Prescribing pattern in Parkinson's disease: are cost and efficacy overriding factors?

Dopaminergic treatment strategies for people with Parkinson's disease in Europe: a retrospective analysis of PRISM trial data

BACKGROUND

Levodopa (LD) is the most effective drug to treat Parkinson's disease (PD). The recently concluded multinational Parkinson's Real-World Impact Assessment (PRISM) trial revealed highly variable prescription patterns of LD monotherapy across six European countries. The reasons remain unclear.

METHODS

In this post hoc analysis of PRISM trial data, we used multivariate logistic regression analysis to identify socio-economic factors affecting prescription practice. We applied receiver-operated characteristics and split sample validation to test model accuracy to predict treatment class (LD monotherapy vs. all other treatments).

RESULTS

Subject age, disease duration, and country of residence were significant predictors of treatment class. The chance of receiving LD monotherapy increased by 6.9% per year of age. In contrast, longer disease duration reduced the likelihood of receiving LD monotherapy by 9.7% per year. Compared to the other countries, PD patients in Germany were 67.1% less likely and their counterparts in the UK 86.8% more likely to receive an LD monotherapy. The model classification accuracy of treatment class assignment was 80.1%. The area under the curve to predict treatment condition was 0.758 (95% CI [0.715, 0.802]). Split sample validation revealed poor sensitivity (36.6%), but excellent specificity (92.7%) to predict treatment class.

CONCLUSION

The relative lack of socio-economic variables affecting prescription practice in the study sample and limited model accuracy to predict treatment class suggest the presence of additional, country-specific factors affecting prescription patterns that were not assessed in the PRISM trial. Our findings indicate that physicians still avoid prescribing LD monotherapy to younger PD patients.

Exploring the prescribing trends and factors affecting initial anti-parkinsonian drug selection in Korea: A nationwide population-based cohort study

BACKGROUND

Parkinson's disease (PD) is a common neurodegenerative disorder typically treated with dopamine replacement therapy and dopamine agonists (DAs) to alleviate symptoms and minimize dyskinesia. Optimal treatment strategies for patients newly diagnosed with PD have been a topic of debate for many years.

METHODS

We conducted a 10-year descriptive study of drug prescription trends and factors affecting prescription choices for newly diagnosed drug-naïve PD patients using data from the National Health Insurance program in Korea. To identify statistically significant differences in yearly trends, we employed the Cochran-Armitage trend test. Additionally, we utilized multiple logistic regression analysis to investigate the factors associated with the selection of levodopa and DAs as initial anti-parkinsonian drugs.

RESULTS

A total of 99,118 patients with PD who were prescribed levodopa or DAs alone as initial anti-parkinsonian drugs between 2011 and 2020 were eligible for inclusion in the analysis. The prescription rate of DAs increased until 2012, and then steadily decreased annually. The likelihood of levodopa prescription increased with age and at higher-level hospitals. In terms of comorbidities, patients with Alzheimer's disease and cerebrovascular diseases were more likely to be prescribed levodopa than those with peptic ulcer disease and dyslipidemia.

CONCLUSION

The decline in levodopa prescriptions was reversed in 2012, and the prescription rate has continued to increase until recently. The odds ratio of levodopa prescription increased in elderly patients with Alzheimer's disease and decreased in patients with Medical aid insurance and peptic ulcer disease.

Effects of Oral Levodopa on Balance in People with Idiopathic Parkinson's Disease

BACKGROUND

Balance impairment is a frequent cause of morbidity and mortality in people with Parkinson's disease (PD). As opposed to the effects of appendicular motor symptoms, the effects of Levodopa on balance impairment in idiopathic PD are less clear.

OBJECTIVE

To review the literature on the effects of oral Levodopa on clinical balance test performance, posturography, step initiation, and responses to perturbation in people with idiopathic PD (PwPD).

METHODS

A systematic search of three scientific databases (Pubmed, Embase, and Web of Science) was conducted in accordance with PRISMA guidelines. For the pilot meta-analysis, standardized mean differences with 95% confidence intervals were calculated using an inverse variance random effects model. Data not suitable for implementation in the meta-analysis (missing means or standard deviations, and non-independent outcomes) were analyzed narratively.

