Longitudinal evaluation of medication underuse in older outpatients and its association with quality of life

Implementation and evaluation of a complex intervention to improve information availability at the interface between inpatient and outpatient care in older patients with multimorbidity and polypharmacy (HYPERION-TransCare) - study protocol for a pilot and feasibility cluster-randomized controlled trial in general practice in Germany

BACKGROUND

Despite attempts to improve the cross-sectoral flow of information, difficulties remain in routine healthcare. The resulting negative impact on continuity of care is often associated with poor health outcomes, especially in older patients. Our intervention aims to increase information availability with respect to medications and health conditions at the interface between inpatient and outpatient care and to contribute towards improving the quality of care in older patients. This pilot study focuses on feasibility and implementability.

METHODS

The idea of the complex intervention has been developed in a previous study. This intervention will be tested in a prospective, multicenter, cluster-randomized (via web tool), controlled pilot trial with two parallel study arms (intervention and control group). The pilot study will be conducted in 20 general practices in Hesse and Saxony (Germany) and include 200 patients (≥ 65 years of age with multimorbidity and polypharmacy) recruited by the practices. Practice staff and patients will be blinded. We will use qualitative and quantitative methods to assess the feasibility and implementability of the intervention and the study design in a process evaluation covering topics ranging from expectations to experiences. In addition, the feasibility of proposed outcome parameters for the future definitive trial will be explored. The composite endpoint will include health-related patient outcomes (hospitalization, falls, and mortality using, e.g., the FIMA questionnaire), and we will assess information on medications (SIMS questionnaire), symptoms and side effects of the medication (pro-CTCAE questionnaire), and health literacy (HLQ questionnaire). Data will be collected at study begin (baseline) and after 6 months. Furthermore, the study will include surveys and interviews with patients, general practitioners, and healthcare assistants.

DISCUSSION

The intervention was developed using a participatory approach involving stakeholders and patients. It aims to empower general practice teams as they provide patient-centered care and play a key role in the coordination and continuity of care. We aim to encourage patients to adopt an active role in their health care. Overall, we want to increase the availability of health-related information for patients and healthcare providers. The results of the pilot study will be used in the design and implementation of the future definitive trial.

TRIAL REGISTRATION

The study was registered in DRKS-German Clinical Trials Register: registration number DRKS00027649 (date: 19 January 2022). Date and version identifier 10.07.2023; Version 1.3.

Bayesian paired comparison with the bpcs package

This article introduces the bpcs R package (Bayesian Paired Comparison in Stan) and the statistical models implemented in the package. This package aims to facilitate the use of Bayesian models for paired comparison data in behavioral research. Bayesian analysis of paired comparison data allows parameter estimation even in conditions where the maximum likelihood does not exist, allows easy extension of paired comparison models, provides straightforward interpretation of the results with credible intervals, has better control of type I error, has more robust evidence towards the null hypothesis, allows propagation of uncertainties, includes prior information, and performs well when handling models with many parameters and latent variables. The bpcs package provides a consistent interface for R users and several functions to evaluate the posterior distribution of all parameters to estimate the posterior distribution of any contest between items and to obtain the posterior distribution of the ranks. Three reanalyses of recent studies that used the frequentist Bradley-Terry model are presented. These reanalyses are conducted with the Bayesian models of the bpcs package, and all the code used to fit the models, generate the figures, and the tables are available in the online appendix.

Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database

The prevalence of multimorbidity and polypharmacy increases significantly with age and are associated with negative health consequences. However, most current interventions to optimize medication have failed to show significant effects on patient-relevant outcomes. This may be due to ineffectiveness of interventions themselves but may also reflect other factors: insufficient sample sizes, heterogeneity of population. To address this issue, the international PROPERmed collaboration was set up to obtain/synthesize individual participant data (IPD) from five cluster-randomized trials. The trials took place in Germany and The Netherlands and aimed to optimize medication in older general practice patients with chronic illness. PROPERmed is the first database of IPD to be drawn from multiple trials in this patient population and setting. It offers the opportunity to derive prognostic models with increased statistical power for prediction of patient-relevant outcomes resulting from the interplay of multimorbidity and polypharmacy. This may help patients from this heterogeneous group to be stratified according to risk and enable clinicians to identify patients that are likely to benefit most from resource/time-intensive interventions. The aim of this manuscript is to describe the rationale behind PROPERmed collaboration, characteristics of the included studies/participants, development of the harmonized IPD database and challenges faced during this process.

