Physicians (per 1,000 people) in Ethiopia was reported at 0.108 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Physicians - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Ethiopia ET: Physicians: per 1000 People data was reported at 0.022 Ratio in 2010. This records a decrease from the previous number of 0.025 Ratio for 2009. Ethiopia ET: Physicians: per 1000 People data is updated yearly, averaging 0.022 Ratio from Dec 1960 (Median) to 2010, with 24 observations. The data reached an all-time high of 0.032 Ratio in 2005 and a record low of 0.009 Ratio in 1960. Ethiopia ET: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

Density of physicians of Ethiopia surged by 6.93% from 0.1 number per thousand population in 2021 to 0.1 number per thousand population in 2022. Since the 32.89% slump in 2019, density of physicians soared by 111.76% in 2022.

Selected health, development and poverty indicators of ethiopia[7, 10,11].

Characteristics of nurses and physicians working in public hospitals of Jimma Zone, Southwest Ethiopia, 2014 (n = 466).

Abstract

Introduction Dabat Health and Demographic Surveillance System (HDSS), also called the Dabat Research Center (DRC), was established at Dabat District in 1996 after conducting initial census. Later re-census was done in 2008. The surveillance is run by the College of Medicine and Health Sciences which is one of the colleges/faculties of the University of Gondar. Dabat district is one of the 21 districts in North Gondar Administrative Zone of Amhara Region in Ethiopia. According to the report published by the Central Statistical Agency in 2007, the district has an estimated total population of 145,458 living in 27 rural and 3 urban Kebeles (sub-districts). The altitude of the district ranges from about 1000 meters to over 2500 meters above sea level. The district population largely depends on subsistence agriculture economy. There are two health centers, three health stations, and twenty-nine health posts providing health services for the community. An all-weather road runs from Gondar town through Dabat to some towns of Tigray. Dabat town, the capital of Dabat District, is located approximately 821 km northwest of Addis Ababa and 75 kms north of Gondar town. The surveillance is funded by Centers for Disease Control and Prevention (CDC) through Ethiopian Public Health Association.

Objectives Dabat HDSS/ Dabat Research Centre was established to generate longitudinal data on health and population at district level and provide a study base and sampling frame for community-based research.

Methods Dabat district was initially selected purposively as a surveillance site for its unique three climatic conditions, namely Dega (high land and cold), Woina dega (mid land and temperate) and Kolla (low land and hot). The choice was made with the assumption that there would be differences in morbidity and mortality in the different climatic areas. Accordingly, seven kebeles from Dega, one kebele from Woina dega, and two kebeles from Kolla were selected randomly after stratification of the kebeles by climatic zone.

After the re-census, update has been done regularly every 6 months. During each round, data has been collected using a semi-structured questionnaire which included information related to birth and other pregnancy outcomes, death, migration, and marital status change. Interviews are administered to the heads of the household but in the absence of the head, the next elder family member is interviewed. This is only done after repeated trial of getting the head. While the regular update round is every six months, deaths that occur in the surveillance site are reported immediately to the data collectors by the local guides. After the mourning period, usually 45 days, the trained data collectors administer Verbal Autopsy (VA) questionnaire to the close relative of the deceased to get information on the possible cause(s) of death. Three VA questionnaires are prepared for the age groups 0-28 days, 29 days to 15 years, and greater than 15 years. To assign cause(s) of death, the VA data collected by data collectors is given to physicians who have got training on VA. These physicians independently assign causes of death using the standard International Classification of Diseases (ICD-10).

Geographic coverage

Dabat Health and Demographic Surveillance System (HDSS) included seven rural kebeles (sub districts) and three urban kebeles in Dabat district which is located 75 km North of Gondar town in Ethiopia. There are highlands, midlands and few low land households in the HDSS site.

Analysis unit

Individual

Universe

All individuals residing in Dabat HDSS site.

Kind of data

Event history data

Frequency of data collection

Two rounds per year

Mode of data collection

Face-to-face [f2f]

Research instrument

All questionnaires are prepared in Amharic language. The surveillance questionnaires are related to birth and other pregnancy outcomes, death, and migration.

Cleaning operations

The filled questionnaire is checked by filled supervisors, document clerk, data entry clerks for missings and other violations. In addition, DRC Software, a software developed from Microsoft Access and Visual Basic, checks violations against set of rules for data quality during data entry.

