T Roberts1, C Lloydwin2, D Pontin3, M Williams3, C Wallace3. 1. University of South Wales, EM023 Postgraduate Room, Lower Glyntaff Campus, Cemetery Road, Pontypridd CF37 4BD, UK. 2. Public Health Team, Cwm Taf Morgannwg University Health Board, Merthyr Tydfil, UK. 3. Faculty of Life Sciences and Education, University of South Wales, Pontypridd, UK.
Abstract
AIMS: Social prescribing continues to grow and change across healthcare services in Wales; however, research of the day-to-day performance of social prescribers is limited. This study aimed to explore which roles are perceived to be the most important and frequently used by social prescribers in Wales and compare these results to reports in studies of services in other countries in order to support future role development and potential standardisation. METHODS: This study used the Group Concept Mapping via the Concept Systems Global Max™ software to collect and analyse all data from both participants and literature. RESULTS: There was a total of 101 statements generated (119 participants, 84 literature) ranging from generic interpersonal skills to specialised training (cognitive behavioural therapy). These statements were then sorted by conceptual similarity into seven clusters (Providing a Specialist Service, Working in a person-centred way, Skills, Connecting Clients with Community, Collaborative Working, Evaluating and postprogramme duties, and Networking/Community). Statements were rated based on their perceived importance and frequency, with the 'Skills' cluster having the highest overall average and 'Providing a Specialist Service' having the lowest. CONCLUSIONS: Reports indicate that in general there is variation in the roles performed by individual participants in Wales; however, greater variation was observed between participants and literature suggesting geographical divergence in practice. In the top 12 highest rated statements for both frequency and importance, individualistic traits such as empathy and 'being a listener' are favoured over specialised methods such as cognitive behavioural therapy and behaviour change taxonomy. Results suggest that local need plays a part in the choices and performance of social prescribers and as such should be considered in future standardisation.
AIMS: Social prescribing continues to grow and change across healthcare services in Wales; however, research of the day-to-day performance of social prescribers is limited. This study aimed to explore which roles are perceived to be the most important and frequently used by social prescribers in Wales and compare these results to reports in studies of services in other countries in order to support future role development and potential standardisation. METHODS: This study used the Group Concept Mapping via the Concept Systems Global Max™ software to collect and analyse all data from both participants and literature. RESULTS: There was a total of 101 statements generated (119 participants, 84 literature) ranging from generic interpersonal skills to specialised training (cognitive behavioural therapy). These statements were then sorted by conceptual similarity into seven clusters (Providing a Specialist Service, Working in a person-centred way, Skills, Connecting Clients with Community, Collaborative Working, Evaluating and postprogramme duties, and Networking/Community). Statements were rated based on their perceived importance and frequency, with the 'Skills' cluster having the highest overall average and 'Providing a Specialist Service' having the lowest. CONCLUSIONS: Reports indicate that in general there is variation in the roles performed by individual participants in Wales; however, greater variation was observed between participants and literature suggesting geographical divergence in practice. In the top 12 highest rated statements for both frequency and importance, individualistic traits such as empathy and 'being a listener' are favoured over specialised methods such as cognitive behavioural therapy and behaviour change taxonomy. Results suggest that local need plays a part in the choices and performance of social prescribers and as such should be considered in future standardisation.
Entities:
Keywords:
group concept mapping; primary care; public health; social prescribing; third sector
Social prescribing has been a part of UK healthcare policy and procedure since the
early 1990s, but a recent growth in popularity has resulted in new services from a
range of UK providers.
Service aims vary from targeting specific mental[2,3] or physical health conditions
to offering a ‘holistic’ approach to wellbeing.
They generally focus on the biopsychosocial factors that affect health using
non-clinical interventions. Services are aimed at people living with long-term
physical health conditions, mental health diagnoses or social isolation. Enthusiasm
from commissioners and health care professionals for social prescribing has grown as
services are perceived to increase patient self-management and reduce healthcare
use.[6,7] The increased
focus on intersectoral ‘joined-up working’ in the NHS
means social prescribing may be seen as a mechanism for social, third and
health sector collaboration given the establishment of the Social Prescribing
Academy in England. There is a need, however, for a greater understanding of how and
for whom these services are effective throughout the UK.Social prescribing in Wales is a collaborative process mostly between statutory
health services and the third sector, with staff management being the responsibility
of third-sector organisations.
