Research

Patient safety culture in Italian out-of-hours primary care service: a national cross-sectional survey study

Jacopo Demurtas, Pierpaolo Marchetti, Alberto Vaona, Nicola Veronese, Stefano Celotto, Ellen Catharina Deilkås, Dag Hofoss and Gunnar Tschudi Bondevik
BJGP Open 2020; 4 (5): bjgpopen20X101098. DOI: https://doi.org/10.3399/bjgpopen20X101098

Abstract

Background Out-of-hours (OOH) services in Italy provide >10 million consultations every year. To the authors' knowledge, no data on patient safety culture (PSC) have been reported.

Aim To assess PSC in the Italian OOH setting.

Design & setting National cross-sectional survey using the Safety Attitudes Questionnaire — Ambulatory Version (SAQ-AV).

Method The SAQ-AV was translated into Italian and distributed in a convenience sample of OOH doctors in 2015. Answers were collected anonymously by Qualtrics. Stata (version 14) was used to estimate Cronbach’s alpha, perform exploratory and confirmatory factor analysis, correlate items to doctors’ characteristics, and to do item descriptive analysis.

Results Overall, 692 OOH doctors were contacted, with a 71% response rate. In the exploratory factor analysis (EFA), four factors were identified: Communication and Safety Climate (14 items); Perceptions of Management (eight items); Workload and Clinical Risk (six items); and Burnout Risk (four items).

These four factors accounted for 68% of the total variance (Kaiser–Meyer–Olkin [KMO] statistic = 0.843). Cronbach’s alpha ranged from 0.710–0.917. OOH doctors were often dissatisfied with their job; there is insufficient staff to provide optimal care and there is no training or supervision for new personnel and family medicine trainees. Service managers are perceived as distant, with particular issues concerning the communication between managers and OOH doctors. A large proportion of OOH doctors (56.8%) state that they do not receive adequate support.

Conclusion These findings could be useful for informing policies on how to improve PSC in Italian OOH service.

How this fits in

Patient safety culture (PSC) is an insufficiently studied topic in Italy. A number of reports in hospital settings exist but, to the authors' knowledge, PSC has not been assessed in Italy in outpatient settings. This study could help inform policies to strengthen PSC in out-of-hours (OOH) service and improve communication between directors and doctors, leading to better health care.

Introduction

The Italian OOH service provides >10 million consultations every year and ensures care for patients with urgent healthcare needs.1 Safe, good, consistent, and effective OOH primary care services are crucial for providing care as close to a patient’s home as possible.1–4

PSC is how leaders and staff interactions, attitudes, routines, and practices protect patients from adverse events in health care.3 PSC, therefore, should be considered as a group phenomenon rather than a phenomenon regarding individuals.3,5 Several organisations, such as the UK NHS,1 the Joint Commission for the Accreditation of Healthcare Organisations, the Agency for Healthcare Research and Quality,6 and the US National Quality Forum encourage measurements of safety culture. Safety attitude evaluation, born in aviation and in the military field,7,8 was the model for patient safety attitudes of healthcare providers2 and for the Safety Attitude Questionnaire (SAQ),9,10 widely used in hospital settings and then adapted to outpatient primary care setting in an SAQ-Ambulatory Version (SAQ-AV).2,11,12

Research on PSC began in hospitals and is still focused on secondary care. Nevertheless, the bulk of services are outside of hospitals. As Italian OOH services deliver millions of consultations every year, it is important to expand the scope of PSC research to also include this aspect of health care. The SAQ-AV has been recently used as part of the SAFE-EUR-OOH project in Norway,3 the Netherlands,11 and Slovenia5 to measure PSC. In these surveys, the questions relevant to describing a single dimension of professional healthcare activity and setting which may impact on patient safety are aggregated into clusters called factors. To the best of the authors' knowledge, there have been no studies on PSC in Italian OOH services. The aims of this study were to translate the SAQ-AV into Italian, to test the reliability of the factor structure, and to assess whether the factors were related to demographic characteristics in Italian OOH services.

