Methods of Evaluation of Community Health Worker Training

2021 ◽  
pp. 157-176
Author(s):  
Celia Brown
Keyword(s):  
Mixed Methods Research ◽  
Quantitative Measure ◽  
Primary Outcome Measure ◽  
Logic Model ◽  
Theory And Practice ◽  
End Points ◽  
Worker Training ◽  
Methods Of Evaluation ◽  
Study Designs ◽  
Health Worker Training

This chapter considers the theory and practice of the evaluation of CHW training. It aims to provide guidance on how to conduct evaluations, focusing on evaluations seeking a quantitative measure of effectiveness. The authors highlight the usefulness of ‘thinking through’ how the training is expected to work by developing a logic model. They then show how the model can be used to help design an appropriate evaluation. In addition, potential study designs and ‘end points’ or outcomes to be measured are discussed. However, the authors emphasize, that these elements need to be considered concurrently, because the appropriateness of the study design depends, in part, on the primary outcome measure for the evaluation. The chapter concludes by describing the benefits of mixed methods research and a number of other considerations when designing, implementing, and writing up the important task of evaluating CHW training.

COMPETENCY-BASED EDUCATION: THEORY AND PRACTICE

2021 ◽  
Author(s):  
Tacettin Açıkgöz ◽  
Mustafa Cem Babadoğan
Keyword(s):  
Mixed Methods Research ◽  
Traditional Education ◽  
Theory And Practice ◽  
Formative Assessments ◽  
Competency Based Education ◽  
Education Theory ◽  
History Of ◽  
Competency Based ◽  
Convergent Design ◽  
Structured Questionnaire

This study aimed to reach a pro on Competency-Based Education (CBE) through the opinions of Educational Sciences experts and to review the literature on CBE. In this study, convergent design, one of the mixed methods research, was used, and a semi-structured questionnaire was used to collect data. The sample was selected through convenience sampling and consisted of 28 participants. In the study, the documents related to National and International Qualifications Frameworks, history of CBE, its comparison with traditional education, its implementation, and the challenges of CBE practices are reviewed. The findings revealed that there is a conceptual consensus among the experts on the concepts of skill and learning outcome, but no agreement on the use of “competence,” “proficiency,” and “qualification.” The study showed that the experts adopt the most up-to-date definitions of CBE, but it is often confused with Proficiency-Based Education. The study revealed that CBE focuses on the demonstration of competence when considering students’ progress and measures it by formative assessments and that, in CBE, students’ learning gaps are eliminated by supporting them at each stage.

Construct the Logic Model and Research Design (Step 3)

2019 ◽  
pp. 81-88
Author(s):  
Edmund M. Ricci ◽  
Ernesto A. Pretto ◽  
Knut Ole Sundnes
Keyword(s):  
Mixed Methods ◽  
Research Design ◽  
Mixed Method ◽  
Disaster Response ◽  
Mixed Methods Research ◽  
Research Question ◽  
Logic Model ◽  
Data Set ◽  
Evaluation Team ◽  
Mixed Method Design

A ‘mixed-methods’ research design, based upon the categories contained in a disaster response logic model, is suggested as the best approach to capture the complexities of the medical and public health disaster response experience. A mixed-methods design allows the evaluation team to collect and combine data from direct observation, medical records, interviews with victims, health professionals, family and friends of victims, public safety officials, other government and non-governmental officials and from public documents. Validation in a mixed-method design is based upon the concept of triangulation. The term triangulation is used in behavioral research to describe the process of obtaining data from three or more different sources and then comparing the findings to assess consistency across sources. In this design, both qualitative and quantitative data are collected and then merged during the analysis phase. Each data set is used to validate and enhance the other in order to improve the validity of the conclusions reached and the recommendations that follow. However, not all data need be combined. The mixed-method design allows for the analysis of certain types of data separately and then applied to the appropriate research question because there may be no appropriate comparative data.

