Quality of primary care and hospital admissions for diabetes mellitus in England

Performing up to Nordic principles? Geographic and socioeconomic equity in ambulatory care sensitive conditions among older adults in capital areas of Denmark, Finland and Sweden in 2000-2015

BACKGROUND

Denmark, Finland and Sweden pursue equity in health for their citizens through universal health care. However, it is unclear if these services reach the older adult population equally across different socioeconomic positions or living areas. Thus, we assessed geographic and socioeconomic equity in primary health care (PHC) performance among the older adults in the capital areas of Denmark (Copenhagen), Finland (Helsinki) and Sweden (Stockholm) in 2000-2015. Hospitalisations for ambulatory care sensitive conditions (ACSC) were applied as a proxy for PHC performance.

METHODS

We acquired individual level ACSCs for those aged ≥ 45 in 2000-2015 from national hospitalisation registers. To identify whether the disparities varied by age, we applied three age groups (those aged 45-64, 65-75 and ≥ 75). Socioeconomic disparities in ACSCs were described with incidence rate ratios (IRR) and annual rates by education, income and living-alone; and then analysed with biennial concentration indices by income. Geographic disparities were described with biennial ACSC rates by small areas and analysed with two-level Poisson multilevel models. These models provided small area estimates of IRRs of ACSCs in 2000 and their slopes for development over time, between which Pearson correlations were calculated within each capital area. Finally, these models were adjusted for income to distinguish between geographic and socioeconomic disparities.

RESULTS

Copenhagen had the highest IRR of ACSCs among those aged 45-64, and Helsinki among those aged ≥ 75. Over time IRRs decreased among those aged ≥ 45, but only in Helsinki among those aged ≥ 75. All concentration indices slightly favoured the affluent population but in Stockholm were mainly non-significant. Among those aged ≥ 75, Pearson correlations were low in Copenhagen (-0.14; p = 0.424) but high in both Helsinki (-0.74; < 0.001) and Stockholm (-0.62; < 0.001) - with only little change when adjusted for income. Among those aged ≥ 45 the respective correlations were rather similar, except for a strong correlation in Copenhagen (-0.51, 0.001) after income adjustment.

CONCLUSIONS

While socioeconomic disparities in PHC performance persisted among older adults in the three Nordic capital areas, geographic disparities narrowed in both Helsinki and Stockholm but persisted in Copenhagen. Our findings suggest that the Danish PHC incorporated the negative effects of socio-economic segregation to a lesser degree.

Associations between attainment of incentivised primary care indicators and emergency hospital admissions among type 2 diabetes patients: a population-based historical cohort study

OBJECTIVES

England has invested considerably in diabetes care over recent years through programmes such as the Quality and Outcomes Framework and National Diabetes Audit. However, associations between specific programme indicators and key clinical endpoints, such as emergency hospital admissions, remain unclear. We aimed to examine whether attainment of Quality and Outcomes Framework and National Diabetes Audit primary care diabetes indicators is associated with diabetes-related, cardiovascular, and all-cause emergency hospital admissions.

DESIGN

Historical cohort study.

SETTING

A total of 330 English primary care practices, 2010-2017, using UK Clinical Practice Research Datalink.

PARTICIPANTS

A total of 84,441 adults with type 2 diabetes.

MAIN OUTCOME MEASURES

The primary outcome was emergency hospital admission for any cause. Secondary outcomes were (1) diabetes-related and (2) cardiovascular-related emergency admission.

RESULTS

There were 130,709 all-cause emergency admissions, 115,425 diabetes-related admissions and 105,191 cardiovascular admissions, corresponding to unplanned admission rates of 402, 355 and 323 per 1000 patient-years, respectively. All-cause hospital admission rates were lower among those who met HbA1c and cholesterol indicators (incidence rate ratio = 0.91; 95% CI 0.89-0.92; p < 0.001 and 0.87; 95% CI 0.86-0.89; p < 0.001), respectively), with similar findings for diabetes and cardiovascular admissions. Patients who achieved the Quality and Outcomes Framework blood pressure target had lower cardiovascular admission rates (incidence rate ratio = 0.98; 95% CI 0.96-0.99; p = 0.001). Strong associations were found between completing 7-9 (vs. either 4-6 or 0-3) National Diabetes Audit processes and lower rates of all admission outcomes (p-values < 0.001), and meeting all nine National Diabetes Audit processes had significant associations with reductions in all types of emergency admissions by 22% to 26%. Meeting the HbA1c or cholesterol Quality and Outcomes Framework indicators, or completing 7-9 National Diabetes Audit processes, was also associated with longer time-to-unplanned all-cause, diabetes and cardiovascular admissions.

CONCLUSIONS

Attaining Quality and Outcomes Framework-defined diabetes intermediate outcome thresholds, and comprehensive completion of care processes, may translate into considerable reductions in emergency hospital admissions. Out-of-hospital diabetes care optimisation is needed to improve implementation of core interventions and reduce unplanned admissions.

Effect of socioeconomic deprivation on outcomes of diabetes complications in patients with type 2 diabetes mellitus: a nationwide population-based cohort study of South Korea

INTRODUCTION

This study aimed to examine the effect of socioeconomic deprivation on the outcomes of diabetes complications in patients with type 2 diabetes mellitus (T2DM).

RESEARCH DESIGN AND METHODS

We conducted a cohort study using claims data and 2005 national census data. We included of 7510 patients newly diagnosed with T2DM from 2004 to 2012 and aged 40 years or above. We excluded participants who had onset of diabetes complications and hospitalization within 1 year after initial onset T2DM, aged less than 40 years and with missing covariates. We used the regional socioeconomic deprivation index and classified study participants into five categories according to the quintile distribution. We calculated the adjusted HR and 95% CI for hospitalization related to diabetes complications and all-cause mortality by applying Cox proportional hazards model and the adjusted subdistribution hazards model.

