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Service user involvement and
 study success
     An analysis of the MHRN portfolio
database
        Liam Ennis and Professor Til Wykes
Background
   Many funders now require service
    user involvement (or justification why
    not)

   MHRN directive = assisting
    involvement
Involvement – what
   “When we talk about service user
    involvement, we mean the active involvement of
    service users, not their passive involvement as
    recipients of services or information. Involving is
    often described as doing
    things with or by people, rather
    than for or to them.

    ‘Involvement’ covers a range of activities, from
    consulting service users abut their views or
    wishes, through to working in partnership with them
    to develop projects or services, right up to service
    users leading projects, services or organisations”
     (Taken from TwoCan Associates)
Involvement – why
   Ensuring that research questions are
    those that are valued by service users

   Enhancing translational value of
    research

   Improving quality and feasibility
Involvement – where
e.g.

 Setting research priorities (Rose et
  al, 2008; Thornicroft et al, 2002)
 Choosing/generating outcomes
  (Crawford et al, 2011; Evans et al, 2012)
 Alternative methodologies (Rose et
  al, 2011)


   BUT no studies investigate whether
    there are benefits to the study itself
The present study
   Aims to establish whether:

    1) Service user involvement has increased
       over time
    2) Particular factors are associated with
       involvement
    3) Service user involvement is associated
       with recruitment success
Data source
 MHRN portfolio database
 Contains all adopted studies since
  2004
 N = 374
Measures
 Level of service user involvement:
1. Consultation
2. Researcher-initiated collaboration
3. Jointly/service-user initiated
   collaboration, or user-controlled
   studies
Measures
 Study complexity
 Primary CSG
 Funding body
    ◦ NIHR/MRC/Charity/International/Government
   Study characteristics
    ◦ Randomised/Intervention/Follow up
   Adoption order
Outcomes
   Levels of servicer user involvement

   Successful recruitment (>90% -
    nationally set target by NIHR)
Statistical analysis
   Change in service user involvement over
    time was assessed by correlating adoption
    order with level of service user involvement
    using Pearson’s product moment

   Predictors of levels of service user
    involvement were explored using
    multinomial logistic regression

   Associations with participant recruitment
    were explored using binary logistic regression
    (N = 135)
Results
   Service user involvement was
    modestly correlated with adoption
    order, r = ·12, p <· 05 showing that
    involvement has increased over time.
Predictor                         Wald's chi-square    p      odds ratio
CSG
  Psychotic disorders                   0·66           ·42       0·68
  Mood disorders                        1·69           ·19       0·46
  Other common mental disorders         3·46           ·06       0·29


  Developmental disorders               6·31          ·012*      0·06
  Personality disorders                 5·82          ·016*      0·17
  Social interventions                  5·14          ·023*      0·14
Funder
  NIHR                                  5·97          ·015*     4·45
  MRC                                   0·18           ·67       0·72
  Government                            0·001          ·97       1·03
  Charities/not for profit              1·64           ·20       3·03
Consultation


                                                        Researcher
  70                                                    Initiated

  60                                                    Jointly/Patient-
                                                        initiated/Patient
                                                        controlled
  50

% 40

  30
                                                             Mean
  20                                                         proportion
                                                             in highest
  10                                                         category

   0
       NIHR   MRC   Government Charities/not International
                      Funder    for profit
Predictor                       Wald’s chi-square    p      odds ratio


              Results
Non-follow up                         5·94          ·015*     0·23


Complexity                            6·55          ·010*     0·83


Involvement


  Researcher initiated                1·41          ·236      1·63




  Jointly initiated or higher         4·58          ·032*     4·12
Interpretation: context
 Important to emphasise associations,
  not causality
 Therefore only provides directions for
  future research
 Need more variables to delineate this
  relationship
Why might the association
exist?
 Language in information sheets etc
 Least-burdensome design of research
 Intrinsic appeal of service user
  involvement
Limitations
 Unmeasured factors, e.g. researcher
  commitment
 Detail of categories of involvement
 Are researchers involving users as
  they set out to?
Future directions
 More research…
 MHRN adoption forms could help
  delineate the relationship by
  requesting more detail & being more
  specific about the information required