The Impact of Community Health Worker Training and Programs in NYC

2006 ◽  
Vol 17 (1S) ◽  
pp. 26-43 ◽  
Author(s):  
Moises Perez ◽  
Sally E. Findley ◽  
Miriam Mejia ◽  
Jacqueline Martinez
Keyword(s):  
Community Health ◽  
Health Worker ◽  
Community Health Worker ◽  
Worker Training ◽  
The Impact ◽  
Health Worker Training

The Impact of Community Health Worker Training and Programs in NYC

2006 ◽  
Vol 17 (1) ◽  
pp. 26-43 ◽  
Author(s):  
Moises Perez ◽  
Sally E. Findley ◽  
Miriam Mejia ◽  
Jacqueline Martinez
Keyword(s):  
Community Health ◽  
Health Worker ◽  
Community Health Worker ◽  
Worker Training ◽  
The Impact ◽  
Health Worker Training

Mixed methods for telehealth research

2016 ◽  
Vol 23 (9) ◽  
pp. 764-769 ◽  
Author(s):  
Liam J Caffery ◽  
Melinda Martin-Khan ◽  
Victoria Wade
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Complex Interventions ◽  
Evaluation Study ◽  
Assessment Tools ◽  
Quantitative Investigation ◽  
Services Research ◽  
Qualitative And Quantitative ◽  
Single Method ◽  
Study Designs

Mixed methods research is important to health services research because the integrated qualitative and quantitative investigation can give a more comprehensive understanding of complex interventions such as telehealth than can a single-method study. Further, mixed methods research is applicable to translational research and program evaluation. Study designs relevant to telehealth research are described and supported by examples. Quality assessment tools, frameworks to assist in the reporting and review of mixed methods research, and related methodologies are also discussed.

Keepin Ya Mob Healthy: Aboriginal Community Participation and Aboriginal Health Worker Training in Victoria

2001 ◽  
Vol 7 (1) ◽  
pp. 116 ◽  
Author(s):  
Karen Adams ◽  
Merilyn Spratling
Keyword(s):  
Training Program ◽  
Health Worker ◽  
Aboriginal People ◽  
Health Workers ◽  
Aboriginal Health ◽  
Successful Implementation ◽  
Community Consultation ◽  
Worker Training ◽  
Health Worker Training ◽  
Aboriginal Health Worker

This article outlines the development of accredited Aboriginal Health Worker training in Victoria. The processes of community consultation are presented as the primary reason for the successful implementation of the training program in its first year of delivery. The most important community consultation processes involved the active input of Elders and Aboriginal Health Workers. The training was seen as more credible by other Koorie people because of the input of these groups. The supportive role played by both the State and Commonwealth governments as well as industry groups are also explored. The successful implementation of the Aboriginal Health Worker training program demonstrates that Aboriginal people know what is best for them and can effectively initiate, organise and deliver their own culturally appropriate training programs.

scholarly journals A Primer on Mixed Methods for Pediatric Researchers

2019 ◽  
Vol 44 (8) ◽  
pp. 905-913 ◽  
Author(s):  
Yelena P Wu ◽  
Janet A Deatrick ◽  
Elizabeth L McQuaid ◽  
Deborah Thompson
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Observational Studies ◽  
Family Health ◽  
Intervention Development ◽  
Central Component ◽  
Children And Families ◽  
Research Teams ◽  
Study Designs ◽  
Answer Format

Abstract Objective To provide a primer on conducting and analyzing mixed methods research studies, and to provide guidance on the write-up of mixed methods research. Methods A question and answer format is used to provide an overview of mixed methods research study designs, tasks and considerations related to conducting and analyzing mixed methods studies, and recommendations for the write-up of results for mixed methods studies. Results Individuals who conduct mixed methods research are encouraged to delineate the quantitative, qualitative, and mixed methods features of the research and how these features fit with the overall study questions. Research teams will benefit from including individuals with expertise in qualitative, quantitative, and mixed methods research. Data integration should be a central component to the analysis and write-up of mixed methods research. Conclusions Increasing the use of mixed methods research in the field of pediatric psychology will contribute to advances in observational studies with children and families, intervention development and evaluation, and creation of new tools and assessments that aim to optimize child and family health outcomes.

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