Article Figures & Data
Figures
- Figure 1. A) GP quality leads' views on cluster meetings; B) GP quality leads' views on level of support for clusters.
Tables
GP quality leads, n (%) All other GPs, n (%) P value Age, years 0.001 ≤40 135 (23.4) 566 (32.9) 41–50 219 (37.9) 542 (31.5) ≥50 225 (38.8) 611 (35.5) Sex <0.001 Male 332 (53.2) 687 (37.6) Female 292 (46.8) 1138 (62.4) Ethnic group 0.180 White Caucasian 557 (91.6) 1668 (93.2) Other 51 (8.4) 121 (6.8) GP position <0.001 Practice partner 589 (94.5) 1453 (80.1) Salaried or locum 34 (5.5) 360 (19.9) Sessions per week <0.001 <7 192 (30.8) 905 (49.8) ≥7 431 (69.2) 914 (50.2) Vote in GP Contract 0.958 Voted in favour 365 (71.9) 922 (72.0) Voted against 143 (28.1) 359 (28.0) Practice list size <0.001 <5000 250 (40.0) 389 (21.5) 5000–10 000 289 (46.2) 967 (53.4) >10 000 86 (13.8) 454 (25.1) Practice location <0.001 Remote and rural 120 (19.3) 225 (12.5) Urban 502 (80.7) 1576 (87.5) Deep End practice 0.839 Yes 72 (25.2) 214 (75.5) No 549 (74.8) 1600 (74.5) Denominators may vary due to missing data.
Always,n (%) Nearly always,n (%) Sometimes,n (%) Hardly ever,n (%) Never,n (%) Extent to which cluster meetings are: Well organised(n = 593) 174 (29.3) 304 (51.3) 84 (14.2) 24 (4.0) 7 (1.2) Friendly (n = 593) 348 (58.7) 218 (36.8) 22 (3.7) 4 (0.7) 1 (0.2) Well facilitated(n = 591) 175 (29.6) 274 (46.4) 110 (18.6) 25 (4.2) 7 (1.2) Productive (n = 593) 88 (14.8) 215 (36.3) 209 (35.2) 65 (11.0) 16 (2.7) Extent supported in relation to: Fully supportedn (%) Almost fully supportedn (%) Somewhat supportedn (%) Not at all supportedn(%) Not relevantn(%) Data (n = 595) 31 (5.2) 92 (15.5) 340 (57.1) 117 (19.7) 15 (2.5) Health intelligence(n = 593) 19 (3.2) 69 (11.6) 314 (53.0) 159 (26.8) 32 (5.4) Analysis (n = 594) 15 (2.5) 73 (12.3) 313 (52.7) 172 (29.0) 21 (3.5) Quality improvement(n = 593) 18 (3.0) 91 (15.3) 314 (53.0) 154 (26.0) 16 (2.7) Advice (n = 593) 20 (3.4) 99 (16.7) 317 (53.5) 141 (23.8) 16 (2.7) Leadership (n = 595) 30 (5.0) 99 (16.6) 289 (48.6) 161 (27.1) 16 (2.7) Evaluation and research(n = 594) 7 (1.2) 52 (8.8) 264 (44.4) 222 (37.4) 49 (8.2) Cluster item Factor 1a Factor 2a Well organised 0.869 0.140 Friendly 0.829 0.029 Well facilitated 0.883 0.164 Productive 0.816 0.263 Data 0.112 0.823 Health intelligence 0.068 0.852 Analysis 0.078 0.863 Quality improvement 0.138 0.831 Advice 0.232 0.798 Leadership 0.302 0.725 Evaluation and research 0.106 0.787 Bartlett's test of sphericity = P<0.001.
KMO measure of sampling adequacy = 0.896.
aHigh factor loadings identify a single construct, which means the items within it can be legitimately aggregated to give a total score.
Strongly disagree,n (%) Disagree,n (%) Neutral,n (%) Agree,n (%) Strongly agree,n (%) I feel informed about what my cluster is trying to achieve(n = 2450) 195 (8.0) 463 (18.9) 553 (22.6) 1021 (41.7) 218 (8.9) Decisions made by my GP cluster reflects my views(n = 2447) 147 (6.0) 420 (17.2) 1055 (43.1) 694 (28.4) 131 (5.4) My practice quality lead is responsive to queries and/or concerns (n = 2406) 51 (2.1) 107 (4.4) 843 (35.0) 1063 (44.2) 342 (14.2) Our GP cluster is owned by its members and feels like our organisation (n = 2439) 184 (7.5) 432 (17.7) 1040 (42.6) 615 (25.2) 168 (6.9) I can influence the work of my GP cluster if I choose to (n = 2440) 153 (6.3) 362 (14.8) 884 (36.2) 853 (35.0) 188 (7.7) How GP clusters have affected: Decreased a lot,n(%) Decreased a little,n(%) Not changed,n(%) Increased a little,n(%) Increased a lot,n(%) Your understanding of quality planning (how to set quality improvement goals) (n = 2432) 82 (3.4) 128 (5.3) 1636 (67.3) 530 (21.8) 56 (2.3) Your understanding of quality improvement (methods and approaches) (n = 2430) 73 (3.0) 127 (5.2) 1645 (67.7) 527 (21.7) 58 (2.4) Your understanding of quality control (measuring improvement, ensuring safety) (n = 2430) 75 (3.1) 116 (4.8) 1726 (71.0) 473 (19.5) 40 (1.6) Your understanding of the characteristics of the local population of patients (n = 2431) 56 (2.3) 75 (3.1) 1674 (68.9) 556 (22.9) 70 (2.9) The quality of care that you provide (n = 2431) 38 (1.6) 91 (3.7) 1836 (75.5) 440 (18.1) 26 (1.1) The extent to which you involve patients in decisions about their care (n = 2425) 37 (1.5) 76 (3.1) 1984 (81.8) 297 (12.2) 31 (1.3) Cluster item Factor 1a Factor 2a Informed about cluster 0.808 0.229 Decisions reflect my views 0.828 0.243 PQL responsive to queries or concerns 0.688 0.157 Feel ‘ownership’ of cluster 0.813 0.251 Can influence cluster work 0.805 0.246 Quality planning 0.299 0.822 Quality improvement 0.270 0.862 Quality control 0.236 0.873 Local population needs 0.292 0.731 Quality of care 0.238 0.718 Shared decision making 0.080 0.707 Bartlett's test of sphericity = P<0.001.
KMO measure of sampling adequacy = 0.908.
PQL = practice quality lead.
aHigh factor loadings identify a single construct, which means the items within it can be legitimately aggregated to give a total score.
Supplementary Data
SUPPLEMENTARY MATERIALS
- SM_10.3399bjgpopen20X101112_supp.pdf -
Supplementary material is not copyedited or typeset, and is published as supplied by the author(s). The author(s) retain(s) responsibility for its accuracy.
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Progress of GP clusters 2 years after their introduction in Scotland: findings from the Scottish School of Primary Care national GP survey
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