This has led to a variety of service models with decisions made to meet local
and organisational need/demands, resulting in variation in staff performance whose
day-to-day roles may include community development, counselling and/or signposting.
Various terms are used to describe front-line workers in social prescribing,
for example, social prescribers, link workers and community connectors. In this
article, we will use the term social prescribers to cover the range of terms. Social
prescribers are often cited as a vital component of the social prescribing
process,[12-14] and the
variety in social prescriber roles is indicative of the lack of standardisation in
the United Kingdom.Despite the increase in social prescribing research, there is a knowledge gap about
the impact of services and how the service components contribute to the outcome.
Systematic reviews have found inconclusive results due to lack of study rigour,
participant adherence rates, small sample sizes and inconsistency in research
methods use, for example, absence of validated outcome measures and control
groups.[16,17] Few published studies address the black-box nature of
interventions. They lack detail on service configuration and participant interaction
with services, for example, number of appointments. Previous studies’ results
highlight the importance of social prescriber/client interaction to service success;
however, there is limited research on social prescriber performance at local
level.This study sets out to answer the question, ‘What are the roles and day-to-day
activity of social prescribers in Wales?’. It aims to explore the social prescriber
role from the role-holder perspective. Group Concept Mapping (GCM) methodology
is used in a mixed-methods consensus design to explore the frequency of use
and perceived importance of daily roles and activities of social prescribers in
Wales and compare their performance with that reported internationally. The results
of this study will contribute to the development of a competency framework for
social prescribing practitioners in Wales.
Methods
Setting and design
GCM consensus methods were used at each stage of inquiry via Group Wisdom™ online software.
The rationale for using GCM was its ability to engage geographically
diverse participants, its short time scale from design to completion and its
ability to present complex data in an accessible manner. Many of the recruited
participants were also familiar with the study design, having participated in
previous GCM studies.The study steering group (C.W., C.L., D.P., M.W.) was drawn from members of the
Wales Social Prescribing Research Network University of South Wales, PRIME
Centre Wales, Public Health Wales and Cwm Taf University Health Board. It was
funded by the KESS 2 Knowledge Economy Skills Scholarship and forms one part of
a PhD project.
Ethical approval
Ethical approval was granted by the University of South Wales Research Ethics
Committee (approval number 19TR0901LR).
Participants
The study recruited participants from across Wales, all of whom were currently
performing the social prescriber role (other terms used to describe
participants’ roles include link worker and community connector). Due to the low
numbers of potential participants, a total population sampling method was
applied. Participants were recruited using existing connections through the
Wales Social Prescribing Research Network. The study information sheets were
sent to organisations and were then disseminated to social prescribers.
Participants who were interested in participating were asked to request a
consent form for completion and return. If participants failed to return consent
forms following this initial expression of interest, they were reminded at two
fortnightly intervals. Recruitment took place from September 2019 to November
2019. Although recruitment was initially proposed via a single health board (Cwm
Taf University Health Board), low recruitment figures prompted the study team to
widen the recruitment area to the remaining six health boards. In total, 16
participants were assigned to the study, with 7 completing each stage in
full.
Procedure
All three phases of participant data collection were completed using the Group
Wisdom™ online platform. An email invitation was sent to prospective
participants before the study start and on receiving informed consent,
individuals were sent a unique login code. Participants were able to personalise
this after initial login. Each phase took 30–40 min to complete. The phases ran
sequentially and were completed over a 14-week period, and participants were
offered telephone support and prompts to complete tasks to time.
Phase 1 – brainstorming
Brainstorming in GCM usually consists of participants generating statements
in response to a focus prompt. In this study, the focus prompt was:As a link worker/social prescriber/community connector my
role includes …This was completed by participants over 2 weeks during November 2019, at
which point statements were cleaned – checked for spelling and/or grammar
errors, conjoined statements were separated and duplicates removed, leaving
n = 46 statements produced by participants. Duplicate
statements were confirmed by steering group member consensus.Following Stoyanov et al.,
the GCM process was altered to include focus prompts derived from
social prescribing studies published between January 2016 and April 2019.