Method

Type of study and setting

Doctors working in OOH services across all of the Italian regions divided into three geographical areas (North, Centre, South and Islands) were involved in a cross-sectional study. Doctors without an employment contract with the Local Health Trust were excluded.

Research instrument

The original SAQ-AV was translated from English into Italian according to modified principles from Beaton,13 which allow a cross-cultural adaptation of the contents of a questionnaire assuring a prompt understanding of the surveys by readers. The SAQ-AV consists of 62 items, all rated on a 5-point Likert scale by which the responders indicate their level of agreement with the statement (1 = disagree strongly, 2 = disagree slightly, 3 = neutral, 4 = agree slightly, 5 = agree strongly). In the analysis, scores of negatively worded items were reversed, so that higher scores in the dataset always indicated a more positive evaluation of the PSC. For all questions, 'Not Applicable' was included as a response category and was combined with missing values in the data analyses.

Demographic variables measured were: sex (male, female), age (≤30, 31–40, 41–50, >50 years), position (medical doctors/interns, managers), working experience (≤5, 6–10, 11–20, >20 years), years in this workplace (≤2, 3–5, 6–10, 11–20, >20 years), work shift (diurnal/evening, night, mixed), and employment contract (full-time or part-time contract work).

Data collection

On 23 March 2015, the research team used the data collection program Qualtric to send the survey to all the participants, from the coordinating centre in Norway. Automatic reminders were sent after 1 week and 1 month to those who had not answered, and time was given to fill in the questionnaire up until 6 May 2015. All questions were obligatory to answer. The period of data collection lasted 54 days. OOH doctors were recruited in collaboration and agreement with two primary care doctors’ organisations: Federazione Italiana Medici di Medicina Generale, the principal union of GPs in Italy, and Movimento Giotto, the cultural movement of young GPs in Italy, which spread the invitation to receive the SAQ-AV by email.

The electronic questionnaire was sent to 692 enrolled OOH doctors who had expressed their interest in taking part in the survey. Of these, 491 subjects completed the questionnaire (response rate 71%). Thirty-three subjects were excluded because all variables (demographic characteristics and questionnaire) were missing. To perform the Exploratory Factor Analysis (EFA), items were excluded whose missing counts exceeded 20% (Supplementary Table S1 and Table S2) and subjects who had <75% of valid answers to items (n = 49). The final number of subjects included in the analysis was 409.

Statistical analysis

The Qualtrics files with anonymous SAQ-AV data were used to estimate the Cronbach’s alphas, item-to-own-factor correlations, intercorrelations of factors, and item-descriptive statistics. The original SAQ, developed at the University of Texas at Austin, described six factors: Teamwork climate, Safety climate, Working conditions, Job satisfaction, Perceptions of management, and Stress recognition. Since several studies have found that the factor Stress recognition did not vary significantly among organisational units14 and also had problems regarding construct validity , it cannot be considered a valid factor for measuring patient safety . Moreover, items originally included in two different factors (Safety climate and Teamwork climate) presented similar loadings, and were therefore clustered together in the analysis. Hence, the hypothesised factor model included four factors.

The factors reflect the correlation structure in the item responses. Valid factors should reflect a thematic logic that is coherent with the purpose of the questionnaire. The hypothesised model was tested by Confirmatory Factor Analysis (CFA) and the fit of the model was described by four goodness of fit indicators: the Χ2 test, the pclose value, the comparative fit index (CFI), the root mean squared error of approximation (RMSEA), and the Tucker–Lewis index (TLI).15,16

Internal consistency (reliability) was measured by Cronbach’s alpha and associations between the factors were assessed by Pearson’s r. For each factor, the mean and standard deviation was computed for all items included in the factor.

Categorical demographic variables were summarised as frequencies and percentages. To compare mean factor scores in the demographic characteristics, the Student t-test or analysis of variance (ANOVA) was used when the variable had at least two groups. A P value <0.05 was considered statistically significant. Statistical analyses were performed with Stata (version 14).

Results

The surveyed physicians came mainly from Northern Italy (North 48.7%, Centre 14.9%, South and Islands 36.4%). Approximately one-third (37.4%) of them were aged 31–40 years, and slightly more than half were female (52.4%). Most of the physicians had been working for <10 years (56.5%), and almost 40% at the current place of work for <2 years.

