Primary care supply and quality of care in England

Vallejo-Torres, Laura; Morris, Stephen

doi:10.1007/s10198-017-0898-2

Cited by 24 publications

(23 citation statements)

References 35 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…6,7,10,[15][16][17][18][19] Moreover, GP supply has been linked to health-outcome measures, including mortality rates, self-reported health, and life expectancy, even after controlling for sociodemographic measures. [20][21][22][23][24][25][26][27] The NHS Long Term Plan, published in 2019, emphasised the importance of general practice services and established PCNs, or groups of neighbouring practices that enable economies of scale and integrated care. 28 PCNs were to boost the primary care workforce through the Additional Roles Reimbursement Scheme (ARRS), which guaranteed financial resources to recruit specified additional roles such as pharmacists, PAs, and paramedics into general practices.…”

Section: Introductionmentioning

confidence: 99%

Inequalities in the distribution of the general practice workforce in England: a practice-level longitudinal analysis

et al. 2021

View full text Add to dashboard Cite

BackgroundIn England, demand for primary care services is increasing and GP shortages are widespread. Recently introduced primary care networks (PCNs) aim to expand the use of additional practice-based roles such as physician associates (PAs), pharmacists, paramedics, and others through financial incentives for recruitment of these roles. Inequalities in general practice, including additional roles, have not been examined in recent years, which is a meaningful gap in the literature. Previous research has found that workforce inequalities are associated with health outcome inequalities.AimTo examine recent trends in general practice workforce inequalities.Design & settingA longitudinal study using quarterly General Practice Workforce datasets from 2015–2020 in England.MethodThe slope indices of inequality (SIIs) for GPs, nurses, total direct patient care (DPC) staff, PAs, pharmacists, and paramedics per 10 000 patients were calculated quarterly, and plotted over time, with and without adjustment for patient need.ResultsFewer GPs, total DPC staff, and paramedics per 10 000 patients were employed in more deprived areas. Conversely, more PAs and pharmacists per 10 000 patients were employed in more deprived areas. With the exception of total DPC staff, these observed inequalities widened over time. The unadjusted analysis showed more nurses per 10 000 patients employed in more deprived areas. These values were not significant after adjustment but approached a more equal or pro-poor distribution over time.ConclusionSignificant workforce inequalities exist and are even increasing for several key general practice roles, with workforce shortages disproportionately affecting more deprived areas. Policy solutions are urgently needed to ensure an equitably distributed workforce and reduce health inequities.

show abstract

Section: Introductionmentioning

confidence: 99%

Inequalities in the distribution of the general practice workforce in England: a practice-level longitudinal analysis

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Previous studies of inequalities in general practice 11,12,13,14,15 have looked at the relationship between primary care supply (often in terms of the number of GPs), access (eg the number and type of appointment), and quality of care. In order to form a rounded view of general practice we look across the following areas:…”

Section: Introductionmentioning

confidence: 99%

Level or not?

Fisher¹,

Dunn²,

Gershlick³

et al. 2020

View full text Add to dashboard Cite

• GP practices serving more socioeconomically deprived patient populations receive similar funding per registered patient to those serving less deprived patient populations. Once these populations are adjusted to account for increased workload associated with greater health needs in poorer areas, practices serving more deprived populations receive around 7% less funding per need adjusted * registered patient than those serving less deprived populations. * Measuring health need directly is not possible. In our analysis we use workload as a proxy for need. This has limitations, but is consistent with the methodology used in the Carr-Hill resource allocation formula for general practice. Briefing: Level or not? 2 • GP practices serving more deprived patient populations on average earn fewer quality and outcomes framework (QOF) points, have worse Care Quality Commission (CQC) ratings and lower patient satisfaction scores than practices serving less deprived populations. These measures of assessing quality may themselves be affected by deprivation (for example increased patient deprivation may make it harder to achieve high QOF scores). Further research is needed across other aspects of quality to explore whether patients living in more deprived areas receive a systematically lower quality of care.

show abstract

“…The Finnish healthcare system is faced with similar challenges with GPs in addition to high turnover among primary care physician [11]. The quantity and quality of GPs workforce are related to the effectiveness and quality of health care delivery [12], thus, shortage of GPs in the CHS of China threatens the provision of quality health care.…”

Section: Introductionmentioning

confidence: 99%

Analysis on professional identity and related factors among Chinese general practitioners: a National Cross-sectional Study

Gan

Yang

et al. 2020

BMC Fam Pract

View full text Add to dashboard Cite

Background: Studies on professional identity and related factors among Chinese general practitioners (GPs) are unavailable. The objective of this study was to investigate the professional identity level of GPs in China and explore factors associated with GPs' perceptions of their professional identity. Methods: A multistage stratified random sampling method was used to collect data with a structured selfadministered questionnaire from 3236 GPs working in community health service institutions (CHIs) in China between October, 2017 and February, 2018. Professional identity was measured by the 13 items scale. Descriptive statistics were calculated and groups' differences were estimated using nonparametric tests. Multiple linear stepwise regression analysis was used to analyze factors associated with professional identity among GPs. Results: Based on a total score of 65 on the professional identity scale, the average score for GPs' professional identity was 51.23 (SD = 6.56). Multiple linear stepwise regression analysis showed that GPs who practiced in Central China, with an administrative responsibility, at a moderate or higher income level, who frequently worked overtime, had more occupational development opportunities, with a higher level of job satisfaction and older GPs had higher levels of professional identity. Conclusions: Professional identity level among GPs in China is high. Region, administrative responsibility, income level, working overtime, occupational development opportunities, age, and job satisfaction were significant predictors of professional identity.

show abstract

Primary care supply and quality of care in England

Cited by 24 publications

References 35 publications

Inequalities in the distribution of the general practice workforce in England: a practice-level longitudinal analysis

Inequalities in the distribution of the general practice workforce in England: a practice-level longitudinal analysis

Level or not?

Analysis on professional identity and related factors among Chinese general practitioners: a National Cross-sectional Study

Contact Info

Product

Resources

About