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Research ArticleOriginal ResearchA

Effectiveness of Community-Links Practitioners in Areas of High Socioeconomic Deprivation

Stewart W. Mercer, Bridie Fitzpatrick, Lesley Grant, Nai Rui Chng, Alex McConnachie, Andisheh Bakhshi, Greg James-Rae, Catherine A. O’Donnell and Sally Wyke
The Annals of Family Medicine November 2019, 17 (6) 518-525; DOI: https://doi.org/10.1370/afm.2429
Stewart W. Mercer
1Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
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  • For correspondence: Stewart.Mercer@ed.ac.uk
Bridie Fitzpatrick
2Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
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Lesley Grant
2Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
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Nai Rui Chng
3College of Social Sciences, University of Glasgow, Glasgow, United Kingdom
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Alex McConnachie
4Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
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Andisheh Bakhshi
4Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
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Greg James-Rae
4Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
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Catherine A. O’Donnell
2Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
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Sally Wyke
3College of Social Sciences, University of Glasgow, Glasgow, United Kingdom
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    Figure 1

    Relationship between number of times seen by CLP and patient contact with suggested community resource.

    CLP = community-links practitioner.

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    Figure 2

    Effect sizes of frequency of seeing a community-links practitioner on patient outcomes.

    CLP = community-links practitioner; EQ-5D-5L = a standardized measure of self-reported health-related quality of life that assesses 5 dimensions at 5 levels of severity; HADS-A = Hospital Anxiety and Depression Scale, Anxiety; HADS-D = Hospital Anxiety and Depression Scale, Depression.

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    Table 1

    Description of the Glasgow Deep End Links Worker Program Using the TIDieR Framework12

    NameThe Glasgow Deep End Links Worker Program
    PurposeThe development of the Glasgow Deep End LWP drew on the theory of community-oriented primary care13 and was based on a report by GPs working in the Deep End.14 Patients attending general practices in deprived areas commonly have multiple problems, many of which are not amenable to medical intervention.
    Community organizations offer a wide range of resources, but people in deprived areas with multiple health and social problems can find it hard to access them. Closer links between general practices and community organizations, and support to access to available community resources, could mitigate the effects of deprivation.
    Links between general practices and community organizations could be enhanced by adding a nonmedical CLP to the practice team. CLPs would operate from the general practice, forge relationships between general practices and community organizations, and support patients to access the nonmedical services and support on offer. CLPs would act as a catalyst to hope and self-determination, using the strong relationships with patients that exist in general practice. If patients with complex needs feel supported, they would be more likely to respond to information on ways to improve their health.
    ResourcesA practice-attached CLP with a previous working background in community development. The CLPs all had previous experience of working with individuals and community organizations and had skills in identifying assets, needs, opportunities, rights, and responsibilities. Management support for the program was provided by the CLPs’ employing organization, the Scottish Alliance for Health and Social Care (Scotland). Support included (1) an experienced program director, overseeing all aspects of the program including the production of detailed records of learninga; (2) a community links manager, with experience in community development and staff management, responsible for establishing protocols and polices for CLP work and line managing the CLPs; (3) a learning and evaluation officer, responsible for establishing local protocols for program monitoring (independent of the evaluation conducted by the research team); (4) administrative staff; and (5) a clinical lead.
    A practice development fund (GBP £35,000) to spend on activities to help each practice develop the new LWP approach. The fund was used mainly to “buy time” away from clinical care to focus on the LWP.
    The A Local Information System for Scotland (ALISS) website,b which allows individuals and community organizations to make real-time lists of sources of support searchable by locality.
    ProceduresCLPs made links between practices and community organizations in the local area (eg, walking groups, debt management support, welfare rights, drug and alcohol management support, lunch clubs, befriending schemes, crafting clubs, bereavement support).
    Practice staff used time away from clinical care to set up systems and learn more about services and support available in community organizations.
    Each practice devised its own system for GPs and PNs to identify and refer patients who would benefit from help from a CLP who would link them to community-based resources. The system was devised jointly by clinical staff and CLPs and was customized for each practice. The choice of which patients to refer to the CLP was left open by practices but was based mainly on the presence of social problems that exacerbated long-term health problems.
    CLPs met patients. CLPs elicited patients’ main needs and worked flexibly, making links with community organizations for patients and, if necessary, supporting patients to attend the organizations’ services. Services depended on patients’ needs, their enthusiasm to engage, and the availability of local services accessible to patients.
    CLPs met together weekly with a manager to share and discuss experiences and problem solve collectively.
    ProvidersGPs and PNs referred patients who might benefit to CLPs.
    CLPs saw patients and provided support to link patients to existing community organizations.
    HowAll contacts were one-to-one and usually face-to-face, although some telephone contacts could occur.
    WhereCLP contacts with patients were usually in the practice, although some home visits could occur, and the CLPs could accompany patients to support their contact with a community organization.
    When and how muchCLPs and patients could meet as many times, and when, they thought necessary.
    TailoringThe intervention was very flexible and dependent on patient needs, patient wants, and professionals’ judgments as to what help was needed.
    ModificationsThe intervention was not modified during the research.
    How wellGiven the flexibility of the intervention, we did not assess fidelity.
    • CLP = community-links practitioner; GBP = Great Britain pound sterling; GP = general practitioner; LWP = Links Worker Programme; PN = practice nurse; TIDieR = Template for Intervention, Description, and Replication.

