Polypharmacy is becoming increasingly common owing to the ageing population, which can pose problems for patients and society. We investigated the trends in polypharmacy and underlying drug groups ...among adults in the Netherlands from 1999 to 2014 stratified by age, and compared these with findings from the United States (US).
We conducted a repeated cross-sectional study using the Dutch IADB.nl prescription database. All patients aged 20 years and older in the period 1999 to 2014 were included. Polypharmacy was defined as the dispensing of five or more chronic drugs at the pharmacological subgroup level. Chi-square tests were applied to calculate the p-value for trends. Changes in prevalences were compared between the Netherlands and the US.
The prevalence of polypharmacy increased from 3.1% to 8.0% (p-value for trend <0.001) over 15 years, and increased in all age groups. The highest rates were observed in patients aged ≥65 years, but the relative increase over time was higher in the younger age groups. Overall, large increases were observed for angiotensin-II inhibitors, statins and proton-pump inhibitors. The relative increase in polypharmacy was larger in the Netherlands than in the US (ratio of polypharmacy prevalence 2.4 versus 1.8). The Netherlands showed larger relative increases for angiotensin-II inhibitors, statins, proton-pump inhibitors, biguanides and smaller relative increases for antidepressants, benzodiazepines and insulins.
Polypharmacy more than doubled from 1999 to 2014, and this increase was not limited to the elderly. The relative increase was larger in the Netherlands compared to the US, which was partly due to larger increases in several guideline-recommended preventive drugs.
Aims
Polypharmacy is common in people with diabetes and is associated with the use of potentially inappropriate medication (PIM). This study aimed to assess trends in the prevalence of polypharmacy ...and PIM in older and middle‐aged people with diabetes.
Methods
A repeated cross‐sectional study using the University Groningen IADB.nl prescription database was conducted. All people aged 45 years and over who were treated for diabetes registered in the period 2012–2016 were included. Polypharmacy was assessed for three age groups. PIMs were assessed using Beers criteria for people ≥65 years old, and PRescribing Optimally in Middle‐aged People's Treatments (PROMPT) criteria for 45–64 years old. Chi‐square tests and regression analysis were applied.
Results
The prevalence of polypharmacy increased significantly in all age groups in the study period. In 2016, the prevalence of polypharmacy was 36.9% in patients aged 45–54 years, 50.3% in those aged 55–64 years, and 66.2% in those aged ≥65 years. The prevalence of older people with at least one PIM decreased by 3.1%, while in the middle‐aged group this prevalence increased by 0.9% from 2012 to 2016. The most common PIMs in both age groups were the use of long‐term high‐dose proton pump inhibitors, benzodiazepines and strong opioids without laxatives. Of those, only benzodiazepines showed a decreasing trend.
Conclusions
Polypharmacy increased in older and middle‐aged people with diabetes. While the prevalence of PIM decreased over time in older age, this trend was not observed in middle‐aged people with diabetes. Efforts are needed to decrease the use of PIMs in populations already burdened with many drugs, notably at middle age.
Accounting for justifiable variance is important for fair comparisons of treatment quality. The variance between general practices in treatment quality of type 2 diabetes (T2DM) patients may be ...attributed to the underlying patient population and practice characteristics. The objective of this study is to describe the between practice differences in treatment, and identify patient and practice level characteristics that may explain these differences.
The data of 24,607 T2DM patients from 183 general practices in the Netherlands were used. Treatment variance was assessed in a cross-sectional manner for: glucose-lowering drugs/metformin, lipid-lowering drugs/statins, blood pressure-lowering drugs/ACE-inhibitor or ARB. Patient characteristics tested were age, gender, diabetes duration, comorbidity, comedication. Practice characteristics were number of T2DM patients, practice type, diabetes assistant available. Multilevel logistic regression was used to examine the between practice variance in treatment and the effect of characteristics on this variance.
Treatment rates varied considerably between practices (IQR 9.5-13.9). The variance at practice level was 7.5% for glucose-lowering drugs, 3.6% for metformin, 3.1% for lipid-lowering drugs, 10.3% for statins, 8.6% for blood pressure-lowering drugs, and 3.9% for ACE-inhibitor/ARB. Patient and practice characteristics explained 19.0%, 7.5%, 20%, 6%, 9.9%, and 13.4% of the variance respectively. Age, multiple chronic drugs, and ≥3 glucose-lowering drugs were the most relevant patient characteristics. Number of T2DM patients per practice was the most relevant practice characteristic.
