Prioritising Risk Factors for Prescription Drug Overdose among Older Adults in South Korea: A Multi-Method Study.
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ABSTRACT:
SUBMITTER: Lee EH
PROVIDER: S-EPMC8198076 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The objectives of this study were to investigate older adults' knowledge of prescription drug safety and interactions with alcohol, and to identify pharmacists' willingness to disseminate prescription drug safety information to older adults.The convenience sample consisted of 48 older adults aged 54-89 years who were recruited from a local pharmacy and who completed surveys addressing their alcohol consumption, understanding of alcohol and prescription drug interactions, and willingness to change habits regarding alcohol consumption and prescription drugs. To address pharmacist willingness, 90 pharmacists from local pharmacies volunteered and answered questions regarding their willingness to convey prescription drug safety information to older adults.Older adults reported low knowledge of alcohol and prescription drug safety, with women tending to be slightly more knowledgeable. More importantly, those who drank in the previous few months were less willing to talk to family and friends about how alcohol can have harmful interactions with prescription drugs, or to be an advocate for safe alcohol and prescription drug use than those who had not had a drink recently. Pharmacists reported that they were willing to convey prescription drug safety information to older adults via a variety of formats, including displaying or distributing a flyer, and directly administering a brief intervention.In this study, older adults were found to have inadequate knowledge of prescription drug safety and interactions with alcohol, but pharmacists who regularly come in contact with older adults indicated that they were ready and willing to talk to older adults about prescription drug safety. Future research should focus on interventions whereby pharmacists disseminate prescription drug safety information to older adults in order to improve healthy prescription drug and alcohol behavior and reduce medical and health costs associated with interactions between alcohol and prescription drugs.
| S-EPMC3589245 | biostudies-other
Project description:Background and aimsIn the US, benzodiazepine overdose deaths increased at an alarming rate in the past two decades. Benzodiazepines were also the most common drugs involved in prescription opioid overdose deaths. Benzodiazepine prescribing has been monitored by Prescription Drug Monitoring Programs (PDMPs), but little was known about whether PDMPs reduced drug overdose deaths involving benzodiazepines.Design and methodsThis study used a difference-in-difference design with state-quarter aggregate data on drug overdose deaths. The primary data source was Mortality Multiple Cause Files in 1999-2016. Three age-adjusted rates of drug overdose deaths were examined, including those involving benzodiazepines, those involving prescription opioids, and those involving both benzodiazepines and prescription opioids. The policy variables included PDMP data access for benzodiazepines and mandatory use of PDMP data for benzodiazepines. Linear multivariable regressions were used to assess the associations of PDMP policies specific to benzodiazepines with drug overdose death rates, controlling for other state-level policy and socioeconomic factors, state and time fixed effects, and state-specific time trends.ResultsNo significant associations were found between PDMP data access for benzodiazepines and changes in drug overdose death rates involving benzodiazepines and/or prescription opioids. Similarly, no significant associations were found between mandatory use of PDMP data for benzodiazepines and changes in drug overdose death outcomes.Discussion and conclusionsThis study suggested no evidence that PDMP policies specific to benzodiazepines were associated with reduction in benzodiazepine overdose death rates. Future research is warranted to examine detailed features of PDMPs and continuously monitor the impacts of PDMP policies on benzodiazepine-related consequences.
| S-EPMC6641857 | biostudies-literature
Project description:INTRODUCTION:Non-medical prescription opioid (NMPO) use is a critical public health problem in the United States, with 2.1 million new initiates annually. Young adult NMPO users are at high risk for initiating injection drug use. We assessed correlates of injection drug use among young adult NMPO users in Rhode Island, a state heavily impacted by opioid overdose. METHODS:We used data from the Rhode Island Young Adult Prescription Drug Study (RAPiDS), which recruited 199 residents aged 18-29 who reported past-30-day NMPO use (65.3% male). We compared individuals who reported ever having injected with individuals who reported never injecting, using logistic regression to identify independent correlates of injection. RESULTS:Among eligible participants, the mean age was 24.6years and 61.3% were white. Over one-quarter (n=59, 29.6%) of the sample had ever injected drugs. The majority (n=46, 78.0%) of participants who had ever injected drugs reported injecting heroin as her/his first drug; the majority also reported previously snorting her/his first drug that was injected (n=46, 78.0%). In multivariable analyses, white race, older age, lifetime homelessness, and ever having overdosed or seen someone overdose were independently associated with an increased likelihood of ever injecting drugs. CONCLUSIONS:These findings demonstrate a high prevalence of lifetime injection drug use among young adults who use prescription opioids non-medically. Given the observed associations between injection drug use and witnessing as well as experiencing overdose, interventions are urgently needed to improve overdose education and naloxone distribution to young adult NMPO users who inject drugs.