RESULTS

The percentages of participants in the first quintile (least deprived) to fifth quintile (most deprived) were 27.0%, 27.9%, 19.5%, 14.8%, and 10.8% for socioeconomic deprivation; 25.4%, 28.8%, 32.4%, 34.6%, and 37.6% for hospitalization due to diabetes complications; 1.3%, 2.1%, 2.5%, 2.9%, and 3.6% for deaths from diabetes complications; and 5.7%, 7.2%, 9.7%, 9.7%, and 13.1% for deaths from all causes, respectively. Participants with higher socioeconomic deprivation had a higher HR for hospitalization and mortality from all-cause and diabetes complications. These associations were the strongest among men and participants in their 40s in hospitalization related to diabetes complications, 50s in diabetes complications-specific mortality and 50s and 60s in all-cause mortality.

CONCLUSIONS

Patients with T2DM with high socioeconomic deprivation had higher hospital admission and mortality rates for diabetes complications than those with low deprivation. We cannot fully explain the effect of socioeconomic deprivation on diabetes outcomes. Therefore, further studies are needed in order to find underlying mechanisms for these associations.

Adherence to medical follow-up recommendations reduces hospital admissions: Evidence from diabetic patients in France

The aim of this study was to document the extent to which diabetic patients who adhered to required medical follow-ups in France experienced reduced hospital admissions over time. The main assumption was that enhanced monitoring and follow-up of diabetic patients in the primary care setting could be a substitute for hospital use. Using longitudinal claim data of diabetic patients between 2010 and 2015 from MGEN, a leading mutuelle insurance company in France, we estimated a dynamic logit model with lagged measures of the quality of adherence to eight medical follow-up recommendations. This model allowed us to disentangle follow-up care in hospitals from other forms of inpatient care that could occur simultaneously. We found that a higher adherence to medical guidance is associated with a lower probability of hospitalization and that the take-up of each of the eight recommendations may help reduce the rates of hospital admission. The reasons for the variation in patient adherence and implications for health policy are discussed.

Admissions for ambulatory care sensitive conditions on rural islands and their association with patient experience: a multicentred prospective cohort study

OBJECTIVES

The rate of admissions for ambulatory care sensitive conditions (ACSCs) is a key outcome indicator for primary care, and patient experience (PX) is a crucial process indicator. Studies have reported higher rates of admission for ACSCs in rural areas than in urban areas. Whether there is an association between admissions for ACSCs and PX in rural areas has not been examined. This study aimed to document admissions for ACSCs on Japanese rural islands, and assess whether there was an association between the rate of admissions for ACSCs and PX.

DESIGN

Multicentred, prospective, cohort study SETTING: This study was conducted on five rural islands in Okinawa, Japan.

PARTICIPANTS

The study participants were all island inhabitants aged 65 years or older.

PRIMARY OUTCOME MEASURES

This study examined the association between ACSCs and PX assessed by a questionnaire, the Japanese Version of Primary Care Assessment Tool. ACSCs were classified using the International Classification of Diseases, Tenth Revision, and the rate of admissions for ACSCs in 1 year.

RESULTS

Of 1258 residents, 740 completed the questionnaire. This study documented 38 admissions for ACSCs (29 patients, males/females: 15/14, median age 81.9) that included congestive heart failure (11), pneumonia (7) and influenza (5). After adjusting for covariates and geographical clustering, admissions for ACSCs had a significant positive association with each patient's PX scores (OR per 1 SD increase=1.62, 95% CI 1.02-2.61).

CONCLUSIONS

Physicians serving rural areas need to stress the importance of preventive interventions for heart failure, pneumonia and influenza to reduce the number of admissions for ACSCs. Contrary to previous studies, our findings might be explained by close patient-doctor relationships on the rural islands.

Patient-Reported Access in the Patient-Centered Medical Home and Avoidable Hospitalizations: an Observational Analysis of the Veterans Health Administration

BACKGROUND

The Patient-Centered Medical Home (PCMH) has emphasized timely access to primary care, often by using non-traditional modes of delivery, such as care in person after-hours or by phone during or after normal hours. Limited data exists on whether improving patient-reported access with these service types reduces hospitalization.

OBJECTIVE

To examine the association of patient-reported access to primary care within the Veteran Health Administration (VHA) via five service types and hospitalizations for ambulatory care sensitive conditions (ACSCs).

DESIGN

Retrospective cohort study, using multivariable logistic regression adjusting for patient demographics, comorbidity, characteristics of patients' area of residence, and clinic-level random effects.

PARTICIPANTS

A total of 69,710 VHA primary care patients who responded to the 2012 Survey of Healthcare Experiences of Patients (SHEP), PCMH module.

MAIN MEASURES

Survey questions captured patients' ability to obtain care from VHA for five service types: routine care, immediate care, after-hours care, care by phone during regular office hours, and care by phone after normal hours. Outcomes included binary measures of hospitalization for overall, acute, and chronic ACSCs in 2013, identified in VHA administrative data and Medicare fee-for-service claims.

KEY RESULTS

Patients who reported "always" able to obtain after-hours care compared to "never" were less likely to be hospitalized for chronic ACSCs (OR 0.62, 95% CI 0.44-0.89, p = 0.009). Patients reporting "usually" getting care by phone during regular hours were more likely have a hospitalization for chronic ACSC (OR 1.49, 95% CI 1.03-2.17, p = 0.034). Experiences with routine care, immediate care, and care by phone after-hours demonstrated no significant association with hospitalization for ACSCs.