Statistics

The EFA included the 172 subjects who had answered each of the items, meaning every single SAQ question, or the subset the authors decided to analyse by EFA (no Missing or Not Applicable data). Four factors were extracted:

  • Communication and Safety Climate (14 items);

  • Perceptions of Management (eight items);

  • Workload and Clinical Risk (six items); and

  • Burnout Risk (four items).

Therefore, there were 32 items in total (Table 1).

View this table:
Table 1. Factor loadings of the 32 items in the four factor structure

Table 2 shows the results of the CFA based on the factors extracted in the EFA. The model’s P value was <0.001, but the other indices showed an acceptable fit (CFI = 0.815, TLI = 0.799, RMSEA = 0.077). The KMO statistic was 0.843 and the Cronbach’s alphas ranged from 0.710–0.917, indicating an acceptable reliability. The four factors accounted for 68% of the total variance.

View this table:
Table 2. Results of CFA

The Pearson’s correlation (Table 3) was positive between the first and the second factor (r = 0.64, P<0.001), while the third factor showed a negative correlation with all three factors (r = −0.25 with factor one, r = −0.17 with factor two, r = −0.33 with factor three; all correlations had P<0.001).

View this table:
Table 3. Mean, SD score, and intercorrelations of the factors

The mean score in each factor was analysed (Table 4). For Communication and Safety Climate, the males’ mean score was significantly higher than the females’ mean score (3.47±0.79 versus 3.22±0.87; P = 0.002). Subjects in the 31–40 age group had a significantly lower factor mean score than younger and older subjects (3.07±0.81 in 31–40 years versus 3.56±0.74 in ≤30 years and 3.51±0.88 in >50 years; P<0.001). Subjects with more years of working experience had a significantly higher mean score than those with less experience (P = 0.01) and the mean scores increased significantly with the years spent at the same workplace (P<0.001).

View this table:
Table 4. Proportion of agreement and mean scores of each item in factor structure

Perceptions of Management showed similar results to those of the first factor. The score for males was higher than that for females (2.41±0.88 versus 2.20±0.88; P = 0.02). Subjects in the 31–40 age group had a significantly lower factor mean score than younger and older subjects (2.14±0.78 in 31–40 years versus 2.54±0.80 in ≤30 years, and 2.38±0.99 in >50 years; P = 0.02). Subjects with >20 years work in the same clinic had a higher mean score than subjects working fewer years (P = 0.03). For Burnout Risk the mean score was also higher in males than females (3.14±0.94 versus 2.96±0.91; P = 0.05). No significant differences were found in demographic variables in Workload and Clinical Risk. The variables occupation, work shift, and employment contract showed no significant differences for any factor.

In the Communication and Safety Climate and Perceptions of Management factors, the mean scores increased significantly with the years worked at the workplace (P<0.001 and P = 0.03, respectively). For the variables occupation, work shift, and employment contract, no significant differences were found for any factor (Table 5).

View this table:
Table 5. Mean score of factors and demographic characteristics

The interviewed personnel reported that there is insufficient staff to manage the patients, that there is not enough emphasis on training of new personnel, and that family medicine OOH trainees are usually not supervised. OOH management was perceived as distant, and a communication gap between service direction and doctors was reported. More than half of the responders (56.8%) reported that they did not receive adequate information about events in the office potentially affecting their work, nor did they receive adequate support for making diagnostic and therapeutic decisions.

Discussion

Summary

In this study PSC among Italian OOH doctors was investigated. The findings could be relevant to address the baseline perception of PSC in Italian OOH primary care and target the interventions needed to improve the service.

Strengths and limitations

Compared to other European experiences, for example a 43% response rate in the Netherlands or 57% in Slovenia,11,12 this study had a high response rate (71%).