| S-EPMC5614848 | biostudies-literature
Project description:PURPOSE:Prescription drug overdose (PDO) deaths are a critical public health problem in the United States. This study aims to assess the association between emergency department (ED) utilization patterns in a cohort of ED patients and the risk of subsequent unintentional PDO mortality. METHODS:Using data from the New York Statewide Planning and Research Cooperative System for 2006-2010, a nested case-control design was used to examine the relationship between ED utilization patterns in New York State residents of age 18-64 years and subsequent PDO death. RESULTS:The study sample consisted of 2732 case patients who died of PDO and 2732 control ED patients who were selected through incidence density sampling. With adjustment for demographic characteristics, and diagnoses of pain, substance abuse, and psychiatric disorders, the estimated odds ratios of PDO death relative to one ED visit or less in the previous year were 4.90 (95% confidence interval [CI]: 4.50-5.34) for those with two ED visits, 16.61 (95% CI: 14.72-18.75) for those with three ED visits, and 48.24 (95% CI: 43.23-53.83) for those with four ED visits or more. CONCLUSIONS:Frequency of ED visits is strongly associated with the risk of subsequent PDO death. Intervention programs targeting frequent ED users are warranted to reduce PDO mortality.
| S-EPMC4675463 | biostudies-literature
Project description:IntroductionPsychoactive substance use may be risky for adults with functional impairments. This study investigates cannabis use and prescription opioid and tranquilizer/sedative (mis)use among adults aged ≥50 years reporting functional impairments in the U.S.MethodsThis cross-sectional analysis of adults aged ≥50 years from the 2015-2019 cohorts of the National Survey on Drug Use and Health estimates the prevalence of past-year medical and nonmedical cannabis use and prescription opioid and tranquilizer/sedative use and misuse according to the number of functional impairments reported. The adjusted odds of medical and nonmedical use or misuse of each substance in relation to any impairment, the number of impairments, and specific impairments were estimated using logistic regression. Analyses were conducted in December 2020.ResultsCompared with those reporting no impairments, those reporting any impairment were more likely to report the use of cannabis and the (mis)use of prescription opioids and tranquilizers/sedatives (all p<0.05). Prevalence of (mis)use increased for each drug as the number of impairments increased (all p<0.001). Having any impairment was associated with increased odds for medical cannabis use (AOR=2.28, 95% CI=1.57, 3.30) but not for nonmedical use and with increased odds for misuse of prescription opioids (AOR=1.62, 95% CI=1.38, 1.91) and tranquilizers/sedatives (AOR=1.59, 95% CI=1.20, 2.11). Impaired thinking was associated with increased odds for the use and misuse of each substance, and impaired ability to do errands was associated with increased odds for prescription opioid misuse (AOR=1.34, 95% CI=1.01, 1.78).ConclusionsPrescription drug misuse is linked to functional impairments among adults aged ≥50 years and may pose a potential risk for this vulnerable population.
| S-EPMC8299838 | biostudies-literature
Project description:IntroductionPrescription Drug Monitoring Program data can provide insights into a patient's likelihood of an opioid overdose, yet clinicians and public health officials lack indicators to identify individuals at highest risk accurately. A predictive model was developed and validated using Prescription Drug Monitoring Program prescription histories to identify those at risk for fatal overdose because of any opioid or illicit opioids.MethodsFrom December 2018 to July 2019, a retrospective cohort analysis was performed on Maryland residents aged 18-80 years with a filled opioid prescription (n=565,175) from January to June 2016. Fatal opioid overdoses were identified from the Office of the Chief Medical Examiner and were linked at the person-level with Prescription Drug Monitoring Program data. Split-half technique was used to develop and validate a multivariate logistic regression with a 6-month lookback period and assessed model calibration and discrimination.ResultsPredictors of any opioid-related fatal overdose included male sex, age 65-80 years, Medicaid, Medicare, 1 or more long-acting opioid fills, 1 or more buprenorphine fills, 2 to 3 and 4 or more short-acting schedule II opioid fills, opioid days' supply ≥91 days, average morphine milligram equivalent daily dose, 2 or more benzodiazepine fills, and 1 or more muscle relaxant fills. Model discrimination for the validation cohort was good (area under the curve: any, 0.81; illicit, 0.77).ConclusionsA model for predicting fatal opioid overdoses was developed using Prescription Drug Monitoring Program data. Given the recent national epidemic of deaths involving heroin and fentanyl, it is noteworthy that the model performed equally well in identifying those at risk for overdose deaths from both illicit and prescription opioids.