CONCLUSIONS

Improving patients' ability to obtain after-hours care was associated with fewer hospitalizations for chronic ACSCs, while access to care by phone during regular hours was associated with more hospitalizations. Health systems should consider the benefits, including reduced hospitalizations for chronic ACSCs, against the costs of implementing each of these PCMH services.

Linking observational data from general practice, hospital admissions and diabetes clinic databases: can it be used to predict hospital admission?

BACKGROUND

Linking process of care data from general practice (GP) and hospital data may provide more information about the risk of hospital admission and re-admission for people with type-2 diabetes mellitus (T2DM). This study aimed to extract and link data from a hospital, a diabetes clinic (DC). A second aim was to determine whether the data could be used to predict hospital admission for people with T2DM.

METHODS

Data were extracted using the GRHANITE™ extraction and linkage tool. The data from nine GPs and the DC included data from the two years prior to the hospital admission. The date of the first hospital admission for patients with one or more admissions was the index admission. For those patients without an admission, the census date 31/03/2014 was used in all outputs requiring results prior to an admission. Readmission was any admission following the index admission. The data were summarised to provide a comparison between two groups of patients: 1) Patients with a diagnosis of T2DM who had been treated at a GP and had a hospital admission and 2) Patients with a diagnosis of T2DM who had been treated at a GP and did not have a hospital admission.

RESULTS

Data were extracted for 161,575 patients from the three data sources, 644 patients with T2DM had data linked between the GPs and the hospital. Of these, 170 also had data linked with the DC. Combining the data from the different data sources improved the overall data quality for some attributes particularly those attributes that were recorded consistently in the hospital admission data. The results from the modelling to predict hospital admission were plausible given the issues with data completeness.

CONCLUSION

This project has established the methodology (tools and processes) to extract, link, aggregate and analyse data from general practices, hospital admission data and DC data. This study methodology involved the establishment of a comparator/control group from the same sites to compare and contrast the predictors of admission, addressing a limitation of most published risk stratification and admission prediction studies. Data completeness needs to be improved for this to be useful to predict hospital admissions.

Quality of diabetes follow-up care and hospital admissions

Diabetes may lead to severe complications. For this reason, disease prevention and improvement of medical follow-up represent major public health issues. The aim of this study was to measure the impact of adherence to French follow-up guidelines on hospitalization of people with diabetes. We used insurance claims data from the years 2010 to 2013 collected for 52,027 people aged over 18, affiliated to a French social security provider and treated for diabetes. We estimated panel data models to explore the association between adherence to guidelines and different measures of hospitalization, controlling for socioeconomic characteristics, diabetes treatment and density of medical supply. The results show that adherence to four guidelines was associated with a significant decrease in hospital admissions, up to approximatively 30% for patients monitored for a complete lipid profile or microalbuminuria during the year. In addition, our analyses confirmed the strong protective effect of income and a significant positive correlation with good supply of hospital care. In conclusion, good adherence to French diabetes guidelines seems to be in line with the prevention of health events, notably complications, that could necessitate hospitalization.

Relational Climate and Health Care Costs: Evidence From Diabetes Care

Quality of care worries and rising costs have resulted in a widespread interest in enhancing the efficiency of health care delivery. One area of increasing interest is in promoting teamwork as a way of coordinating efforts to reduce costs and improve quality, and identifying the characteristics of the work environment that support teamwork. Relational climate is a measure of the work environment that captures shared employee perceptions of teamwork, conflict resolution, and diversity acceptance. Previous research has found a positive association between relational climate and quality of care, yet its relationship with costs remains unexplored. We examined the influence of primary care relational climate on health care costs incurred by diabetic patients at the U.S. Department of Veterans Affairs between 2008 and 2012. We found that better relational climate is significantly related to lower costs. Clinics with the strongest relational climate saved $334 in outpatient costs per patient compared with facilities with the weakest score in 2010. The total outpatient cost saving if all clinics achieved the top 5% relational climate score was $20 million. Relational climate may contribute to lower costs by enhancing diabetic treatment work processes, especially in outpatient settings.

Impact of primary care on hospital admission rates for diabetes patients: A systematic review

High-quality primary care for diabetes patients may be related to lowered hospital admissions. A systematic search was performed to assess the impact of structure, process, and outcome of primary diabetes care on hospital admission rates, considering patient characteristics. Studies on diabetes patients in primary care with hospitalisation rates as outcomes published between January 1996 and December 2015 were included. Indicators of quality of care (access, continuity and structure of care, process, and outcome indicators) and patient characteristics (age, gender, ethnicity, insurance, socio-economic status, diabetes characteristics, co-morbidity, and health-related lifestyle) were extracted. After assessment of the strength of evidence, characteristics of care and diabetes patients were presented in relation to the likelihood of hospitalisation. Thirty-one studies were identified. A regular source of primary care and a well-controlled HbA1c level decreased the likelihood of hospitalisation. Other aspects of care were less consistent. Patients' age, co-morbidity, and socio-economic status were related to higher hospitalisation. Gender and health-related lifestyle showed no relationship. Studies were heterogeneous in design, sample, and healthcare system. Different definitions of diabetes and unscheduled admissions limited comparisons. In healthcare systems where diabetes patients have a regular source of primary care, hospital admission rates cannot be meaningfully related to primary care characteristics.

Shifting chronic disease management from hospitals to primary care in Estonian health system: analysis of national panel data

Background

Following independence from the Soviet Union in 1991, Estonia introduced a national insurance system, consolidated the number of health care providers, and introduced family medicine centred primary health care (PHC) to strengthen the health system.

