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Article

Medication Prescribing Quality in Australian Primary Care Patients with Chronic Kidney Disease

School of Pharmacy and Pharmacology, University of Tasmania, Private Bage 26, Hobart, Tasmania 7001, Australia
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(3), 783; https://doi.org/10.3390/jcm9030783
Submission received: 3 February 2020 / Revised: 28 February 2020 / Accepted: 8 March 2020 / Published: 13 March 2020
(This article belongs to the Section Nephrology & Urology)

Abstract

:
Background: Australian patients with chronic kidney disease (CKD) are routinely managed in general practices with multiple medications. However, no nationally representative study has evaluated the quality of prescribing in these patients. The objective of this study was to examine the quality of prescribing in patients with CKD using nationally representative primary care data obtained from the NPS MedicineWise’s dataset, MedicineInsight. Methods: A cross-sectional analysis of general practice data for patients aged 18 years or older with CKD was performed from 1 February 2016 to 1 June 2016. The study examined the proportion of patients with CKD who met a set of 16 published indicators in two categories: (1) potentially appropriate prescribing of antihypertensives, renin-angiotensin system (RAS) inhibitors, phosphate binders, and statins; and (2) potentially inappropriate prescribing of nephrotoxic medications, such as non-steroidal anti-inflammatory drugs (NSAIDs), at least two RAS inhibitors, triple therapy (an NSAID, a RAS inhibitor and a diuretic), high-dose digoxin, and metformin. The proportion of patients meeting each quality indicator was stratified using clinical and demographic characteristics. Results: A total of 44,259 patients (24,165 (54.6%) female; 25,562 (57.8%) estimated glomerular filtration (eGFR) 45–59 mL/1.73 m2) with CKD stages 3–5 were included. Nearly one-third of patients had diabetes and were more likely to have their blood pressure and albumin-to-creatinine ratio monitored than those without diabetes. Potentially appropriate prescribing of antihypertensives was achieved in 79.9% of hypertensive patients with CKD stages 4–5. The prescribing indicators for RAS inhibitors in patients with microalbuminuria and diabetes and in patients with macroalbuminuria were achieved in 69.9% and 62.3% of patients, respectively. Only 40.8% of patients with CKD and aged between 50 and 65 years were prescribed statin therapy. The prescribing of a RAS inhibitor plus a diuretic was less commonly achieved, with the indicator met in 20.6% for patients with microalbuminuria and diabetes and 20.4% for patients with macroalbuminuria. Potentially inappropriate prescribing of NSAIDs, metformin, and at least two RAS inhibitors were apparent in 14.3%, 14.1%, and 7.6%, respectively. Potentially inappropriate prescribing tended to be more likely in patients aged ≥65 years, living in regional or remote areas, or with socio-economic indexes for areas (SEIFA) score ≤ 3. Conclusions: We identified areas for possible improvement in the prescribing of RAS inhibitors and statins, as well as deprescribing of NSAIDs and metformin in Australian general practice patients with CKD.

1. Background

In 2015, an estimated 1.7 million Australian adults aged 18 years or older had indicators of chronic kidney disease (CKD), and of these, 604,000 had CKD stages 3–5 [1]. Diabetes and hypertension caused up to two-thirds of CKD cases. Approximately one in three and three in four Australian general practice patients with CKD had recorded diagnoses of diabetes and hypertension, respectively [2]. Progressive kidney damage with hypertension and diabetes leads to end-stage kidney disease (ESKD) [3]. In 2016 alone, 2800 new cases of ESKD were reported in Australia [4]. Patients with ESKD require expensive replacement therapy, and their treatment costs the Australian economy 1 billion per year [1].
Prevention of CKD progression is cost-effective and is most successful within primary care [3]. In Australia, the majority of patients with CKD stages 3–5 receive treatment from general practices [2]. Prevention of CKD progression can be achieved by treatment of modifiable risk factors and avoidance of nephrotoxic medication [3]. Kidney Health Australia’s ‘CKD management in general practice’ guideline recommends, depending on the stage of CKD, adequate treatment of hypertension, dyslipidaemia, and albuminuria [3]. It recommends controlling blood pressure at ≤140/90 mm Hg in patients with CKD alone and ≤130/80 mm Hg in those comorbid with albuminuria or diabetes [3].
Angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) are first-line antihypertensive agents in CKD patients with albuminuria or diabetes [3]. These classes of drugs not only lower blood pressure but also decrease the progression of albuminuria [3]. Statin therapy is recommended in patients with CKD and aged 50 years or older as it reduces cardiovascular risk and progression of CKD [5,6]. Australian guidelines also recommend avoiding the use of medications that can potentially damage kidney function or readily accumulate and cause toxicity [6]. These medications include non-steroidal anti-inflammatory drugs (NSAID), metformin, and a high dose of digoxin [3].
There is limited research investigating the quality of CKD care in Australian patients [7,8,9,10]. The available studies have focused on specific classes of medications [8,9] and specific regions [7,9] or single centres [10] that may not be generalisable to the broader CKD population in Australia. There remains a need to assess prescribing quality with validated indicators in patients with CKD. Smits et al. developed a set of 16 prescribing quality indicators (PQIs) [11], which were developed according to international guidelines recommendations and are relevant to evaluate the quality of CKD care in a primary care setting [12,13]. We aimed to evaluate the quality of Australian prescribing with these indicators in patients with CKD using a large and nationally representative general practice dataset.

