The extent, quality and impact of patient and public involvement in primary care research: a mixed methods study
Research Involvement and Engagement volume 4, Article number: 16 (2018)
Plain English summary
In the UK, more patients go to primary care than other parts of the health service. Therefore it is important for research into primary care to include the insights and views of people who receive these services. To explore the extent, quality and impact of patient and public involvement (PPI) in primary care research, we examined documents of 200 projects and surveyed 191 researchers.
We found that about half of studies included PPI to develop research ideas and during the study itself. Common activities included designing study materials, advising on methods, and managing the research. Some studies did not undertake the PPI activities initially planned and funded for. PPI varied by study design, health condition and study population. We found pockets of good practice: having a PPI budget, supporting PPI contributors, and PPI informing recruitment issues. However, good practice was lacking in other areas. Few projects offered PPI contributors training, used PPI to develop information for participants about study progress and included PPI to advise on publishing findings.
Researchers reported beneficial impacts of PPI. Most impact was reported when the approach to PPI included more indicators of good practice. The main cost of PPI for researchers was their time. Many reported difficulties providing information about PPI.
In partnership with PPI contributors, we have used these findings to develop:
a new Cost and Consequences Framework for PPI highlighting financial and non-financial costs, benefits and harms of PPI
Fifteen co-produced recommendations to improve the practice and delivery of PPI.
Background: To improve the lives of patients in primary care requires the involvement of service users in primary care research. We aimed to explore the extent, quality and impact of patient and public involvement (PPI) in primary care research.
Methods: We extracted information about PPI from grant applications, reports and an electronic survey of researchers of studies funded by the NIHR School for Primary Care Research (SPCR). We applied recognised quality indicators to assess the quality of PPI and assessed its impact on research.
Results: We examined 200 grant applications and reports of 181 projects. PPI was evident in the development of 47 (24%) grant applications. 113 (57%) grant applications included plans for PPI during the study, mostly in study design, oversight, and dissemination. PPI during projects was reported for 83 (46%) projects, including designing study materials and managing the research. We identified inconsistencies between planned and reported PPI. PPI varied by study design, health condition and study population.
Of 46 (24%) of 191 questionnaires completed, 15 reported PPI activity. Several projects showed best practice according to guidelines, in terms of having a PPI budget, supporting PPI contributors, and PPI informing recruitment issues. However few projects offered PPI contributors training, used PPI to develop information for participants about study progress, and had PPI in advising on dissemination.
Beneficial impacts of PPI in designing studies and writing participant information was frequently reported. Less impact was reported on developing funding applications, managing or carrying out the research. The main cost of PPI for researchers was their time. Many researchers found it difficult to provide information about PPI activities.
Our findings informed:
a new Cost and Consequences Framework for PPI in primary care research highlighting financial and non-financial costs, plus the benefits and harms of PPI
Fifteen co-produced recommendations to improve PPI in research and within the SPCR.
Conclusions: The extent, quality and impact of PPI in primary care research is inconsistent across research design and topics. Pockets of good practice were identified making a positive impact on research. The new Cost and Consequences Framework may help others assess the impact of PPI.
Actively involving patients and the public in research is seen as a marker of good research practice because it leads to research that is relevant, better designed, with clearer outcomes, and a faster uptake of new evidence . Now a requirement and priority of many research funding bodies, patient and public involvement (PPI) is promoted at all stages throughout the research cycle . The recent National Institute for Health Research (NIHR) Going the Extra Mile report highlighted the need to improve the quality and practice of PPI in health and social care research . In response to NIHR recommendations by the NIHR, INVOLVE has published their Values and principle’s Framework for best practice in PPI .
PPI has been documented in a number of research areas [5, 6]. Positive impacts are reported for all stages of research, including enhancing its quality and appropriateness, an increased understanding and insight of researchers into their research field, and the increased sense of self-worth, confidence and skills gained by PPI contributorsFootnote 1 as a result of their involvement [7, 8]. PPI has also been associated with success in achieving participant recruitment targets in studies, securing funding, designing study protocols and choosing relevant outcomes [9, 10]. Recent research has identified the characteristics of effective PPI  and the mechanisms required to sustain it .
In contrast, reported negative impacts are PPI contributors’ frustration with the lengthy process and lack of feedback, the extra time needed to complete research, time constraints of patients and researchers, and the increased financial costs . Moreover, PPI can be tokenistic due to negative attitudes of researchers and the requirements of research funders [10, 13]. Variation in the context of, and approaches to, PPI, combined with lack of validated tools to assess its quality, causes challenges to identify best practice of PPI and its impact [10, 14].
Though PPI in research is a clear priority for the government, the NIHR and other research organisations, there is growing, though limited, evidence relating to the costs (financial and non-financial) and consequences (benefits and harms) of PPI in research. This seems to be driven by the lack of and poor quality of reporting [7, 15, 16].