    • ↵a https://www.alliance-scotland.org.uk/blog/resources/links-worker-programme-record-of-learning-series-1/.

    • ↵b https://www.aliss.org.

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    Table 2

    Patient Characteristics at Baseline

    CharacteristicInterventionComparisonP Value
    Age, y49 (16)56 (15)<.001
    Female, %59.261.1.61
    Deprived,a %79.358.1<.001
    Employed, %24.148.7<.001
    Lives alone, %67.545.9<.001
    Current smoker, %45.220.4<.001
    Never exercises, %58.031.0<.001
    Multimorbidity,b %3.1 (2.1)2.3 (1.8)<.001
    Social problems,c %3.9 (2.5)1.8 (2.1)<.001
    EQ-5D-5L0.382 (0.337)0.683 (0.300)<.001
    ICECAP-A0.563 (0.228)0.812 (0.212)<.001
    WASAS22.3 (12.2)9.4 (11.4)<.001
    HADS-A >10,d %71.729.0<.001
    HADS-D >10,e %57.519.0<.001
    • EQ-5D-5L = a standardized measure of self-reported health-related quality of life that assesses 5 dimensions at 5 levels of severity; HADS = Hospital Anxiety and Depression Scale; HADS-A = Hospital Anxiety and Depression Scale, Anxiety; HADS-D = Hospital Anxiety and Depression Scale, Depression; ICECAP-A = Investigating Choice Experiments for the Preferences of Older People Capability Measure for Adults; WASAS = Work and Social Adjustment Scale.

    • Note: Characteristics are either shown as mean (standard deviation) or percentages.

    • ↵a Those in the top quintile of deprivation for Scotland as measured by the Scottish Index of Multiple Deprivation.

    • ↵b The count of self-reported chronic conditions.

    • ↵c The count of self-reported social problems.

    • ↵d The HADS percentage scoring above 10 (likely case-ness) for anxiety.

    • ↵e The HADS percentage scoring above 10 (likely case-ness) for depression symptoms.

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    Table 3

    Effect of Referral to a Community-Links Practitioner on Patient Outcomes

    Outcome MeasureIntervention Group vs Comparison Group
    Adjusted Effect Estimate (95% CI)P Value
    EQ-5D-5L0.008 (−0.028 to 0.045).648
    ICECAP-A−0.011 (−0.039 to 0.016).411
    WASAS0.05 (−1.37 to 1.48).940
    HADS-A−0.41 (−0.99 to 0.18).172
    HADS-D0.09 (−0.49 to 0.68).753
    Exercise0.12 (−0.06 to 0.3).183
    • EQ-5D-5L = a standardized measure of self-reported health-related quality of life that assesses 5 dimensions at 5 levels of severity; HADS-A = Hospital Anxiety and Depression Scale, Anxiety; HADS-D = Hospital Anxiety and Depression Scale, Depression; ICECAP-A = Investigating Choice Experiments for the Preferences of Older People Capability Measure for Adults; SIMD = Scottish Index of Multiple Deprivation; WASAS = Work and Social Adjustment Scale.

    • Note: Intention-to-treat analysis. Mixed effects regression models at follow-up in relation to intervention group. Effect estimates represent mean differences. Each model adjusts for age, sex, SIMD, comorbidity, and significant baseline outcome measures as covariates and includes practice identifier as a random effects term.