RESULTS

A total of 2772 unique studies were retrieved, of which 18 met the eligibility criteria and were analyzed, including data of 710 idiopathic PwPD. Levodopa had a significant positive effect on the Berg Balance Scale, the Push and Release test, and jerk and frequency parameters during posturography. In contrast, some significant negative effects on velocity-based sway parameters were found during posturography and step initiation. However, Levodopa had no significant effect on most step initiation- and all perturbation parameters.

CONCLUSION

The effects of Levodopa on balance in PwPD vary depending on the outcome parameters and patient inclusion criteria. A systematic approach with well-defined outcome parameters, and prespecified, sensitive and reliable tests is needed in future studies to unravel the effects of oral Levodopa on balance.

Association between cost-sharing and drug prescribing in Korean elderly veterans with chronic diseases: A real-world claims data study

This study aimed to investigate the relationship between cost-sharing and drug prescribing and its appropriateness in Korean elderly veterans with chronic conditions. This is a cross-sectional study using real-world claims data. Veterans with primary hypertension or dyslipidemia were compared with two controls with higher levels of cost-sharing. Study subjects (age ≥65 years) were selected through stratified random sampling and matching the individual attributes. The primary outcome was the annual amount of drugs prescribed per patient, and the secondary outcomes included several other measures investigating multifaceted aspects of drug prescribing, medical institution utilization behavior, and prescribing appropriateness. Gamma regression models or logistic regression models were employed. Veterans were prescribed 59%~74% more drugs (exp (β) = 1.59 [95% confidence interval [CI] = 1.55-1.64] ~ 1.74 [1.70-1.79]) compared to the National Health Insurance (NHI) patients. This was attributed mainly to longer prescribing days (44%) and slightly more prescriptions (6%~7%) than NHI patients. Veterans spent 14%~15% higher medication costs. Veterans were less likely to visit multiple medical institutions by estimates of 0.77 (0.76-0.79) ~ 0.80 (0.79-0.82). Similar but smaller differences were observed between veterans and medical aid (MedAid) patients. The veteran patients showed a more than 50% increased risk of therapeutic duplication than the other two controls (adjusted odds ratio [ORs] = 1.47 [1.37-1.57] ~ 1.61 [1.50-1.72]). Inappropriate drug prescribing was also more common in veterans than the two controls (adjusted ORs = 1.20 [1.11-1.31] ~ 1.32 [1.22-1.43]). In Korean elderly veterans with chronic illnesses, a level of cost-sharing was associated with having more prescribed medicines, and increased inappropriate prescribing.

Medical staff perspective on factors influencing their prescribing decisions: a cross-sectional study in Mekong Delta, Vietnam

Objectives

Understanding medical staff’s prescription behaviors helps improve the quality of prescriptions and the rationality of medication use. Although factors affecting the prescribing decisions were discussed in various studies worldwide, limited knowledge of these issues has been reported in Vietnam. This paper aims to examine factors that influence prescribing behavior concerning medical staff’s demographics and characteristic differences.

Methods

Quantitative descriptive cross-sectional study, using adapted questionnaire consisting of 27 factors divided into 9 factor categories, was conducted with medical staff in Mekong Delta during June–July, 2019. Rasch analysis was performed to assess the questionnaire psychometric properties. Descriptive analysis, parametric tests and non-parametric tests were utilized to address the study objectives.

Key findings

A total of 201 participants completed the questionnaire. A majority of participants (>90%) agreed that their own decision to prescribe a drug was influenced by several factors such as drug safety and efficacy (92.5%), patient history (92.0%), patient income (92.0%) and patient disease status (91.0%). There were significant age differences in influences on prescribing decision. Medical staff aged under 30 appreciated the role of pharmacists higher than whose aged 31–40 (P-value = 0.010) and over 40 (P-value = 0.013). Additionally, they were more concerned with ‘patient characteristics’ including patient request, expectations, and disease status when making prescribing decisions compared with whose aged over 40 (P-value = 0.005).

Conclusions

The study revealed various factors influencing medical staff prescription decision-making processes. These findings could be useful for pharmaceutical companies in Vietnam in developing marketing strategies, and for policy-makers in timely improvement of prescription quality.

