Doctor Shopping Behavior for Zolpidem Among Insomnia Patients in Taiwan: A Nationwide Population-Based Study

Bibliographic analysis of psychiatric publications in Taiwan: An analysis of Web of Science subject category from 1970 to 2023

BACKGROUND

Mental diseases continue to rank among the top 10 leading causes of global burden. Psychiatric research is a crucial avenue through which mental healthcare can be enhanced. Taiwanese academics have constantly concentrated their efforts on psychiatric research and published their findings. A systematic examination of these papers will provide an assessment of the present state and contribute to the formulation of future policies for psychiatric research in Taiwan. We assessed psychiatric papers from Taiwan using the Web of Science (WoS) database.

METHODS

Academic papers in the Psychiatry category of the WoS database from Taiwan were retrieved and evaluated. The analysis included papers published in Science Citation Index-Expanded and Social Science Citation Indexed journals between 1970 and 2023, excluding meeting abstracts and corrections.

RESULTS

Of the 1 049 281 papers published globally in the Psychiatry category of the WoS system between 1970 and 2023, 6117 (0.58%) were published in Taiwan. Taiwan ranked 26th globally in terms of number of papers published. These publications have received 150 519 citations. Over the past 53 years, both the annual number of psychiatric papers from Taiwan and their citations received have significantly and rapidly increased. However, the average impact factor of publications remained constant over time.

CONCLUSION

Over the last five decades, the number of psychiatric publications from Taiwan has increased. However, the average impact factor of these published papers did not increase over time. Investing in advanced research infrastructure and interdisciplinary projects may improve the quality and relevance of Taiwanese psychiatric research publications, potentially increasing their global citations and impact.

Mapping Patient Pathways in Tuberculosis Care: Insights From Gujarat and Jharkhand States of India

BACKGROUND

Tuberculosis (TB) continues to pose a significant public health challenge globally. Despite efforts to meet targets set by the End-TB Strategy, progress has been slow. Health-seeking practices that decide approaches to various sectors of healthcare providers result in inappropriate diagnosis and lack of awareness regarding available standard treatment, indicating inaccuracy in estimated incidences and underreporting.

OBJECTIVE

This study was designed to map the patient pathways for Persons with Tuberculosis (PwTB) from their initial point of contact through to diagnosis and treatment. It aimed to identify the socio-demographic characteristics and profiles of PwTB, as well as their choice of healthcare facilities, that influenced care-seeking behavior throughout the TB care cascade.

METHODS

A cross-sectional study was conducted from January to July 2022 in Jharkhand and Gujarat, India. Data were collected from 997 PwTB using a pre-designed structured questionnaire, covering socio-demographic profiles, TB profile of PwTB, and care-seeking behavior. The study analyzed the number and types of facilities visited, categorized the data, and used chi-square and binary logistic regression tests to identify significant associations.

RESULTS

In a study of 965 TB patients, 58.8% were male, and 61.3% were aged 18-40. Patients visited an average of two healthcare facilities, with significant associations found between age, occupation, comorbidity status, and facility switching (p < 0.005). Public health facilities were the primary point of care, with 91.4% using them for first consultations and 80.6% for treatment. Regression analysis highlighted significant predictors of care-seeking behavior, underscoring the need to enhance public healthcare infrastructure.

CONCLUSION

Understanding patient pathways and the factors influencing care-seeking behavior is crucial for improving TB management. Strengthening public healthcare infrastructure and enhancing coordination between public and private sectors can reduce transitions and ensure timely and appropriate care.

Potentially inappropriate medication use, polypharmacy, and falls among hospitalized patients

AIM

This matched case-control study investigated potentially inappropriate medication (PIM) use, polypharmacy, and other potential risk factors for falls among hospitalized older adults in Taiwan.

METHODS

During an 18-month study period, 131 case patients who experienced a fall during hospitalization in an acute-care hospital were identified and matched by the time of day, hospital ward, and age to controls (five for each case) who were selected through random systematic sampling. Data on demographics, medical characteristics, and all orally and intravascularly administered medications during hospitalization prior to a fall were collected. PIMs were assessed using the 2019 Beers criteria.

