| Literature DB >> 29899057 |
Susan Jill Stocks1, Ailsa Donnelly2, Aneez Esmail3, Joanne Beresford2, Sarah Luty4, Richard Deacon5, Avril Danczak6, Nicola Mann2, David Townsend2, James Ashley7, Carolyn Gamble2, Paul Bowie8,9, Stephen M Campbell3.
Abstract
OBJECTIVES: To estimate the frequency of patient-perceived potentially harmful problems occurring in primary care. To describe the type of problem, patient predictors of perceiving a problem, the primary care service involved, how the problem was discussed and patient suggestions as to how the problem might have been prevented. To describe clinician/public opinions regarding the likelihood that the patient-described scenario is potentially harmful.Entities:
Keywords: primary care; quality in health care; social medicine
Mesh:
Year: 2018 PMID: 29899057 PMCID: PMC6009615 DOI: 10.1136/bmjopen-2017-020952
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Prevalence of respondents reporting a potentially harmful preventable problem within the last 12 months and unadjusted and adjusted odds ratios estimated by logistic regression
| Respondent characteristics (total), | Reported problem in last 12 months (%), n=300 | Unadjusted OR—all reports | Adjusted1 OR— all reports | Adjusted* OR after GP review (lower threshold†), n=97 |
| Gender (1 missing) | ||||
| Male (1950) | 111 (6%) | 1 (ref) | 1 (ref) | 1 (ref) |
| Female (2033) | 189 (9%) | 1.7 (1.3 to 2.2) | 1.7 (1.2 to 2.2) | 2.3 (1.3 to 3.8) |
| Age (years) | ||||
| 15–24 (533) | 38 (7%) | 1 (ref) | 1 (ref) | 1 (ref) |
| 25–34 (573) | 54 (9%) | 1.4 (0.9 to 2.1) | 0.7 (0.4 to 1.3) | 0.4 (0.2 to 1.2) |
| 35–44 (528) | 30 (6%) | 0.8 (0.5 to 1.3) | 0.4 (0.2 to 0.8) | 0.1 (0.0 to 0.6) |
| 45–54 (629) | 54 (9%) | 1.2 (0.8 to 1.9) | 0.7 (0.4 to 1.4) | 0.5 (0.2 to 1.5) |
| 55–64 (654) | 60 (9%) | 1.3 (0.9 to 2.0) | 0.8 (0.4 to 1.6) | 0.7 (0.2 to 2.0) |
| 65–74 (609) | 41 (7%) | 0.9 (0.6 to 1.5) | 0.5 (0.2 to 1.3) | 0.7 (0.2 to 3.0) |
| ≥75 (458) | 23 (5%) | 0.7 (0.4 to 1.2) | 0.3 (0.1 to 0.9) | 0.3 (0.1 to 1.9) |
| Employment status (3 missing) | ||||
| Paid job—full or part time (1719) | 119 (7%) | 1 (ref) | 1 (ref) | 1 (ref) |
| Full time student (283) | 14 (5%) | 0.7 (0.4 to 1.2) | 0.4 (0.1 to 1.1) | 0.4 (0.1 to 1.8) |
| Not working—long-term illness/disability (133) | 22 (17%) | 2.7 (1.6 to 4.4) | 2.3 (1.2 to 4.6) | 0.9 (0.3 to 3.1) |
| Not working—other reason (267, includes unemployed) | 24 (9%) | 1.3 (0.8 to 2.1) | 1.3 (0.7 to 2.4) | 0.4 (0.1 to 1.4) |
| Not working—housewife/husband (201) | 19 (9%) | 1.4 (0.8 to 2.3) | 1.0 (0.5 to 2.0) | 0.3 (0.1 to 1.2) |
| Retired (1198) | 80 (7%) | 1.0 (0.7 to 1.3) | 1.4 (0.8 to 2.6) | 0.5 (0.2 to 1.3) |
| Self-employed (180) | 20 (11%) | 1.7 (1.0 to 2.8) | 2.0 (1.1 to 3.5) | 0.5 (0.1 to 2.3) |
| Region of domicile (23 missing) | ||||
| Greater London (565) | 38 (7%) | 1 (ref) | 1 (ref) | 1 (ref) |
