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Who attends out-of-hours general practice appointments? Analysis of a patient cohort accessing new out-of-hours units.

ABSTRACT: OBJECTIVES:This report describes the patients who used additional out-of-hours (OOH) appointments offered through a UK scheme intended to increase patient access to primary care by extending OOH provision. DESIGN:Cohort study and survey data. SETTING:OOH appointments offered in four units in one region in England (October 2015 to November 2016). METHODS:Unidentifiable data on all patients were abstracted from a bespoke appointment system and the responses to a patient opinion questionnaire about this service. Descriptive analysis of the appointment data was conducted. Multivariate analysis of the opinion survey data examined the characteristics of the patients who would have gone to the emergency department (ED) had the OOH appointments not been available. RESULTS:There were 24?448 appointments for 19?701 different patients resulting in 29?629 service outcomes. Women dominated the uptake and patients from the poorest fifth of the population used nearly 40% of appointments. The patient survey found OOH appointments were extremely popular-93% selecting 'extremely likely' or 'likely' to recommend the service. Multivariate analysis of patient opinion survey data on whether ED would have been an alternative to the OOH service found that men, young children, people of Asian heritage and the most deprived were more likely to have gone to ED without this service. CONCLUSIONS:The users of the OOH service were substantially different from in-hours service users with a large proportion of children under age 5, and the poor, which support the idea that there may be unmet need as the poor have the least flexible working conditions. These results demonstrate the need for equality impact assessment in planning service improvements associated with policy implementation. It suggests that OOH need to take account of patients expectations about convenience of appointments and how patients use services for urgent care needs.

SUBMITTER: Kelly SJ

PROVIDER: S-EPMC6009516 | biostudies-other | 2018 Jun

REPOSITORIES: biostudies-other

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Who attends out-of-hours general practice appointments? Analysis of a patient cohort accessing new out-of-hours units.

Kelly Shona J SJ Piercy Hilary H Ibbotson Rachel R Fowler Davis Sally V SV

BMJ open 20180609 6

<h4>Objectives</h4>This report describes the patients who used additional out-of-hours (OOH) appointments offered through a UK scheme intended to increase patient access to primary care by extending OOH provision.<h4>Design</h4>Cohort study and survey data.<h4>Setting</h4>OOH appointments offered in four units in one region in England (October 2015 to November 2016).<h4>Methods</h4>Unidentifiable data on all patients were abstracted from a bespoke appointment system and the responses to a patien ...[more]

PMID: 29886444

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Project description:ObjectivesAre multiple missed appointments in general practice associated with increased use of hospital services and missingness from hospital care? This novel study explores this in a population representative sample for the first time.Design, setting, participantsA large, retrospective cohort (n = 824,374) of patient records from a nationally representative sample of GP practices, Scotland, 2013-2016. Requested data were extracted by a Trusted Third Party for the NHS, anonymised and linked to a unique patient ID, in the NHS Safehaven for analysis using established NHS Scotland linkage. We calculated the per-patient number of GP missed appointments from individual appointments and investigated the likelihood of hospital appointment or admission outcomes using a negative binomial model offset by number of GP appointments made. These models also controlled for age, sex, Scottish Index of Multiple Deprivation (SIMD) and number of long- term conditions (LTCs).Main outcome measuresHospital attendance: Outpatient clinic attendances; hospital admissions; Emergency Department (ED) attendances. Hospital missingness: 'Did not attend' (DNAs) outpatient clinic appointments, 'irregular discharges' from admissions, and 'left before care completed' ED care episodes.ResultsAttendance: Patients in the high missed GP appointment (HMA) category were higher users of outpatient services (rate ratio (RR) 1.90, 95% confidence intervals (CI) 1.88-1.93) compared to those who missed none (NMA) with a much higher attendance risk at mental health services (RR 4.56, 95% CI 4.31-4.83). HMA patients were more likely to be admitted to hospital; general admissions (RR 1.67, 95% CI 1.65-1.68), maternity (RR 1.24, 95% CI 1.20-1.28) and mental health (RR 1.23, 95% CI 1.15-1.31), compared to NMA patients. Missing GP appointments was not associated with ED attendance; (RR 1.00, CI 0.99-1.01). Missingness: HMA patients were at greater risk of missing outpatient appointments (RR 1.62, 95% CI 1.60-1.64) than NMA patients; with a much higher risk of non-attendance at mental health services (RR 7.83, 95% CI 7.35-8.35). Patients were more likely to leave hospital before their care plan was completed-taking 'irregular discharges' (RR 4.56, 95% CI 4.31-4.81). HMA patients were no more at risk of leaving emergency departments 'without care being completed' (RR1.02, 95 CI 0.95-1.09).ConclusionsPatients who miss high numbers of GP appointments are higher users of outpatient and inpatient hospital care but not of emergency departments, signalling high treatment burden. The pattern of 'missingness' is consistent from primary care to hospital care: patients who have patterns of missing GP appointments have patterns of missing many outpatient appointments and are more likely to experience 'irregular discharge' from in-patient care. Missingness from outpatient mental health services is very high. Policymakers, health service planners and clinicians should consider the role and contribution of 'missingness' in health care to improving patient safety and care.

