Training needs of registered midwives in two Comprehensive emergency obstetrics and newborn care. The purpose was to determine training needs of registered midwives to inform a training program
Data files
Mar 24, 2026 version files 37.46 KB
-
Final_TNA__data_2023-2024.csv.txt
33.45 KB
-
README.md
4.01 KB
Abstract
The data was collected from N=202 registered midwives who worked in two Comprehensive Emergency Obstetrics and Newborn Care facilities. The data was collected using a self-administered validated Hennesy-Hicks Training Needs Questionnaire. The first part of the data file is the demographic characteristics of respondents. The variable 'case' is for the anonymous identity of each respondent. The demographic characteristics include age, highest level of education and work experience. The file also contains 37 variables labelled PTI. The PTI stands for perceived task importance. The respondent had to rate how important an item was on a Likert Scale of 1-7, as follows: 1 for not important; 2 for slightly important; 3 for quite important; 4 for moderately important; 5 for important; 6 for very important and 7 for extremely important. Then specific training needs were determined. For this variable, respondents indicated which of the seven health conditions they would want to be trained on. These were based on the results from the pretesting of the data collection tool. Respondents were also asked to mention other topics they would want to be trained on, therefore that variable “other specific needs” was a string variable. During analysis, the variable was coded based on the 14 similar responses provided.
The last part of the tool contains 37 items on PTP which stands for perceived task performance. The respondent had to rate how important an item was on a Likert Scale of 1-7, as follows: 1 for not well; 2 for slightly well; 3 for quite well; 4 for moderately well; 5 for well; 6 for very well and 7 for extremely well.
We found that all 37 items had training needs. The research/audit category had the highest training need, while training on newborn resuscitation was the highest training need on the specific training needs.
The purpose was to determine training needs of registered midwives to inform a training program
Dataset DOI: 10.5061/dryad.kh18932p5
Description of the data and data file structure
The data set contains de-identified data collected through a questionnaire from N=202 registered midwives who worked in two hospitals in Eswatini in the year 2023-2024. The data was descriptive and non-experimental. Training needs of registered midwives were determined using a Hennessy Hicks Training Needs Questionnaire. From the responses of midwives, training needs were identified in all the 37 items of the adapted questionnaire. After application of a previously used criterion of a standard deviation of 1.5. the highest training needs were 19, instead of 37. For the superordinate categories, the research/ audit category had the highest training need.
File Descriptions
Final_TNA__data_2023-2024.csv.txt
The first part of the data file is the demographic characteristics of respondents. The variable 'case' is for the identity of each respondent. The demographic characteristics include age, highest level of education and work experience. The file also contains 37 variables labelled PTI. The PTI stands for perceived task importance. The respondent had to rate how important an item was on a Likert Scale of 1-7, as follows: 1 for not important; 2 for slightly important; 3 for quite important; 4 for moderately important; 5 for important; 6 for very important and 7 for extremely important. Then specific training needs were determined. For this variable, respondents indicated which of the seven health conditions they would want to be trained on. These were based on the results from the pretesting of the data collection tool. Respondents were also asked to mention other topics they would want to be trained on, therefore that variable “other specific needs” was a string variable. During analysis, the variable was coded based on the 14 similar responses provided.
After the other specific training needs, the file then has 37 variables on PTP which stands for perceived task performance, rated on a Likert Scale of 1-7, as follows: 1 for not well; 2 for slightly well; 3 for quite well; 4 for moderately well; 5 for well; 6 for very well and 7 for extremely well.
Adaptation of the data collection tool also includes grouping the items into five superordinate categories and determining the category with the highest training need. The category groups include the research/ audit, communication/ teamwork, administration, clinical tasks and management/ supervisory tasks. The items were grouped as follows
1. Research/ audit: Items 3, 7, 22 and 25
2. Communication/ teamwork: Items 1, 5, 6, 11, 12 and 21
3. Administration: Items 2, 17 and 23
4. Clinical tasks: Items 8, 10, 14, 15, 18, 20, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 and 37
5. Management/ supervisory tasks: Items 4, 9, 13, 16, 19 and 24
Potential consumers may determine if there is a relationship between age and work experience with perceived task performance.
Sharing or accessing information
I consent to the explicit release of the data set into the public domain under the terms of a Creative Commons Zero (CC0) waiver.
The data was derived from N=202 registered midwives who worked in two hospitals in Eswatini from 2023-2024.
Code/ software
The SPSS version 29 software was used for data analysis. Descriptive statistics were run to determine the mean, mode, median, standard deviation, percentages and frequencies. The variables age and work experience were computed to different variables for descriptive analysis. The student paired t-test was executed to determine the differences between each superordinate category and the significance between each superordinate category.
Data was collected from registered midwives who participated voluntarily in the study, using a self-administered questionnaire. Field workers assisted respondents when required to. After the questionnaires were filled, data were transferred to SPSS Software version 29 but questionnaires that had missing values were excluded from the analysis. Data was cleaned in preparation of the analysis.
Descriptive statistics were determined for demographic characteristics of the respondents. Descriptive statistics were also run for all the 37 items. To determine training needs, a low rating on task performance than task importance indicated a training need on that item. A previously used criterion was applied to determine the highest training needs. The criterion was a standard deviation of > than 1.5. From that analysis, 18 training needs were identified.
Adaptation of the data collection tool also included grouping the items into five superordinate categories and determining the category with the highest training need. The category groups include the research/ audit, communication/ teamwork, administration, clinical tasks and management/ supervisory tasks. The items were grouped as follows
1. Research/ audit: Items 3, 7, 22 and 25
2. Communication/ teamwork: Items 1, 5, 6, 11, 12 and 21
3. Administration: Items 2, 17 and 23
4. Clinical tasks: Items 8, 10, 14, 15, 18, 20, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 and 37
5. Management/ supervisory tasks: Items 4, 9, 13, 16, 19 and 24
A paired sample t- test was used to establish significance in differences between PTI and PTP for each of the five category pairs with significance at p=<.05.