Response rate

100% response rate

Sampling error estimates

Not applicable

Data appraisal

CentreId MetricTable QMetric  Illegal   Lega  Total  Metric RunDate 
ET051 MicroDataCleaned Starts  0  59082  0  0.0 2014-06-27 19:33 
ET051 MicroDataCleaned Transitions 0  129938 129938 0.0 2014-06-27 19:33 
ET051 MicroDataCleaned Ends 0  59082  0  0.0 2014-06-27 19:33

Introduction: The stethoscope, which is non-critical medical devices and a symbol of healthcare, is likely to be contaminated by pathogenic microorganisms and can play a contributory role in the transmission of hospital-acquired infection. And regular cleaning of the diaphragm of the stethoscope with a suitable disinfectant is decisive. However, in the resource-constrained setting like many healthcare facilities in Ethiopia healthcare provider’s stethoscope disinfection practice and its associated factors have not been well studied so far. Therefore, this study sought to determine stethoscope disinfection practice and associated factors among the healthcare providers in Addis Ababa, Ethiopia. Methods: A facility-based cross-sectional study was carried out between April and May 2016. For this study, 576 healthcare providers (physicians, health officers, nurses, midwives, and anesthesiologist) were included from 21 healthcare facilities in Addis Ababa. A pre-tested structured questionnaire was used for data collection. Descriptive statistics were computed. Bivariate and multivariable logistic regression analyses were used to identify factors that were significantly associated with stethoscope disinfection after every use. Results: A total of 546 healthcare providers participated in this study, for a response rate of 94.7%. Two-fifths, 39.7% (95%CI: 35.9, 44.0%) of healthcare providers disinfecting their stethoscope after every use. And a significant number of participants 34.6% (95%CI: 30.8, 38.5%) never disinfect their stethoscope. Three out of four (76.0%) healthcare providers believe that stethoscope contamination can contribute to the transmission of infections. Safe infection prevention practice (AOR = 3.79, 95%CI: 2.45–5.84), awareness on infection prevention guideline (AOR = 1.93; 95%CI: 1.31, 2.82), and favorable attitude towards infection prevention (AOR = 1.73, 95%CI: 1.02, 2.93) were significantly associated with stethoscope disinfection after every use. The study also found that the odds of stethoscope disinfection were likely to be reduced by 79% among physicians than nurses (AOR = 0.21; 95%CI: 0.09, 0.49).Conclusions: Only a small proportion of healthcare providers disinfect their stethoscopes after every use. Factors such as safe infection prevention practice, awareness on infection prevention guidelines, and favorable attitude towards infection prevention were the independent predictors of stethoscopes disinfection after every use. Hence, promotion of stethoscope hygiene along with an educational program to enhance disinfection compliance in healthcare facilities may have a positive effect.

Frequency of perceived openness and sharing of information items during nurse-physician communication among nurses and physicians working in public Hospitals of Jimma Zone, Southwest Ethiopia, 2014 (n = 466).

Frequency of perceived professional respect and satisfaction items during nurse-physician communication among nurses and physicians working in public Hospitals of Jimma Zone, Southwest Ethiopia, 2014 (n = 466).

Mean and %SM scores for factors related to perceived level of nurse-physician communication in patient care among nurses and physicians working in public hospitals of Jimma Zone, Southwest Ethiopia, 2014 (n = 466).

Independent sample t-test showing perceived nurse-physician communication as measured by openness and sharing of information among nurses and physicians working in public Hospitals of Jimma zone, 2014 (n = 466).

Eigen values and the percentage of variance associated in the three nurse-physician communication factors among nurses and physicians working in public hospitals of Jimma zone, 2014 (n = 466).

Multiple variables linear regression predicting perceived openness and sharing of patient information during nurse-physician communication in patient care among nurses and physicians working in public Hospitals of Jimma zone, 2014(n = 466).

Multiple variables linear regression predicting perceived respect and satisfaction with nurse-physician communication in patient care among nurses and physicians working in public Hospitals of Jimma zone, 2014(n = 466).

Association of independent variables with a satisfaction level of physicians at selected public hospitals in Ethiopia, November 2017.

Characteristics of drug information provided by medical representatives to physicians in Mekelle, Northern Ethiopia, 2015.

References used by physicians in case of problem during prescribing process in Mekelle, Northern Ethiopia, 2015.

Multiple comparison ANOVA table of educational qualifications and perceived nurse-physician communication as measured by two communication scale among nurses and physicians working in public Hospitals of Jimma zone, 2014.

Overview of hospitals and health centres in the intervention areas.

Frequency and kinds of gifts offered to physicians in Mekelle, Northern Ethiopia, 2015 (N = 83).