Our study is set in the context of primary care research. That is, research conducted within health services providing first-contact care for patients (e.g. general practices, district nursing, and community-based health services) . 90% of all NHS interactions occur in primary care , with the management of chronic illnesses a key component. Therefore it is important for research into primary care to be informed by the insights and perspectives of patients who receive these services.
However, little is known about the extent, quality and impact of PPI across the whole range of primary care research. To date, the small number of primary care studies reporting on PPI [19,20,21] are largely limited to a description of the PPI activities which have taken place. More recently, a case study of a primary care research centre reported how dedicated infrastructure and resourcing for PPI, flexible working practices, leadership, and secure funding has enabled the fostering of sustained long term PPI across all of its research [12, 22].
The literature in this area is limited and the benefits and costs of PPI for both researchers and the public is unclear. Our study therefore set out to gain a broader understanding of PPI in primary care research. Specific research questions were:
What is the extent of PPI in primary care research?
What is the quality of PPI in primary care research?
What is the impact of involvement on PPI contributors, researchers and research institutions involved?
What are the costs associated with PPI in health research?
The four research questions were addressed through use of surveys, analysis of relevant research documents and a workshop. Results from research questions three and four were analysed and structured as a cost-consequence framework, a largely qualitative way of summarising key costs (financial costs as well as negative impacts on individuals or institutions) and key benefits (financial savings and positive impacts). Cost-consequence analysis is typically used by economists when it is not feasible to conduct a standard economic evaluation. In this case, cost-consequence analysis was adopted due to a lack of available data and recording information about PPI to accurately quantify all monetary costs and the lack of an appropriate single metric for summarising non-monetary consequences.
The study used a mixed methods approach consisting of 1) analysis of documents relating to research projects such as grant applications, annual reports, final reports; 2) a survey of researchers and PPI contributors; and 3) a workshop with eleven PPI contributors and the research team to discuss the findings and co-produce recommendations. The analysis of project documents was used to provide evidence of the scope of PPI in primary care research. The surveys were used to provide evidence on the quality, experiences, and impact of PPI. The findings informed the recommendations workshop and development of the cost-consequences framework.
This study focused on research projects funded by and taking place within the NIHR School of Primary Care Research (SPCR) since its inception in 2008 to 2014. This included all projects funded on each of the SPCR’s annual funding rounds (FR1 to FR8). The SPCR is a partnership between the leading academic centres for primary care research in England. Through dedicated funding, its remit is to increase the evidence base for primary care practice through high quality research and strategic leadership.
Patient and public involvement in this study
The study embraced PPI throughout every stage of the research cycle, from developing the initial idea, designing the study and being lay co-applicants (AH, CR) on the grant application, through to working with the researchers to understand the findings and writing the recommendations. Full details of the involvement of the PPI contributors of our study team are published elsewhere ; however the contribution of our PPI contributors are embedded throughout this article.
Analysis of project documents
We requested all documentation relevant to all projects from the SPCR. This included grant applications, along with annual and final reports provided by grant holders to the SPCR. We also collected other documents containing data on PPI in projects from the SPCR and from researchers who had included PPI within their projects (e.g. posters presented at the annual SPCR Showcase event and articles).
Data from the documents were recorded using a data extraction form and compiled in an electronic spread sheet. The type of data extracted from each document is shown in Table 1. Two members of the research team (SB, SM) completed the data extraction. To examine the scope of PPI in primary care research, the data from the project documents were summarised using descriptive statistics. We examined the change in the extent of PPI activities over time, using each annual funding round as a proxy measure of time. Subgroup analyses were conducted to examine the frequency and type of PPI activity by study design, disease/condition (categorised using the Health Research Classification System ), study population, and the age profile of the study population. Descriptions and explanations relating to PPI were analysed qualitatively to provide further insight to the activities reported.
Researcher and PPI contributor surveys
A cross-sectional survey design was employed using self-completed questionnaires. The researcher and PPI contributor questionnaires were developed through a review of the literature and a search for existing questionnaire items on the costs and consequences of PPI. The contribution of our three PPI contributors to develop the questionnaires ensured that items reflected the range of costs and consequences experienced by PPI contributors. The questionnaires included items aligning with Boote et al.’s  quality indicators to enable the assessment of PPI activity against best practice (Table 2). Also, the questionnaire included items relating to the type of PPI activities and the perceived impact of these activities on the research study and the respondent. Most items included a free text box to allow the respondent to explain their answer or give further insights. The researcher and PPI contributor questionnaires are provided in Supplementary Files 1 and 2, respectively.
All Principal Investigators (lead researchers) of projects funded by the SPCR received an electronic survey via email for each project that they were leading or had led. Project details were provided by the SPCR. As the details of PPI contributors involved in SPCR projects were not available, an item was included in the researcher survey to determine Principal Investigators’ willingness to pass on a paper-based questionnaire to the public members involved in their projects. Our PPI contributors were consulted about this recruitment strategy. They felt that, while possibly not ideal, particularly as this relied on good record keeping of public members’ involvement, this approach was pragmatic and acceptable.