2. Methods

We analysed retrospective data obtained from the NPS MedicineWise MedicineInsight dataset. The data were de-identified and extracted from the electronic health records (EHRs) of general practices and included demographics, encounters, diagnoses, prescriptions, observations, and pathology tests. NPS MedicineWise MedicineInsight is the largest geographically representative primary care dataset in Australia. As of October 2018, NPS MedicineWise MedicineInsight had recruited 671 general practices across Australia. A total of 2,974,031 included patients had at least three clinical encounters in the previous two years. Details about this dataset can be found elsewhere [2,14,15,16]. We used MedicineInsight data collected from 329 general practices between 1 January 2013 and 1 June 2016.
In this study, we included patients with evidence of CKD based on having two renal function tests that were performed at least three months apart with: (1) estimated glomerular filtration rate (eGFR) values <60 mL/min/1.73 m2 or (2) albumin-to-creatinine ratio (ACR) values ≥3.5 mg/mmol for females or ≥2.5 mg/mmol for males. The renal function tests were performed between 1 January 2013 and 1 June 2015. The CKD epidemiology collaboration equation (CKD-EPI) was used to calculate eGFR [17]. This definition of CKD is congruent with that recommended for the diagnosis of CKD in Australian general practice [3]. Regular patients (defined by the Royal Australian College of General Practitioners as those with three or more encounters in the previous two years) [16] were included, if at the time of data extraction (July 2016) they were aged at least 18 years. Patients were excluded if they did not have at least one follow-up general practitioner (GP) visit between 2 June 2015 and 1 June 2016, in addition to patients who died during that period.
Variables such as age, gender, socio-economic status (based on the Index of Relative Socio-economic Advantage and Disadvantage, one of the socio-economic indexes for areas (SEIFA)) [18], rurality, continuity of care (CoC), documentation of a diagnosis of CKD, and serum electrolyte levels (e.g., calcium, and phosphate) were examined. SEIFA quintile was an index developed by the Australian Bureau of Statistics (ABS) and ranks areas in Australia from 1 (most disadvantaged area) to 5 (most advantaged area) [18]. Rurality was assigned according to the postcode of the patient’s residence and classified as major cities, regional, remote, and very remote Australia [19]. SEIFA quintile was categorised into SEIFA ≤ 3 vs. SEIFA > 3 and rurality to major cities vs. regional and remote Australia. CoC was calculated for each included patient after the time of laboratory evidence of CKD, over the remainder of the data collection period, using the Herfindahl–Hirschman Index, which has been shown to be highly correlated with other common measures of CoC [20]. Its value ranged from 0 to 1 and cut off points for low and high CoC were <0.75 and >=0.75, respectively. Low CoC in general practice, measured with this index, has also been associated with a higher risk of mortality [21,22].
Documentation of a diagnosis of CKD was extracted from condition codes. Baseline comorbidities, including myocardial infarction, hypertension, and diabetes were examined. The comorbidities were based on ‘condition flags’ provided by MedicineInsight. The prescribed medications that were examined included: diuretics (anatomical therapeutic chemical (ATC) code: C03), beta-blockers (C07), calcium channel blockers (C08), ACEIs (C09A), ARBs (C09C), other agents acting on renin-angiotensin system (RAS) (C09), other antihypertensives (C02), statins (C10AA or combinations as in C10BA and C10BX), phosphate binders (A12AA04, A12AA12, V03AE, and A02AB01), erythropoiesis-stimulating agents (ESAs) (B03XA), non-steroidal anti-inflammatory drugs (NSAIDs) (M01A, M01BA and B01AC), metformin (A10BA02 or in combination as A10BD), and digoxin (C01AA05).
The recorded data included prescriptions and laboratory tests during the last four months of follow-up (between 1 February 2016 and 1 June 2016). The 16 PQIs, developed and validated by Smits et al. [11] in the Netherlands, were used to evaluate this data. They were categorised into two domains: appropriate and inappropriate PQIs. Detailed definitions for all indicators are shown in Table 4. The appropriate prescribing domain includes the first nine indicators that evaluate prescribing of all antihypertensive agents in patients with hypertension, RAS inhibitors, or diuretics in patients with proteinuria or diabetes, statins, and phosphate binders. The inappropriate prescribing domain contains the remaining seven indicators that assess the prescribing of ESA in patients with CKD and haemoglobin ≥7.5 g/dL, use of NSAIDs and metformin in patients with eGFR < 30 mL/min/1.73 m2, high-dose digoxin in patients with eGFR <50 mL/min/1.73 m2, simultaneous use of at least two RAS inhibitors, and triple therapy with an NSAID, RAS inhibitor, and diuretic. The use of phosphate binders and ESAs was not captured in our dataset as nephrologists in Australia typically prescribe them.
Simultaneous prescribing of RAS blockers was defined as at least two of the ATC codes C09A, C09B, C09C, C09D, C09X, or combination (as in C10BX) within the last four months of the follow-up (between 1 February 2016 and 1 June 2016). Simultaneous use of NSAID, RAS blocker, and diuretic was defined as at least one prescription for each of the three classes of medications during the follow-up period. It was acknowledged that we were not capable of capturing the use of over-the-counter NSAIDs. We could also not capture whether NSAIDs were prescribed as a regular medication or for ‘as needed’ use.

2.1. Statistical Analysis

Patient demographics and clinical characteristics were compared between patients with and without diabetes and are presented as numbers and proportions. The proportion of patients who met PQIs criteria are shown as percentages with 95% confidence intervals (CIs). We stratified the proportion of patients meeting each indicator by gender, age, SEIFA, rurality, CKD diagnosis documentation, and CoC. Chi-square tests were used to determine differences in the quality of prescribing with patient characteristics. All data analyses and management were conducted using the statistical and graphical computing language of R [23]. A two-sided p value of less than 0.05 was considered to indicate statistical significance.