RESULTS

A conditional logistic regression analysis revealed that admission to the departments of internal medicine (odds ratio [OR] = 2.33; 95% confidence interval [CI] = 1.09-4.91) and neurology and rehabilitation (OR = 4.67; 95% CI = 2.08-10.5), diabetes with end-organ damage (OR = 2.07; 95% CI = 1.11-3.86), PIM use of central nervous system drugs (OR = 1.81; 95% CI = 1.15-2.86), use of colchicine (OR = 5.49; 95% CI = 1.34-22.5) and spironolactone (OR = 4.54; 95% CI = 1.31-15.8) for renal function impairment, and polypharmacy (≥5 medications; OR = 1.81; 95% CI = 1.05-3.10) significantly increased the risk of falls. By contrast, being overweight or obese (OR = 0.47; 95% CI = 0.29-0.78) was associated with a significantly lower risk of falls.

CONCLUSIONS

PIM use may increase the risk of falls in hospitalized older patients, and PIM identification and evaluation can reduce this risk. Geriatr Gerontol Int 2022; ••: ••-••.

Stress of life events and anxiety as mediators of the association between insomnia and triglycerides in college students

Purpose: This study examined interrelationships among insomnia, stress, anxiety, and metabolic risk factors. Methods: A total of 124 college students were included in the analysis (age = 21 ± 1 years). Insomnia, stress of life events, and anxiety were assessed using self-reported questionnaires. Fasting blood samples were assayed for glucose, insulin, total cholesterol, triglycerides, high-density lipoprotein cholesterol (HDL-cholesterol), and low-density lipoprotein cholesterol (LDL-cholesterol). Results: Insomnia was positively associated with stress of life events (β = 0.28, p < .001) and anxiety (β = 0.46, p < .001). Insomnia was related to elevated fasting insulin (β = 0.12, p = .04) and triglyceride level (β = 1.85, p < .001). An inverse association was found between insomnia and HDL-cholesterol (β = -0.45, p = .03). Sobel's test for mediation showed that stress of life events (p = .020) and anxiety (p = .013) mediated the relationship between insomnia and hypertriglyceridemia. Conclusions: Reducing stress and anxiety among college students with insomnia may influence subsequent cardiovascular health.

Information-seeking behavior of female doctor shoppers: results from an interview study

Purpose

This study aims to explore the information-seeking behavior of female patients engaged in doctor shopping. An investigation was conducted on the following aspects: the reasons for doctor-shopping behavior (DSB), patients’ information needs and sources, patients’ use of the obtained information and the degree of satisfaction with the information collected.

Design/methodology/approach

In-depth interviews were conducted in this study. In total, 30 female participants who lived or worked in the Taipei metropolitan area, Taiwan, were recruited.

Findings

Dissatisfaction with treatment, confirmation of illness conditions, inconvenient treatment locations and hours and dissatisfaction with doctor’s attitude were the main reasons for DSB. Family members, friends, the internet and mass media were sources of information for participants when they sought second and successive doctors. In most cases, the degree of satisfaction toward the obtained information increased after each visit to a doctor during the doctor-shopping journey. However, not all participants shared information with doctors. The participants suggested that detailed explanations provided by doctors and better communication with doctors may reduce the occurrence of doctor shopping.

Originality/value

The findings of this study help medical personnel better understand DSB. The findings revealed the significance of information to patients and indicated that the information collected during doctor shopping is beneficial for patients.