Descriptive statistics were calculated for all quantitative items in the survey: types of PPI activities, costs (financial and non-financial), and impacts. To examine the quality of PPI in primary care research, we compared PPI activity reported by Principal Investigators with Boote et al’s quality indicators of best practice . The analysis focused on how many projects met each quality indicator. Two of Boote et al’s  quality indicators related to the description and acknowledgement of PPI contributors’ involvement in publications. Therefore for the projects which the Principal Investigator in the survey reported PPI activities, we searched for related publications via the PubMed online search engine, using the Principal Investigator’s name and key words from project title as a search strategy. Retrieved publications were scrutinized for information relating to PPI.
To explore whether projects with higher quality PPI (as defined by achieving a higher number of indicators of good practice, using Boote et al’s Quality Indicators ) was associated with a higher level of perceived impact, a quality-impact index score was also calculated for each project. A Pearson correlation coefficient was calculated between the number of quality indicators met (the quality score) and the number of PPI activities where Principal Investigators reported a perceived positive impact (the impact score).
A cost and consequences framework of PPI in primary care research
Two researchers (PK, SJ) independently categorised survey items relating to the time spent on involvement activities and associated costs, impacts and related free text comments as either costs (financial and non-financial) and consequences (benefits and harms). An overall framework of all potential financial and non-financial costs and consequences of PPI was therefore constructed.
Following completion of the data analysis, public members who had been previously involved with the project (AH, CR) plus seven other members of a Research User Group at Keele attended a workshop with the research team to discuss key findings of the study. The aim was to co-develop recommendations to improve PPI practice within the SPCR.
Ethical approval was obtained from Keele University’s Research Ethics Committee (21st March 2014).
A total of 200 full project proposals, 233 annual reports and 39 final reports were provided by the SPCR for the documentary analysis. The annual and final reports provided data on 180 projects; reports for the remaining 20 projects were unavailable from the SPCR. However, for one project for which reports were not available to the research team, data on PPI were extracted from a poster presented at an SPCR Showcase Event. Therefore, the PPI activities reported in 181 projects were included in the analysis.
Researcher and PPI contributor survey
One hundred ninety-one questionnaires were emailed to Principal Investigators, of which 46 were completed and returned (response rate 24%). The Principal Investigators who responded to the survey were unable to pass on a survey to the PPI contributors involved in their projects, so we did not collect any data from PPI contributors at this stage. Of the 46 responses received from Principal Investigators, 15 (33%) reported PPI activity, most commonly in designing methods (8 out of 15) and developing participant information (7 out of 15).
Scope of PPI in primary care research
PPI during the development of grant applications
Of the 200 funded projects for which full grant applications were available, there was evidence of PPI in the development of the application for 47 (24%) projects. Just over half of the applications (113, 57%) provided evidence of plans to conduct PPI during the study. Table 3 provides a summary of these projects by research design and health conditions under study.
PPI during the projects
Of the 181 projects for which annual and/or final project reports were available (plus one project whose information on PPI was extracted from a SPCR poster), 69 (38%) projects had been completed, 108 (60%) were uncompleted and this data was missing for three projects.
For all 181 projects (completed and uncompleted), PPI activities was reported for 84 projects (46%), not reported in 74 projects (41%), and for 23 projects (13%) there was insufficient data available to determine whether PPI had taken place or not. Where PPI had not been reported in the project, a rationale for the absence of PPI was provided for 26 projects (14%).
In the case of the 108 uncompleted projects, PPI activities were planned for 36 projects (33% of uncompleted projects), there were no plans for PPI in 42 projects (39% of uncompleted projects), and there was insufficient information available to determine whether PPI was planned for the remaining 30 projects (18% of uncompleted projects). Where there were no plans for PPI, a rationale for this decision was provided for seven projects (7% of uncompleted projects).
Rationales provided for 26 projects (completed and uncompleted) which did not report on PPI were similar, referring mostly to the applicability and relevance of PPI for the project. They included “user involvement was integrated into the original main trial, in which this project is nested. No additional user involvement was needed for the purposes of this project”; “this has been a database study and as a result there has been no direct involvement of patients or the public in this work”; “being a straightforward questionnaire study, PPI input to the project has been minimal”; or simply “not applicable”.
Change in the scope of PPI over time
There was no clear trend for an increase in PPI in the development of grant applications or the reporting of PPI in annual/final reports over time, using the SPCR funding rounds as a proxy measure of time. However, there was a trend for an increase over time in the percentage of project proposals which provided details of plans for PPI for the delivery of the research (R2 = 0.62) (Fig. 1).