A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy

OBJECTIVES

To develop and validate a prognostic model to predict deterioration in health-related quality of life (dHRQoL) in older general practice patients with at least one chronic condition and one chronic prescription.

STUDY DESIGN AND SETTING

We used individual participant data from five cluster-randomized trials conducted in the Netherlands and Germany to predict dHRQoL, defined as a decrease in EQ-5D-3 L index score of ≥5% after 6-month follow-up in logistic regression models with stratified intercepts to account for between-study heterogeneity. The model was validated internally and by using internal-external cross-validation (IECV).

RESULTS

In 3,582 patients with complete data, of whom 1,046 (29.2%) showed deterioration in HRQoL, and 12/87 variables were selected that were related to single (chronic) conditions, inappropriate medication, medication underuse, functional status, well-being, and HRQoL. Bootstrap internal validation showed a C-statistic of 0.71 (0.69 to 0.72) and a calibration slope of 0.88 (0.78 to 0.98). In the IECV loop, the model provided a pooled C-statistic of 0.68 (0.65 to 0.70) and calibration-in-the-large of 0 (-0.13 to 0.13). HRQoL/functionality had the strongest prognostic value.

CONCLUSION

The model performed well in terms of discrimination, calibration, and generalizability and might help clinicians identify older patients at high risk of dHRQoL.

REGISTRATION

PROSPERO ID: CRD42018088129.

Disparities in the Use of Guideline-Based Pharmacotherapy Exist for Atherosclerotic Cardiovascular Disease and Heart Failure Patients Who Have Intellectual/Developmental Disabilities in a Commercially Insured Database

BACKGROUND

Patients who have intellectual/developmental disabilities (IDDs) develop atherosclerotic cardiovascular disease (ASCVD) or heart failure (HF) at rates similar to or higher than the general population. They also face disparities accessing and using health care services.

OBJECTIVE

To determine if disparities exist in the use of guideline-based pharmacotherapy (GBP) for ASCVD or HF for adults with IDD.

METHODS

Using the 2014 Clinformatics Data Mart Database, adults with ASCVD or HF were divided into IDD or non-IDD groups. Patients with contraindications for GBP medications were excluded. Use of GBP between IDD and non-IDD groups was examined. Subgroup analysis included comparisons between IDD groups.

RESULTS

For HF, 1011 patients with IDD and 236,638 non-IDD patients were identified. For ASCVD, 2190 IDD and 790,343 non-IDD patients were identified. We found that 47.9%, 35.8%, and 13.1% of IDD and 58.7%, 48.4%, and 18.9% of non-IDD patients had pharmacy claims for statins (P < 0.001), β-blockers (P < 0.001), or antiplatelet therapy (P < 0.001), respectively. For HF, 46.8% and 50.3% of IDD and 59.8% and 55.4% of non-IDD patients had pharmacy claims for β-blockers (P < 0.001) and angiotensin-converting enzyme (ACE) inhibitors or angiotensin-receptor blockers (ARBs; P = 0.003), respectively. In all but one multivariate regression models patients with IDD were less likely to use GBP than patients in the non-IDD group. Subgroup analysis revealed that patients who had Down syndrome had lower GBP use in 4 of the 5 measures.

CONCLUSION AND RELEVANCE

Disparities exist in the use of GBP for patients with IDD with ASCVD or HF. Patients who have an IDD should be examined by clinicians to ensure appropriate access to and use of GBP.