These were identified by TR from a recent systematic review
using Squire et al.’s method
for inclusion. This resulted in a broad representation of social
prescribing across peer-reviewed studies and grey literature of services in
England, Scotland and the Netherlands. Of these studies, 30 reported on
social prescriber activity and were searched for declarative statements in
response to the focus prompt. Statements were generated through in vivo
coding and were subject to the same cleaning and duplicate removal process
as those created by participants. Where literature statements were
duplicated by participants, the participant-generated statement was used.
This resulted in 84 unique statements from the literature confirmed by the
steering group.
Phase 2 – sorting
All cleaned statements were made available to participants for the sorting
phase in mid-December. This involved grouping statements using a
drag-and-drop interface. Participants sort statements based on their
perceived similarity. The metric by which similarity is defined is left to
the individual participant. Statement groups have no upper size limit, so
long as they have a minimum of two statements per group. No group may
consist of one statement. Each group is labelled by each participant with a
phrase that best describes their perceived similarity. The final group label
is the most frequently used term by the participants.
Phase 3 – rating
Statements are de-grouped in the rating phase, and participants rate each
statement using two 5-point Likert-type-style scales. In this case,
participants rated the frequency of role/activity performance and their
perceived importance. This took place during a 2-week period in January
2020, and all data collection was complete by 24 January 2020.
Analysis
GCM analysis is completed in three steps using the Group Wisdom™ software:All statements are plotted in a similarity matrix. This charts the
frequency of statements being grouped together.A point map is generated from the similarity matrix. Each statement is
given an XY coordinate. This is achieved using multidimensional scaling
analysis.Finally, hierarchical cluster analysis is applied to the point map. A
series of diagrams and reports including a cluster map, a cluster rating
map and go-zone analysis are generated.The point map is generated by the Group Wisdom™ software, but the final
configuration of clusters is decided upon by the user, that is, the study
steering group. The software generated a range of cluster configurations from
fifteen clusters to three (Figure 1); the chosen map contains seven (Figure 2). A number of factors are taken
into consideration in this decision, and Kane and Trochim
recommend that the final arrangement should be informed by context and
practicality.
Figure 1.
Clusters and example statements (full list of statements available in
Appendix A in Supplemental material)
Figure 2.
Point Map
Clusters and example statements (full list of statements available in
Appendix A in Supplemental material)Point MapAt each stage, the results were discussed with the study steering group and
consensus was sought at each stage of interpretation.
Results
Brainstorming – generating statements
Participants identified 46 unique statements during the brainstorming phase.
Initially, 40 statements were produced but the steering group considered that a
number of these needed splitting as they contained multiple statements in
response to the focus prompt. For example, the statement: ‘Capturing all the
data, to complete a quarterly report and service evaluations’ was separated into
two statements – ‘Capturing all the data to complete a quarterly report’ and
‘Capturing all the data to complete service evaluations’ (see Statements 75 and
76). A similar process was applied to the 84 statements derived from analysing
30 studies gathered in the literature review. Both sets of statements were
cross-referenced for duplicates which were removed, leaving a total of 113
statements. Where duplicates existed between the two groups, the statement
generated by participants was used. All of the resulting statements were then
used to populate a point map plotting statements on an XY axis based on their
similarity (Figure 2).
The map has a stress value of 0.3048, which is within the suggested range of 0.205–0.365.
Despite being on the higher end of the scale, the map implies a good
relationship between the results of the points’ placement on the map and the
sorting exercise, suggesting internal validity.