Methods

Using routinely collected health billing records for 2005–2012, we examine health system utilisation for seven ambulatory care sensitive conditions (ACSCs) (asthma, chronic obstructive pulmonary disease [COPD], depression, Type 2 diabetes, heart failure, hypertension, and ischemic heart disease [IHD]), and by patient characteristics (gender, age, and number of co–morbidities). The data set contained 552 822 individuals. We use patient level data to test the significance of trends, and employ multivariate regression analysis to evaluate the probability of inpatient admission while controlling for patient characteristics, health system supply–side variables, and PHC use.

Findings

Over the study period, utilisation of PHC increased, whilst inpatient admissions fell. Service mix in PHC changed with increases in phone, email, nurse, and follow–up (vs initial) consultations. Healthcare utilisation for diabetes, depression, IHD and hypertension shifted to PHC, whilst for COPD, heart failure and asthma utilisation in outpatient and inpatient settings increased. Multivariate regression indicates higher probability of inpatient admission for males, older patient and especially those with multimorbidity, but protective effect for PHC, with significantly lower hospital admission for those utilising PHC services.

Interpretation

Our findings suggest health system reforms in Estonia have influenced the shift of ACSCs from secondary to primary care, with PHC having a protective effect in reducing hospital admissions.

Quality of Disease Management and Risk of Mortality in English Primary Care Practices

OBJECTIVE

To investigate whether better management of chronic conditions by family practices reduces mortality risk.

DATA

Two random samples of 5 million patients registered with over 8,000 English family practices followed up for 4 years (2004/5-2007/8). Measures of the quality of disease management for 10 conditions were constructed for each family practice for each year. The outcome measure was an indicator taking the value 1 if the patient died during a specified year, 0 otherwise.

STUDY DESIGN

Cross-section and multilevel panel data multiple logistic regressions were estimated. Covariates included age, gender, morbidity, hospitalizations, attributed socio-economic characteristics, and local health care supply measures.

PRINCIPAL FINDINGS

Although a composite measure of the quality of disease management for all 10 conditions was significantly associated with lower mortality, only the quality of stroke care was significant when all 10 quality measures were entered in the regression.

CONCLUSIONS

The panel data results suggest that a 1 percent improvement in the quality of stroke care could reduce the annual number of deaths in England by 782 [95 percent CI: 423, 1140]. A longer study period may be necessary to detect any mortality impact of better management of other conditions.

Tendência de hospitalizações por diabetes mellitus: implicações para o cuidado em saúde

Resumo Objetivo Analisar a tendência de hospitalizações por diabetesmellitus em um período de 15 anos, segundo sexo e faixa etária. Métodos Estudo descritivo, de séries temporais com dados de hospitalização por diabetes mellitus em indivíduos de ambos os sexos, com 20 ou mais anos, obtidos no sistema de informações do sistema único de saúde e analisados segundo estatística descritiva e regressão polinomial. Resultados Foram registradas 117.717 hospitalizações, sendo 61,6% de mulheres. A tendência geral foi de estabilidade, embora tenha sido crescente para os homens (r2=0,83; p<0,001) e estável para mulheres. As faixas etárias de 50 a 59 e maiores de 80 anos (r2=0,78; p<0,001 ambos) apresentaram tendência crescente para homens, enquanto para todas as idades houve estabilidade ou em declínio para mulheres. Conclusão A tendência de hospitalização por diabetes mellitusestratificada por sexo e idade, foi crescente apenas para homens entre 50 a 59 anos e maiores de 80 anos.

Association of processes of primary care and hospitalisation for people with diabetes: A record linkage study

AIMS

To explore the association of primary care and hospitalisation for people with diabetes.

METHODS

The study comprised 20,433 diabetic participants in the Sax Institute's 45 and Up Study. Data on processes of care at recruitment (15 months) were extracted from the Department of Human Services Medicare database. Processes included continuity of primary care (47.1%), and claims for completion of an annual cycle of care (25.0%), GP management plan/team care arrangement (GPMP/TCA, 41.3%), review of GPMP/TCA (24.0%), and monitoring including HbA1c (62.7%). Hospitalisation (12 months) following recruitment was extracted from administrative data held by NSW Ministry of Health. Adjusted incidence rate ratios (aIRR) with 95% confidence interval were calculated.

RESULTS

A hospital admission was reported for 33.0% of participants. Continuity of care (aIRR: 0.92 (95%CI: 0.89-0.96)), or claims for an annual cycle of care (aIRR: 0.77 (0.74-0.80)) or HbA1c testing (aIRR: 0.92 (0.89-0.96) were associated with a reduced likelihood of hospitalisation. While claims for preparation of GPMP/TCA were not associated with hospitalisation, a claim for review of GPMP/TCA was associated with a reduced likelihood of hospitalisation (aIRR: 0.92 (95%CI: 0.89 0.96)).

CONCLUSIONS

This study has implications for hospital avoidance programmes suggesting that strengthening primary care may be more important than care coordination for this group of patients.

Does the quality and outcomes framework reduce psychiatric admissions in people with serious mental illness? A regression analysis

BACKGROUND

The Quality and Outcomes Framework (QOF) incentivises general practices in England to provide proactive care for people with serious mental illness (SMI) including schizophrenia, bipolar disorder and other psychoses. Better proactive primary care may reduce the risk of psychiatric admissions to hospital, but this has never been tested empirically.

METHODS

The QOF data set included 8234 general practices in England from 2006/2007 to 2010/2011. Rates of hospital admissions with primary diagnoses of SMI or bipolar disorder were estimated from national routine hospital data and aggregated to practice level. Poisson regression was used to analyse associations.

RESULTS

Practices with higher achievement on the annual review for SMI patients (MH9), or that performed better on either of the two lithium indicators for bipolar patients (MH4 or MH5), had more psychiatric admissions. An additional 1% in achievement rates for MH9 was associated with an average increase in the annual practice admission rate of 0.19% (95% CI 0.10% to 0.28%) or 0.007 patients (95% CI 0.003 to 0.01).