Considerable differences exist between practices in treatment rates. Patients' age was identified as characteristic that may account for justifiable differences in especially lipid-lowering treatment. Other patient or practice characteristics either do not explain or do not justify the differences.
Deprescribing of preventive medication is recommended in older patients with polypharmacy, including people with type 2 diabetes (T2D). It seems that many patients in low-middle-income countries are ...not willing to have their medicines deprescribed. This study aims to assess attitudes of Indonesian patients with T2D towards deprescribing in general and regarding specific cardiometabolic medicines, and factors influencing their willingness to stop medicines.
Primary care patients with T2D of ≥60 years in Indonesia completed the revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire. Attitudes in general and for cardiometabolic medicines were reported descriptively. Proportions of patients willing to stop one or more medicines when recommended by different healthcare professionals were compared with Chi-square test. Multiple regression analysis was used to analyse the influence between patient-related factors and the willingness to stop medicines.
The survey was completed by 196 participants (median age 69 years, 73% female). The percentages willing to stop medicines were 69, 67, and 41%, when the general practitioner (GP), the specialist, or the pharmacist initiates the process (p-value < 0.001). Higher perceived burden of medicines (p-value = 0.03) and less concerns about stopping (p-value < 0.001) were associated with a higher willingness to stop medicines if proposed by the GP. Patients using multiple glucose-regulating medicines were less willing to stop (p-value = 0.02). Using complementary or alternative medicines was not associated with the willingness to stop. If proposed by their pharmacist, patients without substantial education were more willing to stop than educated patients.
Only two-thirds of older people with T2D in Indonesia were willing to stop one or more of their medicines if the GP or specialist recommended this, and even less when the pharmacist proposed this. Attention should be given to concerns about stopping specific medicines, especially among patients using multiple glucose-lowering medicines, who may be more eligible but were less willing to accept deprescribing.
Deprescribing requires patients' involvement and taking patients' attitudes toward deprescribing into account. To understand the observed variation in these attitudes, the influence of ...contextual-level factors, such as country or healthcare setting, should be taken into account.
We conducted a systematic review of studies using the revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire among older adults. We searched articles in Medline and Embase up to 30 June 2021. PRISMA guideline was used for the search process and reporting. We summarized the outcomes from the rPATD and compared attitudes at study population level between high or low-middle-income countries, global regions, and healthcare settings using ANOVA testing. Correlations of the rPATD outcomes with the mean age of the study populations were tested. Associations with the rPATD outcomes at individual patient level extracted from the included studies were summarized.
Sixteen articles were included. Percentages of patients willing to stop medication were significantly lower in low-middle-income countries (<70% in Nepal and Malaysia) compared to high-income countries (>85% in USA, Australia, European countries). No significant differences were observed when results were compared by global region or by healthcare setting but a high willingness (>95%) was seen in the two studies conducted in an inpatient population. A higher mean age at study level was associated with a higher willingness to stop medication. At individual level, associations between patient characteristics, including demographics and education, and attitudes toward deprescribing showed inconsistent results.
Findings about attitudes toward deprescribing are influenced by contextual factors. Future research should pay more attention to the influence of the healthcare system and setting as well as the culture on patients' attitudes.
Adherence to antihypertensive drugs in patients with diabetes is important. To support adherence, attention should be paid to the dynamic process of implementation, persistence and reinitiation of ...these drugs. We assessed non-adherence, non-persistence and reinitiation patterns for antihypertensive drugs in patients on oral diabetes drugs and identified pharmacy-based predictors of these processes.
We conducted a cohort study in patients on oral diabetes drugs who initiated antihypertensive drugs between 1995-2015, as registered in the IADB.nl pharmacy database. Non-adherence was defined as a medication possession ratio < 80% and non-persistence as a gap > 180 days. We defined reinitiation as the dispensing of an antihypertensive drug within one year following discontinuation. We provide descriptive statistics for different time periods and applied logistic and Cox regressions to assess associations with sociodemographic and drug-related factors.