Cluster maps
The cluster with the highest number of statements is ‘Providing Specialist
Support’ (n = 24) followed by‘Working in a person-centred way’ (n = 23),‘Skills’ (n = 21),‘Connecting Clients with Community’ (n = 12),‘Collaborative Working’ (n = 11) and‘Evaluating and post-programme duties’ (n = 11) and
‘Networking/Community’ (n = 11).The XY placement of clusters on the map (Figure 3) represents their contextual
similarity. For example, ‘Collaborative Working’ and ‘Networking/Community’ are
adjacent while ‘Skills’ and ‘Collaborative Working’ are on opposite sides of the
map. The distribution of participant statements and literature derived
statements is consistently even except for two clusters: ‘Providing Specialist
Support’ and ‘Evaluating and Postprogramme Duties’. The ‘Providing Specialist
Support’ cluster is almost entirely composed of literature-only statements
(96%), serving as a cluster for roles considered less relevant to participants’
daily activity. In contrast, the ‘Evaluating and Postprogramme Duties’ only
contained one literature derived statement, with 10 participant statements. Of
these 10, three statements were duplicated in the literature and 7 were unique
to participants, making this cluster the most unique to participants.
Figure 3.
Cluster map
Cluster mapThe cluster rating results (Figures 4 and 5) show the most frequently performed roles were found in the
‘Skills’ cluster, followed by ‘Connecting Clients with Community’ and ‘Working
in a person-centred way’. The most important clusters were these three clusters
and ‘Evaluating and Postprogramme Duties’. The least frequently performed and
important cluster was ‘Providing Specialist Support’, while ‘Evaluating and
Postprogramme Activities’ was reported as having a higher importance than
frequency of performance. There is a perceived parity between cluster importance
and frequency with which the corresponding roles are performed.
Figure 4.
Cluster rating map – importance
Figure 5.
Cluster rating map – frequency
Cluster rating map – importanceCluster rating map – frequency
Go-zone
The Go-Zone report (Figure
6) charts the individual rating data of each statement on an XY axis.
The mean for both rating scales intersects the graph creating quadrants. The
four zones may be interpreted as:
Figure 6.
Go-zone map
Top Right: Most important and most frequently performed – Core job
rolesBottom Right: Important but not as frequently performed – Roles for
further integrationTop Left: Frequently performed but not as important – Roles for
reconsiderationBottom Left: Least important and least frequently performed – Unrelated
rolesGo-zone mapThe top 12 statements of the top right Go-Zone were split 5:7 between
literature-only and participant statements based on their combined average
score. Conversely, the 12 lowest scoring statements in the bottom left Go-Zone
were split 10:2 between literature-only and participants’ statements. The most
highly represented cluster within the top right Go-Zone was ‘Skills’, whereas
‘Providing Specialist Support’ featured most prominently in the bottom left
Go-Zone. ‘Evaluating and Postprogramme Duties’ was the most common cluster in
the bottom right Go-Zone, while the most common cluster in the top left Go-Zone
was ‘Working in a person-centred way’.
Discussion
The study results outline the roles and skills used in everyday social prescriber
practice in Wales. It gives insight into the role from their perspective by asking
them to identify the most important aspects of their day-to-day praxis. The
inclusion of literature-derived statements allows us to compare and contrast roles
that are most consistent and most disparate between social prescribers working in
Wales and those represented in literature.Results suggest there is variety in the social prescribing role in Wales consistent
with previous research.
These range from highly specified roles and knowledge, such as Cognitive
Behavioural Therapy and Behaviour Change Taxonomy to more general professional
attributes, including displaying empathy or ‘being a listener’. This variety is
apparent when comparing the results of participant generated statements with
literature-derived statements; however, it still exists among the groups themselves.
This can be seen in the ‘Providing Specialist Support’ cluster which has the largest
share of literature-only statements (96%), relating to specialised techniques or
knowledge (psychotherapy, cognitive behavioural therapy) and localised service
features. In the participant statements alone, there is variation in social
prescriber engagement with clients and organisations. Some participants take a more
direct role by providing activities, while others pre-audit organisations before
referral; other social prescribers report taking responsibility for public health
messaging, while some report writing case studies. There exists a perceived
flexibility even on a local scale, which may be due to the professional background
of social prescribers, the organisational perspective, or specific requirements of
local populations.This study’s results indicate a clear trend that the most important and most
frequently performed roles are related to the individual traits demonstrated in
performance. The statements in the top right of the Go-Zone map (core job role) are
more likely to originate in ‘Skills’ (29%) or ‘Connecting Clients with Community’
(22%) clusters, which contain a mixture of performance descriptors and duties. In
the top 12 highest rated statements, 50% originate in the ‘Skills’ cluster,
suggesting that the most vital aspects of the role are individual attributes such as
‘Being Empathetic’ and ‘Being a listener’, as well as skills and approaches such as
‘Delivering a flexible service’ and ‘Building trust’.It is interesting to note that 62% of the ‘Skills’ statements found in the top right
Go-Zone were exclusively found in the literature. It may be that social prescribers
did not recognise the value of these traits in their performance during the
brainstorming phase despite their perceived importance and frequency of performance.
