization remains high. Female sex, older age, and COVID-19 were associated with impaired OPD service accessibility. Primary health care should be implemented to achieve better health coverage and improve diabetes management.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Female / Humans Country/Region as subject: Africa Language: English Journal: J Glob Health Year: 2022 Document Type: Article Affiliation country: Jogh.12.04087

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Female / Humans Country/Region as subject: Africa Language: English Journal: J Glob Health Year: 2022 Document Type: Article Affiliation country: Jogh.12.04087