2.2. Ethics Approval and Consent to Participate

Ethics approval was obtained from the Tasmanian Health and Medical Human Research Ethics Committee (H0015651). De-identified data obtained from the MedicineInsight for this study did not have any patient-specific information, such as date of birth, age and postcode and individual patient consent was waived for our ethics application. Patients were informed about the programme through promotional material that was displayed with the waiting room of all participating practices. Patients choice to opt-out from the programme was respected, and robust and effective security controls safeguarded their safety.

3. Results

3.1. Baseline Charactersitics

The cohort was composed of 44,259 patients with evidence of CKD. Of these, 24,165 (54.6%) were females, and 70% were aged 70 years or older. Most patients (57.8%) had eGFR values between 45 and 59 mL/min/1.73 m2. Only a quarter of patients with evidence of CKD had documentation of the diagnosis, and documentation was less likely with increasing age (e.g., 51.3% for patients aged 30–39 years with evidence of CKD vs. 23.9% in those aged ≥80 years; p < 0.001). The sociodemographic and clinical characteristics of the study participants, including medications prescribed and monitoring performed, are shown in Table 1, Table 2 and Table 3.
A total of 13,263 patients (30%) had diabetes. Of these, 11,608 (87.5%) and 6608 (87.5%) had hypertension and a history of myocardial infarction, respectively (Table 2). Of 39,716 (89.7%) patients who had a recorded blood pressure measurement, 13,338 (33.6%) had uncontrolled blood pressure (>140/90 mm Hg). The proportion of patients with uncontrolled blood pressure was slightly higher in patients with diabetes (34.4% vs. 33.2%, p = 0.03) than in those without diabetes. Antihypertensive medication prescribing was significantly higher in CKD patients with diabetes compared with those without diabetes (82.1% vs. 70.6%, p < 0.001). Compared with CKD patients without diabetes, CKD patients with diabetes were more likely to be prescribed an ACEI/ARB (64.1% vs. 51.5%, p < 0.001). Over 60% of CKD patients with diabetes were prescribed a statin compared with less than 40% without diabetes (p < 0.001) (Table 3).
Only a few patients had recorded treatment with phosphate binders, ESAs, and vitamin D. Therefore, the three PQIs: seven, eight, and nine that assess appropriate prescribing of phosphate binders and the two PQIs: 11 and 12 that evaluate inappropriate prescribing of vitamin D and ESAs were not operational. These five indicators were excluded from further analyses.

3.2. Appropriate Prescribing

Among patients with CKD stages 4–5 and hypertension, 79.9% overall and 83.5% of those aged ≥65 years were prescribed antihypertensive agents. The proportion of patients with microalbuminuria (ACR 2.5–25 mg/mmol for males, 3.5–35 mg/mmol for females) and diabetes who were prescribed an ACEI/ARB or an ACEI/ARB plus a diuretic were 69.9% and 20.6%, respectively. Overall, the prescribing of ACEI/ARB in patients with macroalbuminuria (ACR > 25 mg/mmol for males, >35 mg/mmol for females) was 62.3%. This was significantly higher in those patients aged ≥65 years than those < 65 years (65.4% vs. 56.1%, p < 0.001) and in those without documented CKD diagnosis (64.5% vs. 60.0%, p = 0.046) than those documented. The proportion of patients with macroalbuminuria who were prescribed an ACEI/ARB plus a diuretic was 20.4%, overall, and was significantly higher in those aged ≥65 years (22% vs. 16.7%, p = 0.021) than those <65 years (Table 4 and Supplementary Figure S1).
We examined the prescribing of statins in CKD patients with diabetes and in those aged between 50 and 65 years, as guidelines recommend statin use in both of these groups [12]. The proportion of patients who were prescribed a statin was 39.9% in patients without diabetes and 60.6% in patients with diabetes. The percentage of statin prescribing was 40.8% in patients with CKD aged between 50 and 65 years. Prescribing of statins in this age group was more common in patients with a SEIFA score ≤3 than >3 (45.3% vs. 38.9%, p < 0.001) and in patients with a documented CKD diagnosis (45.1% vs. 38.9%, p < 0.001) (Table 4 and Supplementary Figure S1).

3.3. Potentially Inappropriate Prescribing

The percentage of patients with potentially inappropriate prescribing of an NSAID in combination with a RAS blocker and a diuretic (triple therapy) was 2.6%, overall. It was higher in those whose CKD diagnosis was documented (3.0% vs. 2.5%, p = 0.002) than not documented, and in those aged ≥65 years (2.7% vs. 2.0%, p = 0.004) than aged <65 years. It was slightly higher in patients with SEIFA score ≤3 than >3 (3.2% vs. 2.4%, p < 0.001) and in CKD patients living in regional and remote areas than in patients living in major cities (2.8% vs. 2.5%; p = 0.032) (Table 4 and Supplementary Figure S2). Among patients with eGFR < 30 mL/min/1.73 m2, the proportion prescribed an NSAID was 14.3% overall and was higher in patients aged ≥65 years (15.1 vs. 9.4%, p < 0.001) than those aged <65 years and in patients with SEIFA score ≤3 (15.9% vs. 13.6%, p = 0.033) than those with SEIFA score >3.
Of those patients with CKD stages 3–5 and prescribed a RAS blocker, 7.6% were prescribed at least two RAS blockers simultaneously. This was more likely in patients with SEIFA score ≤3 than >3 (8.3% vs. 7.3%; p = 0.005) and in patients living in major cities than those living in regional and remote areas (8.0% vs. 7.0%; p = 0.002) (Table 4 and Supplementary Figure S2).
There were 5130 patients with diabetes who were prescribed metformin. Of 1967 patients with a diagnosis of diabetes and with an eGFR < 30 mL/min/1.73 m2, 278 (14.1%) were potentially inappropriately prescribed metformin. This was slightly greater in patients living in regional and remote Australia (16.8%) than those living in major cities (12.3%; p = 0.005) and in patients whose CKD diagnosis was not documented (16.3% vs. 12.5%; p = 0.018) (Table 4, Supplementary Figure S2).
In patients with an eGFR < 50 mL/min/1.73 m2, the proportion prescribed high-dose digoxin (0.125 mg/day) was 3.8%. This was higher in females (4.1% vs. 3.3%, p < 0.001), in those aged ≥65 years (4.0% vs. 1.1%, p < 0.001) than aged <65 years, and in those living in regional and remote areas (4.2% vs. 3.5%, p = 0.002) than those living in major cities (Table 4 and Supplementary Figure S2).