It may also be a response to the phrasing/interpretation of the focus prompt as
personal attributes may not have been considered by participants as a valid
response, instead favouring statements describing activity. In contrast, the least
important and frequently performed statements found in the bottom left Go-Zone were
mostly from the ‘Providing Specialist Support’ (41%) and ‘Working in a
Person-Centred Manner’ (20%) clusters. This pattern is echoed in the 12 lowest rated
statements; 67% were found in the ‘Providing Specialist Support’ cluster and 83%
were exclusively found in the literature. Unlike the top right zone statements,
these mostly focused on specific training, knowledge or service delivery, for
example, ‘Coordinating care’, ‘Having expertise in psychotherapy’ and ‘Acting as a
case manager for patients’. On this end of the scale it may be interpreted that
statements represent localised needs that are unrelated to the performance of social
prescribers from Wales included in this study.When comparing the results of literature-derived statements and participant generated
statements, a number of issues are apparent. First, some statements are shared
between the literature and participants in the original data
(n = 13). These focus on procedural roles including ‘collecting
data’, ‘conducting face-to-face meeting’ or ‘signposting clients to community
organisations’. It was expected that there would be differences related to specified
knowledge or skills, for example, psychotherapy or counselling. It was unexpected to
note the difference in statements including attribute declarations such as ‘building
trust’ and ‘being empathetic’. These statement types appeared more frequently in
literature, despite being recognised as some of the most important during the rating
exercise. This suggests that social prescribers perform these roles without
self-recognition or that the focus prompt structure did not elicit this type of
response.Other differences include the greater detail provided by the literature on the
location of appointments and the type of information on offer. Despite the low
overall percentage of duplicate statements, some statements may share contextual
meaning but remain separate due to the coding method and language used. For example,
the statement from a participant ‘Connecting individuals into their community’ and
the statement ‘Supporting patients access to community organisations’ from
literature may describe the same process, despite being coded as separate
statements; especially when considering their mutual placement in the same cluster
and similar importance and frequency scores. Conversely, other statements with a
perceived similarity are separated in their rating scores. ‘Making connections
between third sector and primary care/health’, ‘Networking between public sector and
third parties’ and ‘Improving intersectoral working’ are all rated differently
between the top left and top right Go-Zones. This may highlight the local prevalence
of certain phrases, resulting in a greater perceived value and relevancy. In this
case, the divergent terminology is ‘intersectoral’, which was perceived as
frequently performed but less important than ‘networking’.This is not surprising as reports of services indicate a fluctuation in language even
in the most fundamental attributes of services including the title given to social
prescribers and service procedures.
Further enquiry into social prescribing terminology use and how it changes on
a local scale could provide valuable insight into the differences between UK
services. There appears to be a level of parity in the practice reported by the
participants and in literature, particularly in roles considered the most frequently
performed and important. Statements from the literature account for 42% of the top
right Go-Zone total. The greatest deviation exists in the bottom left Go-Zone (least
important and least frequently performed), which mostly consists of literature
statements (83%).In light of recent calls for social prescriber role standardisation,
the study results raise the issue of how standardisation may proceed. Certain
elements of social prescriber performance are tied to local need, client group and
service, including the skill sets/techniques employed by social prescribers, their
interaction with other healthcare staff and the use of local services. Arguably, the
success of many social prescribing services is ascribed to their flexibility
to meet need. While these local elements may not be relevant for most
services, their inclusion retains value in that it suggests a greater sense of
personalisation for a particular service and its clients. It may be argued that the
standardisation of these elements could have an overall negative impact on services.