CONCLUSIONS

The positive association was contrary to expectation, but there are several possible explanations: better quality primary care may identify unmet need for secondary care; higher QOF achievement may not prevent the need for secondary care; individuals may receive their QOF checks postdischarge rather than prior to admission; individuals with more severe SMI may be more likely to be registered with practices with better QOF performance; and QOF may be a poor measure of the quality of care for people with SMI.

Do higher primary care practice performance scores predict lower rates of emergency admissions for persons with serious mental illness? An analysis of secondary panel data

Background

Serious mental illness (SMI) is a set of chronic enduring conditions including schizophrenia and bipolar disorder. SMIs are associated with poor outcomes, high costs and high levels of disease burden. Primary care plays a central role in the care of people with a SMI in the English NHS. Good-quality primary care has the potential to reduce emergency hospital admissions, but also to increase elective admissions if physical health problems are identified by regular health screening of people with SMIs. Better-quality primary care may reduce length of stay (LOS) by enabling quicker discharge, and it may also reduce NHS expenditure.

Objectives

We tested whether or not better-quality primary care, as assessed by the SMI quality indicators measured routinely in the Quality and Outcomes Framework (QOF) in English general practice, is associated with lower rates of emergency hospital admissions for people with SMIs, for both mental and physical conditions and with higher rates of elective admissions for physical conditions in people with a SMI. We also tested the impact of SMI QOF indicators on LOS and costs.

Data

We linked administrative data from around 8500 general practitioner (GP) practices and from Hospital Episode Statistics for the study period 2006/7 to 2010/11. We identified SMI admissions by a mainInternational Classification of Diseases, 10th revision (ICD-10) diagnosis of F20–F31. We included information on GP practice and patient population characteristics, area deprivation and other potential confounders such as access to care. Analyses were carried out at a GP practice level for admissions, but at a patient level for LOS and cost analyses.

Methods

We ran mixed-effects count data and linear models taking account of the nested structure of the data. All models included year indicators for temporal trends.

Results

Contrary to expectation, we found a positive association between QOF achievement and admissions, for emergency admissions for both mental and physical health. An additional 10% in QOF achievement was associated with an increase in the practice emergency SMI admission rate of approximately 1.9%. There was no significant association of QOF achievement with either LOS or cost. All results were robust to sensitivity analyses.

Conclusions

Possible explanations for our findings are (1) higher quality of primary care, as measured by QOF may not effectively prevent the need for secondary care; (2) patients may receive their QOF checks post discharge, rather than prior to admission; (3) people with more severe SMIs, at a greater risk of admission, may select into practices that are better organised to provide their care and which have better QOF performance; (4) better-quality primary care may be picking up unmet need for secondary care; and (5) QOF measures may not accurately reflect quality of primary care. Patient-level data on quality of care in general practice is required to determine the reasons for the positive association of QOF quality and admissions. Future research should also aim to identify the non-QOF measures of primary care quality that may reduce unplanned admissions more effectively and could potentially be incentivised.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

The influence of primary care quality on hospital admissions for people with dementia in England: a regression analysis

OBJECTIVES

To test the impact of a UK pay-for-performance indicator, the Quality and Outcomes Framework (QOF) dementia review, on three types of hospital admission for people with dementia: emergency admissions where dementia was the primary diagnosis; emergency admissions for ambulatory care sensitive conditions (ACSCs); and elective admissions for cataract, hip replacement, hernia, prostate disease, or hearing loss.

METHODS

Count data regression analyses of hospital admissions from 8,304 English general practices from 2006/7 to 2010/11. We identified relevant admissions from national Hospital Episode Statistics and aggregated them to practice level. We merged these with practice-level data on the QOF dementia review. In the base case, the exposure measure was the reported QOF register. As dementia is commonly under-diagnosed, we tested a predicted practice register based on consensus estimates. We adjusted for practice characteristics including measures of deprivation and uptake of a social benefit to purchase care services (Attendance Allowance).

RESULTS

In the base case analysis, higher QOF achievement had no significant effect on any type of hospital admission. However, when the predicted register was used to account for under-diagnosis, a one-percentage point improvement in QOF achievement was associated with a small reduction in emergency admissions for both dementia (-0.1%; P=0.011) and ACSCs (-0.1%; P=0.001). In areas of greater deprivation, uptake of Attendance Allowance was consistently associated with significantly lower emergency admissions. In all analyses, practices with a higher proportion of nursing home patients had significantly lower admission rates for elective and emergency care.

CONCLUSION

In one of three analyses at practice level, the QOF review for dementia was associated with a small but significant reduction in unplanned hospital admissions. Given the rising prevalence of dementia, increasing pressures on acute hospital beds and poor outcomes associated with hospital stays for this patient group, this small change may be clinically and economically relevant.

Performance-based financial incentives for diabetes care: an effective strategy?

The use of financial incentives provided to primary care physicians who achieve target management or clinical outcomes has been advocated to support the fulfillment of care recommendations for patients with diabetes. This article explores the characteristics of incentive models implemented in the context of universal healthcare systems in the United Kingdom, Australia, Taiwan and Canada; the extent to which these interventions have been successful in improving diabetes outcomes; and the key challenges and concerns around implementing incentive models. Research in the effect of incentives in the United Kingdom demonstrates some improvements in process outcomes and achievement of cholesterol, blood pressure and glycated hemoglobin (A1C) targets. Evidence of the efficacy of programs implemented outside of the United Kingdom is very limited but suggests that physicians participating in these enhanced billing incentive programs were already completing the guideline-recommended care prior to the introduction of the incentive. A shift to pay-for-performance programs may have important implications for professionalism and patient-centred care. In the absence of definitive evidence that financial incentives drive the quality of diabetes management at the level of primary care, policy makers should proceed with caution. It is important to look beyond simply modifying physicians' behaviours and address the factors and systemic barriers that make it challenging for patients and physicians to manage diabetes in partnership.

