| Literature DB >> 31888614 |
Giacomo Scaioli1, Willemijn L A Schäfer2, Wienke G W Boerma3, Peter Spreeuwenberg3, Michael van den Berg4, François G Schellevis3,5, Peter P Groenewegen6,7,8.
Abstract
BACKGROUND: Poor communication between general practitioners (GPs) and medical specialists can lead to poorer quality, and continuity, of care. Our study aims to assess patients' perceptions of communication at the interface between primary and secondary care in 34 countries. It will analyse, too, whether this communication is associated with the organisation of primary care within a country, and with the characteristics of GPs and their patients.Entities:
Keywords: Communication; Patient views; Primary care; Referrals; Secondary care
Mesh:
Year: 2019 PMID: 31888614 PMCID: PMC6937702 DOI: 10.1186/s12913-019-4848-9
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Visual model: features that potentially influence patients’ perspective of communication between GPs and medical specialists
Characteristics of patients, primary care practices, GPs and countries included in the study
| Gender (percentage female) | 61.0 |
| Age (mean ± SDa) | 51.0 ± 17.4 |
| Income (percentage, compared to the average of the country) | |
| Below average | 30.8 |
| Around average | 56.9 |
| Above average | 12.3 |
| Perceived health status (percentages) | |
| Poor | 8.8 |
| Fair | 30.7 |
| Good | 46.2 |
| Very good | 14.3 |
| Presence of at least one longstanding disease (percentage yes) | 49.9 |
| Patients with a personal doctor (percentage yes) | 95.7 |
| Gender of GPs (percentage female) | 52.2 |
| Age of GPs (mean ± SDa) | 50.3 ± 9.6 |
| Practice location (percentages) | |
| Big (inner)city | 31.8 |
| Suburbs or small town | 34.6 |
| Mixed urban-rural or rural | 33.4 |
| Employment status (percentages) | |
| Salaried | 33.7 |
| Self-employed | 65.4 |
| Mixed | 0.9 |
| Frequency of referral letters sent to medical specialists by GPs (percentage) | |
| For all the patients who they refer | 64.9 |
| For most patients who they refer | 20.8 |
| For a minority of patients who they refer | 7.8 |
| Seldom or never | 6.5 |
| Frequency of feedback received from medical specialists (percentage) | |
| Always, or almost always | 38.1 |
| Usually | 35.8 |
| Occasionally | 14.4 |
| Seldom or never | 11.7 |
| Score of job satisfaction of GPs, range 1–4 (mean ± SDa) | 2.5 ± 0.5 |
| List system in place (percentage yes) | 52.9 |
aSD Standard Deviation
Fig. 2Percentages of patients who agreed, and disagreed, with the statement: “When I am referred, my GP informs the medical specialist about my illness”, by country, numbers between brackets
Fig. 3Percentages of patients who agreed, and disagreed, with the statement: “After treatment by a medical specialist, my GP knows the results”, by country, numbers between brackets
Factors related to rates of patients’ perception of communication from GPs to medical specialists about their illness when they are referred (multi-response logistic multilevel analysis)
| Ncountries = 34 | Odds Ratioa | (CI) |
|---|---|---|
| The patient has a personal doctor | 1.99 | (1.67, 2.36) |
| Frequency of referral letters sent to medical specialists by GPs (ref. more than ‘seldom or never’) | ||
| Seldom or never | 0.75 | (0.64, 0.87) |
| Score of job satisfaction of GPs | 1.1 | (1.00, 1.22) |
| List system in place | 0.76 | (0.41, 1.41) |
| Variance country level | 1.79 | |
| Variance GP level | 1.88 | |
| Percentage of reduction of variance (Country level)b | 4.2% | |
| Percentage of reduction of variance (GP level)c | 0.7% | |
| Intraclass correlation (ICC) country level | 26% | |
| Intraclass correlation (ICC) GP level | 27% | |
CI 95% confidence interval
aadjusted also for age and gender of GPs, practice location, employment status of GPs, age and gender of patients, income of patients, perceived health status of patients and presence of at least one longstanding disease
bthis percentage was calculated by using the variance at a country level of the initial model (variance initial model =1.88)
cthis percentage was calculated by using the variance at a GP level of the initial model (variance initial model =1.90)
Factors related to patients’ perception of receipt, by GPs, of results of treatment carried out by medical specialists in 34 countries (multi-response logistic multilevel analysis)
| Ni = 34 countries | Odds Ratioa | (CI) |
|---|---|---|
| The patient has a personal doctor | 2.30 | (1.91, 2.75) |
| Frequency of referral letters sent to medical specialists by GPs (ref. more than ‘seldom or never’) | ||
| Seldom or never | 0.83 | (0.72, 0.95) |
| Score of job satisfaction of GPs | 1.11 | (1.00, 1.24) |
| List system in place | 1.31 | (0.85, 2.03) |
| Variance Country level (SE) | 1.03 | |
| Variance GP level (SE) | 1.71 | |
| Percentage of reduction of variance (Country level)b | 12% | |
| Percentage of reduction of variance (GP level)c | 0.5% | |
| Intraclass correlation (ICC) country level | 17% | |
| Intraclass correlation (ICC) GP level | 28% | |
CI 95% confidence interval
aadjusted also for age and gender of GPs, practice location, employment status of GPs, age and gender of patients, income of patients, perceived health status of patients, and presence of at least one longstanding disease
bthis percentage was calculated by using the variance at a country level of the empty model (variance empty model =1.18)
cthis percentage was calculated by using the variance at a country level of the empty model (variance empty model =1.72)