Early Detection of Prescription Drug Abuse Using Doctor Shopping Monitoring From Claims Databases: Illustration From the Experience of the French Addictovigilance Network

Opioid analgesics and maintenance treatments, benzodiazepines and z-drugs, and other sedatives and stimulants are increasingly being abused to induce psychoactive effects or alter the effects of other drugs, eventually leading to dependence. Awareness of prescription drug abuse has been increasing in the last two decades, and organizations such as the International Narcotics Control Board has predicted that, worldwide, prescription drug abuse may exceed the use of illicit drugs. Assessment of prescription drug abuse tackles an issue that is hidden by nature, which therefore requires a specific monitoring. The current best practice is to use multiple detection systems to assess prescription drug abuse by various populations in a timely, sensitive, and specific manner. In the early 2000's, we designed a method to detect and quantify doctor shopping for prescription drugs from the French National Health Data System, which is one of the world's largest claims database, and a first-class data source for pharmacoepidemiological studies. Doctor shopping is a well-known behavior that involves overlapping prescriptions from multiple prescribers for the same drug, to obtain higher doses than those prescribed by each prescriber on an individual basis. In addition, doctor shopping may play an important role in supplying the black market. The paper aims to review how doctor shopping monitoring can improve the early detection of prescription drug abuse within a multidimensional monitoring. The paper provides an in-depth overview of two decades of development and validation of the method as a complementary component of the multidimensional monitoring conducted by the French Addictovigilance Network. The process accounted for the relevant determinants of prescription drug abuse, such as pharmacological data (e.g., formulations and doses), chronological and geographical data (e.g., impact of measures and comparison between regions), and epidemiological and outcome data (e.g., profiles of patients and trajectories of care) for several pharmacological classes (e.g., opioids, benzodiazepines, antidepressants, and methylphenidate).

Health Information Technology and Doctor Shopping: A Systematic Review

Doctor shopping is the practice of visiting multiple physicians to obtain multiple prescriptions. Health information technology (HIT) allows healthcare providers and patients to leverage records or shared information to improve effective care. Our research objective was to determine how HIT is being leveraged to control for doctor shopping. We analyzed articles that covered a 10-year time period from four databases and reported using preferred reporting items for systematic reviews and meta-analysis (PRISMA). We compared intervention, study design, and bias, in addition to showing intervention interactions with facilitators, barriers, and medical outcomes. From 42 articles published from six countries, we identified seven interventions, five facilitator themes with two individual observations, three barrier themes with six individual observations, and two medical outcome themes with four individual observations. Multiple HIT mechanisms exist to control for doctor shopping. Some are associated with a decrease in overdose mortality, but access is not universal or compulsory, and data sharing is sporadic. Because shoppers travel hundreds of miles in pursuit of prescription drugs, data sharing should be an imperative. Research supports leveraging HIT to control doctor shopping, yet without robust data sharing agreements, the efforts of the system are limited to the efforts of the entity with the least number of barriers to their goal. Shoppers will seek out and exploit that organization that does not require participation or checking of prescription drug monitoring programs (PDMP), and the research shows that they will drive great distances to exploit this weakest link.

Workload of pharmacists and the performance of pharmacy services

Objective

To evaluate the influence of pharmacists’ dispensing workload (PDW) on pharmacy services as measured by prescription suggestion rate (PSR) and dispensing error rate (DER).

Method

This was an observational study in northern and southern Taiwan’s two largest medical centers, from 2012 to 2018. We calculated monthly PDW as number of prescriptions divided by number of pharmacist working days. We used monthly PSR and DER as outcome indicators for pharmacists’ review and dispensing services, respectively. We used Poisson regression model with generalized estimation equation methods to evaluate the influence of PDW on PSR and DER.

Results

The monthly mean of 463,587 (SD 32,898) prescriptions yielded mean PDW, PSR and DER of 52 (SD 3) prescriptions per pharmacist working days, 30 (SD 7) and 8 (SD 2) per 10,000 prescriptions monthly, respectively. There was significant negative impact of PDW on PSR (adjusted rate ratio, aRR: 0.9786; 95%CI: 0.9744–0.9829) and DER (aRR: 0.9567; 95%CI: 0.9477–0.9658). Stratified analyses by time periods (2012–2015 and 2016–2018) revealed the impact of PDW on PSR to be similar in both periods; but with positive association between PDW and DER in the more recent one (aRR: 1.0086, 95%CI: 1.0003–1.0169).