Inequalities in health care among patients with type 2 diabetes by individual socio-economic status (SES) and regional deprivation: a systematic literature review

Introduction

Quality of care could be influenced by individual socio-economic status (SES) and by residential area deprivation. The objective is to synthesize the current evidence regarding inequalities in health care for patients with Type 2 diabetes mellitus (Type 2 DM).

Methods

The systematic review focuses on inequalities concerning process (e.g. measurement of HbA1c, i.e. glycolised haemoglobin) and intermediate outcome indicators (e.g. HbA1c level) of Type 2 diabetes care. In total, of n = 886 publications screened, n = 21 met the inclusion criteria.

Results

A wide variety of definitions for ‘good quality diabetes care’, regional deprivation and individual SES was observed. Despite differences in research approaches, there is a trend towards worse health care for patients with low SES, concerning both process of care and intermediate outcome indicators. Patients living in deprived areas less often achieve glycaemic control targets, tend to have higher blood pressure (BP) and worse lipid profile control.

Conclusion

The available evidence clearly points to the fact that socio-economic inequalities in diabetes care do exist. Low individual SES and residential area deprivation are often associated with worse process indicators and worse intermediate outcomes, resulting in higher risks of microvascular and macrovascular complications. These inequalities exist across different health care systems. Recommendations for further research are provided.

Which features of primary care affect unscheduled secondary care use? A systematic review

OBJECTIVES

To conduct a systematic review to identify studies that describe factors and interventions at primary care practice level that impact on levels of utilisation of unscheduled secondary care.

SETTING

Observational studies at primary care practice level.

PARTICIPANTS

Studies included people of any age of either sex living in Organisation for Economic Co-operation and Development (OECD) countries with any health condition.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome measure was unscheduled secondary care as measured by emergency department attendance and emergency hospital admissions.

RESULTS

48 papers were identified describing potential influencing features on emergency department visits (n=24 studies) and emergency admissions (n=22 studies). Patient factors associated with both outcomes were increased age, reduced socioeconomic status, lower educational attainment, chronic disease and multimorbidity. Features of primary care affecting unscheduled secondary care were more complex. Being able to see the same healthcare professional reduced unscheduled secondary care. Generally, better access was associated with reduced unscheduled care in the USA. Proximity to healthcare provision influenced patterns of use. Evidence relating to quality of care was limited and mixed.

CONCLUSIONS

The majority of research was from different healthcare systems and limited in the extent to which it can inform policy. However, there is evidence that continuity of care is associated with reduced emergency department attendance and emergency hospital admissions.

A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing

Background

Primary health care is recognised as an integral part of a country’s health care system. Measuring hospitalisations, that could potentially be avoided with high quality and accessible primary care, is one indicator of how well primary care services are performing. This review was interested in the association between chronic disease related hospitalisations and primary health care resourcing.

Methods

Studies were included if peer reviewed, written in English, published between 2002 and 2012, modelled hospitalisation as a function of PHC resourcing and identified hospitalisations for type 2 diabetes as a study outcome measure. Access and use of PHC services were used as a proxy for PHC resourcing. Studies in populations with a predominant user pay system were excluded to eliminate patient financial barriers to PHC access and utilisation. Articles were systematically excluded based on the inclusion criteria, to arrive at the final set of studies for review.

Results

The search strategy identified 1778 potential articles using EconLit, Medline and Google Scholar databases. Ten articles met the inclusion criteria and were subject to review. PHC resources were quantified by workforce (either medical or nursing) numbers, number of primary care episodes, service availability (e.g. operating hours), primary care practice size (e.g. single or group practitioner practice—a larger practice has more care disciplines onsite), or financial incentive to improve quality of diabetes care. The association between medical workforce numbers and ACSC hospitalisations was mixed. Four of six studies found that less patients per doctor was significantly associated with a decrease in ambulatory care sensitive hospitalisations, one study found the opposite and one study did not find a significant association between the two. When results were categorised by PHC access (e.g. GPs/capita, range of services) and use (e.g. n out-patient visits), better access to quality PHC resulted in fewer ACSC hospitalisations. This finding remained when only studies that adjusted for health status were categorised. Financial incentives to improve the quality of diabetes care were associated with less ACSC hospitalisations, reported in one study.

Conclusion

Seven of 12 measures of the relationship between PHC resourcing and ACSC hospitalisations had a significant inverse association. As a collective body of evidence the studies provide inconclusive support that more PHC resourcing is associated with reduced hospitalisation for ACSC. Characteristics of improved or increased PHC access showed inverse significant associations with fewer ACSC hospitalisations after adjustment for health status. The varied measures of hospitalisation, PHC resourcing, and health status may contribute to inconsistent findings among studies and make it difficult to interpret findings.

Why do patients with long-term conditions use unscheduled care? A qualitative literature review

Unscheduled care (UC) refers to non-routine face-to-face care, such as accident and emergency care, out-of-hours care, or walk-in centres. Current health service policy aims to reduce its use. Unscheduled care is common in people with long-term conditions such as diabetes, asthma, chronic obstructive pulmonary disease and coronary heart disease. By reviewing qualitative research literature, we aimed to understand the breadth of psychosocial and other influences on UC use in people with long-term conditions. Few qualitative papers specifically address UC in patients in these disease groups. Therefore, our literature search also included qualitative research that explored factors potentially relevant to UC use, including attitudes to healthcare use in general. By searching Medline, Embase, Psycinfo and Cinahl from inception to 2011, we identified 42 papers, published since 1984, describing relevant original research and took a meta-ethnographic approach in reviewing them. The review was conducted between Spring 2009 and April 2011, with a further search in December 2011. Most papers reported on asthma (n = 13) or on multiple or unspecified conditions (n = 12). The most common methods reported were interviews (n = 33) and focus groups (n = 13), and analyses were generally descriptive. Theoretical and ethical background was rarely explicit, but the implicit starting point was generally the 'problem' of UC, and health-care, use in general, decontextualised from the lives of the patients using it. Patients' use of UC emerged as understandable, rational responses to pressing clinical need in situations in which patients thought it the only option. This belief reflected the value that they had learned to attach to UC versus routine care through previous experiences. For socially or economically marginalised patients, UC offered access to clinical or social care that was otherwise unavailable to them.