Potential prescribing omissions in patients with cardiovascular disease

Aims Potential prescribing omissions (PPOs) of medications are a frequent form of inadequate prescription drug practices. The objective of this study was to identify PPOs in a sample of elderly patients with cardiovascular disease. Methods Quasi-experimental study. Data were collected from a population database. We included patients who were older than 65 years and had a diagnosis of hypertension, dyslipidaemia, diabetes mellitus, coronary heart disease, heart failure or atrial fibrillation in Colombia. PPOs were determined in a random sample of patients by the START-2 (Screening Tool to Alert doctors to Right Treatment) criteria. The impact of the PPO was determined after an educational intervention with the doctors who were responsible for treating said patients. Results A total of 630 patients, with a median age of 72 years (interquartile range: 68-78 years), were included; 56.2% were women. The most frequent diagnoses were arterial hypertension (94.1%, n = 593) and dyslipidaemia (56.5%, n = 356). We identified 100 patients (15.9%) with omissions equalling 139 PPOs, and the most common PPOs were due to a lack of angiotensin-converting enzyme inhibitors in patients associated with heart failure or coronary heart disease (n = 23, 16.5%) and a lack of statins (n = 20; 14.4%) and aspirin (n = 20; 14.4%) in coronary heart disease. Prescription adjustments were achieved in 35 patients (25.2%). Conclusions Potential prescribing omissions are common in elderly patients with cardiovascular disease. Educational interventions may contribute to a reduced PPO frequency and improve the quality of prescription drug administration.

Evidence for underuse and overuse of antidepressants in older adults: Results of a large population-based study

OBJECTIVES

Depression is common among elderly people. However, diagnosis and adequate treatment is frequently difficult. Research on underuse and overuse of antidepressants in elderly persons is scarce. This study investigates the utilization and appropriateness of pharmacological and psychological depression treatment in a large cohort of community-dwelling adults.

METHODS

A subsample of 3117 participants (aged 55-85 y) of the third follow-up (2008-2010) of the large population-based German ESTHER study was included. Depression was assessed using the eight-item Patient Health Questionnaire (PHQ-8). In the course of a home visit, study doctors collected complete information on medication. Logistic regression analyses were conducted to determine the relationship of depression with both underuse and overuse of antidepressants. The analyses were then adjusted for socioeconomic variables, psychosomatic comorbidities, and motivation to seek help.

RESULTS

One hundred sixty-three participants (5.2%; 95% confidence interval [CI], 4.5-6.1) fulfilled the criteria for major depression. Underuse of antidepressants was present in 126 depressed participants (77.3%; 70.1-83.5). Persons who were motivated to seek help, who had an established depression diagnosis, or who were taking more than five different medications had lower odds of underuse. Anxiety was associated with higher odds for underuse. Overuse of antidepressants (prescription without clinical indication) was found in 96 cases (41.7%; 35.3-48.4) of all antidepressant prescriptions.

CONCLUSIONS

Depression treatment in older adults is frequently insufficient; it appears to depend on diagnosis as well as the patients' motivation to seek help. Education regarding the diagnosis of depression in the elderly as well as guidelines for appropriate treatment is needed.

Is guideline-adherent prescribing associated with quality of life in patients with type 2 diabetes?

Background

Guideline-adherent prescribing for treatment of multiple risk factors in type 2 diabetes (T2D) patients is expected to improve clinical outcomes. However, the relationship to Health-Related Quality of Life (HRQoL) is not straightforward since guideline-adherent prescribing can increase medication burden.

Objectives

To test whether guideline-adherent prescribing and disease-specific medication burden are associated with HRQoL in patients with T2D.

Methods

Cross-sectional study including 1,044 T2D patients from the e-VitaDM/ZODIAC study in 2012 in the Netherlands. Data from the diabetes visit, such as laboratory and physical examinations and prescribed medication, and from two HRQoL questionnaires, the EuroQol 5 Dimensions 3 Levels (EQ5D-3L) and the World Health Organization Well-Being Index (WHO-5) were collected. Twenty indicators assessing prescribing of recommended glucose lowering drugs, statins, antihypertensives and renin-angiotensin-aldosterone system (RAAS)-inhibitors and potentially inappropriate drugs from a validated diabetes indicator set were included. Disease-specific medication burden was assessed using a modified version of the Medication Regimen Complexity Index (MRCI). Associations were tested with regression models, adjusting for age, gender, diabetes duration, comorbidity, body mass index and smoking.