The application of the SAQ to the OOH population presents several controversies and methodological weaknesses, mainly because findings were limited by the impossibility of analysing all the items. In the present study, 14 items were excluded because >20% of the answers were missing or 'Not applicable'. This is likely because of the Italian context and its work characteristics, which caused several 'Not applicable's, especially in the Teamwork climate factor. This could also have led to a construction of factors with different items from those of the Norwegian17 and Dutch11 studies.

Comparison with existing literature

Safety climate has been investigated in Italy in the hospital setting, using different tools and questionnaires,10,11,18–20 but never in the OOH primary care setting. PSC has been previously investigated in the OOH setting in Norway, Holland, and Slovenia. Although the content of four factors in the Norwegian,3,17,21 Dutch,11 Slovenian,12 and Italian factor structures bore similarities, several items loaded onto different factors compared to the other models

For comparison to the structure obtained in the other countries, the Norwegian factor structure consisted of five factors and covered 30 items,17 the Dutch five factors and 27 items,11,14 and the Slovenian five factors and 23 items.12,22 The aggregation of factors found in Italy and the characteristics of each factor are probably influenced by the peculiarity that OOH care is provided exclusively by OOH doctors, while in the other systems there is also the involvement of nurses — who were the main responders in the Norwegian17,21 and Dutch studies11 — and other healthcare professionals.

Notably, even if some factors had the same name across studies, the items included in the factors differ. The Perceptions of Management factor in the Netherlands11 and Italy have just four items in common. Some items are in common also with the Dutch11 and Norwegian17 models, while others were not eligible for factor analysis in the Italian setting, owing to its own characteristics (for example solo working, and having no other healthcare professionals involved in service delivery).

Implications for research and practice

The OOH doctors work in single-doctor or multiple-doctor OOH centres, without the support of other health professionals. They have basic diagnostic aids and therapeutic equipment. Some are close to or inside hospital or emergency ambulance services, while some are far from such institutions. Although OOH work should be reserved to qualified GPs, some of the doctors are newly qualified and have not specialised, owing to the shortage of GPs. The lack of supervision, scarce engagement of OOH doctors, and the difficulties in management could be overcome with organisational improvement. The educational needs of doctors working in the OOH service should be assessed and met. Mentoring, shadowing, and guiding newcomers to the service would be useful to solve educational needs, while strategies to cope with the impaired communication with staff management, through the implementation of regular dialogue meetings with managers that include audits, briefings, and debriefings at shifts and takeovers, could also improve PSC (that is, provider input).

This study, considering its limitations, shows the need for future research in the OOH settings that encompasses assessment of patient safety, perceptions of management, and even clinical risk in OOH, not to mention the potential early identification of the personnel at risk of burnout. The findings of the survey could be useful to improve OOH GPs' and OOH managers' knowledge of PSC, improve their attitude towards medical errors, and provide interventions, while enhancing consequently the quality of OOH primary care in Italy. Further research with validated tools and strategies to avoid the issue of non-responders and missing answers should inform Italian healthcare decisionmakers in addressing healthcare managers. Interventions on leadership and the development of policies on how managers can improve the safety culture could be effective strategies for the future organisation and efficacy of the OOH service.

Notes

Funding

There are no funders to report for this article.

Ethical approval

The study was conducted in compliance with the ethical guidelines of the Helsinki Declaration. The study protocol was approved with registration number 7545 by the Ethical Committee of Verona, the Italian coordinating centre in accordance of the Italian law on health care research.

Provenance

Freely submitted; externally peer reviewed.

Acknowledgments

The authors would like to thank Tommasa Maio, Silvestro Scotti, Stefano Leonardi and FIMMG, and Gianluca Marini and Movimento Giotto, for their support and efforts in the data collection.

Competing interests

The authors declare that no competing interests exist.

  • Received February 3, 2020.
  • Accepted March 23, 2020.