Project description:BackgroundRepeated studies of working hours among Norwegian regular general practitioners (RGPs) have shown that the average total number of weekly working hours has remained unchanged since 1994 and up until 2014. For both male and female RGPs, the mean total weekly working hours amounted to almost 50 h in 2014. In recent years, Norwegian RGPs have become increasingly dissatisfied. They experience significantly increased workload without compensation in the form of more doctors or better payment. A study from the Norwegian Directorate of Health in 2018 (the RGP study) showed that Norwegian RGPs worked 55.6 h weekly (median 52.5). 25% of the respondents worked more than 62.2 h weekly. Based on data from the RGP study we investigated Norwegian RGP's out-of-hours (OOH) work, how the working time was distributed, and to what extent the OOH work affected the regular working hours.MethodsIn early 2018, an electronic survey was sent to all 4640 RGPs in Norway. Each RGP reported how many minutes that were spent that particular day on various tasks during seven consecutive days. Working time also included additional tasks in the municipality, other professional medical work and OOH primary health care. Differences were analysed by independent t-tests, and regression analyses.ResultsOne thousand eighty hundred seventy-six RGPs (40.4%) responded, 640 (34.1%) had registered OOH work. Male RGPs worked on average 1.5 h more doing regular work than did females (p = 0.001) and on average 2.3 h more OOH work than females (p = 0.079). RGPs with no OOH work registered a mean of 1.0 h more clinical work than RGPs working OOH (p = 0.043). There was a large variation in OOH working hours. A linear regression analysis showed that male RGPs and RGPs in rural areas had the heaviest OOH workload.ConclusionsOne in three Norwegian RGPs undertook OOH work during the registration week in the RGP study. OOH work was done in addition to a sizeable regular workload as an RGP. We found small gender differences. OOH work was not compensated with reduced regular RGP work.

Project description:BackgroundIncreasingly, nurse practitioners (NPs) are deployed in teams along with general practitioners (GPs) to help meet the demand for out-of-hours care. The purpose of this study was to explore factors influencing collaboration between GPs and NPs in teams working out-of-hours.MethodsA descriptive qualitative study was done using a total of 27 semi-structured interviews and two focus group discussions. Data was collected between June, 2014 and October, 2015 at an out-of-hours primary care organisation in the Netherlands. Overall, 38 health professionals (GPs, NPs, and support staff) participated in the study. The interviews were audio-taped and transcribed verbatim. Two researchers conducted an inductive content analysis, involving the identification of relevant items in a first phase and clustering into themes in a second phase.ResultsThe following four themes emerged from the data: clarity of NP role and regulation, shared caseload and use of skills, communication concerning professional roles, trust and support in NP practice. Main factors influencing collaboration between GPs and NPs included a lack of knowledge regarding the NPs' scope of practice and regulations governing NP role; differences in teams in sharing caseload and using each other's skills effectively; varying support of GPs for the NP role; and limited communication between GPs and NPs regarding professional roles during the shift. Lack of collaboration was perceived to result in an increased risk of delay for patients who needed treatment from a GP, especially in teams with more NPs. Collaboration was not perceived to improve over time as teams varied across shifts.ConclusionIn out-of-hours primary care teams constantly change and team members are often unfamiliar with each other or other's competences. In this environment, knowledge and communication about team members' roles is continuously at stake. Especially in teams with more NPs, team members need to use each other's skills to deliver care to all patients on time.

Dataset Information

Who attends out-of-hours general practice appointments? Analysis of a patient cohort accessing new out-of-hours units.

Publications

Who attends out-of-hours general practice appointments? Analysis of a patient cohort accessing new out-of-hours units.

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