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      Exploration of population and practice characteristics explaining differences between practices in the proportion of hospital admissions that are emergencies

      research-article
      1 , 2 ,
      BMC Family Practice
      BioMed Central
      Primary care, Health services, Health planning

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          Abstract

          Background

          Emergency (unscheduled) and elective (scheduled) use of secondary care varies between practices. Past studies have described factors associated with the number of emergency admissions; however, high quality care of chronic conditions, which might include increased specialist referrals, could be followed by reduced unscheduled care. We sought to characterise practices according to the proportion of total hospital admissions that were emergency admissions, and identify predictors of this proportion.

          Method

          The study included 229 general practices in Leicestershire, Northamptonshire and Rutland, England. Publicly available data were obtained on scheduled and unscheduled secondary care usage, and on practice and patient characteristics: age; gender; list size; observed prevalence, expected prevalence and the prevalence gap of coronary heart disease, hypertension and stroke; deprivation; headcount number of GPs per 1000 patients; total and clinical quality and outcomes framework (QOF) scores; ethnicity; proportion of patients seen within two days by a GP; proportion able to see their preferred GP. Using the proportion of admissions that were emergency admissions, seven categories of practices were created, and a regression analysis was undertaken to identify predictors of the proportion.

          Results

          In univariate analysis, practices with higher proportions of admissions that were emergencies tended to have fewer older patients, higher proportions of male patients, fewer white patients, greater levels of deprivation, smaller list sizes, lower recorded prevalence of coronary heart disease and stroke, a bigger gap between the expected and recorded levels of stroke, and lower proportions of total and clinical QOF points achieved. In the multivariate regression, higher deprivation, fewer white patients, more male patients, lower recorded prevalence of hypertension, more outpatient appointments, and smaller practice list size were associated with higher proportions of total admissions being emergencies.

          Conclusion

          In monitoring use of secondary care services, the role of population characteristics in determining levels of use is important, but so too is the ability of practices to meet the demands for care that face them. The level of resources, and the way in which available resources are used, are likely to be key in determining whether a practice is able to meet the health care needs of its patients.

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          Most cited references10

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          Quality of primary care in England with the introduction of pay for performance.

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            Variation in GP referral rates: what can we learn from the literature?

            Variations in referral rates exist, at GP and practice level. Although the National Institute for Clinical Excellence is to produce referral guidelines, it is unclear if this variation requires regulation. A critical review of the literature on variation in referral rates was undertaken to see if existing evidence could inform the debate. The aim of this study was to describe the variation in referral rates; to identify likely explanatory variables; and to describe the effect of GPs' decision making on the referral process. Six bibliographic databases, the Cochrane Library, the NHS Centre for Reviews and Dissemination, and the National Research Register were searched. Patient characteristics explain <40% of the observed variation; practice and GP characteristics <10%. The availability of specialist care does affect referral rates, but its influence on the observed variation of referral rates is not known. Intrinsic psychological variables are important. GPs who are less tolerant of uncertainty or who perceive serious disease to be a more frequent event may refer more patients. There is a lack of consensus about what constitutes an appropriate referral, and the use of guidelines has had only limited success in altering referral behaviour. Variation in referral rates remains largely unexplained. Targeting high or low referrers through clinical guidelines may not be the issue. Rather, activity should concentrate on increasing the number of appropriate referrals, regardless of the referral rate. Pressure on GPs to review their referral behaviour through the use of guidelines may reduce their willingness to tolerate uncertainty and manage problems in primary care, resulting in an increase in referrals to secondary care. The use of referral rates to stimulate dialogue and joint working between primary and secondary care may be more appropriate.
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              Availability of primary care doctors and population health in England: is there an association?

              In the United States, an association has been proposed between better access to primary care and lower mortality. This paper reports an ecological analysis that evaluated whether population health was associated with general practitioner (GP) supply in England. Data were analysed for 99 health authorities in England in 1999. Health outcomes included standardized mortality ratios, infant mortality rate (per 1,000), hospital admissions with acute and chronic conditions (per 100,000), and teenage conception rates (per 1,000). The number of GPs per 10,000 population was included as explanatory variable. Confounders included the Townsend deprivation score, proportion of ethnic minorities, proportion in social classes IV and V, and proportion with limiting long-term illness. Analyses were by linear regression weighted for population size. Higher GP supply was associated with lower mortality in univariate analyses. After adjusting for deprivation score, ethnic group and social class, the standardized mortality ratio for all-cause mortality at 15-64 years decreased by -5.2 (95 per cent confidence interval -8.3 to -2.0, p = 0.002) per unit increase in GP supply. After additional adjustment for limiting long-term illness, the decrease was -3.3 (-6.7 to 0.1, p = 0.060). In the fully adjusted model, each unit increase in GP supply was associated with a decrease in hospital admission rates for acute conditions (-14.4, -21.4 to -7.4 per 100,000, p < 0.001) and chronic conditions (-10.6, -17.2 to -4.0, p = 0.002). In England, lower supply of GPs was associated with increased hospital utilization, but a strong univariate association with mortality might be explained by confounding.
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                Author and article information

                Contributors
                Journal
                BMC Fam Pract
                BMC Fam Pract
                BMC Family Practice
                BioMed Central
                1471-2296
                2014
                21 May 2014
                : 15
                : 101
                Affiliations
                [1 ]FY1 in ITU at Nevill Hall hospital, Cardiff, Wales, UK
                [2 ]Department of Health Sciences, University of Leicester, 22-28 Princess Rd West, LE1 6TP, Leicester, UK
                Article
                1471-2296-15-101
                10.1186/1471-2296-15-101
                4037431
                24884797
                3d2b2399-c2a1-4fa7-961b-d4963641da06
                Copyright © 2014 Wiseman and Baker; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

                History
                : 6 June 2013
                : 14 May 2014
                Categories
                Research Article

                Medicine
                primary care,health services,health planning
                Medicine
                primary care, health services, health planning

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