Budgeting for PPI
Of the 113 grant applications that included plans for PPI during the study, 57 (50%) made reference to a budget for this and 32 (28%) referred to rewards and/or recognition for those who would be involved. There were no references to a budget for PPI in any of the annual/final reports or posters obtained from the SPCR, and only one reference to rewards and recognition for those involved. However, the research team did not have access to the full costings for each project and it is therefore possible that this represents an underestimation of the number of projects for which PPI was budgeted.
The scope of PPI by study design
The extent of PPI varied across study design. Across both grant applications and project reports, PPI was relatively more common for mixed methods, qualitative and interventional trial designs study designs compared to other study types (Table 3). Relatively, PPI was most prevalent in the development of grant applications for projects with a cross sectional design (4 of 7 projects, 57%). Evidence of PPI was relatively least frequent in cohort (longitudinal and retrospective), methodological (study of research methods or development of data collection systems), systematic reviews and analysis of secondary data study designs.
When examining individual types of project documents, the data suggest a certain degree of inconsistency between planned and reported PPI. Plans for PPI within grant applications were relatively frequent for methodological and longitudinal cohort designs compared to other study types. However, reported PPI within annual/final reports was more common for cross sectional designs but less common for methodological design (as well as retrospective cohort and systematic reviews).
The scope of PPI by health condition
In terms of health condition researched, PPI in the development of grant applications and reported involvement during the study was relatively more common for projects focusing on cancer, renal and urogenital, reproductive health and childbirth (Table 3). PPI was most frequently planned for studies in the fields of neurology and other types of health conditions not listed in the Health Research Classification System  (labelled ‘Other’ in Table 3). However, evidence of PPI was relatively least frequent for studies on cardiovascular, metabolic and endocrine, stroke, infection and multimorbid (multiple, co-existing) health conditions.
The scope of PPI by study population and age
Though the study population of two-thirds of SPCR funded projects was patients only, projects focused on the general public, health care professionals only, and both patients and health care professionals, tended to have more PPI described in grant applications (both to develop the application and plans during the projects) (Table 3). Except for the carers category, reported PPI during the study ranged from 38% (3 out of 15 projects on healthcare staff) to 65% of projects (20 out of 37 projects on patients and health care professionals) within each population category. PPI was not reported in the annual and/or final reports of the single project involving carers.
Inconsistencies were noted again between planned and reported PPI during the study across population categories. For example, for general public or health care professional study populations, the relative proportion of projects reporting PPI activities during the study in their annual/final reports was 30% lower than the proportion of projects with plans for PPI described in the grant applications.
Projects focused on children tended to have less PPI described in proposals and annual/final reports compared to projects focusing on other age groups. For all other age groups PPI was similar: 20–36% in the development of grant applications; 56–64% in plans for PPI; 43–56% reported PPI during the study. However, for nearly half of all projects (93, 47%), the age group of the study population was unspecified or difficult to ascertain from the project documents.
The type of PPI
Of the 200 grant applications, PPI activities reported during the development of projects related to consulting with patients and members of the public and gaining their comments and feedback on plans for research (24 projects, 12%) and contributing to the grant application (20 projects, 10%). Advising on study methods, such as outcomes and recruitment methods, were specifically reported in 14 grant applications (7%). A range of planned PPI activities were outlined in the grant applications and reported in annual/final reports, relating to different stages of the research cycle (Fig. 2). Plans within grant applications for involvement in managing research through membership of a project steering committee or management group were most common (51 projects, 26%), followed by involvement in dissemination of project findings (41 projects, 21%). Designing study methods, analysing/interpreting data and designing study materials (such as questionnaires) were also frequently planned involvement activities. Planned PPI in conducting the research and recruiting participants were the lowest areas of activity.
However, the proportions of the PPI activities reported during the study were considerably lower than the planned activities described in grant applications. The most frequent activities reported during the project were designing study materials (33 projects, 18%), designing methods (25 projects, 14%) and managing the research (17 projects, 9%). To explore this inconsistency further, reports of PPI activities in project annual and/or final reports (either already conducted or plans to conduct for uncompleted projects) were compared with plans (and non-plans) for PPI outlined in their associated grant applications. This was done for 179 projects where both the grant application and annual and/or final reports were available (Fig. 3). Over a third of these 179 projects (65, 36%) reported the PPI activities as proposed in the grant applications, including 27 projects (15%) which had no plans to do PPI anyway.
However there was inconsistency for 70 projects (39%): 20 projects (11%) reported more PPI than originally planned; 50 projects (28%) reported less than originally planned (including 23 projects (13%) which did not do any of the PPI planned). Information on the discrepancies between planned and reported PPI activities was not available in the project documentation. In most cases where more PPI was reported that originally planned, the annual and/or final reports documented PPI activities that was not part of a project’s grant application. It is speculated that any additional PPI was conducted as the project evolved and new opportunities for involvement were created. For 64 projects (35%), the annual and/or final reports made either no reference to the PPI activities planned in the grant application, or made references to a few PPI activities only, but not all that were planned. It is possible that for some of the uncompleted projects, plans for future PPI activities outlined in the grant application but not yet done were not reported. For six projects (3%), however, it was explained in the reports that ‘[the] PPI member no longer want[ed] to be involved in the study’; there was less PPI than planned because ‘it was a highly technical study and utilised anonymous clinical data with no direct patient contact’; there has been “no real PPI in the project…and the PPI section is not applicable since the project involved a secondary analysis of a database with specific policy relevant questions”; and “not applicable” or “none” was provided in the PPI section of the final report (3 projects, 2%).