This article is Open Access: CC BY license (https://creativecommons.org/licenses/by/4.0/)

References

  1. 1.↵
    1. Buja A,
    2. Toffanin R,
    3. Rigon S,
    4. et al.
    (2016) Determinants of out-of-hours service users' potentially inappropriate referral or non-referral to an emergency department: a retrospective cohort study in a local health authority, Veneto region, Italy. BMJ Open 6(8), doi:10.1136/bmjopen-2016-011526, pmid:http://www.ncbi.nlm.nih.gov/pubmed/27503862. e011526.
    OpenUrlAbstract/FREE Full Text
  2. 2.↵
    1. Modak I,
    2. Sexton JB,
    3. Lux TR,
    4. et al.
    (2007) Measuring safety culture in the ambulatory setting: the safety attitudes questionnaire — ambulatory version. J Gen Intern Med 22(1):1–5, doi:10.1007/s11606-007-0114-7, pmid:17351834.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Bondevik GT,
    2. Hofoss D,
    3. Hansen EH,
    4. Deilkås ECT
    (2014) Patient safety culture in Norwegian primary care: a study in out-of-hours casualty clinics and GP practices. Scand J Prim Health Care 32(3):132–138, doi:10.3109/02813432.2014.962791, pmid:http://www.ncbi.nlm.nih.gov/pubmed/25263763.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Sorra J,
    2. Khanna K,
    3. Dyer N,
    4. et al.
    (2012) Exploring relationships between patient safety culture and patients' assessments of hospital care. J Patient Saf 8(3):131–139, doi:10.1097/PTS.0b013e318258ca46, pmid:http://www.ncbi.nlm.nih.gov/pubmed/22785344.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Klemenc-Ketiš Z,
    2. Deilkås ET,
    3. Hofoss D,
    4. Bondevik GT
    (2017) Patient safety culture in Slovenian out-of-hours primary care clinics. Zdr Varst 56(4):203–210, doi:10.1515/sjph-2017-0028, pmid:http://www.ncbi.nlm.nih.gov/pubmed/29062394.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Gandhi TK,
    2. Burstin HR,
    3. Cook EF,
    4. et al.
    (2000) Drug complications in outpatients. J Gen Intern Med 15(3):149–154, doi:10.1046/j.1525-1497.2000.04199.x, pmid:http://www.ncbi.nlm.nih.gov/pubmed/10718894.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Helmreich RL,
    2. Merritt AC,
    3. Sherman PJ
    (1996) Research project evaluates the effect of national culture on flight crew behaviour. ICAO J 51(8):14–16, pmid:11541833.
    OpenUrlPubMed
  8. 8.↵
    1. Thomas EJ,
    2. Sherwood GD,
    3. Helmreich RL
    (2003) Lessons from aviation: teamwork to improve patient safety. Nurs Econ 21(5):241–243, pmid:http://www.ncbi.nlm.nih.gov/pubmed/14618975.
    OpenUrlPubMed
  9. 9.↵
    1. Huibers L,
    2. Giesen P,
    3. Wensing M,
    4. Grol R
    (2009) Out-Of-Hours care in Western countries: assessment of different organizational models. BMC Health Serv Res 9, doi:10.1186/1472-6963-9-105, pmid:http://www.ncbi.nlm.nih.gov/pubmed/19549325. 105.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Nguyen G,
    2. Gambashidze N,
    3. Ilyas SA,
    4. Pascu D
    (2015) Validation of the safety attitudes questionnaire (short form 2006) in Italian in hospitals in the Northeast of Italy. BMC Health Serv Res 15, doi:10.1186/s12913-015-0951-8, pmid:http://www.ncbi.nlm.nih.gov/pubmed/26204957. 284.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Smits M,
    2. Keizer E,
    3. Giesen P,
    4. et al.
    (2017) The psychometric properties of the 'safety attitudes questionnaire' in out-of-hours primary care services in the Netherlands. PLoS One 12(2), doi:10.1371/journal.pone.0172390, pmid:http://www.ncbi.nlm.nih.gov/pubmed/28207909. e0172390.
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Klemenc-Ketis Z,
    2. Maletic M,
    3. Stropnik V,
    4. et al.
    (2017) The safety attitudes questionnaire - ambulatory version: psychometric properties of the Slovenian version for the out-of-hours primary care setting. BMC Health Serv Res 17(1), doi:10.1186/s12913-016-1972-7, pmid:http://www.ncbi.nlm.nih.gov/pubmed/28086919. 36.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Beaton DE,