4. Discussion

This study is the most extensive to date that evaluates the quality of medication prescribing in Australian general practice patients with CKD, utilising a set of 16 validated indicators and based on diabetes status [11]. Potential gaps in prescribing CKD progression protective medications and avoiding nephrotoxic drugs were identified. ACEIs/ARBs in patients with proteinuria or diabetes and statins in patients aged between 50 and 65 years were found to be under-prescribed. Potential inappropriate prescribing identified included simultaneous prescribing of at least two RAS inhibitors, prescribing of NSAIDs and metformin in patients with eGFR <30 mL/min/1.73 m2, and use of high-dose digoxin in patients with an eGFR < 50 mL/min/1.73 m2. With at least one indicator, inappropriate prescribing was more common in patients with SEIFA ≤ 3, aged ≥65 years, or living in regional and remote Australia. Compared with patients without diabetes, patients with diabetes generally received more comprehensive blood pressure and laboratory monitoring and pharmacotherapy.
Despite strong evidence for the efficacy of ACEI/ARB to reduce proteinuria and slow progression of CKD to ESKD, less than 70% of Australian adult patients with CKD stages 3–5 with diabetes and microalbuminuria were receiving an ACEI or ARB. The prescribing of an ACEI or ARB in patients with CKD with albuminuria was slightly lower in Australian general practice compared to that reported in other developed nations [24,25,26,27]. Studies from different provinces of Canada [24,25,26] investigating prescribing in CKD patients reported rates of 74% to 80% for ACEI or ARB prescribing, while a study conducted in the Netherlands found prescribing in 78% and 82% of non-diabetes and diabetes patients, respectively [11]. The reason for the low rate of ACEI/ARB prescribing could be non-concordance to Australian CKD treatment guidelines, including not referring patients to nephrology care [3]. The cost of ACEI/ARB probably had a limited impact on the rate of their prescription as these medications are subsidized by the Australian Pharmaceutical Benefits Scheme (PBS).
It was unexpected to find no difference or even low rates of an ACEI or ARB/an ACEI or ARB plus diuretic prescribing in patients with proteinuria and documented CKD compared to those without documented CKD. This might suggest that GPs awareness of patients’ CKD status did not necessarily compel them to prescribe an ACEI/ARB. They may have other valid reasons for not prescribing, including hyperkalemia, hypotension, and acute renal injury (AKI) [28]. Among CKD patients with proteinuria who were receiving multiple antihypertensive agents, only a fifth use an ACEI/ARB in combination with a diuretic (double therapy) in this study. Double and triple (ACEI/ARB plus a diuretic plus an NSAID) therapies are associated with AKI [29], which might have discouraged GPs from prescribing. However, compared with those with triple therapy, the risk of developing AKI is less likely in patients with double therapy [29]. Combining ACEI/ARB with a thiazide diuretic instead of a loop diuretic might reduce the risk of discontinuation of ACEI/ARB [30]. The risk of inducing hypotension and the associated fall in elderly patients might outweigh the renoprotective effect gained by combining an ACEI/ARB with a diuretic, and it might have also prevented GPs from prescribing [30,31].
Statins are relatively well-tolerated medications and are beneficial in lowering the risk of cardiovascular events in patients with CKD [12,32]. Notwithstanding the PBS restrictions on the prescribing of statins, the current Kidney Disease: Improving Global Outcomes (KDIGO) and Kidney Health Australia’s guidelines [3,12] recommend statin or statin/ezetimibe treatment in adults aged 50 years and over with eGFR < 60 mL/min/1.73 m2 but not treated with chronic dialysis or kidney transplantation. In this study, only 40.8% of patients aged 50 to 65 years were receiving statins. These rates were less than a 54% lipid-lowering medication prescribing rate in primary care patients with CKD reported by a prior Australian study, AusHEART [33]. A study by Smits et al. [11] in the Netherlands using the same indicators reported a higher (74%) rate of statin prescribing in patients with CKD stages 3–5 aged 50 to 65 years. The significantly low rate of statin prescribing in those patients without documented CKD diagnosis (38.9%) suggests that lack of CKD recognition by GPs might be one reason for the low rate of statin prescribing.
Statin side effects and interactions were the main concerns of Australian patients taking statin [34], and which were also cited as the most commons reasons for statin discontinuation elsewhere [35]. The low rate of statin therapy in this study could be related to public concern over perceived adverse reactions following an extensive media campaign about the negative effect of statins [36]. The other likely reason is the lack of PBS subsidisation for statin therapy for CKD in the absence of other indications [37].
Our study indicated that patients living in relatively disadvantaged socio-economic areas (SEIFA score ≤ 3) were more likely to be prescribed potentially inappropriate NSAIDs, simultaneous use of at least two RAS inhibitors, and triple therapy (combined use of an NSAID, a RAS inhibitor and a diuretic). Similarly, patients from regional or remote areas of Australia were more likely to be prescribed potentially inappropriate digoxin, metformin, and triple therapy. These findings suggest that patients living in disadvantaged socio-economic areas, as well as regional and remote areas, may receive a lower quality of CKD care than patients living in socio-economic most advantaged areas or major cities. The health care inequality between regional/remote areas and major cities of Australia has been the subject of many reports and initiatives [38]. Three in five people in remote/very remote areas did not see a specialist because of distance, and people in outer regional and remote/very remote areas were less likely to have a usual GP [38]. Inequality in prescribing has also been found elsewhere. A study in France [39] reported that inappropriate prescribing was highest in older people living in municipalities with low socio-economic status. A similar study conducted in Ireland [40] also found that inappropriate prescribing was more prevalent in relatively deprived patients aged over 70 years.
In this study, patients with CKD and aged 65 years or over were more likely to be prescribed nephrotoxic medications: triple therapy, high-dose digoxin, and NSAIDs. One possible explanation is that some GPs may not consider an eGFR measurement between 45–59 mL/min/1.73 m2 as evidence of CKD in older individuals. They might consider these eGFR values as reflecting the normal physiological changes related to aging.
Unlike a previous study by Khanam et al. [31], using MedicineInsight data, which found higher CoC led to better blood pressure control, this study found no significant differences in prescribing quality between patients with higher and lower CoC.

