Regional variation in the prescribing for diabetes and use of secondary preventative therapies in Ireland

Prescriber Variation in Relation to Prescribing Trends within the Preferred Drugs Initiative in Ireland (2012-2015): An Interrupted Time-Series Study Using Latent Curve Models

OBJECTIVES

To examine the impact of the Preferred Drugs Initiative (PDI), an Irish health policy aimed at reducing prescribing variation.

DESIGN

Interrupted time series spanning 2012 to 2015.

SETTING

Health Service Executive pharmacy claims data for General Medical Services (GMS) patients, approximately 40% of the Irish population.

PARTICIPANTS

Prescribers issuing preferred drug group items to GMS adults before and after PDI guidelines.

PRIMARY OUTCOME

The percentage coverage of PDI medications within each drug class per calendar quarter per prescriber.

METHODS

Latent curve models with structured residuals (LCM-SRs) were used to model coverage of the preferred drugs over time. The number of GMS adults receiving medication and the percentage who were 65 years and older at the start of the study were included as covariates.

RESULTS

In the quarter following PDI guidelines, coverage of the preferred drugs increased most in absolute terms for proton pump inhibitors (PPIs) (1.50% [SE 0.15], P < 0.001) and selective and norepinephrine reuptake inhibitors (SNRIs) (1.17% [SE 0.26], P < 0.001). Variation between prescribers remained relatively unchanged and increased for urology medications. Prescribers who increased coverage of the preferred PPI also increased coverage of the preferred statin immediately following guidelines (correlation 0.47 [SE 0.13], P < 0.001). Where guidelines were disseminated simultaneously, coverage of one preferred drug did not significantly predict coverage of the other preferred drug in the next calendar quarter. Prescribing of preferred drugs was not moderated by prescriber-level factors.

CONCLUSIONS

Modest changes in prescribing of the preferred drugs have been observed over the course of the PDI. However, the guidelines have had little impact in reducing variation between prescribers. Further strategies may be necessary to reduce variation in clinical practice and enhance patient care.

Regional differences in antihyperglycemic medication are not explained by individual socioeconomic status, regional deprivation, and regional health care services. Observational results from the German DIAB-CORE consortium

AIMS

This population-based study sought to extend knowledge on factors explaining regional differences in type 2 diabetes mellitus medication patterns in Germany.

METHODS

Individual baseline and follow-up data from four regional population-based German cohort studies (SHIP [northeast], CARLA [east], HNR [west], KORA [south]) conducted between 1997 and 2010 were pooled and merged with both data on regional deprivation and regional health care services. To analyze regional differences in any or newer anti-hyperglycemic medication, medication prevalence ratios (PRs) were estimated using multivariable Poisson regression models with a robust error variance adjusted gradually for individual and regional variables.

RESULTS

The study population consisted of 1,437 people aged 45 to 74 years at baseline, (corresponding to 49 to 83 years at follow-up) with self-reported type 2 diabetes. The prevalence of receiving any anti-hyperglycemic medication was 16% higher in KORA (PR 1.16 [1.08-1.25]), 10% higher in CARLA (1.10 [1.01-1.18]), and 7% higher in SHIP (PR 1.07 [1.00-1.15]) than in HNR. The prevalence of receiving newer anti-hyperglycemic medication was 49% higher in KORA (1.49 [1.09-2.05]), 41% higher in CARLA (1.41 [1.02-1.96]) and 1% higher in SHIP (1.01 [0.72-1.41]) than in HNR, respectively. After gradual adjustment for individual variables, regional deprivation and health care services, the effects only changed slightly.

CONCLUSIONS

Neither comprehensive individual factors including socioeconomic status nor regional deprivation or indicators of regional health care services were able to sufficiently explain regional differences in anti-hyperglycemic treatment in Germany. To understand the underlying causes, further research is needed.