    2. Bombardier C,
    3. Guillemin F,
    4. Ferraz MB
    (2000) Guidelines for the process of cross-cultural adaptation of self-report measures. Spine 25(24):3186–3191, doi:10.1097/00007632-200012150-00014, pmid:http://www.ncbi.nlm.nih.gov/pubmed/11124735.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Smits M,
    2. Keizer E,
    3. Giesen P,
    4. et al.
    (2018) Patient safety culture in out-of-hours primary care services in the Netherlands: a cross-sectional survey. Scand J Prim Health Care 36(1):28–35, doi:10.1080/02813432.2018.1426150, pmid:http://www.ncbi.nlm.nih.gov/pubmed/29334826.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Browne MW,
    2. Cudeck R
    (1992) Alternative ways of assessing model fit. Sociol Methods Res 21(2):230–258, doi:10.1177/0049124192021002005.
    OpenUrlCrossRef
  16. 16.↵
    1. Hooper D,,
    2. Coughlan J,,
    3. Mullen M.
    (2008.) 7th European Conference on Research Methodology for Business and Management Studies. (Regent’s College, London, United Kingdom.) Evaluating model fit: a synthesis of the structural equation modelling literature.
  17. 17.↵
    1. Bondevik GT,
    2. Hofoss D,
    3. Hansen EH,
    4. Deilkås ECT
    (2014) The safety attitudes questionnaire - ambulatory version: psychometric properties of the Norwegian translated version for the primary care setting. BMC Health Serv Res 14, doi:10.1186/1472-6963-14-139, pmid:http://www.ncbi.nlm.nih.gov/pubmed/24678764. 139.
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Bagnasco A,
    2. Tibaldi L,
    3. Chirone P,
    4. et al.
    (2011) Patient safety culture: an Italian experience. J Clin Nurs 20(7-8):1188–1195, doi:10.1111/j.1365-2702.2010.03377.x, pmid:http://www.ncbi.nlm.nih.gov/pubmed/21255167.
    OpenUrlCrossRefPubMed
  19. 19.
    1. Bruno A,
    2. Bracco F
    (2016) Promoting safety through well-being: an experience in healthcare. Front Psychol 7, doi:10.3389/fpsyg.2016.01208, pmid:http://www.ncbi.nlm.nih.gov/pubmed/27570515. 1208.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Tereanu C,
    2. Smith SA,
    3. Sampietro G,
    4. et al.
    (2017) Experimenting the hospital survey on patient safety culture in prevention facilities in Italy: psychometric properties. Int J Qual Health Care 29(2):269–275, doi:10.1093/intqhc/mzx014, pmid:http://www.ncbi.nlm.nih.gov/pubmed/28453829.
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Deilkås ECT,
    2. Hofoss D,
    3. Hansen EH,
    4. Bondevik GT
    (2019) Variation in staff perceptions of patient safety climate across work sites in Norwegian general practitioner practices and out-of-hour clinics. PLoS One 14(4), doi:10.1371/journal.pone.0214914, pmid:http://www.ncbi.nlm.nih.gov/pubmed/30970041. e0214914.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Klemenc-Ketis Z,
    2. Deilkås ET,
    3. Hofoss D,
    4. Bondevik GT
    (2017) Variations in patient safety climate and perceived quality of collaboration between professions in out-of-hours care. J Multidiscip Healthc 10:417–423, doi:10.2147/JMDH.S149011, pmid:http://www.ncbi.nlm.nih.gov/pubmed/29184416.
    OpenUrlCrossRefPubMed
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BJGP Open
Vol. 4, Issue 5
December 2020
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Patient safety culture in Italian out-of-hours primary care service: a national cross-sectional survey study
Jacopo Demurtas, Pierpaolo Marchetti, Alberto Vaona, Nicola Veronese, Stefano Celotto, Ellen Catharina Deilkås, Dag Hofoss, Gunnar Tschudi Bondevik
BJGP Open 2020; 4 (5): bjgpopen20X101098. DOI: 10.3399/bjgpopen20X101098
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British Journal of General Practice