5. Strengths and Limitations

This study had a large sample size, and patient characteristics within the MedicineInsight dataset are similar to the Australian population [2,14,16]. However, there are several limitations. Medications prescribed solely by specialists, such as nephrologists and cardiologists, who worked in hospitals and speciality clinics were not recorded in NPS MedicineWise MedicineInsight. For instance, phosphate binders and ESAs are not usually prescribed by GPs (generally prescribed by nephrologists), and thus our data were not complete on the use of these medications.
We did not account for medication contraindications and adverse drug reactions that may have prevented GPs from prescribing a specific class of medication to patients. Adverse drug reactions are recorded in free text in ‘Allergies/Reactions Table’ in the NPS MedicineWise MedicineInsight dataset. This table is not an event-based table and does not necessarily record each occurrence of adverse drug reaction. Free-text search for an adverse drug reaction from this table is of poor quality.
NSAIDs are also available without a prescription, but we could only obtain data on prescribed NSAIDs. Simultaneous prescribing of at least two RAS blockers within the four months might not necessarily indicate concomitant inappropriate use. It might be an overlapping period of switching from one RAS blocker monotherapy to the other. We also did not investigate the impact of medication use on patient outcomes.
GPs collected the data for clinical decision making, not for research purposes. The EHRs may not contain all sociodemographic and clinical characteristics. For instance, indigenous status was not recorded for 24.3% of the patients. There is a possibility that aspects of patients’ medical history, prescriptions, and laboratory tests were recorded in notes and not included in the research data, which used specified fields and not the body of free-text consultation notes.
We noted that including only regular patients (who had three or more clinical encounters in past two years) in this study potentially introduced selection bias by including more older patients with multiple comorbidities who visited their GP more frequently. However, four in five Australian patients visited their GP multiple times in a year [41], and nearly all patients could visit their GP at least three times in two years. In conclusion, we identified the potential for possible improvement in the prescribing of recommended preventive medications and deprescribing of nephrotoxic medication in patients with CKD in Australian primary care. Programmes to optimise the quality use of medications should focus on improving the prescribing practices for protective medications, such as an ACEI or ARB and a statin, and deprescribing concurrent NSAIDs and RAS blockers in patients with CKD.

Supplementary Materials

The data we used for this study is stored only in Australia and can be obtained from MedicineInsight. The following are available online at https://www.mdpi.com/2077-0383/9/3/783/s1, Figure S1: Appropriate prescribing in patients with chronic kidney disease (CKD) stages 3-5 assessed with prescribing quality indicators (PQIs), Figure S2: Potential inappropriate prescribing assessed with five prescribing quality indicators (PQIs).

Author Contributions

W.M.B., A.K., G.M.P., L.R.B., M.J. and J.R. conceived the study design. A.K. and T.S. analysed the data. W.M.B. wrote the first draft of the manuscript. All authors (W.M.B., A.K., T.S., J.R., L.R.B., G.M.P., M.J. and B.C.W.) reviewed and provided feedback several times on the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors would like to acknowledge the NPS MedicineWise MedicineInsight for providing the data.

Conflicts of Interest

The authors declare no conflict of interest.

Consent for Publication

Not applicable.