However, where consistency already exists, further standardisation could improve
services already being delivered. When comparing these results to social prescribing
training needs as reported by Wallace et al.,
similarities are visible in the value and consistency placed on delivery and
interpersonal skills. Wallace et al. suggest that the most important learning needs
were related to ‘Compassion’, such as ‘Building rapport’ and maintaining
‘Professional Boundaries’, while training was simultaneously unavailable. These
specific outcomes may benefit from inclusion in training courses and future
standardisation, especially as these attributes were consistent in statements
generated by participants and literature in this study.
Conclusion
This study offers a number of valuable insights into the current social prescribing
landscape in Wales. First, it identifies roles and activities regularly performed by
social prescribers that are often flexible and diverse, demonstrating similarities
in approach and person specification while demonstrating distinct differences in
practice. It gives insight into the perceived value of these roles by those
performing them. In particular, the study demonstrates that social prescribers
consider interpersonal skills to be more important skills than specialised
techniques, and knowledge of local community organisations is considered
fundamental. Finally, it offers an initial comparison of social prescribers practice
reported in literature (including projects in England, Scotland and the Netherlands)
with that of Wales, demonstrating similarities in approach but variety in experience
and expected skill levels and areas. These results suggest future value in
conducting similar research to generate primary data in alternative UK locations
with social prescribers.
Strenghts & Weaknesses
Although not comprehensive, due to the limited sample size and use of literature as
opposed to primary data collection, this study offers an initial comparison of
third-sector managed social prescribing services (Wales) with alternative designs
such as those run by the NHS. This comparison is often neglected in research, with
the majority of studies focusing only on NHS-commissioned and -operated
services.[16,23] The study has a small sample size; however, it remains within
range for the GCM method, and its stress value (measuring validity) is within the
recommended range.There are potential limitations to using literature to generate statements as studies
are reported from a third-party perspective, which may result in mis-interpretation
of roles due to their complex interaction with statutory and third-sector
organisations and the primary-care focused representation of social prescribing’s definitions.
As such future research comparing these results with primary data collected
in other locations would potentially provide more direct comparison between the
groups and would allow for greater exploration of general and local roles. More
research is also needed to understand the justifications for difference in service
provision and the factors that inform service design. It is envisaged that utilising
this and similar data could provide a platform for the bottom-up development of a
competency framework, which may aid the process of link workers’ professional
development and/or standardisation.Click here for additional data file.Supplemental material, sj-pdf-1-rsh-10.1177_1757913921990072 for The role of
social prescribers in wales: a consensus methods study by T Roberts, C Lloydwin,
D Pontin, M Williams and C Wallace in Perspectives in Public Health
Authors: Slavi Stoyanov; Henny Boshuizen; Oliver Groene; Marcel van der Klink; Wendy Kicken; Hendrik Drachsler; Paul Barach Journal: BMJ Qual Saf Date: 2012-10-16 Impact factor: 7.035
Authors: C Wallace; M Elliott; S Thomas; E Davies-McIntosh; S Beese; G Roberts; N Ruddle; K Groves; S Rees; D Pontin Journal: Perspect Public Health Date: 2020-01-28
Authors: Julian Elston; Felix Gradinger; Sheena Asthana; Caroline Lilley-Woolnough; Sue Wroe; Helen Harman; Richard Byng Journal: Prim Health Care Res Dev Date: 2019-09-24 Impact factor: 1.458
Authors: Daniel F Morse; Sahil Sandhu; Kate Mulligan; Stephanie Tierney; Marie Polley; Bogdan Chiva Giurca; Siân Slade; Sónia Dias; Kamal R Mahtani; Leanne Wells; Huali Wang; Bo Zhao; Cristiano Emanuel Marta De Figueiredo; Jan Joost Meijs; Hae Kweun Nam; Kheng Hock Lee; Carolyn Wallace; Megan Elliott; Juan Manuel Mendive; David Robinson; Miia Palo; Wolfram Herrmann; Rasmus Østergaard Nielsen; Kerryn Husk Journal: BMJ Glob Health Date: 2022-05