Results

The mean MRCI was 7.1, the median EQ5D-3L-score was 0.86 and the mean WHO-5 score was 72. Seven indicators included too few patients and were excluded from the analysis. The remaining thirteen indicators focusing on recommended start, intensification, current and preferred use of glucose lowering drugs, statins, antihypertensives, RAAS inhibitors, and on inappropriate prescribing of glibenclamide and dual RAAS blockade were not significantly associated with HRQoL. Finally, also the MRCI was not associated with HRQoL.

Conclusions

We found no evidence for associations between guideline-adherent prescribing or disease-specific medication burden and HRQoL in T2D patients. This gives no rise to refrain from prescribing intensive treatment in T2D patients as recommended, but the interpretation of these results is limited by the cross-sectional study design and the selection of patients included in some indicators.

Changes in prescribed medicines in older patients with multimorbidity and polypharmacy in general practice

Background

Treatment complexity rises in line with the number of drugs, single doses, and administration methods, thereby threatening patient adherence. Patients with multimorbidity often need flexible, individualised treatment regimens, but alterations during the course of treatment may further increase complexity. The objective of our study was to explore medication changes in older patients with multimorbidity and polypharmacy in general practice.

Methods

We retrospectively analysed data from the cluster-randomised PRIMUM trial (PRIoritisation of MUltimedication in Multimorbidity) conducted in 72 general practices. We developed an algorithm for active pharmaceutical ingredients (API), strength, dosage, and administration method to assess changes in physician-reported medication data during two intervals (baseline to six-months: ∆₁; six- to nine-months: ∆₂), analysed them descriptively at prescription and patient levels, and checked for intervention effects.

Results

Of 502 patients (median age 72 years, 52% female), 464 completed the study. Changes occurred in 98.6% of patients (changes were 19% more likely in the intervention group): API changes during ∆₁ and ∆₂ occurred in 414 (82.5%) and 338 (67.3%) of patients, dosage alterations in 372 (74.1%) and 296 (59.2%), and changes in API strength in 158 (31.5%) and 138 (27.5%) respectively. Administration method changed in 79 (16%) of patients in both ∆₁ and ∆₂. Simvastatin, metformin and aspirin were most frequently subject to alterations.

Conclusion

Medication regimens in older patients with multimorbidity and polypharmacy changed frequently. These are mostly due to discontinuations and dosage alterations, followed by additions and restarts. These findings cast doubt on the effectiveness of cross-sectional assessments of medication and support longitudinal assessments where possible.

Trial registration.

1. Prospective registration: Trial registration number: NCT01171339; Name of registry: ClinicalTrials.gov; Date of registration: July 27, 2010; Date of enrolment of the first participant to the trial: August 12, 2010.

2. Peer reviewed trial registration: Trial registration number: ISRCTN99526053; Name of registry: Controlled Trials; Date of registration: August 31, 2010; Date of enrolment of the first participant to the trial: August 12, 2010.

Electronic supplementary material

The online version of this article (10.1186/s12875-018-0825-3) contains supplementary material, which is available to authorized users.

Effectiveness of a complex intervention on Prioritising Multimedication in Multimorbidity (PRIMUM) in primary care: results of a pragmatic cluster randomised controlled trial

OBJECTIVES

Investigate the effectiveness of a complex intervention aimed at improving the appropriateness of medication in older patients with multimorbidity in general practice.

DESIGN

Pragmatic, cluster randomised controlled trial with general practice as unit of randomisation.

SETTING

72 general practices in Hesse, Germany.

PARTICIPANTS

505 randomly sampled, cognitively intact patients (≥60 years, ≥3 chronic conditions under pharmacological treatment, ≥5 long-term drug prescriptions with systemic effects); 465 patients and 71 practices completed the study.

INTERVENTIONS

Intervention group (IG): The healthcare assistant conducted a checklist-based interview with patients on medication-related problems and reconciled their medications. Assisted by a computerised decision support system, the general practitioner optimised medication, discussed it with patients and adjusted it accordingly. The control group (CG) continued with usual care.

