| Title |
Motivation of health workers and associated factors in public hospitals of West Amhara, Northwest Ethiopia
|
|---|---|
| Published in |
Patient preference and adherence, February 2016
|
| DOI | 10.2147/ppa.s90323 |
| Pubmed ID | |
| Authors |
Zemichael Weldegebriel, Yohannes Ejigu, Fitsum Weldegebreal, Mirkuzie Woldie |
| Abstract |
Health professionals' motivation reflects the interaction between health professionals and their work environment. It can potentially affect the provision of health services; however, this important attribute of the workplace climate in public hospitals is not usually given serious attention to the desired level. For this reason, the authors of this study have assessed the level of motivation of health professionals and associated factors in public hospitals of West Amhara, Northwest Ethiopia. A facility based cross-sectional study was conducted in eight public hospitals of West Amhara from June 1 to July 30, 2013. A total of 304 health professionals were included in this study. The collected data were analyzed using SPSS software version 20. The reliability of the instrument was assessed through Cronbach's α. Factor scores were generated for the items found to represent the scales (eigenvalue greater than one in varimax rotation) used in the measurement of the variables. The scores were further analyzed using one-way analysis of variance, t-tests, Pearson's correlation, and hierarchical multiple linear regression analyses. The cut-off point for the regression analysis to determine significance was set at β (95% confidence interval, P<0.05). Mean motivation scores (as the percentage of maximum scale scores) were 58.6% for the overall motivation score, 71.0% for the conscientiousness scale, 52.8% for the organizational commitment scale, 58.3% for the intrinsic motivation scale, and 64.0% for organizational burnout scale. Professional category, age, type of the hospital, nonfinancial motivators like performance evaluation and management, staffing and work schedule, staff development and promotion, availability of necessary resources, and ease of communication were found to be strong predictors of health worker motivation. Across the hospitals and professional categories, health workers' overall level of motivation with absolute level of compensation was not significantly associated with their overall level of motivation. The strongest drivers of all motivation dimensions were found to be nonfinancial human resource management tools, so policy makers and health workforce stake holders should focus on these tools to alleviate motivation problems. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 257 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 60 | 23% |
| Researcher | 17 | 7% |
| Student > Postgraduate | 16 | 6% |
| Student > Ph. D. Student | 14 | 5% |
| Student > Bachelor | 14 | 5% |
| Other | 42 | 16% |
| Unknown | 95 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 18% |
| Nursing and Health Professions | 38 | 15% |
| Social Sciences | 16 | 6% |
| Business, Management and Accounting | 13 | 5% |
| Psychology | 11 | 4% |
| Other | 30 | 12% |
| Unknown | 104 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2016.
All research outputs
#7,217,714
of 25,576,275 outputs
Outputs from Patient preference and adherence
#492
of 1,769 outputs
Outputs of similar age
#108,318
of 407,504 outputs
Outputs of similar age from Patient preference and adherence
#8
of 42 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,769 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 407,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.