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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validity and reliability of the Evidence Utilisation in Policymaking Measurement Tool (EUPMT)
|
|---|---|
| Published in |
Health Research Policy and Systems, August 2017
|
| DOI | 10.1186/s12961-017-0232-6 |
| Pubmed ID | |
| Authors |
M. H. Imani-Nasab, B. Yazdizadeh, M. Salehi, H. Seyedin, R. Majdzadeh |
| Abstract |
As a well-known theory in studying the effective factors on behaviour, the theory of planned behaviour (TPB) is frequently used in evaluating the health behaviour of people and healthcare providers, but rarely applied in studying the behaviour of health policymakers. The aim of the present study is to design and validate a TPB-based measurement tool for evidence utilisation in health policymaking (the EUPMT) through a mixed approach using confirmatory factor analysis. The study population consisted of all the specialised units and their employees in the five deputies of Iran's Ministry of Health and Medical Education in 2013. All those eligible were invited to participate in the study, which comprised 373 persons. The reliability of the EUPMT was determined through test-retest and internal consistency. Additionally, its validity was determined by face, content, convergent, discriminant and construct validities. SPSS-20 and LISREL-8.8 were employed to analyse the data. To assess the fitness of the measurement models, three groups of indices were used, i.e. absolute, relative and parsimonious. The content and face validities of the tool were 83% and 67%, respectively. Cronbach's alpha of different constructs ranged from 0.7 to 0.9. In the test-retest method, the intra-class correlations were between 0.75 and 0.87. Confirmatory factor analysis showed that the penta-factorial structure of the experimental data had acceptable fitness with the TPB (GFI = 0.86, NFI = 0.94, RSMEA = 0.075). TPB is able to explain the behaviour of evidence utilisation in health policymaking. The finalised TPB-based tool has relatively good reliability and validity to assess evidence utilisation in health policymaking. The EUPMT can be applied to determine the status quo of evidence utilisation in health policymaking, whilst designing interventions for its improvement and assessing their outcomes. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 8 | 13% |
| Researcher | 7 | 12% |
| Lecturer | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 20 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 8 | 13% |
| Medicine and Dentistry | 7 | 12% |
| Business, Management and Accounting | 6 | 10% |
| Social Sciences | 4 | 7% |
| Computer Science | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 25 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 August 2017.
All research outputs
#16,723,366
of 24,593,959 outputs
Outputs from Health Research Policy and Systems
#1,169
of 1,320 outputs
Outputs of similar age
#205,450
of 321,821 outputs
Outputs of similar age from Health Research Policy and Systems
#30
of 31 outputs
Altmetric has tracked 24,593,959 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 321,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.