There was insufficient information to make a judgement on the consistency of planned versus reported PPI for 44 other projects (25%). In most of these, the nature of the PPI could not be determined due to the insufficient information about PPI provided in either the grant application or the annual and/or final reports.
Quality of PPI in primary care research
The quality of PPI was assessed using the data from the 15 Principal Investigators who responded to our survey and reported PPI in their project. Overall, there was variation in how best practice, according to the quality indicators reported by Boote et al. , was met across studies (Fig. 4). Best practice was more frequently achieved in terms of offering PPI contributors personal and technical support (13 out of 15 projects, 87%); involving PPI contributors in advising on recruitment issues (11 out of 15 projects, 73%) and having a specific budget for PPI (9 out of 15 projects, 60%). Fewer studies met best practice for PPI in terms of PPI contributors advising on informing participants about study progress (1 out of 15 projects, 7%); advising on dissemination methods (1 out of 15 projects, 7%) or having to access to training (3 out of 15 projects, 20%). We could not provide evidence towards the endorsement of the quality indicators: ‘PPI training needs are agreed’ (this was to be captured via the patient survey) and ‘Distribution of research findings to relevant patient groups was in appropriate formats and easily understandable language’.
The impact of PPI from the researcher’s perspective
Principal Investigators most commonly reported impact for study processes with the most PPI activity (i.e. designing methods and developing participant information). Perceived impact of PPI on the research process and individual Principal Investigators was largely positive and included benefits such as improving the clarity of information, increased recruitment and follow-up rates, validation of findings and more useful outputs for clinicians and patients. The only negative impact reported was the view that a more homogenous study sample may have been recruited, since the young PPI contributors encouraged their friends to participate in a study on reproductive health in young people. Despite reported PPI activity in developing the grant application (3 out of 15, 20%), managing the research (3 out of 15, 20%), and conducting the research (2 out of 15, 13%), Principal Investigators reported minimal perceived impact in these areas.
No Principal Investigators reported a negative impact of PPI on them personally but most (10 out of 15, 67%) believed that it had little impact on the reputation of their institution. However, most researchers (13 out of 15, 87%) reported that they would engage with PPI in their research again, regardless of whether or not it was a requirement set down by funders. From the free text responses in the questionnaire, some researchers expressed a positive impact of PPI:
“Very helpful in helping me gain a better understanding of the issues involved with [disease]” (PI119)
“Feedback from patient representatives raised some key concerns which were important to address in our branding and overall presentation from the outset” (PI116)
“[PPI] provide a reality check on patient benefit of research, broaden perspectives and focus on the lived experience” (PI89)
A few principal investigators offered some alternative experiences and less positive viewpoints of PPI in research:
“Sometimes patients are really helpful and give good ideas and have good contacts. I am sorry to be cynical but it is also a requirement for funders so you HAVE to do it” (PI70)
“Young people can be unreliable – it’s sometimes difficult to know whether they will turn up or not, and to plan accordingly.” (PI90)
While the respondent in the above quote has commented on young people, it should be noted, however, that this is not generalizable of all young PPI contributors. The participation of all PPI contributors can be impacted by many factors, such as availability on scheduled meeting dates, changes in health status and other commitments.
Quality-impact index scores
Figure 5 shows the Quality-Impact Index scores based on the Principle Investigators’ responses relating to the quality and impact of PPI activities for the 15 projects included in the research survey. There was a moderate positive correlation between the Quality Score (number of quality indicators met by a project) and Impact Score (number of PPI activities in which the PI reported a perceived impact) (Pearson correlation coefficient, r = .50, p = .056). Though statistically insignificant, this results suggests a greater perceived impact of PPI activity for projects where a higher number of quality indicators for PPI were met.
The financial costs of PPI
The most significant cost from a researcher perspective appeared to be the researcher’s time. However, researchers reported a variable numbers of hours related to PPI, ranging from 0 to 30 h as a total across all activities.
Half of Principal Investigators (8 out of 15, 53%) reported that they ‘Always’ or ‘Sometimes’ offered some form of payment to PPI contributors and a third (5 out of 15, 30%) reimbursed expenses. Principal Investigators reported that public members received payment for attending meetings (6 out of 15, 40%), reviewing documents in their own time (2 out of 15, 13%) and attending events (1 out of 15, 7%). Payment for other activities (e.g. conducting the research, responding to letters and emails from researchers) was not reported. Travel costs (e.g. car mileage, public transport, parking) and food and drink were the only expenses reimbursed.
