| Literature DB >> 32670610 |
Lidewij Eva Vat1,2, Mike Warren3, Susan Goold3, Everard Bud Davidge3, Nicole Porter4, Tjerk Jan Schuitmaker-Warnaar1, Jacqueline E W Broerse1, Holly Etchegary2.
Abstract
BACKGROUND: Efforts to engage patients as partners in health research have grown and thereby the need for feedback and evaluation. In this pilot evaluation study, we aimed to 1) evaluate patient engagement in health research projects in Newfoundland and Labrador, Canada, and 2) learn more about how to best monitor and evaluate patient engagement. This paper presents the results of our participatory evaluation study and the lessons learned. The evaluation of the projects was driven by questions patients wanted answered.Entities:
Keywords: Evaluation; Monitoring; Outcomes; Participatory evaluation; Participatory research; Patient and public involvement; Patient engagement; Patient participation
Year: 2020 PMID: 32670610 PMCID: PMC7350650 DOI: 10.1186/s40900-020-00206-5
Source DB: PubMed Journal: Res Involv Engagem ISSN: 2056-7529
Glossary of terms
| Term | Description |
|---|---|
| Formative evaluation | Formative evaluation is typically conducted during program development or implementation in order the strengthen or improve a program [ |
| Summative evaluation | Summative evaluation is typically conducted once a program is established in order to examine the effects or outcomes of a program [ |
| Participatory evaluation | Participatory evaluation systematically invites and engages stakeholders in program evaluation planning and implementation [ |
| Statistics | Statistical methods are used for analysing and summarizing data by for example calculating the mean or standard deviation and testing the relationship between data sets (e.g. the relationship between inputs and impacts). |
| Descriptive qualitative approach | A research method that is used to provide a comprehensive summary of data reported in words. Data are analysed without a pre-existing (a priori) set of codes or assumptions [ |
| Value model | A visual illustration that presents the expected impact of a program |
| Logic model | A visual illustration (road map) that presents the relationship between inputs, activities, outputs, outcomes and impacts of a program. A logic model is often used to guide evaluation planning and/or analysis. |
Study participants of NL SUPPORT patient-oriented research grants
| Funding call year | Number of projects midway their research in May 2018 | Invited participants | Response |
|---|---|---|---|
| 2016–2017 (fall) | N = 2 | N = 2 principal investigators | N = 1 principal investigators |
| 2017–2018 (fall) | N = 6 | N = 5 principal investigators |
Study participants of NL SUPPORT educational funding
| Funding year | Number of projects | Invited participants | Response |
|---|---|---|---|
| 2016 (fall and spring) | N = 8 | N = 6 MSc students N = 2 PhD students | N = 1 PhD student |
| 2017 (fall and spring) | N = 11 MSc students | N = 8 MSc students |
Fig. 1Logic model based on the SPOR Visual Value Model for Patient Engagement [6]
Overview of the demographics of study participants
| Participants | Demographics | Number (N) |
|---|---|---|
| Researchers ( | Career | Junior ( Mid career ( Senior (n = 2) |
| Background | Researcher ( Clinical scientist (n = 3) | |
| Sex | Female ( Male ( | |
| Patient partners (who worked with researchers) ( | Age | 22–92 years, mean = 46,5 years |
| Sex | Male (n = 1) Female ( | |
| Level of education | University degree ( Trade school or college (n = 3) High school (n = 2) | |
| Current work status | Working full-time (n = 8) Working part-time (n = 1) Not in labour force, unable to work (n = 1) Student (n = 2) Retired (n = 2) | |
| Students (N = 13) | Faculty | Medicine ( Clinical Epidemiology (n = 2) Pharmacy (n = 2) Genetics (n = 1) |
| Sex | Male (n = 5) Female (n = 7) Other (n = 1) |
Fig. 2Responses to the statement ‘I believe that patient partners can improve the quality and outcomes of research’ shown per group (students, patient partners and researchers)
Fig. 3Responses to the statement ‘The insights and comments of patient partners impacted the decisions’ shown per group (students, patient partners and researchers)
Overview of the outcomes and impacts of patient engagement in this evaluation study
| Positive outcomes and impacts of patient engagement | Negative outcomes and impacts (or challenges) of patient engagement |
|---|---|
| The evaluation study is conducted in areas patients’ value | Challenge for the evaluation team to select evaluation questions relevant to all stakeholder groups |
| Patients influence decision-making and dissemination of evaluation findings | Reduced efficiency, increased time and resources |
| Increased transparency, applicability and validation of the evaluation findings | Struggle to find relevant measurement tools, extra time needed to adapt exiting tools to local needs |
| Learning about the variety of perspectives on evaluation of patient engagement, questions and evaluation objectives (all) | Tension between the scientific rigour and practical relevance for the community (researchers) |
| Increased understanding of research and confidence to speak up in other research projects (patient partners) | |
| Increased motivation to become involved in future research and evaluation studies (patient partners) | |
| Learning about research and evaluation, capacity building (patient partners) | |
| Increased understanding of co-designing an evaluation study and confidence that patients can be good co-investigators (researchers) | |
| Increased motivation to evaluate patient engagement (researchers) | |
| Fun experience (all) |