Factors influencing the variation in GMS prescribing expenditure in Ireland

BACKGROUND

Pharmaceutical expenditure growth is a familiar feature in many Western health systems and is a real concern for policymakers. A state funded General Medical Services (GMS) scheme in Ireland experienced an increase in prescription expenditure of 414 % between 1998 and 2012. This paper seeks to explore the rationale for this growth by investigating the composition (Anatomical Therapeutic Chemical (ATC) Group level 1 & 5) and drivers of GMS drug expenditure in Ireland in 2012.

METHODS

A cross-sectional study was carried out on the Health Service Executive-Primary Care Reimbursement Service (HSE-PCRS) population prescribing database (n = 1,630,775). Three models were applied to test the association between annual expenditure per claimant whilst controlling for age, sex, region, and the pharmacology of the drugs as represented by the main ATC groups.

RESULTS

The mean annual cost per claimant was €751 (median = €211; SD = €1323.10; range = €3.27-€298,670). Age, sex, and regions were all significant contributory factors of expenditure, with gender having the greatest impact (β = 0.107). Those aged over 75 (β =1.195) were the greatest contributors to annual GMS prescribing costs. As regards regions, the South has the greatest cost increasing impact. When the ATC groups were included the impact of gender is diluted by the pharmacology of the products, with cardiovascular prescribing (ATC 'C') most influential (β = 1.229) and the explanatory power of the model increased from 40 % to 60 %.

CONCLUSION

Whilst policies aimed at cost containment (co-payment charges; generic substitution; reference pricing; adjustments to GMS eligibility) can be used to curtail expenditure, health promotional programs and educational interventions should be given equal emphasis. Also policies intended to affect physicians' prescribing behaviour include guidelines, information (about price and less expensive alternatives) and feedback, and the use of budgetary restrictions could yield savings in Ireland and can be easily translated to the international context.

Use of cardiovascular medicines in newly treated type 2 diabetes patients: A retrospective cohort study in general practice

AIMS

To describe the drug utilisation patterns of aspirin, antihypertensives, vasodilators, and statins in a cohort of newly treated type 2 diabetes subjects previously unexposed to CVD agents.

METHODS

A population-based retrospective cohort study was conducted using a national pharmacy claims database of newly treated type 2 diabetes subjects aged 40 years or older. Data on the use of aspirin, antihypertensives, vasodilators, and statins 1 year after antidiabetic agent initiation were analysed. Poisson regression with a robust error variance was used to estimate adjusted relative risk (RRadj) and 95% CIs between socio-demographic and treatment factors on CVD agent use.

RESULTS

Over a 2-year period (2008-2009), 6093 subjects were identified. One year after antidiabetic agent initiation, 82% of the study population received at least one CVD agent, with 54% receiving aspirin, 64% receiving antihypertensives, 6% vasodilators, and 62% receiving statins. Subjects aged 40-49 years were significantly less likely than those aged 60-69 years to receive CVD agents (RRadj 0.83, 95% CI 0.80-0.87). Over 40% of subjects received antihypertensives without aspirin and statins, while 30% of subjects on statins did not receive aspirin.

CONCLUSIONS

Substantial CVD agent utilisation was noted 1 year after antidiabetic agent initiation. Being aged younger than 60-69 years was associated with decreased utilisation of CVD agents.

The implications of regional and national demographic projections for future GMS costs in Ireland through to 2026

BACKGROUND

As the health services in Ireland have become more resource-constrained, pressure has increased to reduce public spending on community drug schemes such as General Medical Services (GMS) drug prescribing and to understand current and future trends in prescribing. The GMS scheme covers approximately 37% of the Irish population in 2011 and entitles them, inter alia, to free prescription drugs and appliances. This paper projects the effects of future changes in population, coverage, claims rates and average claims cost on GMS costs in Ireland.

METHODS

Data on GMS coverage, claims rates and average cost per claim are drawn from the Primary Care Reimbursement Service (PCRS) and combined with Central Statistics Office (CSO) (Regional and National Population Projections through to 2026). A Monte Carlo Model is used to simulate the effects of demographic change (by region, age, gender, coverage, claims rates and average claims cost) will have on GMS prescribing costs in 2016, 2021 and 2026 under different scenarios.