However, few studies were able to confirm the actual financial costs associated with PPI. A third of the respondents reported difficulty in providing general information about PPI in their project(s) (5 out of 15, 30%) and almost half (7 out of 15, 47%) found it difficult to give information relating to the costs of PPI. Free text responses indicated that the researchers did not keep records of the costs associated with PPI activity in their projects. Due to the overall lack of systematic recording of resourcing PPI activity and the time lag for some of the older projects in the sample, the responses of the Principal Investigators on the costs and time commitment of PPI are likely to be underestimated.
A new cost and consequences framework of PPI in research
Table 4 presents a framework of the individual costs and consequences for both the research/researcher and patient. Responses from the researcher survey provided information for the costs and consequences framework under sub-headings of researcher, research project, research institution and funder. As no responses were received for the patient survey, costs and consequences identified from the literature are included in the framework.
Following the data analysis by the research team, public members who had been previously involved with the project plus other members of a Research User Group at Keele attended a workshop. The aim was to co-produce recommendations to improve PPI practice within the SPCR. Three PPI contributors of the study, eight other members of the Research User Group at Keele and the research team came together to discuss as a group the key findings of the study and consider recommendations to address the findings, build upon existing good practice and improve PPI in research. During the workshop consensus was achieved on the general content of the recommendations. Following the workshop, the research team mapped the recommendations to those in the NIHR ‘Going the Extra Mile’ report , INVOLVE’s ‘Values and Principles Framework’  and the SPCR strategy for PPI . To ensure consistency with these national priorities and directions, the research team refined the final wording of our recommendations, which were reviewed and agreed upon by our PPI contributors (Table 5).
This is the first study to systematically investigate the quality and impact of PPI across a wide cohort of primary care research studies. Furthermore, we have applied recognised quality indicators to assess the quality of PPI and linked the level of quality with its perceived impact on the research process. We have also identified and developed a framework of the costs (financial and non-financial) and consequences of PPI in primary care research. This should enable others to assess the impact of different approaches to PPI on key research outcomes and the people involved.
Previous studies have tended to focus on scope and impact, i.e. what PPI has taken place and how this may or may not have made a difference to the research process. However, knowing the quality of PPI (or how well it has been undertaken) is just as essential. New Standards for Public Involvement are expected in 2018 . INVOLVE have published resources on good practice and approaches to PPI, including a Values and Principles Framework . There are a few appraisal guidelines and frameworks for assessing the quality of PPI [25, 28], including a recently published framework designed to help researchers to recognise the ethical issues when involving the public during the design of research studies . In particular, Boote et al.  produced eight principles of successful PPI in NHS research, with each principle having at least one clear and valid indicator (or measure) of good practice (Table 2). Furthermore, the GRIPP2 (Guidance for Reporting Involvement of Patients and Public) checklist has been developed to enhance the quality of PPI reporting . Nevertheless, we are not aware of any studies that have formally evaluated the quality of PPI in research.
Our study has shown that PPI has not been routinely undertaken across SPCR-funded research studies. While some have included PPI at different stages of research, most projects have not in either developing the grant application, and/or whilst conducting the research, or both. This does not seem to have improved over time, despite becoming a requirement of funding. PPI was reported most frequently in the management of studies (e.g. steering group membership), and designing study materials (e.g. questionnaires) and methods (e.g. recruitment strategy, intervention design), but less frequently for other aspects of the research process (e.g. developing and reviewing participant information leaflets, commenting on the study protocol, conducting the research, developing future research areas). Similar studies on the extent and type of PPI have reported similar findings [5, 6]. Furthermore, the extent of PPI in primary care research was inconsistent across research design, with PPI seemingly less prevalent in study designs where there was less direct contact with patient/participants during the study. The wide variability of PPI across health research topics identified in this study is difficult to interpret or provide reasons for but our findings suggest that the level of PPI in the research of some health conditions is markedly lower. These findings indicate that greater awareness of the value of PPI throughout the research cycle, across research designs and in different health conditions is required.
The quality of PPI reported by Principal Investigators did not always meet guidelines for best practice. Though there were a few projects which conducted good quality PPI, findings from our researcher survey highlighted particular areas where best practice was not being followed. For example, in a number of projects PPI contributors were not offered payment for their time or reimbursement of expenses; and few projects documented the role of PPI contributors or engaged with them regarding the dissemination of research findings. We assessed quality in terms of meeting indicators of good practice. While, we were not able to identify specific examples of poor practice in either the analysis of project documents or the researcher survey, we did find that researchers spent variable amounts of time on PPI activities during a study (ranging 0 to 30 h). This suggests that those who spent fewer or minimal hours on PPI may not have taken sufficient time to have meaningfully engaged with the public.