Abbreviations

ACEIsangiotensin-converting enzyme inhibitors
ACRalbumin-to-creatinine ratio
AKIacute kidney injury
ARBsangiotensin receptor blockers
ATCanatomical therapeutic chemical
CKDchronic kidney disease
CoCcontinuity of care
EHRselectronic health records
eGFRestimated glomerular filtration rate
ESAserythropoiesis-stimulating agents
GPsgeneral practitioners
KDIGOKidney Disease: Improving Global Outcomes
NSAIDsnon-steroidal anti-inflammatory drugs
PQIsprescribing quality indicators
RASrenin-angiotensin system
SEIFAsocio-economic indexes for areas

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Table 1. Baseline sociodemographic characteristics of patients with chronic kidney disease (CKD) overall and by diabetes status.
Table 1. Baseline sociodemographic characteristics of patients with chronic kidney disease (CKD) overall and by diabetes status.
Overall, n = 44,259 n (%)Diabetesp Value
No n = 30,996 n (%)Yes n = 13,263 n (%)
Age groups (years) <0.836
<654373 (9.9)3069 (9.9)1304 (9.8)
≥6539,886 (90.1)27,927 (90.1)11,959 (90.2)
Female 24,165 (54.6)17,620 (56.8)6545 (49.3)<0.001
Indigenous Status <0.001
Indigenous436 (1.0)212 (0.7)224 (1.7)
Non-Indigenous33,067 (74.7)23,020 (74.3)10,047 (75.8)
Missing10,756 (24.3)7764 (25.0)2992 (22.6)
SEIFA quintile *
≤3 12,254 (27.8)8302 (26.9)3952 (30.0)<0.001
>3 31,754 (72.2)22,559 (73.1)9225 (70.0)
Missing251 (0.6)165 (0.5)86 (0.6)
Rurality * <0.001
Major Cities of Australia 26,617 (60.4)18,468 (59.9)8149 (61.8)
Regional and Remote Australia 17,420 (39.6)12,385 (40.1)5035 (38.2)
Missing222 (0.5)143 (0.5)79 (0.6)
GP Continuity of Care <0.001
Low (<0.75)17,421 (39.4)11,917 (38.5)5504 (41.5)
High (≥0.75)26,833 (60.6)19,075 (61.5)7758 (58.5)
Missing5 (0.0)1 (0.0)4 (0.0)
Documentation of CKD11,618 (26.3)7722 (24.9)3896 (29.4)<0.001
SEIFA, socio-economic indexes for areas; GP, general practitioner. * Excludes patients without a recorded postcode in the electronic health record.
Table 2. Comorbidities of patients with CKD overall and by diabetes status.
Table 2. Comorbidities of patients with CKD overall and by diabetes status.
Overall, n = 44,259 n (%)Diabetesp Value
No n = 30,996 n (%)Yes n = 13,263 n (%)
CKD Stage <0.001
Stage 3a (45–59 mL/min/1.73 m2)25,562 (57.8)18,724 (60.4)6838 (51.6)
Stage 3b (30–44 mL/min/1.73 m2)13,551 (30.6)9093 (29.3)4458 (33.6)
Stage 4 (15–29 mL/min/1.73 m2)4186 (9.5)2573 (8.3)1613 (12.2)
Stage 5 (<15 mL/min/1.73 m2)960 (2.2)606 (2.0)354 (2.7)
ACR (mg/mmol) 0.023
Normal
<2.5 (male)
<3.5 (female)
7877 (17.8)3838 (12.4)4039 (30.5)
Microalbuminuria
2.5–25 (male)
3.5–35 (female)
4707 (10.6)1719 (5.6)2978 (22.5)
Macroalbuminuria
>25 (male)
>35 (female)
2427 (5.5)897 (2.9)1530 (11.5)
Missing29,248 (66.1)24,532 (79.1)4716 (35.6)
Indigenous Status <0.001
Indigenous436 (1.0)212 (0.7)224 (1.7)
Non-Indigenous33,067 (74.7)23,020 (74.3)10,047 (75.8)
Missing10,756 (24.3)7764 (25.0)2992 (22.6)
Comorbidities
Hypertension35,386 (80.0)23,778 (76.7)11,608 (87.5)<0.001
Myocardial infarction17,945 (40.5)11,688 (37.7)6257 (47.2)<0.001
Atrial fibrillation 7038 (15.9)4893 (15.8)2145 (16.2)0.315
Anxiety5658 (12.8)4124 (13.3)1534 (11.6)<0.001
Bipolar disorder 505 (1.1)365 (1.2)140 (1.1)0.290
Schizophrenia 363 (0.8)227 (0.7)136 (1.0)0.002
ACR, albumin-to-creatinine ratio; CKD, chronic kidney disease.
Table 3. Proportion of patients with CKD receiving monitoring and medications by diabetes status.
Table 3. Proportion of patients with CKD receiving monitoring and medications by diabetes status.
Total n = 44,259 n (%)Diabetesp Value
No n = 30,996 n (%)Yes n = 13,263 n (%)
Blood Pressure
Patients with BP Recorded39,716 (89.7)27,411 (88.4)12,305 (92.8)<0.001
Low Diastolic BP (<70 mmHg)13,602 (34.2)8935 (32.6)4667 (37.9)<0.001
High Systolic BP (>140 mmHg)13,338 (33.6)9108 (33.2)4230 (34.4)0.033
Pathology
Patients with phosphate test recorded23,133 (52.3)16,060 (51.8)7073 (53.3)0.004
Elevated phosphate level (>1.49 mmol/L)1322 (5.7)872 (5.4)450 (6.4)0.005
Patients with calcium test recorded22,818 (51.6)16,096 (51.9)6722 (50.7)0.017
Elevated calcium level (>2.54 mmol/L)1343 (5.9)893 (5.5)450 (6.7)<0.001
Low calcium level (<2.10 mmol/L)589 (2.6)409 (2.5)180 (2.7)0.584
Patients with Hb test recorded40,601 (91.7)28,723 (92.7)11,878 (89.6)<0.001
Low Hb level (<7.5 mmol/L)14,125 (34.8)9252 (32.2)4873 (41.0)<0.001
Medication
Antihypertensives
At least one antihypertensives 32,782 (74.1)21,893 (70.6)10,889 (82.1)<0.001
Diuretic9539 (21.6)5956 (19.2)3583 (27.0)<0.001
Beta Blocker10,763 (24.3)6862 (22.1)3901 (29.4)<0.001
Calcium Channel Blocker9551 (21.6)6232 (20.1)3319 (25.0)<0.001