Evolution of Initial Pharmacologic Treatment of Newly Diagnosed Parkinson's Disease Patients over a Decade in Singapore

Objective

The aim of this study is to compare Parkinson's disease (PD) treatment practices by movement disorder (MD) specialists across a decade, and to determine the factors that influence drug choice for the motor symptoms of PD in newly diagnosed drug-naïve patients.

Methods

This prospective temporal analysis included patients seen at the National Neuroscience Institute in Singapore and diagnosed with PD by MD specialists in the years 2007 and 2017. Primary outcomes were use of specific PD drugs and changes in drug-prescribing patterns. Descriptive analyses and multivariable logistic regression models determined the extent to which patient characteristics were associated with type of PD treatment.

Results

Of 230 patients with PD (mean (SD) age, 66.7 (10.3) years), 131 (57.0%) were male. From 2007 to 2017, the use of ergot dopamine agonists and anticholinergics decreased from 19.3% to 2.0% (P < 0.001) and from 12.0% to 2.7% (P = 0.004), respectively. The use of monoamine oxidase B inhibitors (MAOBI) increased from 13.3% to 25.2% (P = 0.033). The use of levodopa (LD)-sparing strategies decreased nonsignificantly from 33.7% to 24.5% (P = 0.133). Overall, 196 (85.2%) patients were initiated on symptomatic monotherapy, with LD being the most commonly prescribed. MAOBI was the most common drug used in combination therapy. Age ≤70 (adjusted OR, 11.9; 95% CI, 4.5–31.5) and Hoehn and Yahr (HY) stage <2 (adjusted OR, 3.4; 95% CI, 1.5–7.7) were independent factors for LD-sparing strategies. Non-LD prescriptions (13 of 92; 14.1%) were more likely to be discontinued compared to LD ones (6 of 149; 4.0%) (P = 0.005).

Conclusions

Drug-prescribing patterns in PD have changed significantly through the last decade, influenced by emerging evidence and reports of adverse drug effects. Choosing drugs based on the patient's age and disease severity remain sound guiding principles across the years. It is important that international and national guidelines for pharmacotherapy in PD be updated consistently throughout different socioeconomic settings to optimize care.

Patterns and Determinants of Prescribing for Parkinson's Disease: A Systematic Literature Review

Since the discovery of levodopa (L-dopa) in 1967, the range of medications available to treat Parkinson's disease has increased significantly and guidance on the use, efficacy, and safety of these medications has evolved. To assess levels of adherence to national prescribing guidelines and awareness of changes in the efficacy and safety data published in the profiles of medications for the treatment of PD, we have reviewed studies on patterns and determinants of prescribing PD medications conducted in the last 50 years (since the discovery of L-dopa). A systematic literature review was conducted using EMBASE (1967 to March, 2018), Ovid MEDLINE(R) ALL (1967 to March 16, 2018), PsycINFO (1967 to the 2^nd week of March, 2018), and PubMed to identify all studies measuring prescribing patterns of PD medication between 1967 and 2017. Study design, source of data, country, year of study, number of patients and/or prescriptions, unit of analysis, prescribing determinants, and percentage utilisation of PD medications were extracted where possible. 44 studies examining prescribing patterns and/or prescribing determinants across 17 countries were identified. Unsurprisingly, L-dopa was the most commonly prescribed medication in all studies, accounting for 46.50% to 100% of all prescriptions for PD. In several studies, the prescribing rate of ergot-derived dopamine agonists (DAs) decreased over time in concordance with guidance. In contrast, the prescribing rates of non-ergot DAs increased over the last ten years in most of the included studies. In examining prescribing factors, two major categories were exemplified, patients' factors and prescribers' factors, with patients' age being the most common factor that affected the prescription in most studies. In conclusion, L-dopa is now the most commonly prescribed medication for cases of PD but there is large variation in the prescribing rates of catechol-O-methyltransferase (COMT) inhibitors, monoamine oxidase B (MAO-B) inhibitors, amantadine, and anticholinergics between countries. New studies examining the effects of recent clinical trials and measuring the prescribing rates of newly approved medications are warranted.

Linking Individual Patient Data to Estimate Incidence and Prevalence of Parkinson's Disease by Comparing Reports of Neurological Services and Pharmacy Prescription Refills at a Nationwide Level

Objectives: We set forth to estimate the number of those with Parkinson's disease (PD) in Hungary, a country with a single-payer health insurance system covering 10 million inhabitants.