Conclusions

Reduced pharmacist workload was associated with re-allocation of pharmacy time to provide prescription suggestions and, more recently, decrease dispensing errors. Continuous efforts to maintain appropriate workload for pharmacists are recommended to ensure prescription quality.

Characteristics of doctor-shoppers: a systematic literature review

Objective: Doctor-shopping has significant consequences for patients and payers and can indicate misuse of drugs, polypharmacy, less continuity of care, and increased medical expenses. This study reviewed the literature describing doctor-shoppers in the adult population. Methods: A systematic literature review was performed in PubMed and supplemented by a Google search of grey literature. Overall, 2885 records were identified; 43 papers served as a source of definition of a doctor-shopper, disease, treatment, patient characteristics, patient special needs, country. Results: Definitions of doctor-shopping were heterogeneous. Overall, 40% of studies examined the use of opioids, antidepressants, or psychoactive drugs, while the others focused on chronic or frequent diseases. Most studies were conducted in countries with easy access to healthcare resources (USA, France, Taiwan, Hong Kong). The prevalence of doctor-shopping ranged from 0.5% among opioid users in the USA to 25% of patients registered at general practices in Japan. Comorbidities, active substance abuse, greater distance from healthcare facility, younger age, longer disease and poor patient satisfaction increased doctor-shopping. Conclusions: Knowing the characteristics of doctor-shoppers may help identify such patients and reduce the associated waste of medical resources, but concerns about the misuse of drugs or healthcare resources should not prevent proper disease management.

Doctor shopping of opioid analgesics relative to benzodiazepines: A pharmacoepidemiological study among 11.7 million inhabitants in the French countries

BACKGROUND

The abuse of prescription opioids and its subsequent consequences is an important public concern particularly in the USA. The literature on opioid analgesic abuse is scarce.

OBJECTIVE

We assess the extent and risk of opioid analgesics abuse relative to benzodiazepines (BZD) using the doctor shopping method, taken into account the pharmacological characteristics (dosage, route of administration, extended or immediate release).

METHODS

We used SNIIRAM database covering 11.7 million inhabitants. All individuals with at least one reimbursement for non-injectable opioid analgesic or BZD in 2013 were included. Opioids for mild to moderate pain and for moderately severe to severe pain were studied. The Doctor Shopping Quantity (DSQ) is the quantity obtained by overlapping prescriptions from several prescribers. The Doctor Shopping Indicator (DSI) is the DSQ divided by the total dispensed quantity.

RESULTS

The strong opioid analgesics have the highest DSI (2.79%) versus 2.06% for BZD hypnotics. Flunitrazepam ranked first according to its DSI (13.2%), followed by morphine (4%), and zolpidem (2.2%). The three-strong opioids having the highest DSI were morphine, oxycodone and fentanyl (respectively 4%, 1.7% and 1.5%). The highest DSI was observed for the highest dosages of morphine (DSI = 8.4% for 200 mg) and oxycodone (DSI = 2.8% for 80 mg). The highest DSI for fentanyl was described with nasal and transmucosal forms (4.1% and 3.3% respectively). The highest DSI for morphine was described for extended-release (4.1%).

CONCLUSION

There is a need to reinforce surveillance systems to track opioid misuse and to increase awareness of healthcare professionals.

Is Excessive Polypharmacy a Transient or Persistent Phenomenon? A Nationwide Cohort Study in Taiwan

Objectives: Target populations with persistent polypharmacy should be identified prior to implementing strategies against inappropriate medication use, yet limited information regarding such populations is available. The main objectives were to explore the trends of excessive polypharmacy, whether transient or persistent, at the individual level. The secondary objectives were to identify the factors associated with persistently excessive polypharmacy and to estimate the probabilities for repeatedly excessive polypharmacy.

Methods: Retrospective cohort analyses of excessive polypharmacy, defined as prescription of ≥ 10 medicines at an ambulatory visit, from 2001 to 2013 were conducted using a nationally representative claims database in Taiwan. Survival analyses with log-rank test of adult patients with first-time excessive polypharmacy were conducted to predict the probabilities, stratified by age and sex, of having repeatedly excessive polypharmacy.

