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Measuring productivity and its relationship to community health worker performance in Uganda: a cross-sectional study

Overview of attention for article published in BMC Health Services Research, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Measuring productivity and its relationship to community health worker performance in Uganda: a cross-sectional study
Published in
BMC Health Services Research, May 2018
DOI 10.1186/s12913-018-3131-9
Pubmed ID
Authors

Naoko Kozuki, Tana Wuliji

Abstract

To explore the nature of the relationship between and factors associated with productivity and performance among the community health volunteer (CHV) cadre (Village Health Teams, VHT) in Busia District, Eastern Uganda. The study was carried out to contribute to the global evidence on strategies to improve CHV productivity and performance. This cross-sectional study was conducted with 140 VHT members as subjects and respondents. Data were collected between March and May 2013 on the performance and productivity of VHT members related to village visits and activities for saving maternal and child lives, as well as on independent factors that may be associated with these measures. Data were collected through direct observation of VHT activities, structured interviews with VHTs, and review of available records. The correlation between performance and productivity scores was estimated, and LASSO regression analyses were conducted to identify factors associated with these two scores independently. VHTs demonstrated wide variation in productivity measures, conducting a median of 13.2 service units in a three-month span (range: 2.0-114.9). Performance of the studied VHTs was generally high, with a median performance score (out of 100) of 96.4 (range: 50.9-100.0). We observed a weak correlation coefficient of 0.05 (p = 0.57) between productivity and performance scores. Older VHT age (≥50 years old, reference: <50 years old) (11.14, 95% CI: 3.26-19.01) and knowledge of danger signs (in units of ten-percentage points, 1.92, 95% CI: 0.01-3.83) were positively associated with productivity scores. Job satisfaction (1.46, 95% CI: 0.13-2.80) and knowledge of danger signs (in units of ten-percentage points, 1.02, 95% CI: 0.05-1.98) were positively associated with performance scores. Older VHT age and knowledge of danger signs were positively associated with productivity, and job satisfaction and knowledge of danger signs were positively associated with performance. No correlation was observed between productivity and performance scores. This lack of correlation suggests that interventions to improve CHV effectiveness may affect the two dimensions of effectiveness differently. We recommend that productivity and performance both be monitored to evaluate the overall impact of interventions to increase CHV effectiveness.

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X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Student > Master 8 11%
Student > Doctoral Student 8 11%
Student > Bachelor 5 7%
Researcher 5 7%
Other 10 14%
Unknown 27 38%
Readers by discipline Count As %
Medicine and Dentistry 9 13%
Nursing and Health Professions 6 8%
Agricultural and Biological Sciences 6 8%
Business, Management and Accounting 5 7%
Social Sciences 5 7%
Other 9 13%
Unknown 32 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 December 2018.
All research outputs
#4,273,340
of 23,980,099 outputs
Outputs from BMC Health Services Research
#1,972
of 8,027 outputs
Outputs of similar age
#80,396
of 330,732 outputs
Outputs of similar age from BMC Health Services Research
#75
of 213 outputs
Altmetric has tracked 23,980,099 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,027 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 75% 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 330,732 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.