Ambulatory care sensitive conditions: terminology and disease coding need to be more specific to aid policy makers and clinicians

Purdy, Sarah; Griffin, TP; Salisbury, Chris; Sharp, Deborah

doi:10.1016/j.puhe.2008.11.001

Cited by 348 publications

(409 citation statements)

References 8 publications

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“…The first is a measure of the quality of practice disease management: the practice's total annual emergency admission rate for ambulatory care sensitive conditions (ACSCs), listed in Table C2. ACSCs are conditions for which good quality management in general practice should prevent emergency admissions for complications (Agency for Healthcare Quality and Research, 2007; Purdy et al ., 2009). ACSCs admission rates are used as measures of access to good quality primary care in many healthcare systems.…”

Section: Alternative Measuresmentioning

confidence: 99%

Does Quality Affect Patients’ Choice of Doctor? Evidence from England

Santos

Gravelle

Propper

2016

Econ J

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Reforms giving users of public services choice of provider aim to improve quality. But such reforms will work only if quality affects choice of provider. We test this crucial prerequisite in the English health care market by examining the choice of 3.4 million individuals of family doctor. Family doctor practices provide primary care and control access to non‐emergency hospital care, the quality of their clinical care is measured and published and care is free. In this setting, clinical quality should affect choice. We find that a 1 standard deviation increase in clinical quality would increase practice size by around 17%.

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Section: Alternative Measuresmentioning

confidence: 99%

Does Quality Affect Patients’ Choice of Doctor? Evidence from England

Santos

Gravelle

Propper

2016

Econ J

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“…There are various definitions 34 but the King's Fund list is the most frequently used in England. 22 There is some overlap between these 19 ACSCs and our 14 conditions (indicated by * below):…”

Section: Standardised Avoidable Admissions Rate and Ambulatory Emergementioning

confidence: 99%

Explaining variation in emergency admissions: a mixed-methods study of emergency and urgent care systems

O’Cathain

Knowles

Turner

et al. 2014

Health Services and Delivery Research

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BackgroundRecent increases in emergency admission rates have caused concern. Some emergency admissions may be avoidable if services in the emergency and urgent care system are available and accessible. A set of 14 conditions, likely to be rich in avoidable emergency admissions, was identified by expert consensus.ObjectiveWe aimed to understand variation in avoidable emergency admissions between different emergency and urgent care systems in England.MethodsThe design was a sequential mixed-methods study in three phases. In phase 1 we calculated an age- and sex-adjusted avoidable admission rate for 2008–11. We located routine data on characteristics of emergency and urgent care systems and used linear regression to explain variation in avoidable admissions rates in 150 systems. In phase 2 we undertook in-depth case studies in six systems to identify further factors. A key part of these case studies was interviews with commissioners, service providers and patient representatives, totalling 82 interviews. In phase 3 we returned to the linear regression to test further factors identified in the case studies.ResultsThe 14 conditions accounted for 3,273,395 admissions in 2008–11 (22% of all emergency admissions). The mean age- and sex-adjusted admission rate was 2258 per year per 100,000 population, with a 3.4-fold variation between systems (1268–4359). Characteristics of the population explained the majority of variation: deprivation explained 72% of variation, with urban/rural status explaining 3% more. Systems serving populations with high levels of deprivation and in urban areas had high rates of potentially avoidable admissions. Interviewees described the complexity of deprivation, representing high levels of morbidity, low awareness of alternative services to emergency departments and high expressed need for immediate access to urgent care. Factors related to emergency departments (EDs), hospitals, emergency ambulance services and general practice explained a further 10% of variation in avoidable admissions. Systems with high, potentially avoidable, admission rates had high rates of acute beds (suggesting supply-induced demand), high rates of attendance at EDs (which have been associated with poor perceived access to general practice), high rates of conversion from ED attendances to admissions, and low rates of non-transport to emergency departments by emergency ambulances. The six case studies revealed further possible explanations of variation: there was variation in how hospitals coded admissions; some systems focused proactively on admission avoidance whereas others were more interested in hospital discharge, for example use of multidisciplinary teams based at acute trusts; there were different levels of integration between different services such as health and social care, and acute and community trusts; and some systems faced more challenging problems around geographical boundaries operating for different services in the system. Interviewees often described admission as the easy or safe option.ConclusionsDeprivation explained most of the variation in avoidable admission rates. Research is needed to understand the complex relationship between deprivation and avoidable admission, and to develop interventions tailored to avoid admissions from deprived communities. Standardisation of coding of admissions would reduce variation.FundingThe National Institute for Health Research Health Service and Research Delivery programme.