RESULTS

The Population of Ireland is projected to grow by 32% between 2007 and 2026 and by 96% for the over 70s. The Eastern region is estimated to grow by 3% over the lifetime of the projections at the expense of most other regions. The Monte Carlo simulations project that females will be a bigger driver of GMS costs than males. Midlands region will be the most expensive of the eight old health board regions. Those aged 70 and over and children under 11 will be significant drivers of GMS costs with the impending demographic changes. Overall GMS medicines costs are projected to rise to €1.9bn by 2026.

CONCLUSIONS

Ireland's population will experience rapid growth over the next decade. Population growth coupled with an aging population will result in an increase in coverage rates, thus the projected increase in overall prescribing costs. Our projections and simulations map the likely evolution of GMS cost, given existing policies and demographic trends. These costs can be contained by government policy initiatives.

Regional variation in medication-taking behaviour of new users of oral anti-hyperglycaemic therapy in Ireland

BACKGROUND

Few studies have investigated regional variation in medication-taking behaviour. The purpose of this study was to investigate whether there are regional differences in non-persistence and non-adherence to oral anti-hyperglycaemic agents in patients initiating therapy and examine if any association exists between different types of comorbidity in terms of medication-taking behaviour.

METHODS

The Irish Health Services Executive (HSE) pharmacy claims database was used to identify new users of metformin or sulphonylureas, aged ≥25 years, initiating therapy between June 2009 and December 2010. Non-persistence and non-adherence were examined up to 12 months post-initiation. Comorbidity was assessed using modified RxRisk and RxRisk-V indices, and classified as either concordant and/or discordant with diabetes. Adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs) for non-persistence were determined in relation to both HSE region and comorbidity type using Cox proportional hazards model, adjusting for age, sex and initial OAH prescribed. Logistic regression analysis, adjusting for these covariates, was used to determine the adjusted odds ratios (ORs) and 95% CIs for non-adherence for both HSE region and comorbidity type.

RESULTS

Results showed little overall difference between regions. The largest reduction for both non-persistence (HR 0.86, 95% CI 0.80, 0.94) and non-adherence (OR 0.83, 95% CI 0.74, 0.93) was observed in the south. Any comorbidity was associated with a reduced risk of non-persistence and non-adherence.

CONCLUSIONS

Interventions to optimise medication-taking in patients with T2DM should be implemented nationally to improve the overall level of adherence and persistence, especially in patients with no comorbidity.

Sex differences in cardiovascular outcomes, pharmacological treatments and indicators of care in patients with newly diagnosed diabetes: Analyses on administrative database

BACKGROUND

The impact of diabetes on cardiovascular disease in both sexes is known, but the specifics have not been fully clarified. We investigated whether sex-related differences exist in terms of management and hospitalization in patients with newly diagnosed diabetes.

METHODS

We examined the rates of hospitalization for cardiovascular causes, mortality, treatments and management of patients with diabetes compared to subjects without, from administrative database. Interaction between sex and diabetes on clinical outcomes were calculated using a Cox regression model. Pharmacological treatments and recommended examinations by sex were calculated using logistic regression.

RESULTS

From 2002 to 2006, 158,426 patients with diabetes and 314,115 subjects without were identified and followed up for a mean of 33 months (± 17.5). Diabetes confers a higher risk for all clinical outcomes. Females with diabetes have a risk profile for hospitalization for coronary heart disease comparable to males without (4.6% and 5.3%). Interaction between sex and diabetes shows that females with diabetes had an added 19% higher risk of total death (95% CI 1.13-1.24). No differences were observed in hospitalizations, although females with diabetes were less likely to undergo revascularization after myocardial infarction. Females received cardiovascular prevention drugs less frequently than males and had a slight tendency to get fewer examinations.

CONCLUSION

Diabetes is linked to a higher increase of mortality in females relative to males. This might reflect sex differences in the use of revascularization procedures or therapeutic regimens. Closer attention and implementation of standard care for females are necessary from the onset of diabetes.