| S-EPMC7996003 | biostudies-literature
Project description:Drug overdose is a public health crisis in the United States, due in part to the unintended consequences of increases in prescribing of opioid analgesics. Many clinicians evaluate risk markers for opioid-related harms when prescribing opioids for chronic pain; however, more data on predictive risk markers are needed. Risk markers are attributes (modifiable and non-modifiable) that are associated with increased probability of an outcome. This review aims to identify risk markers associated with fatal and non-fatal prescription drug overdose by synthesizing findings in the existing peer-reviewed and grey literature. Eligible cohort, case-control, cross-sectional, and case-cohort studies were reviewed and data were extracted for qualitative and quantitative synthesis.Summary odds ratios (SOR) were estimated from 29 studies for six risk markers: sex, age, race, psychiatric disorders, substance use disorder (SUD), and urban/rural residence. Heterogeneity was assessed and effect estimates were stratified by study characteristics. Of the six risk markers identified, SUD had the strongest association with drug overdose death (SOR = 5.24, 95% confidence interval (CI) = 3.53 - 7.76), followed by psychiatric disorders (SOR = 3.94, 95% CI = 3.09 - 5.01), white race (SOR = 2.28, 95% CI = 1.93 - 2.70), the 35-44 year age group relative to the 25-34 year reference group (SOR = 1.52, 95% CI = 1.31 - 1.76), and male sex (SOR = 1.33, 95% CI = 1.17 - 1.51).This review highlights fatal and non-fatal prescription drug risk markers most frequently assessed in peer-reviewed and grey literature. There is a need to better understand modifiable risk markers and underlying reasons for drug misuse in order to inform interventions that may prevent future drug overdoses.
| S-EPMC5545182 | biostudies-other
Project description:BackgroundOverdose deaths have increased dramatically in the United States and are often attributed to prescription opioids. This study presents a framework for “overdose typologies”, including non-medical prescription drug use, to more accurately describe drug use patterns.MethodsThis study examined linked prescription drug monitoring program (PDMP) and toxicology data (2016–2018) from accidental overdose deaths from a large metropolitan coroner’s office in the Midwest (Indianapolis, Indiana).ResultsIn total, 1,112 accidental overdose deaths occurred and over two-thirds (68.0%; n = 756) were coded as an illicit drug user with no prescription opioid present in the toxicology. The most infrequent categories were prescription opioid users 5.5% (n = 61).ConclusionLinked PDMP and toxicology reports are useful in identifying drug use patterns that contribute to mortality.
| S-EPMC7330872 | biostudies-literature
Project description:BackgroundInternet access in Korea has grown dramatically over the past two decades. However, disparities in internet use, referred to as the second level of the digital divide, persist.ObjectiveThis study aims to examine opportunity, motivation, and health variables that indicate internet use among older adults with diabetes.MethodsData were sourced from a nationally representative sample of people 65 years and older with diabetes (N=1919). Logistic regression was used to explore potential differences in predictor variables between internet users and nonusers.ResultsOnly 306 of the 1919 (15.95%) participants in the sample used the internet. They were more likely to be younger (odds ratio [OR] 0.89, 95% CI 0.87-0.92), well-educated (OR 1.20, 95% CI 1.16-1.26), and able to afford leisure expenditures (OR 1.02, 95% CI 1.01-1.04). Additionally, they had more information and communications technology (ICT) training experience, were motivated to learn, volunteered, and reported good physical and cognitive function. Participation in ICT education and better health more positively correlated with a higher rate of internet use than did years of education or economic standing in older adults with diabetes.ConclusionsTo support older adults with diabetes in the internet age, policies and health care providers should focus on digital competency training as well as physical and cognitive function.
| S-EPMC7787888 | biostudies-literature
Project description:Despite the potential benefits of powered mobility, many older adults do not have access to this technology. To date, few studies have explored how prescribers make decisions regarding provision of powered mobility. Therefore, we undertook a qualitative study to develop a better understanding of prescribers' attitudes toward and practices with older adult candidates for powered mobility devices. Our analysis of 10 in-depth interviews identified three main themes: (1) "Deciding who should be entitled" explored how therapists decided who should have access to powered mobility, (2) "power wheelchair negotiation" described the discord between clients and therapists that became apparent during this process, and (3) "practical considerations" revealed how contextual factors shaped the provision of powered mobility. The findings suggest that the ways in which powered mobility is funded, provided, and accommodated should be improved so that more older adults have access to these devices and can use them to their full potential.
| S-EPMC5567670 | biostudies-other