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“…41 These admissions are thought to be potentially preventable with better clinical management in primary care. There is some variation in how ACSCs are explicitly defined, 42 particularly as they were originally developed in the USA. 43 However, most definitions will include a combination of conditions for which acute management should prevent an admission (e.g.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of the effectiveness of annual health checks and quality of health care for adults with intellectual disability: an observational study using a primary care database

Carey

Hosking

Harris

et al. 2017

Health Serv Deliv Res

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Background People with intellectual disability (ID) have poorer health than the general population; however, there is a lack of comprehensive national data describing their health-care needs and utilisation. Annual health checks for adults with ID have been incentivised through primary care since 2009, but only half of those eligible for such a health check receive one. It is unclear what impact health checks have had on important health outcomes, such as emergency hospitalisation. Objectives To evaluate whether or not annual health checks for adults with ID have reduced emergency hospitalisation, and to describe health, health care and mortality for adults with ID. Design A retrospective matched cohort study using primary care data linked to national hospital admissions and mortality data sets. Setting A total of 451 English general practices contributing data to Clinical Practice Research Datalink (CPRD). Participants A total of 21,859 adults with ID compared with 152,846 age-, gender- and practice-matched controls without ID registered during 2009–13. Interventions None. Main outcome measures Emergency hospital admissions. Other outcomes – preventable admissions for ambulatory care sensitive conditions, and mortality. Data sources CPRD, Hospital Episodes Statistics and Office for National Statistics. Results Compared with the general population, adults with ID had higher levels of recorded comorbidity and were more likely to consult in primary care. However, they were less likely to have long doctor consultations, and had lower continuity of care. They had higher mortality rates [hazard ratio (HR) 3.6, 95% confidence interval (CI) 3.3 to 3.9], with 37.0% of deaths classified as being amenable to health-care intervention (HR 5.9, 95% CI 5.1 to 6.8). They were more likely to have emergency hospital admissions [incidence rate ratio (IRR) 2.82, 95% CI 2.66 to 2.98], with 33.7% deemed preventable compared with 17.3% in controls (IRR 5.62, 95% CI 5.14 to 6.13). Health checks for adults with ID had no effect on overall emergency admissions compared with controls (IRR 0.96, 95% CI 0.87 to 1.07), although there was a relative reduction in emergency admissions for ambulatory care-sensitive conditions (IRR 0.82, 95% CI 0.69 to 0.99). Practices with high health check participation also showed a relative fall in preventable emergency admissions for their patients with ID, compared with practices with minimal participation (IRR 0.73, 95% CI 0.57 to 0.95). There were large variations in the health check-related content that was recorded on electronic records. Limitations Patients with milder ID not known to health services were not identified. We could not comment on the quality of health checks. Conclusions Compared with the general population, adults with ID have more chronic diseases and greater primary and secondary care utilisation. With more than one-third of deaths potentially amenable to health-care interventions, improvements in access to, and quality of, health care are required. In primary care, better continuity of care and longer appointment times are important examples that we identified. Although annual health checks can also improve access, not every eligible adult with ID receives one, and health check content varies by practice. Health checks had no impact on overall emergency admissions, but they appeared influential in reducing preventable emergency admissions. Future work No formal cost-effectiveness analysis of annual health checks was performed, but this could be attempted in relation to our estimates of a reduction in preventable emergency admissions. Funding The National Institute for Health Research Health Services and Delivery Research programme.

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Ambulatory care sensitive conditions: terminology and disease coding need to be more specific to aid policy makers and clinicians

Cited by 348 publications

References 8 publications

Does Quality Affect Patients’ Choice of Doctor? Evidence from England

Does Quality Affect Patients’ Choice of Doctor? Evidence from England

Explaining variation in emergency admissions: a mixed-methods study of emergency and urgent care systems

An evaluation of the effectiveness of annual health checks and quality of health care for adults with intellectual disability: an observational study using a primary care database

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