OUTCOME MEASURES

The primary outcome was a modified Medication Appropriateness Index (MAI, excluding item 10 on cost-effectiveness), assessed in blinded medication reviews and calculated as the difference between baseline and after 6 months; secondary outcomes after 6 and 9 months' follow-up: quality of life, functioning, medication adherence, and so on.

RESULTS

At baseline, a high proportion of patients had appropriate to mildly inappropriate prescriptions (MAI 0-5 points: n=350 patients). Randomisation revealed balanced groups (IG: 36 practices/252 patients; CG: 36/253). Intervention had no significant effect on primary outcome: mean MAI sum scores decreased by 0.3 points in IG and 0.8 points in CG, resulting in a non-significant adjusted mean difference of 0.7 (95% CI -0.2 to 1.6) points in favour of CG. Secondary outcomes showed non-significant changes (quality of life slightly improved in IG but continued to decline in CG) or remained stable (functioning, medication adherence).

CONCLUSIONS

The intervention had no significant effects. Many patients already received appropriate prescriptions and enjoyed good quality of life and functional status. We can therefore conclude that in our study, there was not enough scope for improvement.

TRIAL REGISTRATION NUMBER

ISRCTN99526053. NCT01171339; Results.

Research Priorities for Optimizing Geriatric Pharmacotherapy: An International Consensus

Medication management is becoming increasingly challenging for older people, and there is limited evidence to guide medication prescribing and administration for people with multimorbidity, frailty, or at the end of life. Currently, there is a lack of clear research priorities in the field of geriatric pharmacotherapy. To address this issue, international experts from 5 research groups in geriatric pharmacotherapy and pharmacoepidemiology research were invited to attend the inaugural Optimizing Geriatric Pharmacotherapy through Pharmacoepidemiology Network workshop. A modified nominal group technique was used to explore and consolidate the priorities for conducting research in this field. Eight research priorities were elucidated: quality of medication use; vulnerable patient groups; polypharmacy and multimorbidity; person-centered practice and research; deprescribing; methodological development; variability in medication use; and national and international comparative research. The research priorities are discussed in detail in this article with examples of current gaps and future actions presented. These priorities highlight areas for future research in geriatric pharmacotherapy to improve medication outcomes in older people.

Comparison of Nine Instruments to Calculate Anticholinergic Load in a Large Cohort of Older Outpatients: Association with Cognitive and Functional Decline, Falls, and Use of Laxatives

OBJECTIVE

A patient's risk for anticholinergic adverse effects is frequently estimated by instruments evaluating the drugs included in his medication profile. It remains unknown, however, which characteristics should be included in such an assessment instrument aiming to reliably predict adverse anticholinergic outcomes.

DESIGN

Cross-sectional study.

SETTING

ESTHER cohort (Germany).

PARTICIPANTS

Home-dwelling participants (N = 2,761) aged between 60 and 87 years.

MEASUREMENTS

The association between anticholinergic load calculated with nine different instruments and four anticholinergic adverse outcomes was investigated in univariate and multivariate analyses. Therefore, linear models complemented with Kendall's tau rank correlation coefficients (ԏ) were applied for continuous outcomes and generalized linear models were used to derive odds ratios (ORs) with 95% confidence intervals (CIs) for binary endpoints.

RESULTS

Based on the respective identification criteria for anticholinergic drugs, the nine instruments identified between 245 (9%) and 866 (31%) anticholinergic drug users (mean age ± SD: 73 ± 6 years; Mini-Mental State Examination [MMSE] score: 28.3 ± 2.07; Barthel Index: 97.1 ± 7.5; 291 reporting falls; 29 taking laxatives [surrogate for constipation]). In the multivariate analysis, only two instruments indicated a significant association between anticholinergic load and all four outcomes. The instrument considering the prescribed dose showed the strongest association with MMSE scores (ԏ = -0.10), falls (OR: 2.30; 95% CI: 1.50-3.52), and the use of laxatives (OR: 3.11; 95% CI: 1.04-9.36).

CONCLUSIONS

Instruments most reliably predicted anticholinergicadverse events if they were either based on the drugs' serum anticholinergic activity and the suggestions of clinician experts or considered the actual prescribed dose.