National recommendations: Psychosocial management of diabetes in India

Although several evidence-based guidelines for managing diabetes are available, few, if any, focus on the psychosocial aspects of this challenging condition. It is increasingly evident that psychosocial treatment is integral to a holistic approach of managing diabetes; it forms the key to realizing appropriate biomedical outcomes. Dearth of attention is as much due to lack of awareness as due to lack of guidelines. This lacuna results in diversity among the standards of clinical practice, which, in India, is also due to the size and complexity of psychosocial care itself. This article aims to highlight evidence- and experience-based Indian guidelines for the psychosocial management of diabetes. A systemic literature was conducted for peer-reviewed studies and publications covering psychosocial aspects in diabetes. Recommendations are classified into three domains: General, psychological and social, and graded by the weight they should have in clinical practice and by the degree of support from the literature. Ninety-four recommendations of varying strength are made to help professionals identify the psychosocial interventions needed to support patients and their families and explore their role in devising support strategies. They also aid in developing core skills needed for effective diabetes management. These recommendations provide practical guidelines to fulfill unmet needs in diabetes management, and help achieve a qualitative improvement in the way physicians manage patients. The guidelines, while maintaining an India-specific character, have global relevance, which is bound to grow as the diabetes pandemic throws up new challenges.

Characteristics of general practices associated with numbers of elective admissions

BACKGROUND

In England both emergency (unplanned) and non-emergency (elective) hospital admissions have been increasing. Some elective admissions are potentially avoidable.

AIM

to identify the characteristics of general practices and patients associated with elective admissions.

METHODS

A cross-sectional study, in Leicestershire, England, was conducted using admission data (2006-07 and 2007-08). Practice characteristics (list size, distance from principal hospital, quality and outcomes framework score and general practitioner (GP) patient access survey data) and patient characteristics (age, ethnicity and deprivation and gender) were used as predictors of elective hospital admissions in a negative binomial regression model.

RESULTS

Practices with a higher proportion of patients aged 65 years or greater and of white ethnicity had higher rates of elective hospital admissions. Practices with more male patients and with more patients reporting being able to consult a particular GP had fewer elective hospital admissions. For 2007-08 practices with a larger list size were associated with higher elective hospital admissions. Quality and outcomes framework performance did not predict admission numbers.

CONCLUSIONS

As for unplanned admissions, elective admissions increase as being able to consult a particular GP declines. Interventions to improve continuity should be investigated. Practices face major problems in managing the increased need for planned care as the population ages.

Does better disease management in primary care reduce hospital costs? Evidence from English primary care

We apply cross-sectional and panel data methods to a database of 5 million patients in 8000 English general practices to examine whether better primary care management of 10 chronic diseases is associated with reduced hospital costs. We find that only primary care performance in stroke care is associated with lower hospital costs. Our results suggest that the 10% improvement in the general practice quality of stroke care between 2004/5 and 2007/8 reduced 2007/8 hospital expenditure by about £130 million in England. The cost savings are due mainly to reductions in emergency admissions and outpatient visits, rather than to lower costs for patients treated in hospital or to reductions in elective admissions.

The equity dimension in evaluations of the quality and outcomes framework: a systematic review

BACKGROUND

Pay-for-performance systems raise concerns regarding inequity in health care because providers might select patients for whom targets can easily be reached. This paper aims to describe the evolution of pre-existing (in)equity in health care in the period after the introduction of the Quality and Outcomes Framework (QOF) in the UK and to describe (in)equities in exception reporting. In this evaluation, a theory-based framework conceptualising equity in terms of equal access, equal treatment and equal treatment outcomes for people in equal need is used to guide the work.

METHODS

A systematic MEDLINE and Econlit search identified 317 studies. Of these, 290 were excluded because they were not related to the evaluation of QOF, they lacked an equity dimension in the evaluation, their qualitative research focused on experiences or on the nature of the consultation, or unsuitable methodology was used to pronounce upon equity after the introduction of QOF.

RESULTS

None of the publications (n = 27) assessed equity in access to health care. Concerning equity in treatment and (intermediate) treatment outcomes, overall quality scores generally improved. For the majority of the observed indicators, all citizens benefit from this improvement, yet the extent to which different patient groups benefit tends to vary and to be highly dependent on the type and complexity of the indicator(s) under study, the observed patient group(s) and the characteristics of the study. In general, the introduction of QOF was favourable for the aged and for males. Total QOF scores did not seem to vary according to ethnicity. For deprivation, small but significant residual differences were observed after the introduction of QOF favouring less deprived groups. These differences are mainly due to differences at the practice level. The variance in exception reporting according to gender and socio-economic position is low.

CONCLUSIONS

Although QOF seems not to be socially selective at first glance, this does not mean QOF does not contribute to the inverse care law. Introducing different targets for specific patient groups and including appropriate, non-disease specific and patient-centred indicators that grasp the complexity of primary care might refine the equity dimension of the evaluation of QOF. Also, information on the actual uptake of care, information at the patient level and monitoring of individuals' health care utilisation tracks could make large contributions to an in-depth evaluation. Finally, evaluating pay-for-quality initiatives in a broader health systems impact assessment strategy with equity as a full assessment criterion is of utmost importance.