Results: During the study period, excessive polypharmacy occurred in 5.4% of patients for the first time. Among them, 63.9% had repeatedly excessive polypharmacy and the probabilities were higher in men and old people. Men versus women, and old versus middle-aged and young people had shorter median excessive polypharmacy-free times (9.4 vs. 5.5 months, 5.3 vs. 10.1 and 35.0 months, both p < 0.001). Overall, the probabilities of having no repeatedly excessive polypharmacy within 3 months, 6 months, and 1 year were 59.9, 53.6, and 48.1%, respectively.

Conclusion: Although male and old patients were more likely to have persistently excessive polypharmacy, most cases of excessive polypharmacy were transient or did not re-appear in the short run. Systemic deprescribing measures should be tailored to at-risk groups.

The Association Between the Use of Zolpidem and the Risk of Alzheimer's Disease Among Older People

OBJECTIVES

To evaluate the association between zolpidem use and the risk of Alzheimer's disease among older people.

DESIGN

A retrospective cohort study using data from 2001 to 2011 from the National Health Insurance Research Database.

SETTING

Taiwan.

PARTICIPANTS

A total of 6,922 patients aged 65 years or older enrolled from January 2002 to December 2004 (the enrollment period).

INTERVENTION (EXPOSURE)

Zolpidem users were identified as patients who used zolpidem during the enrollment period. The index date was the date of the first zolpidem prescription. Dosage of zolpidem use was defined using cumulative defined daily dose (cDDD) based on the cumulative dosage that patients took within one year after the index date (grouped as: less than 28, 28-90, 91-180, and more than 180 cDDD).

MEASUREMENTS

The occurrence of Alzheimer's disease was defined as the time period from the end of one year after the index date to the date of the Alzheimer's disease diagnosis. The propensity score was used to adjust the measured confounders of Alzheimer's disease. Cox proportional hazards models were used to evaluate the association between zolpidem use and the incidence of Alzheimer's disease.

RESULTS

Zolpidem users with a high cumulative dose (>180 cDDD) in the first year after initiation had a significantly greater risk of Alzheimer's disease than non-zolpidem users (HR = 2.97, 95% CI = 1.61-5.49) and low cumulative dose (<28 cDDD) users (HR = 4.18, 95% CI = 1.77-9.86).

CONCLUSION

We found the use of a high cumulative dose of zolpidem was associated with an increased risk of Alzheimer's disease among older people living in Taiwan. It is advised to use caution when considering long-term use of zolpidem in older patients.

Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making

Insomnia remains under-diagnosed and poorly treated despite its high economic and social costs. Though previous work has examined how patient characteristics affect sleep medication prescriptions, the role of physician characteristics that influence this clinical decision remains unclear. We sought to understand patient and physician factors that influence sleep medication prescribing patterns by analyzing Electronic Medical Records (EMRs) including the narrative clinical notes as well as codified data. Zolpidem and trazodone were the most widely prescribed initial sleep medication in a cohort of 1,105 patients. Some providers showed a historical preference for one medication, which was highly predictive of their future prescribing behavior. Using a predictive model (AUC = 0.77), physician preference largely determined which medication a patient received (OR = 3.13; p = 3 × 10⁻³⁷). In addition to the dominant effect of empirically determined physician preference, discussion of depression in a patient’s note was found to have a statistically significant association with receiving a prescription for trazodone (OR = 1.38, p = 0.04). EMR data can yield insights into physician prescribing behavior based on real-world physician-patient interactions.

Risks and benefits of zolpidem use in Taiwan: a narrative review

Zolpidem is a non-benzodiazepine hypnotic drug commonly used for the treatment of insomnia. However, to date, extensive evidence has shown that zolpidem use is a factor associated with certain clinical conditions, not that it treats these conditions. The aim of this review is to summarize current published articles on the risks and benefits of zolpidem use.