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Mhrn liam ennis

  • 1. Service user involvement and study success An analysis of the MHRN portfolio database Liam Ennis and Professor Til Wykes
  • 2. Background  Many funders now require service user involvement (or justification why not)  MHRN directive = assisting involvement
  • 3. Involvement – what  “When we talk about service user involvement, we mean the active involvement of service users, not their passive involvement as recipients of services or information. Involving is often described as doing things with or by people, rather than for or to them. ‘Involvement’ covers a range of activities, from consulting service users abut their views or wishes, through to working in partnership with them to develop projects or services, right up to service users leading projects, services or organisations” (Taken from TwoCan Associates)
  • 4. Involvement – why  Ensuring that research questions are those that are valued by service users  Enhancing translational value of research  Improving quality and feasibility
  • 5. Involvement – where e.g.  Setting research priorities (Rose et al, 2008; Thornicroft et al, 2002)  Choosing/generating outcomes (Crawford et al, 2011; Evans et al, 2012)  Alternative methodologies (Rose et al, 2011)  BUT no studies investigate whether there are benefits to the study itself
  • 6. The present study  Aims to establish whether: 1) Service user involvement has increased over time 2) Particular factors are associated with involvement 3) Service user involvement is associated with recruitment success
  • 7. Data source  MHRN portfolio database  Contains all adopted studies since 2004  N = 374
  • 8. Measures  Level of service user involvement: 1. Consultation 2. Researcher-initiated collaboration 3. Jointly/service-user initiated collaboration, or user-controlled studies
  • 9. Measures  Study complexity  Primary CSG  Funding body ◦ NIHR/MRC/Charity/International/Government  Study characteristics ◦ Randomised/Intervention/Follow up  Adoption order
  • 10. Outcomes  Levels of servicer user involvement  Successful recruitment (>90% - nationally set target by NIHR)
  • 11. Statistical analysis  Change in service user involvement over time was assessed by correlating adoption order with level of service user involvement using Pearson’s product moment  Predictors of levels of service user involvement were explored using multinomial logistic regression  Associations with participant recruitment were explored using binary logistic regression (N = 135)
  • 12. Results  Service user involvement was modestly correlated with adoption order, r = ·12, p <· 05 showing that involvement has increased over time.
  • 13. Predictor Wald's chi-square p odds ratio CSG Psychotic disorders 0·66 ·42 0·68 Mood disorders 1·69 ·19 0·46 Other common mental disorders 3·46 ·06 0·29 Developmental disorders 6·31 ·012* 0·06 Personality disorders 5·82 ·016* 0·17 Social interventions 5·14 ·023* 0·14 Funder NIHR 5·97 ·015* 4·45 MRC 0·18 ·67 0·72 Government 0·001 ·97 1·03 Charities/not for profit 1·64 ·20 3·03
  • 14. Consultation Researcher 70 Initiated 60 Jointly/Patient- initiated/Patient controlled 50 % 40 30 Mean 20 proportion in highest 10 category 0 NIHR MRC Government Charities/not International Funder for profit
  • 15. Predictor Wald’s chi-square p odds ratio Results Non-follow up 5·94 ·015* 0·23 Complexity 6·55 ·010* 0·83 Involvement Researcher initiated 1·41 ·236 1·63 Jointly initiated or higher 4·58 ·032* 4·12
  • 16. Interpretation: context  Important to emphasise associations, not causality  Therefore only provides directions for future research  Need more variables to delineate this relationship
  • 17. Why might the association exist?  Language in information sheets etc  Least-burdensome design of research  Intrinsic appeal of service user involvement
  • 18. Limitations  Unmeasured factors, e.g. researcher commitment  Detail of categories of involvement  Are researchers involving users as they set out to?
  • 19. Future directions  More research…  MHRN adoption forms could help delineate the relationship by requesting more detail & being more specific about the information required