Hospitalizations for ambulatory care sensitive conditions and quality of primary care: their relation with socioeconomic and health care variables in the Madrid regional health service (Spain)

BACKGROUND

Hospitalizations for ambulatory care sensitive conditions (ACSH) have been proposed as an indirect indicator of the effectiveness and quality of care provided by primary health care.

OBJECTIVE

To investigate the association of ACSH rates with population socioeconomic factors and with characteristics of primary health care.

RESEARCH DESIGN

Cross-sectional, ecologic study. Using hospital discharge data, ACSH were selected from the list of conditions validated for Spain.

SETTING

All 34 health districts in the Region of Madrid, Spain.

SUBJECTS

Individuals aged 65 years or older residing in the region of Madrid between 2001 and 2003, inclusive.

MEASURES

Age- and gender-adjusted ACSH rates in each health district.

RESULTS

The adjusted ACSH rate per 1000 population was 35.37 in men and 20.45 in women. In the Poisson regression analysis, an inverse relation was seen between ACSH rates and the socioeconomic variables. Physician workload was the only health care variable with a statistically significant relation (rate ratio of 1.066 [95% CI; 1.041-1.091]). These results were similar in the analyses disaggregated by gender. In the multivariate analyses that included health care variables, none of the health care variables were statistically significant.

CONCLUSIONS

ACSH may be more closely related with socioeconomic variables than with characteristics of primary care activity. Therefore, other factors outside the health system must be considered to improve health outcomes in the population.

Does higher quality of diabetes management in family practice reduce unplanned hospital admissions?

OBJECTIVE

To investigate the association between indicators of quality of diabetic management in English family practices and emergency hospital admissions for short-term complications of diabetes.

STUDY SETTING

A total of 8,223 English family practices from 2001/2002 to 2006/2007.

STUDY DESIGN

Multiple regression analyses of associations between admissions and proportions of practice diabetic patients with good (glycated hemoglobin [HbA1c] ≤7.4 percent) and moderate (7.4 percent <HbA1c ≤10 percent) glycemic control. Covariates included diabetes prevalence, baseline admission rates, socioeconomic, demographic, and geographic characteristics.

DATA

Practice quality measures extracted from practice records linked with practice-level hospital admissions data and practice-level covariates data.

PRINCIPAL FINDINGS

Practices with 1 percent more patients with moderate rather than poor glycemic control on average had 1.9 percent (95 percent CI: 1.1-2.6 percent) lower rates of emergency admissions for acute hyperglycemic complications. Having more patients with good rather than moderate control was not associated with lower admissions. There was no association of moderate or good control with hypoglycemic admissions.

CONCLUSION

Cross-sectionally, family practices with better quality of diabetes care had fewer emergency admissions for short-term complications of diabetes. Over time, after controlling for national trends in admissions, improvements in quality in a family practice were associated with a reduction in its admissions.

Hospital admissions for asthma, diabetes and COPD: is there an association with practice nurse staffing? A cross sectional study using routinely collected data

BACKGROUND

Delivering good quality primary care for patients with chronic conditions has the potential to reduce non-elective hospital admissions. Practice nurse staffing levels in England have been linked to attainment of general practice performance targets for some chronic conditions. The aim of this study was to examine whether practice nurse staffing level is similarly associated with non-elective hospital admissions in three clinical areas: asthma, Chronic Obstructive Pulmonary Disease (COPD) and diabetes.

METHODS

This observational study used cross sectional analysis of routinely collected data. Hospital admissions data for the period 2005-2006 (for asthma, COPD and diabetes) were linked with a database of practice characteristics, nurse staffing data and data on population characteristics for the same period. Statistical modelling explored the relationship between non-elective hospital admission rates for the three conditions and the list size per full time equivalent (FTE) practice nurse.

RESULTS

Higher practice nurse staffing levels were significantly associated with lower rates of admission for asthma (p < 0.001) and COPD (p < 0.001). A similar association was seen for patients with two or more admissions (p < 0.05 for asthma and p < 0.001 for COPD). For diabetes, higher practice nurse staffing level was significantly associated with higher admission rates (p < 0.05), but this association was not significant in case of patients with two or more admissions. Across all models, increasing deprivation was associated with higher admission rates for all conditions.

CONCLUSIONS

The inconsistent relationship between nurse staffing and patient outcomes across the different conditions and the fact that for diabetes the relationship between staffing and outcomes was in a different direction from the association between staffing and care quality, highlights the need to avoid making a simple causal interpretation of these findings and reduces the possible confidence in such conclusions. There is a need for more research into the organisation and delivery of diabetes care services in general practice, preferably using patient level data; in order to better understand the impact of the different staffing configurations on patient outcomes.

Has pay for performance improved the management of diabetes in the United Kingdom?

Over the past decade the UK government has introduced a number of major policy initiatives to improve the quality of health care. One such initiative was the introduction of the Quality and Outcomes Framework (QOF), a pay for performance scheme launched in April 2004, which aims to improve the primary care management of common chronic conditions including diabetes. Some evidence suggest that introduction of QOF has been associated with improvements in the quality indicators for diabetes care included in the framework. However, it is difficult to disentangle the impact of QOF from other quality initiatives as few studies adjusted for underlying trends in quality. There is some evidence that QOF may have reduced inequalities in diabetes care between affluent and deprived areas but women and individuals from ethnic minority groups appear to have benefited least from this initiative. Less is known about the impact of QOF on aspects of diabetes care not reflected in the framework, including self-management and continuity of care.