ACEI or ARB24,485 (55.3)15,978 (51.5)8507 (64.1)<0.001
Multiple ACEI or ARB1859 (4.2)1066 (3.4)793 (6.0)<0.001
Statin20,411 (46.1)12,370 (39.9)8041 (60.6)<0.001
All phosphate binders244 (0.6)155 (0.5)89 (0.7)0.031
Non-calcium-containing phosphate binders67 (0.2)41 (0.1)26 (0.2)0.148
Calcium-containing phosphate binders182 (0.4)119 (0.4)63 (0.5)0.197
Vitamin D1444 (3.3)939 (3.0)505 (3.8)<0.001
ESAs42 (0.1)24 (0.1)18 (0.1)0.098
NSAIDs7426 (16.8)4862 (15.7)2564 (19.3)<0.001
Metformin5189 (11.7)59 * (0.2)5130 (38.7)<0.001
Digoxin 1516 (3.4)976 (3.1)540 (4.1)<0.001
BP, blood pressure; Hb, haemoglobin; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ESAs, erythropoiesis-stimulating agents; NSAIDs, non-steroidal anti-inflammatory drugs. Includes all antihypertensives with anatomical therapeutic chemical (ATC) code C02, C03, C07, C08, C09, or combinations (as in C10BX). * Patients with a prescription for metformin who did not have a recorded diagnosis of type 2 diabetes.
Table 4. Number and proportion of patients meeting prescribing quality indicators by rurality, socio-economic indexes for areas (SEIFA) and CKD documentation [4].
Table 4. Number and proportion of patients meeting prescribing quality indicators by rurality, socio-economic indexes for areas (SEIFA) and CKD documentation [4].
Quality IndicatorNumeratorDenominatorPercentagep Value
Treatment of Hypertension
1. Percentage of patients aged 18 to 80 years with CKD stages 4–5 and hypertension who are prescribed antihypertensives unless undesirable because of low diastolic blood pressureOverall * 1029128879.9
RuralityMajor cities of Australia53267279.20.565
Regional and Remote Australia49060980.5
SEIFA quintile≤334543379.70.947
>367784879.8
CoCHigh37545981.70.228
Low65482978.9
CKD documentedNo38048578.40.284
Yes64980380.8
Systolic BP>140 mmHg45557379.40.541
≤140 mmHg58872880.8
Age<65 years31843772.8<0.001
≥65 years71185183.5
SexFemale45056180.20.800
Male57972779.6
2. Percentage of patients aged 18 to 80 years with CKD stages 3–5 and macroalbuminuria treated with multiple antihypertensives who are prescribed a combination of an ACEI or ARB and a diureticOverall * 298146420.4
RuralityMajor cities of Australia17483720.80.679
Regional and Remote Australia12361819.9
SEIFA quintile≤39449619.00.315
>320395821.2
CoCHigh10452819.70.639
Low19493620.7
CKD documentedNo14875119.70.527
Yes15071321.0
Systolic BP>140 mmHg14364322.20.123
≤140 mmHg15079219.0
Age<65 years7444416.70.021
≥65 years224102022
SexFemale10246821.80.348
Male19699619.7
3. Percentage of patients aged 18 to 80 years with CKD stages 3–5, microalbuminuria and diabetes treated with multiple antihypertensives who are prescribed a combination of an ACEI or ARB and a diureticOverall * 337163420.6
RuralityMajor cities of Australia19095619.90.270
Regional and Remote Australia14766422.1
SEIFA quintile≤311051321.40.672
>3227110620.5
CoCHigh14464122.50.140
Low19399319.4
CKD documentedNo216107520.10.462
Yes12155621.8
Systolic BP>140 mmHg11956321.10.667
≤140 mmHg213105320.2
Age<65 years4022817.50.215
≥65 years297140621.1
SexFemale14965522.70.083
Male18897919.2
Treatment of albuminuria
4. Percentage of patients aged 18 to 80 years with CKD stages 3–5 and macroalbuminuria who are prescribed an ACEI or ARBOverall * 1084174162.3
RuralityMajor cities of Australia636101662.60.725
Regional and Remote Australia44171461.8
SEIFA quintile≤335357361.60.705
>3723115662.5
CoCHigh38764560.00.135
Low697109663.6
CKD documentedNo57889864.50.046
Yes50684560.0
Age<65 years33159056.1<0.001
≥65 years753115165.4
SexFemale32754460.10.212
Male757119763.2
5. Percentage of patients aged 18 to 80 years with CKD stages 3–5, microalbuminuria and diabetes who are prescribed an ACEI or ARBOverall * 1252179069.9
RuralityMajor cities of Australia738106469.40.516
Regional and Remote Australia50270970.8
SEIFA quintile≤339354672.00.207
>3846122669.0
CoCHigh50270571.20.348
Low750108569.1
CKD documentedNo841117971.30.075
Yes41161167.3
Age<65 years176259680.450
≥65 years1076153170.3
SexFemale49671169.80.891
Male759107970.1
Prescription of statins
6. Percentage of patients aged 50 to 65 years with CKD stages 3–5 who are prescribed a statinOverall * 1508369340.8
RuralityMajor cities of Australia823202340.70.898
Regional and Remote Australia669163640.9
SEIFA quintile≤3488107745.3<0.001
>31004258138.9
CoCHigh542129242.00.311
Low966240140.2
CKD documentedNo991254738.9<0.001
Yes517114645.1
SexFemale714181439.40.073
Male794187942.3
Treatment of MBD
7. Percentage of patients aged 18 to 80 years with CKD stages 3–5 and with an elevated phosphate level who are prescribed a phosphate binder548156.6
