Cross-sectional survey of health worker motivation in Ethiopia – Collection tools for qualitative and quantitative research

Quaife, M. 2022. Cross-sectional survey of health worker motivation in Ethiopia – Collection tools for qualitative and quantitative research. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00001565.

Quaife, M. Cross-sectional survey of health worker motivation in Ethiopia – Collection tools for qualitative and quantitative research [Internet]. London School of Hygiene & Tropical Medicine; 2022. Available from: https://doi.org/10.17037/DATA.00001565.

Quaife, M (2022). Cross-sectional survey of health worker motivation in Ethiopia – Collection tools for qualitative and quantitative research. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001565.

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Description of data capture Repeat cross-sectional survey of health worker motivation in Ethiopia. Data collection and analysis followed a sequential mixed methods approach. Baseline quantitative data were collected in April and May 2018 immediately prior to the start of the QI programme. Qualitative data were collected in April and May 2019. Endline quantitative data were collected in June 2019 at the end of the QI programme test of scale phase. In the baseline survey for each woreda we mapped the hospital and all health centres and health posts and obtained permission letters from woreda health offices. In each hospital or health centre/post, we obtained a list of all eligible MNH providers and randomly selected participants for interviews. Their names were written in alphabetical order next to a column of randomly generated numbers and interviewers sequentially chose participants from the smallest random number upwards until the requisite number of participants was reached. If participants were not available, we sought to arrange interviews via phone and returned to the facility up to three times before classifying them as unreachable and selecting the next worker from the list. In each woreda, we interviewed around 30 participants across a range of health worker and management cadres, including the heads or clinical directors of the woreda, each hospital, and each health centre. We interviewed around four maternal and child health care providers from the hospitals and two from each health centre, around five HEWs from each health centre, and one HEW from each health post. In the endline survey, conducted 15 months after the baseline survey and immediately after learning session four, we sought to re-interview all participants regardless of if they were in the same post as at baseline. We used mobile phone numbers provided at baseline and alongside information from woreda health office staff to locate participants. If participants could not be located after three attempts via phone and other channels, they were deemed to be uncontactable. When all participants had been either contacted or deemed uncontactable, we re-sampled at the facility level using the same randomisation methods as at baseline.
Data capture method Questionnaire
Data Collection Period
FromTo
20182019
Date (Completed) 25 July 2022
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
11.349440.878900
Language(s) of written materials Amharic, English
Data Creators Quaife, M
Associated roles Seifu, A (Researcher) and Woldesenbet, D (Researcher)
LSHTM Faculty/Department Faculty of Public Health and Policy > Dept of Global Health and Development
Research Centre IDEAS
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders
ProjectFunderGrant NumberFunder URI
IDEAS – Informed Decisions for Actions to Improve Maternal and Newborn HealthBill and Melinda Gates FoundationUNSPECIFIEDhttp://dx.doi.org/10.13039/100000865
Date Deposited 31 Jul 2022 18:20
Last Modified 31 Jul 2022 18:23
Publisher London School of Hygiene & Tropical Medicine

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Filename: QIHWM_dataset.csv

Description: Quality improvement and health worker motivation - final merged dataset

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Filename: QIHWM_dataset_codebook.html

Description: Codebook for QI-HW-motivation dataset

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Filename: Survey_consent_English.pdf

Description: Information sheet to explain participation in survey to explore attitudes and motivation among workers in the health system

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Filename: Motivation_study_protocol_v4.pdf

Description: Evaluating the effect of a maternal and newborn health quality improvement strategy on health worker motivation and practice intent in Ethiopia - study protocol

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Study Instrument

Filename: Interview_topic_guide_HEW.pdf

Description: Interview topic guide for Health Extension Workers (HEW)

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Filename: Motivation_ODK_survey_endline.xlsx

Description: Export of endline survey produced for Open Data Kit (ODK) – 22nd June

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