Methods: We analyzed all hospital and outpatient reports from neurological services and pharmacy reports of prescription refills. We cross-checked clinically administered diagnosis of PD with prescription refills of antiparkinsonian medications using record linkage. We used the ICD-10 code of G20 in any diagnostic category to find all cases with possible PD. For case certification those patients were considered to have PD who were recorded with G20 code in at least 2 calendar years. For a more conservative estimation we determined the number of those who also refilled antiparkinsonian medication.

Results: Between 2010 and 2012 there were 46,383 subjects with certified PD by clinical criteria. Crude and age-standardized incidence were 49/100,000/year (95% CI: 45–53), and 56/100,000/year (95% CI: 51–60). Crude and age standardized prevalence rates were 404/100,000 (95% CI: 392–416) and 471/100,000 (95% CI: 456–485). Of all clinically certified PD patients 72% refilled antiparkinsonian medications.

Discussion: The incidence and prevalence of PD in Hungary is higher than earlier estimates, which should be considered in organizing healthcare services for this patient group.

Prescribing Pattern for Parkinson's Disease in Indian Community before Referral to Tertiary Center

BACKGROUND

Several factors determine the choice of medications in patients with Parkinson's disease (PD). We aimed to analyze the pattern of prescription of drugs in patients with PD before attending a tertiary-care center.

METHODS

The study included chart review of 800 PD patients attending the Department of Neurology of the National Institute of Mental Health and Neurosciences in Bangalore, India.

RESULTS

The mean age at onset was 51.1±11.8 years. The mean duration of illness was 41.7±43.6 months. At first visit, 79.4% (group 1, n=635) of patients were on medications, 10% (group 2, n=80) were on medications but later discontinued, and 10.6% (group 3, n=85) were drug-naïve. Overall, levodopa was prescribed in 94.8%, trihexyphenidyl in 40.4%, dopamine agonists in 23.2%, and amantadine in 17.2% either as monotherapy or in combination. In group 1, 37.8% were on monotherapy, with levodopa being the most commonly used agent (33.1%), followed by trihexyphenidyl (2.2%), dopamine agonists (1.6%), and amantadine (0.6%). Among those on polytherapy, levodopa plus trihexyphenidyl was the preferred combination (23.9%). In group 2, levodopa monotherapy was also most common (72.5%), followed by trihexyphenidyl monotherapy (7.5%).

CONCLUSIONS

Levodopa and trihexyphenidyl were the most commonly prescribed drugs in our patients. A higher use of trihexyphenidyl could be due to its easy availability, low cost, and better tolerability in our patients, who were relatively young at the time of onset of their disease. The choice of antiparkinsonian medications at the primary and secondary care levels in India may be inappropriate, and newer guidelines tailored to the Indian context are warranted.

Factors Influencing Prescribing Decisions of Physicians: A Review

Background

The pharmaceutical bill is increasing at an alarming rate. The physician practice variation has a pronounced effect on healthcare spending. A number of factors can influence the prescribing behavior of physicians. The aim of this review was to identify the factors affecting the prescribing decision of physicians.

Methods

Electronic databases including Scopus, PubMed/MEDLINE CENTRAL, Cochrane Libraries and Google scholar were searched systematically for literatures on factors influencing prescribing decisions of physicians from 2000 to 2016. There was no restriction on the study designs.

Results

Thirty-three studies met the inclusion criteria from 1122 search results. A total of 33 factors were identified. The most frequent factors were patients' clinical condition, pharmaceutical industries, physician attributes, patient preference and cost of medicine.

Conclusion

Physicians' personal attributes, cost of the medicine and pharmaceutical industries' marketing and promotion strategies were mostly mentioned to influence prescribing decision. The identified factors showed that prescribing is not only geared for patient benefit, but also towards personal interest. The use of valid and reliable practice guidelines could reduce the negative impact of wide ranges of factors and promote the rational prescribing effectively.

[Prescribing patterns of antiparkinson drugs in a group of Colombian patients, 2015]

INTRODUCTION

Parkinson's disease, whose prevalence in Colombia is 4.7 per 1,000 inhabitants, is a public health problem and a therapeutic challenge for health professionals.