Regional variation in prescribing for chronic conditions among an elderly population using a pharmacy claims database

BACKGROUND

Age, gender and geographical regions are recognised factors in inequalities in prescribing for chronic diseases in the elderly.

AIM

To compare the health board regional distribution of chronic disease among the elderly and to examine variation in quality prescribing across age, gender and regions.

METHODS

Population based study of prescribing for chronic disease using a national pharmacy claims database. All individuals aged 70 years and over (n = 271,518) were eligible.

RESULTS

Over 60% of the elderly in all regions received cardiovascular related medication. The South Eastern, North Western and Western Health Boards had below average prescribing for many chronic conditions. Logistic regression identified age, gender and regional variations in prescribing of preventative therapies for CVD and diabetes.

CONCLUSION

There is a high prevalence of prescribing for chronic conditions in the elderly in Ireland, and there is evidence of gender, age and residing health board inequalities in prescribing.

Prescribing of antidiabetic therapies in Ireland: 10-year trends 2003-2012

BACKGROUND

Over the last decade there have been significant changes in the prescribing of antidiabetic therapies. It is of interest to know about these trends and variations in the Irish population so that future prescribing patterns can be estimated.

AIMS

To examine the trends in prescribed antidiabetic treatments, including variations across age, gender, socioeconomic status and regions in the Irish population over the last 10 years.

METHODS

The Irish national pharmacy claims database was used to identify patients ≥ 16 years dispensed antidiabetic agents (oral or insulin) from January 2003 to December 2012 through the two main community drug schemes for diabetes. The rate of prescribing per 1,000 population was calculated. Logistic regression was used to examine variations in prescribing in patients with diabetes.

RESULTS

There was a significant increase in the prescribing of fast and long-acting insulin analogues with a rapid decline in the prescribing of human insulin (p < 0.0001). Increased prescribing of metformin, incretin modulators and fixed oral combination agents was observed (p < 0.0001). Females and older aged patients were more likely to be prescribed human insulin than other insulins. Metformin was less likely while sulphonylureas were more likely to be prescribed in older than younger aged patients. Socioeconomic differences were observed in increased prescribing of the newer and more expensive antidiabetic agents in the non-means tested scheme. Regional variations were observed in the prescribing of both insulin and oral antidiabetic agents.

CONCLUSION

There has been an increase over time in the prescribing of both insulin and oral antidiabetic agents in the Irish population with increasing uptake of newer antidiabetic agents. This has implications for projecting future uptake and expenditure of these agents given the rising level of diabetes in the population.

A review of geographic variation and Geographic Information Systems (GIS) applications in prescription drug use research

BACKGROUND

While understanding geography's role in healthcare has been an area of research for over 40 years, the application of geography-based analyses to prescription medication use is limited. The body of literature was reviewed to assess the current state of such studies to demonstrate the scale and scope of projects in order to highlight potential research opportunities.

OBJECTIVE

To review systematically how researchers have applied geography-based analyses to medication use data.

METHODS

Empiric, English language research articles were identified through PubMed and bibliographies. Original research articles were independently reviewed as to the medications or classes studied, data sources, measures of medication exposure, geographic units of analysis, geospatial measures, and statistical approaches.

RESULTS

From 145 publications matching key search terms, forty publications met the inclusion criteria. Cardiovascular and psychotropic classes accounted for the largest proportion of studies. Prescription drug claims were the primary source, and medication exposure was frequently captured as period prevalence. Medication exposure was documented across a variety of geopolitical units such as countries, provinces, regions, states, and postal codes. Most results were descriptive and formal statistical modeling capitalizing on geospatial techniques was rare.

CONCLUSION

Despite the extensive research on small area variation analysis in healthcare, there are a limited number of studies that have examined geographic variation in medication use. Clearly, there is opportunity to collaborate with geographers and GIS professionals to harness the power of GIS technologies and to strengthen future medication studies by applying more robust geospatial statistical methods.