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    Table 4

    Effect of Seeing a Community-Links Practitioner on Patient Outcomes

    Outcome MeasureIntervention Group vs Comparison Group
    CLP VariableAdjusted Effect Estimate (95% CI)P Value
    EQ-5D-5LSaw CLP once0.009 (−0.047 to 0.065).755
    Saw CLP twice−0.041 (−0.117 to 0.036).298
    Saw CLP 3+0.071 (0.016 to 0.126).011
    ICECAP-ASaw CLP once0.004 (−0.038 to 0.046).841
    Saw CLP twice−0.002 (−0.056 to 0.052).938
    Saw CLP 3+0.002 (−0.038 to 0.042).909
    WASASSaw CLP once−1.097 (−3.361 to 1.168).342
    Saw CLP twice1.146 (−1.766 to 4.058).441
    Saw CLP 3+−0.795 (−3.042 to 1.452).488
    HADS-ASaw CLP once−0.768 (−1.815 to 0.278).150
    Saw CLP twice0.064 (−1.194 to 1.322).920
    Saw CLP 3+−1.380 (−2.339 to -0.421).005
    HADS-DSaw CLP once−0.497 (−1.465 to 0.471).314
    Saw CLP twice1.256 (0.009 to 2.504).048
    Saw CLP 3+−1.280 (−2.209 to –0.352).007
    ExerciseSaw CLP once0.118 (−0.159 to 0.396).403
    Saw CLP twice0.064 (−0.292 to 0.420).726
    Saw CLP 3+0.339 (0.071 to 0.607).013
    • CLP = community-links practitioner; EQ-5D-5L = a standardized measure of self-reported health-related quality of life that assesses 5 dimensions at 5 levels of severity; HADS-A = Hospital Anxiety and Depression Scale, Anxiety; HADS-D = Hospital Anxiety and Depression Scale, Depression; ICECAP-A = Investigating Choice Experiments for the Preferences of Older People Capability Measure for Adults; SIMD = Scottish Index of Multiple Deprivation; WASAS = Work and Social Adjustment Scale.

    • Note: Intention-to-treat analysis. Mixed effects regression models at follow-up in relation to intervention group. Effect estimates represent mean differences.

    • Each model adjusts for age, sex, SIMD, comorbidity, and baseline outcome level as covariates and includes practice identifier as a random effects term.

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  • The Article in Brief

    Effectiveness of Community-Links Practitioners in Areas of High Socioeconomic Deprivation

    Stewart W. Mercer , and colleagues

    Background A common policy response to health inequalities in recent years has been the introduction of different social prescribing programs. However, the evidence base for the effectiveness of social prescribing is extremely limited.

    What This Study Found The study assessed the efficacy of a Scottish government-funded program that was developed to target social determinants of health among some of the most socioeconomically vulnerable adults in Glasgow. In the program, "community-links practitioners" connected adult patients with community resources like exercise groups and drug and alcohol management support. The study evaluated the health-related quality of life, at baseline and after nine months, of 288 adults enrolled in the program. The authors compare their scores with 612 non-matched adults in comparison general practices and find no significant benefit in the intervention group. In a subgroup analysis, those who visited the practitioner three or more times showed improved quality of life, but many who enrolled did not fully utilize the program.

    Implications

    • The findings of this study call into question the effectiveness of such social prescribing programs for improving short-term health-related quality of life. Discovering ways to improve the uptake and engagement rates of the intervention may lead to better overall outcomes.
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The Annals of Family Medicine: 17 (6)
The Annals of Family Medicine: 17 (6)
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November/December 2019
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Effectiveness of Community-Links Practitioners in Areas of High Socioeconomic Deprivation
Stewart W. Mercer, Bridie Fitzpatrick, Lesley Grant, Nai Rui Chng, Alex McConnachie, Andisheh Bakhshi, Greg James-Rae, Catherine A. O’Donnell, Sally Wyke
The Annals of Family Medicine Nov 2019, 17 (6) 518-525; DOI: 10.1370/afm.2429

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Effectiveness of Community-Links Practitioners in Areas of High Socioeconomic Deprivation
Stewart W. Mercer, Bridie Fitzpatrick, Lesley Grant, Nai Rui Chng, Alex McConnachie, Andisheh Bakhshi, Greg James-Rae, Catherine A. O’Donnell, Sally Wyke
The Annals of Family Medicine Nov 2019, 17 (6) 518-525; DOI: 10.1370/afm.2429
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