OBJECTIVE

To determine the prescribing patterns of antiparkinson drugs and the variables associated with its use in a population from Colombia.

MATERIALS AND METHODS

We conducted a descriptive cross-sectional study. We selected patients who had been given antiparkinson drugs uninterruptedly between January 1st and March 31st, 2015 from a systematized database of approximately 3.5 million people affiliated to the Colombian health system. We included sociodemographic, pharmacologic and comedication variables. For the multivariate analysis, we used the IBM SPSS™-22 software.

RESULTS

A total of 2,898 patients was included; the mean age was 65.1years, and 50.7% were men; 69.4% (n=2010) of people received monotherapy and 30.6% combination therapy with two to five antiparkinson drugs. The most frequently prescribed drugs were: levodopa 45.5% (n=1,318 patients), biperiden 23.1% (670), amantadine 18.3% (531) and pramipexole 16.3% (471). The most commonly used association was levodopa/carbidopa + entacapone (n=311; 10.7%). Multivariate analysis showed that being male (OR=1.56; 95%CI: 1.321-1.837), over 60 years (OR=1.41; 95%CI 1.112-1.782) and receiving treatment in the city of Barranquilla (OR=2.23; 95%CI 1.675-2.975) were statistically associated with a greater risk of using combination therapy; 68.2% (n=1,977) patients were given concomitant treatment with other drugs.

CONCLUSIONS

Prescribing habits of drugs with high therapeutic value predominated, mainly in antiparkinson drugs monotherapy. Most were employed in the usual recommended doses. It is necessary to explore the clinical effectiveness of the medications studied and differentiate between disease and parkinsonian syndromes subtypes.

Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson's disease

The progressive nature of Parkinson’s disease, its complex treatment regimens and the high rates of comorbid conditions make self-management and treatment adherence a challenge. Clinicians have limited face-to-face consultation time with Parkinson’s disease patients, making it difficult to comprehensively address non-adherence. Here we share the results from a multi-centre (seven centres) randomised controlled trial conducted in England and Scotland to assess the impact of using a smartphone-based Parkinson’s tracker app to promote patient self-management, enhance treatment adherence and quality of clinical consultation. Eligible Parkinson’s disease patients were randomised using a 1:1 ratio according to a computer-generated random sequence, stratified by centre and using blocks of variable size, to intervention Parkinson’s Tracker App or control (Treatment as Usual). Primary outcome was the self-reported score of adherence to treatment (Morisky medication adherence scale −8) at 16 weeks. Secondary outcomes were Quality of Life (Parkinson’s disease questionnaire −39), quality of consultation for Parkinson’s disease patients (Patient-centred questionnaire for Parkinson’s disease), impact on non-motor symptoms (Non-motor symptoms questionnaire), depression and anxiety (Hospital anxiety and depression scale) and beliefs about medication (Beliefs about Medication Questionnaire) at 16 weeks. Primary and secondary endpoints were analysed using a generalised linear model with treatment as the fixed effect and baseline measurement as the covariate. 158 patients completed the study (Parkinson’s tracker app = 68 and TAU = 90). At 16 weeks Parkinson’s tracker app significantly improved adherence, compared to treatment as usual (mean difference: 0.39, 95%CI 0.04–0.74; p = 0.0304) with no confounding effects of gender, number of comorbidities and age. Among secondary outcomes, Parkinson’s tracker app significantly improved patients’ perception of quality of consultation (0.15, 95% CI 0.03 to 0.27; p = 0.0110). The change in non-motor symptoms was −0.82 (95% CI −1.75 to 0.10; p = 0.0822). 72% of participants in the Parkinson’s tracker app group continued to use and engage with the application throughout the 16-week trial period. The Parkinson’s tracker app can be an effective and novel way of enhancing self-reported medication adherence and quality of clinical consultation by supporting self-management in Parkinson’s disease in patients owning smartphones. Further work is recommended to determine whether the benefits of the intervention are maintained beyond the 16 week study period.