8. Percentage of patients aged 18 to 80 years with CKD stages 3–5 treated with phosphate binders and with an elevated calcium level who are prescribed a non-calcium-containing phosphate binder5771.4
9. Percentage of patients aged 18 to 80 years with CKD stages 3–5 treated with phosphate binders and with a low calcium level who are prescribed a calcium-containing phosphate binder61250.0
Medication safety
10. Percentage of patients 18 years or older with CKD stages 3–5 and a prescription of RAS blockers who are prescribed at least two RAS blockers simultaneouslyOverall * 185924,4857.6
RuralityMajor cities of Australia117514,6398.00.002
Regional and Remote Australia67897327.0
SEIFA quintile≤358770378.30.005
>3126417,3177.3
CoCHigh72797567.50.499
Low113214,7297.7
CKD documentedNo133918,0737.40.069
Yes52064128.1
Age<65 years18220768.80.035
≥65 years167722,4097.5
SexFemale100713,4667.50.455
Male85211,0197.7
11. Percentage of patients 18 years or older with CKD stages 3–5 and elevated calcium levels who are prescribed active vitamin D6713435.0
12. Percentage of patients 18 years or older with CKD stages 3–5 and Hb ≥ 7.5 who are prescribed ESA026,4760.0
13. Percentage of patients 18 years or older with Egfr < 30 mL/min/1.73 m2 who are prescribed a NSAIDOverall * 735514614.3
RuralityMajor cities of Australia421305413.80.201
Regional and Remote Australia312207215.1
SEIFA quintile≤3238149615.90.033
>3494362713.6
CoCHigh295205814.30.935
Low440308714.3
CKD documented No352236714.90.266
Yes383277913.8
Age<65 years687249.4<0.001
≥65 years667442215.1
SexFemale360264813.60.147
Male375249815.0
14. Percentage of patients 18 years or older with Egfr < 30 mL/min/1.73 m2 and diabetes who are prescribed metforminOverall * 278196714.1
RuralityMajor cities of Australia149120812.30.005
Regional and Remote Australia12674916.8
SEIFA quintile≤38060813.20.444
>3195134914.4
CoCHigh11982914.40.810
Low159113814.0
CKD documented No13683516.30.019
Yes142113212.5
Age<65 years3224413.10.625
≥65 years246172314.3
SexFemale12795713.30.285
Male151101015
15. Percentage of patients 18 years or older with eGFR < 50 mL/min/1.73 m2 who are prescribed digoxin > 0.125 mg/dayOverall *99526,4343.8
RuralityMajor cities of Australia55816,0203.50.002
Regional and Remote Australia43310,2824.2
SEIFA quintile≤329373944.00.295
>369718,8933.7
CoCHigh36610,6233.40.025
Low62915,8074.0
CKD documentedNo69617,5474.00.015
Yes29988873.4
Age<65 years2522521.1<0.001
≥65 years97024,1824.0
SexFemale59614,4114.1<0.001
Male39912,0233.3
16. Percentage of patients 18 years or older with CKD stages 3–5 and who are prescribed with a combination of NSAID, RAS blocker and diureticOverall * 116044,2592.6
RuralityMajor cities of Australia66326,6172.50.032
Regional and Remote Australia49217,4202.8
SEIFA quintile≤339712,2543.2<0.001
>375731,7582.4
CoCHigh45217,4212.60.777
Low70826,8332.6
CKD documentedNo80932,6412.50.002
Yes35111,6183.0
Age<65 years 8643732.00.004
≥65 years 107439,8862.7
SexFemale64024,1652.60.691
Male52020,0942.6
BP, blood pressure; CKD, chronic kidney disease; MBD, mineral and bone density; CoC, continuity of care; SEIFA, socio-economic indexes for areas; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; RAS, renin-angiotensin system; eGFR, estimated glomerular filtration rate; ESAs, erythropoiesis-stimulating agents; NSAIDs, non-steroidal anti-inflammatory drugs. * ‘Patient SEIFA’, ‘Patient Rurality’, Patient CoC’, and ‘CKD documented’ for the indicator does not add up to ‘Overall’ due to missing data.

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MDPI and ACS Style

Bezabhe, W.M.; Kitsos, A.; Saunder, T.; Peterson, G.M.; Bereznicki, L.R.; Wimmer, B.C.; Jose, M.; Radford, J. Medication Prescribing Quality in Australian Primary Care Patients with Chronic Kidney Disease. J. Clin. Med. 2020, 9, 783. https://doi.org/10.3390/jcm9030783

AMA Style

Bezabhe WM, Kitsos A, Saunder T, Peterson GM, Bereznicki LR, Wimmer BC, Jose M, Radford J. Medication Prescribing Quality in Australian Primary Care Patients with Chronic Kidney Disease. Journal of Clinical Medicine. 2020; 9(3):783. https://doi.org/10.3390/jcm9030783

Chicago/Turabian Style

Bezabhe, Woldesellassie M., Alex Kitsos, Timothy Saunder, Gregory M. Peterson, Luke R. Bereznicki, Barbara C. Wimmer, Matthew Jose, and Jan Radford. 2020. "Medication Prescribing Quality in Australian Primary Care Patients with Chronic Kidney Disease" Journal of Clinical Medicine 9, no. 3: 783. https://doi.org/10.3390/jcm9030783

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