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Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal
BACKGROUND: A global shortage of health workers in rural areas increases the salience of motivating and supporting existing health workers. Understandings of motivation may vary in different settings, and it is important to use measurement methods that are contextually appropriate. We identified a m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429816/ https://www.ncbi.nlm.nih.gov/pubmed/25959298 http://dx.doi.org/10.1186/s12960-015-0021-7 |
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author | Morrison, Joanna Batura, Neha Thapa, Rita Basnyat, Regina Skordis-Worrall, Jolene |
author_facet | Morrison, Joanna Batura, Neha Thapa, Rita Basnyat, Regina Skordis-Worrall, Jolene |
author_sort | Morrison, Joanna |
collection | PubMed |
description | BACKGROUND: A global shortage of health workers in rural areas increases the salience of motivating and supporting existing health workers. Understandings of motivation may vary in different settings, and it is important to use measurement methods that are contextually appropriate. We identified a measurement tool, previously used in Kenya, and explored its validity and reliability to measure the motivation of auxiliary nurse midwives (ANM) and staff nurses (SN) in rural Nepal. METHOD: Qualitative and quantitative methods were used to assess the content validity, the construct validity, the internal consistency and the reliability of the tool. We translated the tool into Nepali and it was administered to 137 ANMs and SNs in three districts. We collected qualitative data from 78 nursing personnel and district- and central-level stakeholders using interviews and focus group discussions. We calculated motivation scores for ANMs and SNs using the quantitative data and conducted statistical tests for validity and reliability. Motivation scores were compared with qualitative data. Descriptive exploratory analysis compared mean motivation scores by ANM and SN sociodemographic characteristics. RESULTS: The concept of self-efficacy was added to the tool before data collection. Motivation was revealed through conscientiousness. Teamwork and the exertion of extra effort were not adequately captured by the tool, but important in illustrating motivation. The statement on punctuality was problematic in quantitative analysis, and attendance was more expressive of motivation. The calculated motivation scores usually reflected ANM and SN interview data, with some variation in other stakeholder responses. The tool scored within acceptable limits in validity and reliability testing and was able to distinguish motivation of nursing personnel with different sociodemographic characteristics. CONCLUSIONS: We found that with minor modifications, the tool provided valid and internally consistent measures of motivation among ANMs and SNs in this context. We recommend the use of this tool in similar contexts, with the addition of statements about self-efficacy, teamwork and exertion of extra effort. Absenteeism should replace the punctuality statement, and statements should be worded both positively and negatively to mitigate positive response bias. Collection of qualitative data on motivation creates a more nuanced understanding of quantitative scores. |
format | Online Article Text |
id | pubmed-4429816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44298162015-05-14 Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal Morrison, Joanna Batura, Neha Thapa, Rita Basnyat, Regina Skordis-Worrall, Jolene Hum Resour Health Methodology BACKGROUND: A global shortage of health workers in rural areas increases the salience of motivating and supporting existing health workers. Understandings of motivation may vary in different settings, and it is important to use measurement methods that are contextually appropriate. We identified a measurement tool, previously used in Kenya, and explored its validity and reliability to measure the motivation of auxiliary nurse midwives (ANM) and staff nurses (SN) in rural Nepal. METHOD: Qualitative and quantitative methods were used to assess the content validity, the construct validity, the internal consistency and the reliability of the tool. We translated the tool into Nepali and it was administered to 137 ANMs and SNs in three districts. We collected qualitative data from 78 nursing personnel and district- and central-level stakeholders using interviews and focus group discussions. We calculated motivation scores for ANMs and SNs using the quantitative data and conducted statistical tests for validity and reliability. Motivation scores were compared with qualitative data. Descriptive exploratory analysis compared mean motivation scores by ANM and SN sociodemographic characteristics. RESULTS: The concept of self-efficacy was added to the tool before data collection. Motivation was revealed through conscientiousness. Teamwork and the exertion of extra effort were not adequately captured by the tool, but important in illustrating motivation. The statement on punctuality was problematic in quantitative analysis, and attendance was more expressive of motivation. The calculated motivation scores usually reflected ANM and SN interview data, with some variation in other stakeholder responses. The tool scored within acceptable limits in validity and reliability testing and was able to distinguish motivation of nursing personnel with different sociodemographic characteristics. CONCLUSIONS: We found that with minor modifications, the tool provided valid and internally consistent measures of motivation among ANMs and SNs in this context. We recommend the use of this tool in similar contexts, with the addition of statements about self-efficacy, teamwork and exertion of extra effort. Absenteeism should replace the punctuality statement, and statements should be worded both positively and negatively to mitigate positive response bias. Collection of qualitative data on motivation creates a more nuanced understanding of quantitative scores. BioMed Central 2015-05-12 /pmc/articles/PMC4429816/ /pubmed/25959298 http://dx.doi.org/10.1186/s12960-015-0021-7 Text en © Morrison et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Morrison, Joanna Batura, Neha Thapa, Rita Basnyat, Regina Skordis-Worrall, Jolene Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal |
title | Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal |
title_full | Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal |
title_fullStr | Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal |
title_full_unstemmed | Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal |
title_short | Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal |
title_sort | validating a tool to measure auxiliary nurse midwife and nurse motivation in rural nepal |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429816/ https://www.ncbi.nlm.nih.gov/pubmed/25959298 http://dx.doi.org/10.1186/s12960-015-0021-7 |
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