A smartphone-based application improves treatment adherence of patients with Parkinson’s disease (PD). Rashmi Lakshminarayana, from uMotif Ltd, and researchers from the UK and The Netherlands describe the results of a 16 week trial of a Parkinson’s tracker app (PTA) that randomised 215 patients from seven different health centres. Patients using the app reported significantly better adherence to their medication plan compared with control patients who continued their treatment as usual. Interestingly, using the PTA also improved the patients’ perception of the quality of their clinical care, possibly as a result of feeling more involved and in control of their care. These findings suggest that by sending medication reminders and tracking symptoms, the app can help patients with Parkinson’s self-manage their increasingly complex treatment regimen as the disease progresses.

Smartphone- and internet-assisted self-management and adherence tools to manage Parkinson's disease (SMART-PD): study protocol for a randomised controlled trial (v7; 15 August 2014)

BACKGROUND

Nonadherence to treatment leads to suboptimal treatment outcomes and enormous costs to the economy. This is especially important in Parkinson's disease (PD). The progressive nature of the degenerative process, the complex treatment regimens and the high rates of comorbid conditions make treatment adherence in PD a challenge. Clinicians have limited face-to-face consultation time with PD patients, making it difficult to comprehensively address non-adherence. The rapid growth of digital technologies provides an opportunity to improve adherence and the quality of decision-making during consultation. The aim of this randomised controlled trial (RCT) is to evaluate the impact of using a smartphone and web applications to promote patient self-management as a tool to increase treatment adherence and working with the data collected to enhance the quality of clinical consultation.

METHODS/DESIGN

A 4-month multicentre RCT with 222 patients will be conducted to compare use of a smartphone- and internet-enabled Parkinson's tracker smartphone app with treatment as usual for patients with PD and/or their carers. The study investigators will compare the two groups immediately after intervention. Seven centres across England (6) and Scotland (1) will be involved. The primary objective of this trial is to assess whether patients with PD who use the app show improved medication adherence compared to those receiving treatment as usual alone. The secondary objectives are to investigate whether patients who receive the app and those who receive treatment as usual differ in terms of quality of life, quality of clinical consultation, overall disease state and activities of daily living. We also aim to investigate the experience of those receiving the intervention by conducting qualitative interviews with a sample of participants and clinicians, which will be administered by independent researchers.

TRIAL REGISTRATION

ISRCTN45824264 (registered 5 November 2013).

The use of carer assisted adherence therapy for people with Parkinson's disease and their carers (CAAT-PARK): study protocol for a randomised controlled trial

BACKGROUND

Pharmacological intervention is essential for managing the symptoms of Parkinson's disease. Adherence to medication regimens however is a major problem. Poor adherence leads to significant motor deterioration and inadequate symptom control. This results in poor quality of life. Whilst interventions to improve medication adherence have shown considerable benefit in other chronic conditions, the efficacy of such treatments in Parkinson's disease is less well researched. Many people with Parkinson's disease require substantial support from spouse/caregivers. This often extends to medication taking. Consequently, spouse/caregiver's support for timely medication management is paramount. We aim to investigate the benefit of a novel intervention, Carer Assisted Adherence Therapy, for improving medication adherence and quality of life in people with Parkinson's disease. Adherence therapy may help to optimise the efficacy of anti-parkinsonian agents, subsequently improving clinical outcomes.

METHODS/DESIGN

A parallel, randomised controlled trial will be conducted to investigate whether carer assisted adherence therapy is effective for improving medication adherence and quality of life. We aim to recruit 40 patient/carer pairs into each group. Participants will be randomly assigned by the Clinical Research Trials Unit at the University of East Anglia. Adherence therapy is a brief cognitive-behavioural approach aimed at facilitating a process of shared decision making. The central theory is that when patients make shared choices with a professional they are more likely to continue with those choices because they are personally owned and meaningful. Outcomes will be rates of adherence and quality of life, determined by the Morisky Medication Adherence Scale-4 and the Parkinson's disease Questionnaire-39 respectively. Assessments will take place post randomisation, immediately post intervention and 12-weeks post randomisation. Primary outcomes are adherence and quality of life at 12-week follow-up. Efficacy will be determined using intention-to-treat analysis. Independent samples t-tests will compare mean changes between groups from baseline to follow-up. Per protocol analysis will be conducted based on individuals with no major protocol deviation. Where imbalances in baseline characteristics are identified, an adjusted analysis will be performed using a regression model. Analysis will be masked to treatment allocation.

TRIAL REGISTRATION

ISRCTN: ISRCTN07830951.