Blood pressure control in Australian general practice: analysis using general practice records of 1.2 million patients from the MedicineInsight database

INTRODUCTION

Hypertension is mostly managed in primary care. This study investigated the prevalence of diagnosed hypertension in Australian general practice and whether hypertension control is influenced by sociodemographic characteristics, duration since diagnosis or prescription of antihypertensive medications.

METHODS

Cross-sectional study using a large national database of electronic medical records of patients attending general practice in 2017 (MedicineInsight).

RESULTS

Of 1.2 million 'regular' patients (one or more consultations per year in every year from 2015 to 2017), 39.8% had a diagnosis of hypertension (95% confidence interval 38.7-40.9). Of these, 85.3% had their blood pressure (BP) recorded in 2017, and 54.9% (95% confidence interval 54.2-55.5) had controlled hypertension (<140/90 mmHg). BP control was lower in females (54.1%) compared with males (55.7%) and in the oldest age group (52.0%), with no differences by socioeconomic status. Hypertension control was lower among 'regular' patients recently diagnosed (6-12 months = 48.6% controlled) relative to those more than 12 months since diagnosis (1-2 years = 53.6%; 3-5 years 55.5%; >5 years = 55.0%). Among recently diagnosed 'regular' patients, 59.2% had no record of being prescribed antihypertensive therapy in the last 6 months of the study, of which 44.3% had controlled hypertension. For those diagnosed more than 5 years ago, 37.4% had no record of being prescribed antihypertensive patients, and 56% had normal BP levels.

CONCLUSION

Although the prevalence of hypertension varied by socidemographics, there were no differences in BP assessment or control by socioeconomic status. Hypertension control remains a challenge in primary care, and electronic medical records provide an opportunity to assess hypertension management.

Epidemiology of chronic kidney disease in Australian general practice: National Prescribing Service MedicineWise MedicineInsight dataset

AIM

To describe sociodemographic characteristics and comorbidities of a large cohort of Australian general practice-based patients identified as having chronic kidney disease (CKD), using data from National Prescribing Service (NPS) MedicineWise's MedicineInsight dataset, and compare this dataset to the 2011-2012 Australian Health Survey's (AHS) CKD prevalence estimates.

METHODS

This was a cohort study using deidentified, longitudinal, electronic health record data collected from 329 practices and 1 483 416 patients distributed across Australia, from 1 June 2013 until 1 June 2016. Two methods were used to calculate the CKD prevalence. One used the same method as used by the 2011-2012 AHS, based on one estimate of the estimated glomerular filtration rate (eGFR) or albumin/creatinine ratios (ACR). The other defined CKD more rigorously using eGFR or ACR results at least 90 days apart.

RESULTS

In 2016, of 1 310 602 active patients, 710 674 (54.2%) did not have an eGFR or ACR test, while 524 961 (40.1%) had an eGFR or ACR test but did not meet AHS criteria for CKD. Age-sex adjusted rates of CKD (compared to AHS) were CKD 1-0.45% (3.9%), CKD 2-0.62% (2.5%), CKD 3a: 3.1% (2.7%), CKD 3b: 1.14% (0.6%), CKD 4-5: 0.41% (0.3%). The CKD cohort defined more rigorously using eGFR and ACR measures >90 days apart, had comorbidities of atrial fibrillation (30.5%), cardiovascular disease (25.0%), diabetes mellitus (17.1%) and hypertension (14.8%).

CONCLUSION

The MedicineInsight dataset contains valuable and timely information about Australian patients with CKD, and provides prevalence estimates similar to those from AHS data.

The Use of Primary Care Electronic Health Records for Research: Lipid Medications and Mortality in Elderly Patients

General practice electronic health record (EHR) data have significant potential for clinical research. This study demonstrates the feasibility of utilising longitudinal EHR data analysis to address clinically relevant outcomes and uses the relationship between lipid medication prescription and all-cause mortality in the elderly as an exemplar for the validity of this methodology. EHR data were analysed to describe the association of lipid medication use, non-use or cessation with all-cause mortality in patients aged ≥75 years. Survival analysis with Cox regression was used to calculate hazard ratios, which were adjusted for confounders. There was no significant difference in all-cause mortality among patients according to their use, non-use, or cessation of lipid medications. The outcomes of this study correlate well with the results of other research works. This single-practice study demonstrates the feasibility and potential of analysing EHR data to address important clinical issues such as the relationship between all-cause mortality and lipid medication prescription in the elderly.

How We Should Assess the Delivery of End-Of-Life Care in General Practice? A Systematic Review

BACKGROUND

The majority of end-of-life (EOL) care occurs in general practice. However, we still have little knowledge about how this care is delivered or how it can be assessed and supported.

AIM

(i) To review the existing evaluation tools used for assessment of the delivery of EOL care from the perspective of general practice; (ii) To describe how EOL care is provided in general practice; (iii) To identify major areas of concern in providing EOL care in this context.

DESIGN

A systematic review.

DATA SOURCES

Systematic searches of major electronic databases (Medline, EMBASE, PsycINFO, and CINAHL) from inception to 2017 were used to identify evaluation tools focusing on organizational structures/systems and process of end-of-life care from a general practice perspective.

RESULTS

A total of 43 studies representing nine evaluation tools were included. A relatively restricted focus and lack of validation were common limitations. Key general practitioner (GP) activities assessed by the evaluation tools were summarized and the main issues in current GP EOL care practice were identified.

CONCLUSIONS

The review of evaluation tools revealed that GPs are highly involved in management of patients at the EOL, but there are a range of issues relating to the delivery of care. An EOL care registration system integrated with electronic health records could provide an optimal approach to address the concerns about recall bias and time demands in retrospective analyses. Such a system should ideally capture the core GP activities and any major issues in care provision on a case-by-case basis.