Furthermore, whilst we acknowledge that not all of Boote et al.’s quality indicators may be relevant for all study types (e.g. obtaining advice from PPI contributors on recruitment issues may not be relevant for studies where there is no participant recruitment, such as systematic reviews or some cohort studies) they provide a benchmark of quality that ought to be achieved if a study involved members of the public. This study was conducted before INVOLVE’s Values and Principles Framework was published . However, most of Boote et al. quality indicators are incorporated in some form or another within this new framework and the soon to be launched Standards for Public Involvement  . Yet it is too early at this stage to tell how INVOLVE’s Values and Principles Framework will be used in practice and/or how well the National Standards for Public Involvement might be used to assess and improve the quality of PPI. Nevertheless, future studies should consider how the National Standards for Public Involvement, GRIPP2 reporting checklist and other PPI resources and tools complement each other, in the context of the costs and consequences of PPI highlighted in this study. This should help drive forward improvements in this field in a coherent and consistent way. For example the financial and non-financial costs of PPI highlighted in this study should be considered when using INVOLVE’s Budgeting for Involvement Cost Calculator.
Our survey highlighted that researchers found it difficult to provide information on PPI and its costs. We have also shown that it is difficult to contact public members who have been involved in research, as researchers were unable to pass the PPI contributor survey to those involved in their research. Reasons for are not entirely clear and we are not aware of similar findings in the literature. Some researchers reported that they did not have this information. So it is possible that the researchers and/or their organisations did not systematically and routinely keep records of PPI activity (or at least were not able to readily access these records at the time of completing the survey). This could be due, in part, to a possible lack of administrative support in some organisations.
A key finding of this study was the inconsistency between the plans to conduct PPI during a study and the reported delivery of that activity. The fact that PPI activities were often different to those described in research proposals - and sometimes planned PPI was not conducted at all - is problematic. Mathie et al. also reported a lack of documentation providing evidence of monitoring or how the PPI strategy within a study may have changed as the research develops . This suggests a need for research funders to keep a check on PPI activity within research projects and to help researchers to make realistic plans for PPI at the outset.
This study complements the results of similar studies:
There is limited amount of available information about PPI in publicly accessible research documents 
The limitations to this study include:
A low response rate to the researcher survey (24%). While this is in line with similar studies , the length of questionnaire and the approximate 45 min completion time may have been a barrier to participation. Nevertheless, the level of detail was necessary to obtain a comprehensive understanding of PPI in primary care research. Secondly, some researchers commented that it was difficult to recall details of the PPI in studies that may have begun as early as 2008.
Although it is not unreasonable to suggest that the direct costs of PPI (e.g. payment to individuals, reimbursement of expenses, room hire, etc.) could and should be recorded, it is likely that financial systems differ across universities, and there may also be problems, particularly in terms of workload, obtaining access to that level of detail once a project has been completed.
Data from the documentary analysis was inconsistent due to changes in the SPCR application and reporting forms over the funding rounds. Nevertheless, many of the annual/final reports contained very little information, and were incomplete or ambiguous. This highlights a problem with recording and reporting of PPI activity. This made extracting data difficult and the research team sometimes made a judgement by consensus as to the meaning of the information.
We were not able to conduct the PPI contributor survey as we experienced difficulties with accessing PPI contributors to invite them to participate. As the contact details of PPI contributors involved with SPCR work were not available, we decided to ask Principal Investigators to pass the survey to PPI contributors who had been involved in their projects. Unfortunately, all Principal Investigators who responded to the survey were unable (due to lack of recorded contact information) to pass on the postal survey to PPI contributors. This meant that we were unable to gather data on the costs and consequences of involvement from PPI contributors. However, members of the Research User Group at Keele were involved in the analysis of the data and the development of recommendations to ensure some representation of the patient and public perspective.
We originally planned to observe PPI in research studies. In the final section of the survey, Principal Investigators were asked to indicate whether they had any forthcoming meetings with PPI planned, and if so whether they were happy for two researchers to observe the meeting. Unfortunately, most respondents did not have any meetings with PPI planned, and one respondent was not willing for us to observe their meeting.
Role of PPI in the study
Public members have played a fundamental role in shaping the project, from the initial development of the research idea to the dissemination and implementation of findings. The role of PPI has been described and embedded through this article. In addition to the activity already described, there has also been involvement in the dissemination of early project findings with a PPI contributor co-presenting with a researcher at the INVOLVE Conference 2014. Two lay co-applicants were invited to comment on and contribute to the plain English summary of this article and the final project report to the SPCR. They also commented on their experience of the research study and their views of its findings (Table 6).
While this study was funded by the SPCR, we did not include it as part of the analysis of documentation and surveys in order to remain independent. However, we worked with our PPI contributors (AH, CR) to conduct our own self-assessment of the quality of PPI in this study against Boote et al.’s quality indicators  as a separate exercise (Additional file 1). We achieved 10 out of the 11 quality indicators. This suggests the PPI in this study was of high quality. The single indicator not achieved was PPI in advising on informing participants about study progress. This might have been achieved if the survey of PPI contributors had been completed.