Is the high-risk strategy to prevent cardiovascular disease equitable? A pharmacoepidemiological cohort study

BACKGROUND

Statins are increasingly prescribed to prevent cardiovascular disease (CVD) in asymptomatic individuals. Yet, it is unknown whether those at higher CVD risk - i.e. individuals in lower socio-economic position (SEP) - are adequately reached by this high-risk strategy. We aimed to examine whether the Danish implementation of the strategy to prevent cardiovascular disease (CVD) by initiating statin (HMG-CoA reductase inhibitor) therapy in high-risk individuals is equitable across socioeconomic groups.

METHODS

DESIGN

Cohort study.

SETTING AND PARTICIPANTS

Applying individual-level nationwide register information on socio-demographics, dispensed prescription drugs and hospital discharges, all Danish citizens aged 20+ without previous register-markers of CVD, diabetes or statin therapy were followed during 2002-2006 for first occurrence of myocardial infarction (MI) and a dispensed statin prescription (N = 3.3 mill).

MAIN OUTCOME MEASURES

Stratified by gender, 5-year age-groups and socioeconomic position (SEP), incidence of MI was applied as a proxy for statin need. Need-standardized statin incidence rates were calculated, applying MI incidence rate ratios (IRR) as need-weights to adjust for unequal needs across SEP.Horizontal equity in initiating statin therapy was tested by means of Poisson regression analysis. Applying the need-standardized statin parameters and the lowest SEP-group as reference, a need-standardized statin IRR > 1 translates into horizontal inequity favouring the higher SEP-groups.

RESULTS

MI incidence decreased with increasing SEP without a parallel trend in incidence of statin therapy. According to the regression analyses, the need-standardized statin incidence increased in men aged 40-64 by 17%, IRR 1.17 (95% CI: 1.14-1.19) with each increase in income quintile. In women the proportion was 23%, IRR 1.23 (1.16-1.29). An analogous pattern was seen applying education as SEP indicator and among subjects aged 65-84.

CONCLUSION

The high-risk strategy to prevent CVD by initiating statin therapy seems to be inequitable, reaching primarily high-risk subjects in lower risk SEP-groups.

Geographic Information Systems for healthcare organizations: a primer for nursing professions

The sharing of spatial information among members of the health sector can have vast strategic and operational benefits. Geographic Information Systems, or GIS, can be a key technology in optimally using this information. There are two types of applications under GIS: (1) studying health outcomes and epidemiology and (2) studying and informing healthcare delivery. With the advent of GIS that can be used over the Internet, a wider audience of decision makers and stakeholders now has the opportunity to use these technologies through something as simple as a Web browser. There is a small but growing number of published articles giving examples of using GIS for nursing practice and research. However, increased efforts are needed to make nurses, other health professionals, and health organizations aware of the possibilities of these information products for empowering their decision making. An incremental "capacity building" approach is proposed as the best way forward for sustainable and sustained nursing GIS development. The aims of this article are (1) to provide a brief nontechnical overview for readers not familiar with GIS, (2) to provide a framework for the adoption of GIS in health service organizations, and (3) to identify ways in which GIS can impact on the nursing management of patients.

Choice of first antihypertensive--are existing guidelines ignored?

AIMS

To determine adherence to hypertension guidelines in relation to age and diabetes.

METHODS

The Irish HSE-PCRS prescribing database identified patients initiating antihypertensive monotherapy in 2005. Logistic regression predicted the likelihood of therapy according to guidelines.

RESULTS

The odds ratio (OR) of receiving therapies according to the guideline recommendations in those <55 years vs. > or =55 years was 1.31 (95% CI 1.26, 1.37). Diabetics were more likely than nondiabetics to receive antihypertensives other than beta-adrenoceptor blockers (OR 2.97, 95% CI 2.74, 3.21).

CONCLUSIONS

Our findings show some adherence to the guidelines in relation to age but selective prescribing of antihypertensives for diabetics.