| East Midlands (262) | 9 (3%) | 0.5 (0.2 to 1.0) | 0.6 (0.2 to 1.4) | 0.4 (0.0 to 3.6) |
| East of England (425) | 27 (6%) | 0.9 (0.6 to 1.6) | 0.6 (0.3 to 1.1) | 1.8 (0.5 to 5.8) |
| North (176) | 15 (9%) | 1.3 (0.7 to 2.5) | 0.8 (0.3 to 1.7) | 0.7 (0.1 to 4.3) |
| North-West (490) | 46 (9%) | 1.4 (0.9 to 2.2) | 1.0 (0.6 to 1.9) | 1.4 (0.4 to 4.5) |
| Scotland (372) | 27 (8%) | 1.1 (0.7 to 1.8) | 0.8 (0.4 to 1.6) | 1.8 (0.5 to 6.1) |
| South East (444) | 32 (7%) | 1.1 (0.6 to 1.6) | 1.1 (0.6 to 2.0) | 2.2 (0.7 to 7.0) |
| South West (281) | 33 (12%) | 1.8 (1.1 to 3.0) | 1.0 (0.5 to 2.0) | 1.9 (0.5 to 6.6) |
| Wales (196) | 15 (8%) | 1.1 (0.6 to 2.1) | 0.6 (0.3 to 1.4) | 2.2 (0.5 to 8.5) |
| West Midlands (377) | 19 (5%) | 0.7 (0.4 to 1.3) | 0.6 (0.3 to 1.3) | 1.1 (0.3 to 4.4) |
| Yorks & Humberside (373) | 39 (10%) | 1.6 (1.0 to 2.6) | 1.2 (0.7 to 2.3) | 2.7 (0.8 to 8.4) |
| Ethnicity (18 missing) | ||||
| White (3591) | 271 (8%) | 1 (ref) | 1 (ref) | 1 (ref) |
| Other ethnicity (475) | 26 (5%) | 0.7 (0.5 to 1.0) | 1.2 (0.7 to 2.2) | 1.1 (0.4 to 3.0) |
| Type of community | ||||
| Urban, suburban (3051) | 203 (7%) | 1 (ref) | 1 (ref) | 1 (ref) |
| Rural (933) | 97 (10%) | 1.6 (1.3 to 2.1) | 1.9 (1.3 to 2.7) | 2.0 (1.1 to 3.5) |
| Parental responsibility | ||||
| Zero children under 19 (2839) | 192 (7%) | 1 (ref) | 1 (ref) | 1 (ref) |
| Child(ren) aged up to 19 (1145) | 108 (9%) | 1.4 (1.1 to 1.8) | 1.2 (0.8 to 1.7) | 1.5 (0.8 to 2.8) |
| Tenure (31 missing) | ||||
| Mortgaged (1042) | 84 (8%) | 1 (ref) | 1 (ref) | 1 (ref) |
| Owned outright (1441) | 87 (6%) | 0.7 (0.5 to 1.0) | 0.8 (0.5 to 1.2) | 0.9 (0.4 to 1.8) |
| Rented housing association (301) | 42 (14%) | 1.8 (1.2 to 2.7) | 1.3 (0.7 to 2.2) | 1.1 (0.4 to 2.9) |
| Rented private landlord (719) | 49 (7%) | 0.8 (0.6 to 1.2) | 0.9 (0.6 to 1.5) | 0.9 (0.4 to 2.1) |
| Rented local authority (422) | 31 (7%) | 0.9 (0.6 to 1.4) | 0.6 (0.3 to 1.2) | 1.0 (0.4 to 2.8) |
| Other | 4 (14%) | 1.9 (0.6 to 5.6) | 2.2 (0.6 to 8.2) | –‡ |
| Confidence and trust in GP at last appointment? | ||||
| Yes definitely (3031) | 144 (5%) | 1 (ref) | – | – |
| Yes, to some extent (611) | 68 (11%) | 2.5 (1.9 to 3.4) | – | – |
| No, not at all (311) | 88 (28%) | 7.9 (5.9 to 10.7) | – | – |
| Do not know/cannot say | 0 (0%) | – | – | – |
*Adjusted for gender, age, employment status, ethnicity, tenure, region of domicile, type of community, parental responsibility, highest level of education achieved, marital status, social grade and household income.
†See Table E in the online supplementary appendix 1.
‡Zero problems in this category.
GP, general practitioner.
Figure 1Numbers of patient-perceived problems occurring in the last 12 months categorised according to the patient’s description with clinician ranking as to the likelihood it is a potentially harmful preventable problem (Table E, online supplementary appendix 1).
