| Literature DB >> 31727668 |
Blerina Kellezi1, Juliet Ruth Helen Wakefield2, Clifford Stevenson2, Niamh McNamara2, Elizabeth Mair2, Mhairi Bowe2, Iain Wilson2, Moon Moon Halder2.
Abstract
OBJECTIVES: This study aimed to assess the degree to which the 'social cure' model of psychosocial health captures the understandings and experiences of healthcare staff and patients in a social prescribing (SP) pathway and the degree to which these psychosocial processes predict the effect of the pathway on healthcare usage.Entities:
Keywords: community; loneliness; primary care; social cure; social determinants of health; social prescribing
Year: 2019 PMID: 31727668 PMCID: PMC6887058 DOI: 10.1136/bmjopen-2019-033137
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Participant characteristics
| Characteristic | Patients | GPs | LWs/HCs |
| N | 19 | 7 | 3 HCs and 6 LWs |
| Age | 29–85 years (average age: 60.4 years) | 33–53 years; three unknown (average age 43 years) | HC: 47–50 years (average age 48.43 years). LW: 22–52 years, 1 unknown (average age 30.80 years) |
| Gender | 12 female, | 2 female | HC: 1 female; 2 male |
| Interview location | University campus, in patient’ homes, private spaces at the community library | GPs’ workplace; university campus | HC: university campus |
| Interview length | Ranged 20–111 min ( | Ranged 21 min and 3 s to 51 min and 31 s ( | HC: ranged 40 min and 9 s to 76 min and 30 s ( |
| Ethnicity | 84% (n=16) white and/or British | 71.43% (n=5) white British and (n=2) Caucasian | HC: white British (n=3); LW: white British (n=4) and white (n=2) |
| Recruitment | All first 456 recruited patients were invited once at least 3 months after recruitment. Invitations were sent in four waves to achieve a total of 19. | Organisational contact points | Organisational contact points |
| Employment | 53% (n=10) retired | N/A | N/A |
| Living with | 42% (n=8) lived alone | N/A | N/A |
| Referred by | 58% (n=11) GP | N/A | N/A |
| Referral reason | 53% (n=10) weight loss followed by support for 37% (n=7) multiple/complex needs including loneliness | N/A | N/A |
GP, general practitioner; HC, health coach; LW, link worker.
T0/T1 (n=178): descriptive statistics and intercorrelations for key variables
| Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| 1. Change in No. of groups | – | ||||||||||||
| 2. No. of groups T0 | −0.53*** | – | |||||||||||
| 3. No. of groups T1 | 0.69*** | 0.23** | – | ||||||||||
| 4. Community belonging T0 | −0.16* | 0.31*** | 0.08 | – | |||||||||
| 5. Community belonging T1 | 0.10 | 0.14 | 0.24** | 0.44*** | – | ||||||||
| 6. Primary care use T0 | 0.04 | −0.04 | 0.01 | 0.01 | −0.11 | – | |||||||
| 7. Primary care use T1 | 0.01 | 0.01 | 0.01 | −0.06 | −0.14† | 0.69*** | – | ||||||
| 8. Loneliness T0 | 0.15 | −0.20** | −0.001 | −0.38*** | −0.29*** | 0.08 | 0.21** | – | |||||
| 9. Loneliness T1 | 0.06 | −0.15* | −0.06 | −0.25** | −0.40* | 0.20** | 0.32*** | 0.44*** | – | ||||
| 10. Age | −0.09 | 0.19* | 0.07 | 0.19* | 0.08 | −0.02 | −0.02 | −0.26** | −0.22** | – | |||
| 11. Gender | 0.01 | 0.14† | 0.13† | −0.03 | −0.04 | 0.02 | −0.02 | −0.02 | −0.11 | 0.10 | – | ||
| 12. Relationship | −0.03 | 0.07 | 0.02 | 0.06 | 0.23** | −0.04 | −0.03 | −0.36* | −0.22** | 0.07 | 0.08 | – | |
| 13. Education | −0.06 | 0.23** | 0.13† | 0.10 | 0.03 | −0.04 | 0.07 | −0.08 | −0.11 | 0.15† | 0.09 | 0.04 | – |
***p<0.001; **p<0.01; *p<0.05; †p<0.10.
Figure 1Model depicting the significant indirect effect of change in number of group memberships between T0 and T1 on primary healthcare usage T1 via community identification T1 and loneliness T1. Community identification T0, loneliness T0, primary healthcare usage T0, gender, age, relationship status, employment status, and education were controlled for in the analysis. Bracketed coefficient is the direct effect. Note: ***p<.001; **p≤.01.