{"id":1435,"date":"2017-11-20T12:19:56","date_gmt":"2017-11-20T12:19:56","guid":{"rendered":"http:\/\/blogs.lshtm.ac.uk\/hppdebated\/?p=1435"},"modified":"2017-11-20T12:19:56","modified_gmt":"2017-11-20T12:19:56","slug":"step-by-step-how-to-measure-health-worker-motivation-in-low-and-middle-income-countries-lmics","status":"publish","type":"post","link":"https:\/\/blogs.lshtm.ac.uk\/hppdebated\/2017\/11\/20\/step-by-step-how-to-measure-health-worker-motivation-in-low-and-middle-income-countries-lmics\/","title":{"rendered":"STEP-BY-STEP: How to measure health worker motivation in Low- and Middle Income Countries (LMICs)"},"content":{"rendered":"

By Jo Borghi (London School of Hygiene & Tropical Medicine)<\/p>\n

This published paper on ‘How to do (or not to do)\u2026 Measuring health worker motivation in surveys in low- and middle-income countries’<\/strong><\/a> aims to provide a practical overview of the steps involved in designing and implementing surveys measuring health worker motivation in LMICs and analysing and interpreting the findings obtained- with the purpose to increase and improve performance in the long run.<\/p>\n

Step 1: Conceptualising motivation<\/strong><\/p>\n

Motivation is a complex construct as indicated in this definition: \u201cWork motivation is a set of energetic forces that originate both within as well as beyond an individual\u2019s being, to initiate workrelated behaviour, and to determine its form, direction, intensity, and duration.\u201d (Pinder 2008)<\/p>\n

Step 2: Developing and pre-testing a tool<\/strong><\/p>\n

Having selected a conceptualisation of motivation, the first step in developing a survey tool is to identify a set of questions to measure motivation, referred to as a measurement scale<\/p>\n

Step 3: Sample size considerations and sampling<\/strong><\/p>\n

Sample size is a further consideration prior to survey administration. The techniques used to assess the validity of the motivation measure (step 5) require certain minimum sample sizes, dependent on the number of dimensions, items and other factors<\/p>\n

Step 4: Exploratory data analysis<\/strong><\/p>\n

Once the data have been collected, it is important to start with an exploration of the data, estimating mean and median scores and frequencies for each item, and checking for missing data.<\/p>\n

Step 5: Assessing validity of motivation measures <\/strong><\/p>\n

Before using motivation measurements in core analyses, researchers should ensure the measures are valid or that they measured what was intended using exploratory of confirmatory factor analysis.<\/p>\n

Step 6: Measurement Reliability <\/strong><\/p>\n

Reliability refers to the extent to which the measurement scale produces similar results under similar conditions<\/p>\n

Step 7: Core Analysis <\/strong><\/p>\n

Once validity and reliability are established, the motivation measure can be used within analysis depending on the objective of the study. If the objective is to describe motivation levels, item responses can be combined into a composite score typically calculated as the arithmetic mean of a health worker responses.\u00a0 This step also explains how to examine determinants of motivation and changes in motivation over time.<\/p>\n

Step 8: Presenting findings <\/strong><\/p>\n

When reporting findings, it is important to be transparent as to the steps taken to generate results and decisions made during this process.<\/p>\n

Read the full paper at Health Policy and Planning<\/a>.<\/em><\/strong><\/p>\n

Image credit:\u00a0\u00a0airpix<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

By Jo Borghi (London School of Hygiene & Tropical Medicine) This published paper on ‘How…<\/p>\n","protected":false},"author":576,"featured_media":1443,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16247,24205,24213,1],"tags":[24205,58224,26950,58225],"class_list":["post-1435","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health-policy","category-health-systems","category-low-income-countries","category-uncategorized","tag-health-systems","tag-health-workers","tag-lmic","tag-motivation","odd"],"yoast_head":"\nSTEP-BY-STEP: How to measure health worker motivation in Low- and Middle Income Countries (LMICs) - Health Policy and Planning Debated<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.lshtm.ac.uk\/hppdebated\/2017\/11\/20\/step-by-step-how-to-measure-health-worker-motivation-in-low-and-middle-income-countries-lmics\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"STEP-BY-STEP: How to measure health worker motivation in Low- and Middle Income Countries (LMICs) - 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