Furthermore, to highlight the benefits and challenges of PPI experienced, we produced our own Cost and Consequences Framework for this study (see Additional file 2). This provides an example of the use of the Cost and Consequences Framework in practice. We have included relevant items about the PPI activity that we experienced during the course of this study. We have not included items relating to ‘researchers gaining a better understanding of the condition of interest’ as this was not a study of a particular health condition. The exercise has identified areas that we need to be aware of and improve on in future studies involving PPI contributors (e.g. ensuring all PPI activities are fully costed and budgeted), and many benefits of PPI that need to be reported and shared (e.g. PPI as a motivating factor, with PPI contributors bringing an enthusiasm to the project, and a keenness to see results).
Future impact of this study
The results of this study have provided a detailed account of PPI within primary care research and have shown the variability of PPI in projects to date. In particular, findings have highlighted areas for improvement in PPI. This has led to the development of recommendations for good PPI practice, in collaboration with members of a Research User Group, to ensure that the patient perspective is represented. Implementation of these recommendations, which complement the NIHR ‘Going the Extra Mile’ report , INVOLVE’s ‘Values and Principles Framework’ , Standards for Public Involvement  and the NIHR School for Primary Care Research (SPCR) PPI Strategy , will ensure that PPI activities meet quality indicators and that standardised records of PPI activities are kept to facilitate the evaluation of impact. The new Costs and Consequences Framework considers many potential benefits, harms and costs (financial and non-financial) of PPI which will help others assess the wider impacts of PPI. Further, the surveys developed within the project can be used by the SPCR and others to collect detailed data on the costs and consequences of PPI in future projects and also alter grant application forms and project reports to improve reporting of PPI activities.
PPI in primary care research is inconsistent in terms of its extent, nature and quality across research design and topics. There is scope for improvement in terms of:
establishing the costs and consequences for researchers and PPI contributors of involvement in research
recording and reporting the contribution and impact of PPI
promoting and implementing best practice, and PPI.
This study did identify pockets of good practice and this tended to be reported as making a positive impact on researchers and research studies. We were unable to access PPI contributors to obtain their views and experiences. Nevertheless, the public perspective, through PPI involvement in our study, was instrumental in interpreting the findings and co-producing recommendations to improve PPI in primary care research. The findings of this study have informed a cost and consequences framework which may help others assess the impact of PPI.
We have used the term ‘PPI contributors’ to collectively describe members of the public actively involved in research projects, including patients, members of the public, service users and carers.
National Health Service
National Institute for Health Research
Patient and public involvement
School for Primary Care Research
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The authors would especially like to thank the following members of the Keele’s Research User Group (Christine Walker, Val Longmore, Robert Taylor, Stephen Dent, John Maddison, Alan Sutton, Vanda Hulse, Jo Bird, Stephen Dent, May Griffiths, Anthony Shuter) for valuable contributions throughout this study. We are also thankful to Carol Rhodes and Adele Higginbottom for their time and effort supporting and working with the RUG. We would also like to thank the NIHR School for Primary Care Research for facilitating access to project documentation.
This paper presents independent research funded by the National Institute for Health Research School for Primary Care Research (NIHR SPCR). The views expressed are those of the author(s) and not necessarily those of the NIHR, the NHS or the Department of Health. We are grateful to the Primary Care Research Consortium Board and Arthritis Research UK for their support of the Research User Group (RUG). Time for CJ was part funded by the National Institute for Health Research (NIHR) Collaborations for Leadership in Applied Health Research and Care West Midlands.
Availability of data and materials
The datasets used and/or analysed during the current study are available in an anonymous format from the corresponding author on reasonable request. The questionnaires used in the survey are available in Additional files 3 and 4.
Ethics approval and consent to participate
Ethical approval was obtained from Keele University’s Research Ethics Committee (21st March 2014). Respondents to the survey were informed that a return of a completed questionnaire implied informed consent to participate in the study and share anonymous information publicly.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Self-assessment of the Cost and Consequences study’s performance against the Boote et al.’s PPI Quality Indicators . (DOCX 16 kb)
Costs and Consequences Framework for the Costs and Consequences project. (DOCX 18 kb)
Principal Investigator questionnaire: Patient and Public Involvement in your research project. (DOCX 114 kb)
Public Contributor questionnaire: the Costs and Effects of Patient and Public Involvement (PPI) in Primary Care Research. (DOCX 110 kb)
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Blackburn, S., McLachlan, S., Jowett, S. et al. The extent, quality and impact of patient and public involvement in primary care research: a mixed methods study. Res Involv Engagem 4, 16 (2018). https://doi.org/10.1186/s40900-018-0100-8