Details of the patient’s response to the potentially harmful preventable problem and the primary care service involved
| Primary care service involved | Problems in last 12 months, n=300 | All problems analysed,* n=564 |
| GP surgery | 211 (70%) | 395 (70%) |
| Dental surgery | 27 (9%) | 50 (9%) |
| Walk in clinic | 16 (5%) | 22 (4%) |
| Ambulance/A&E/OOH care | 16 (5%) | 28 (5%) |
| Pharmacy | 10 (3%) | 19 (3%) |
| Community or district nursing | 8 (3%) | 21 (4%) |
| Mental health services | 6 (1%) | 8 (1%) |
| Opticians | 4 (1%) | 5 (1%) |
| Physiotherapy (in primary care) | 2 (1%) | 5 (1%) |
| Missing/nk | 0 (<1%) | 11 (2%) |
*All problems analysed includes scenarios arising from Ipsos MORI survey in the last 3 years and the pilot survey (24) within the last 12 months.
GP, general practitioner; OOH, out of hours.
Patient suggestions as to how the potentially harmful preventable problem might have been prevented
| How could it be prevented? | Problems in last 12 months, n=300 | All problems analysed,* n=564 |
| More resources—total | 100 (33%) | 157 (28%) |
| Quicker access to primary care | 43 (14%) | 62 (11%) |
| More thorough and quicker investigations | 35 (12%) | 59 (10%) |
| Fewer demands on primary care—more staff or fewer patients | 7 (2%) | 12 (2%) |
| More time with clinicians for treatment and diagnosis | 8 (3%) | 12 (2%) |
| Improved access to social care | 3 (1%) | 3 (1%) |
| More follow-up by primary care | 2 (1%) | 3 (1%) |
| Improved continuity of care | 1 (<1%) | 2 (<1%) |
| Access to a second opinion | 1 (<1%) | 2 (<1%) |
| Provision of resources to manage long-term conditions | 0 | 2 (<1%) |
| Improved communication and involvement of patients—total | 53 (18%) | 92 (16%) |
| Listen to the patient and trust their judgement more | 36 (12%) | 68 (12%) |
| Tell patients about their diagnosis, test results, changes in medication or loss of results | 10 (3%) | 15 (3%) |
| Improve communication between staff (within or outside primary care) | 7 (2%) | 9 (2%) |
| Better organisation and administration—total | 27 (9%) | 48 (9%) |
| Follow-up referrals and appointments to ensure they happen, be consistent in sending routine reminders | 12 (4%) | 23 (4%) |
| Log in or process results as soon as received to avoid loss | 5 (2%) | 7 (1%) |
| Keep the notes up to date, well-organised, safe and ensure information is transcribed accurately | 9 (3%) | 15 (3%) |
| Keep a record of the location of equipment | 0 | 1 (<1%) |
| Improve the method of appointment allocation | 0 | 1 (<1%) |
| Fine patients for not attending appointments | 1 (<1%) | 1 (<1%) |
| Improved prescribing systems—total | 21 (7%) | 45 (8%) |
| More when checks on prescribing and dispensing | 19 (6%) | 32 (6%) |
| Check repeat prescriptions carefully, especially for transcribing errors | 2 (1%) | 10 (2%) |
| Use medication reviews and IT clinical decision support systems | 0 | 3 (1%) |
| Better clinical practice—total | 17 (6%) | 47 (8%) |
| Take in to account all the patient’s information - their medical history and results and letters | 7 (2%) | 27 (5%) |
| Address the patient’s problem in some way—patients can feel their problem is being ignored | 9 (3%) | 18 (3%) |
| Act on advice from other clinicians and test results | 1 (<1%) | 2 (<1%) |
| Staff training—total | 22 (7%) | 53 (9%) |
| More informed and better trained staff | 22 (7%) | 53 (9%) |
| Other responses—total | 60 (20%) | 122 (22%) |
| Do not know/missing | 28 (9%) | 64 (11%) |
| Problem was due to an individual member of staff | 6 (2%) | 11 (2%) |
| Do not make wrong, late, delayed diagnosis | 7 (2%) | 15 (3%) |
| Prescribe right, better, different, more, less medicine | 8 (3%) | 15 (3%) |
| Should have been referred | 6 (2%) | 9 (2%) |
| Better organisation | 3 (1%) | 4 (1%) |
| Patient recognised their own responsibility | 2 (1%) | 2 (<1%) |
| Laboratory procedures were the problem | 0 | 2 (<1%) |
*All problems analysed includes scenarios arising from Ipsos MORI survey in the last 3 years and the pilot survey (24) within the last 12 months.
Figure 2Median clinician and members of the public estimates of the likelihood that the patient describes a potentially harmful preventable problem occurring in the last 12 months.