Of 6,669 initiators, non-adherence rates in persistent patients decreased from 11.0% in the first year to 8.5% and 7.7% in the second and third years, respectively. Non-persistence rates decreased from 18.0% in the first year to 3.7% and 2.9% in the second and third years, respectively. Of the 1,201 patients who discontinued in the first year, 22.0% reinitiated treatment within one year. Non-adherence and non-persistence rates were lower in the more recent time period. Predictors of non-adherence were secondary prevention (OR: 1.45; 95% CI: 1.10-1.93) and diuretics as initial drug class (OR: 1.37; 95% CI: 1.08-1.74). Predictors of non-persistence were female gender (HR: 1.18; 95% CI: 1.05-1.32), older age (HR: 1.33; 95% CI: 1.08-1.63) and diuretics, beta-blocking agents or calcium channel blockers as initial drug class. Longer duration of persistence was a predictor of reinitiation.
Adherence to antihypertensive drugs in patients on oral diabetes drugs has improved over time. The first year after initiation is the most crucial with regard to non-adherence and non-persistence, and the risk groups are different for both processes. Early non-persistence is a risk factor for not reinitiating treatment.
Aims. To investigate the effect of serotonin transporter (5-HTT) polymorphisms on change in HbA1c levels six months after metformin initiation in type 2 diabetes patients. Materials and Methods. ...Participants of PROVALID (PROspective cohort study in patients with type 2 diabetes mellitus for VALidation of biomarkers) within the GIANTT (Groningen Initiative to ANalyse Type 2 Diabetes Treatment) cohort who initiated metformin were genotyped for combined 5-HTTLPR/rs25531 (L∗L∗, L∗S∗, and S∗S∗) and 5-HTT VNTR (STin 2.12, 12/-, and 10/-) polymorphisms, respectively. Multiple linear regression was applied to determine the change in HbA1c level from baseline date to six months across 5-HTTLPR/VNTR genotype groups, adjusted for baseline HbA1c, age, gender, triglyceride level, low-density lipoprotein level, and serum creatinine. Results. 157 participants were included, of which 56.2% were male. The average age was 59.3±9.23 years, and the mean baseline HbA1c was 7.49%±1.21%. 5-HTTLPR was characterized in 46 patients as L∗L∗, 70 patients as L∗S∗, and 41 patients as S∗S∗ genotypes. No significant association was found between 5-HTTLPR and 5-HTT VNTR genotypes and change in HbA1c after adjustments. Conclusions. 5-HTT polymorphisms did not affect HbA1c levels six months after the start of metformin. Further long-term studies in large samples would be relevant to determine which polymorphisms can explain the variation in response to metformin treatment.
Background and Aims:
Low systolic blood pressure (SBP) levels while being treated with antihypertensives may cause hypotension-related adverse events (hrAEs), especially in the elderly, women, and ...frail patients. We aimed to assess the association between the occurrence of hrAEs and low SBP levels, age, sex, and polypharmacy among patients with type 2 diabetes (T2D) treated with antihypertensives.
Methods:
In this cohort study, we used the Groningen Initiative to ANalyse Type 2 diabetes Treatment (GIANTT) database which includes patients managed for T2D in primary care from the north of the Netherlands. Patients treated with ≥1 antihypertensive drug and ≥1 SBP measurement between 2012 and 2014 were included. The outcome was the presence of an hrAE, i.e. postural hypotension, dizziness, weakness/tiredness, and syncope in 90 days before or after the lowest recorded SBP level. Age (≥70 vs. <70 years), sex (women vs. men), polypharmacy (5–9 drugs or ≥10 drugs vs. <5 drugs), and SBP level (<130 or ≥130 mmHg) were included as determinants. Logistic regression analyses were conducted for age, sex and polypharmacy, including the SBP level and their interaction, adjusted for confounders. Odds ratios (OR) with 95% confidence intervals (CI) are presented.
