| Literature DB >> 34789182 |
Aisling McQuaid1, Rahil Sanatinia1, Lorna Farquharson2, Prisha Shah3, Alan Quirk4, David S Baldwin5, Mike Crawford6.
Abstract
BACKGROUND: Patients who undergo psychological treatment can report both negative and positive effects, but evidence of factors influencing the likelihood of negative effects is limited. AIMS: To identify aspects of the organisation and delivery of secondary care psychological treatment services that are associated with patient experiences of negative effects.Entities:
Mesh:
Year: 2021 PMID: 34789182 PMCID: PMC8600876 DOI: 10.1186/s12888-021-03588-2
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Demographic characteristics of study participants
| Demographic Characteristics | Study sample, n (%) | Sample included in the case-note audit | Difference in proportions (95% CI) |
|---|---|---|---|
| Age, years | 624 | 4462 | |
| 18–25 | 38 | 680 | −9.15 |
| 26–35 | 75 | 923 | −8.67 (− 5.56 to − 11.36) |
| 36–45 | 94 | 808 | −3.04 |
| 46–55 | 135 | 811 | 3.46 |
| 56–65 | 88 | 436 | 4.33 ( |
| > 65 | 194 | 804 | 13.07 |
| Gender | 626 | 4459 | |
| Male | 208 | 1484 | −0.21 |
| Female | 418 (66.5) | 2966 | 0.06 |
| Ethnicity | 625 | 4202 | |
| White | 557 | 3691 | 1.28 |
| Mixed / Multiple | 14 | 141 | −1.12 |
| Asian | 29 | 181 | 0.33 |
| Black | 17 | 94 ( | 0.48 |
| Other | 8 | 95 | −0.98 |
Univariate analysis of neutral or lasting bad effects – demographic factors and process of care
| Neutral or lasting negative effects, n/N (%) | OR (95% CI) | |
|---|---|---|
| Age, years | ||
| > 65 | 29/181 (16) | 1 |
| 18–25 | 12/38 (31.6) | 2.419 (1.097–5.335) |
| 26–35 | 24/72 (33.3) | 2.621 (1.395–4.924) |
| 36–45 | 23/91 (25.3) | 1.773 (0.956–3.287) |
| 46–55 | 49/133 (36.8) | 3.057 (1.798–5.119) |
| 56–65 | 25/85 (29.4) | 2.184 (1.183–4.030) |
| Gender | ||
| Female | 112/404 (27.7) | 1 |
| Male | 48/198 (24.2) | 0.834 (0.564–1.234) |
| Ethnicity | ||
| White | 138/535 (25.8) | 1 |
| Mixed | 2/14 (14.3) | 0.479 (0.106–2.169) |
| Asian | 8/28 (28.6) | 1.151 (0.496–2.672) |
| Black | 5/16 (31.3) | 1.308 (0.446–3.830) |
| Other | 4/8 (50) | 2.877 (0.710–11.659) |
| Agree | 76/412 (18.4) | 1 |
| Neutral/Disagree | 97/205 (47.3) | 3.971 (2.742–5.751) |
| Agree | 67/357 (18.8) | 1 |
| Neutral/Disagree | 101/250 (40.4) | 2.934 (2.034–4.233) |
| Agree | 71/382 (18.6) | 1 |
| Neutral/Disagree | 99/226 (43.8) | 3.415 (2.363–4.934) |
| Agree | 64/377 (17) | 1 |
| Neutral/Disagree | 113/252 (44.8) | 3.976 (2.757–5.733) |
| Agree | 103/478 (21.5) | 1 |
| Neutral/Disagree | 73/147 (49.7) | 3.592 (2.432–5.405) |
| Agree | 116/462 (25.1) | 1 |
| Neutral/Disagree | 60/162 (37) | 1.755 (1.198–2.571) |
| Agree | 90/423 (21.3) | 1 |
| Neutral/Disagree | 84/199 (42.2) | 2.703 (1.876–3.894) |
| Yes | 98/462 (21.2) | 1 |
| No/Unsure | 79/166 (47.6) | 3.373 (2.312–4.920) |
Multivariate analysis of factors associated with likelihood that patients reported neutral or lasting negative effects of treatment
| Experience of treatment | OR (95%) CI | P |
|---|---|---|
| Agree | 1 | |
| Neutral/Disagree | 1.712 (1.078–2.726) | 0.023 |
| Agree | 1 | |
| Neutral/Disagree | 3.105 (1.934–4.987) | 0.000 |
| Agree | 1 | |
| Neutral/Disagree | 2.063 (1.290–3.301) | 0.003 |