Results:
We included 21,119 patients, 49% of which were ≥70 years old, 52% were women, 57% had polypharmacy, 61% had an SBP level <130 mmHg and 5.4% experienced an hrAE. Patients with an SBP level <130 mmHg had a significantly higher occurrence of hrAEs than patients with a higher SBP level (6.2 vs. 4.0%; ORs 1.41, 95%CI 1.14–1.75, 1.43, 95%CI 1.17–1.76 and 1.33, 95%CI 1.06–1.67 by age, sex, and polypharmacy, respectively). Older patients (OR 1.29, 95%CI 1.02–1.64) and patients with polypharmacy (OR 5–9 drugs 1.27, 95%CI 1.00–1.62; OR ≥10 drugs 2.37, 95% CI 1.67–3.37) were more likely to experience an hrAE. The association with sex and the interactions between the determinants and SBP level were not significant.
Conclusion:
Low SBP levels in patients with T2D treated with antihypertensives is associated with an increase in hrAEs. Older patients and those with polypharmacy are particularly at risk of hrAEs. Age, sex, and polypharmacy did not modify the risk of hrAEs associated with a low SBP level.
We aimed to assess trends in glycosylated hemoglobin A1c (HbA1c) and systolic blood pressure (SBP) thresholds at initiation of glucose- and blood pressure-lowering medication among patients with type ...2 diabetes and assess the influence of age and sex on these trends.
We used the Groningen Initiative to ANalyze Type 2 diabetes Treatment (GIANTT) primary care database. Patients initiating a first non-insulin glucose-lowering or any blood pressure-lowering medication between 2015 and 2020 with an HbA1c or SBP measurement in the 120 days before initiation were included. We used multilevel regression analyses adjusted for potential confounders to assess the influence of calendar year, age or sex, and the interaction between calendar year and age or sex on trends in HbA1c and SBP thresholds at initiation of medication.
We included 2,671 and 2,128 patients in the analyses of HbA1c and SBP thresholds, respectively. The overall mean HbA1c threshold at initiation of glucose-lowering medication significantly increased from 7.4% in 2015 to 8.0% in 2020 (
< 0.001), and particularly in the younger age groups. Compared to patients ≥80 years, patients aged 60-69 years initiated medication at lower levels mainly in the early years. Patients <60 years and between 70-79 years initiated medication at similar levels as patients ≥80 years. Females initiated medication at lower levels than males throughout the study period (
< 0.001). The mean SBP threshold at initiation of blood pressure-lowering medication varied from 145 to 149 mmHg without a clear trend (
= 0.676). There were no differences in SBP thresholds between patients of different ages or sex.
The rising trend in the HbA1c threshold for initiating glucose-lowering medication in the lower age groups was unexpected and requires further investigation. Males appear to receive less timely initiation of glucose-lowering medication than females. The lack of higher thresholds for the oldest age group or lower thresholds for the youngest age group in recent years is not in line with the age-related recommendations for personalized diabetes care and calls for health systems interventions.
Abstract
Background
Overtreatment with cardiometabolic medication in older patients can lead to major adverse events. Timely deprescribing of these medications is therefore essential. Self-reported ...willingness to stop medication is usually high among older people, still overtreatment with cardiometabolic medication is common and deprescribing is rarely initiated. An important barrier for deprescribing reported by general practitioners is the patients’ unwillingness to stop the medication. More insights are needed into the influence of patients’ characteristics on their attitudes towards deprescribing and differences in these attitudes between cardiometabolic medication groups.
Methods
A survey in older people using cardiometabolic medication using the revised Patients’ Attitudes Towards Deprescribing (rPATD) questionnaire was performed. Participants completed the general rPATD and an adapted version for four medication groups. Linear and ordinal logistic regression were used to assess the influence of age, sex, therapeutic area and number of medications used on the patients’ general attitudes towards deprescribing. Univariate analysis was used to compare differences in deprescribing attitudes towards sulfonylureas, insulins, antihypertensive medication and statins.
Results
Overall, 314 out of 1143 invited participants completed the survey (median age 76 years, 54% female). Most participants (80%) were satisfied with their medication and willing to stop medications if their doctor said it was possible (88%). Age, sex and therapeutic area had no influence on the general attitudes towards deprescribing. Taking more than ten medicines was significantly associated with a higher perceived medication burden. Antihypertensive medication and insulin were considered more appropriate than statins, and insulin was considered more appropriate than sulfonylureas not favouring deprescribing.
Conclusions
The majority of older people using cardiometabolic medication are willing to stop one of their medicines if their doctor said it was possible. Health care providers should take into account that patients perceive some of their medication as more appropriate than other medication when discussing deprescribing.
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