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Temporal Trends in Analgesic Use in Long-Term Care Facilities: A Systematic Review of International Prescribing.

ABSTRACT: OBJECTIVES:To explore global changes in the prescription of analgesic drugs over time in the international long-term care (LTC) population. DESIGN:Systematic review. SETTING:We included original research articles in English, published and unpublished, that included number of participants, country and year(s) of data collection, and prescription of analgesics (analgesics not otherwise specified, opioids, acetaminophen; scheduled only, or scheduled plus as needed (PRN)). PARTICIPANTS:LTC residents. MEASUREMENTS:We searched PubMed, EMBASE, CINAHL, International Pharmaceutical Abstracts, PsycINFO, Cochrane, Web of Science, Google Scholar, using keywords for LTC facilities and analgesic medication; hand-searched references of eligible papers; correspondence. Studies were quality rated using an adapted Newcastle-Ottawa scale. Pearson correlation coefficients were generated between percentage of residents prescribed an analgesic and year of data collection. If available, we investigated changes in acetaminophen and opioid prescriptions. RESULTS:Forty studies met inclusion criteria. A moderate correlation (0.59) suggested that scheduled prescription rates for analgesics have increased over time. Similar findings were reflected in scheduled prescriptions for acetaminophen and opioids. No increase was seen when analyzing scheduled plus PRN analgesics. Use of opioids (scheduled plus PRN) appears to have increased over time. CONCLUSION:Worldwide, use of opioids and acetaminophen has increased in LTC residents. Research is needed to explore whether this reflects appropriate pain management for LTC residents and if PRN medication is used effectively.

SUBMITTER: La Frenais FL

PROVIDER: S-EPMC5838548 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Temporal Trends in Analgesic Use in Long-Term Care Facilities: A Systematic Review of International Prescribing.

La Frenais Francesca L FL Bedder Rachel R Vickerstaff Victoria V Stone Patrick P Sampson Elizabeth L EL

Journal of the American Geriatrics Society 20171223 2

<h4>Objectives</h4>To explore global changes in the prescription of analgesic drugs over time in the international long-term care (LTC) population.<h4>Design</h4>Systematic review.<h4>Setting</h4>We included original research articles in English, published and unpublished, that included number of participants, country and year(s) of data collection, and prescription of analgesics (analgesics not otherwise specified, opioids, acetaminophen; scheduled only, or scheduled plus as needed (PRN)).<h4>P ...[more]

PMID: 29274247

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Project description:ImportanceThe Centers for Medicare & Medicaid Services' (CMS) National Partnership to Improve Dementia Care in Nursing Homes ("CMS National Partnership") focuses on reducing antipsychotic prescribing to long-term care residents. Hospice enrollment is not an exclusionary condition for the antipsychotic quality measure reported by CMS. It is unclear how prescribing in hospice may have been impacted by the initiative.ObjectiveEstimate the association of the CMS National Partnership with trends in antipsychotic prescribing among long-term care residents in hospice.DesignInterrupted time-series analysis of a 100% Minimum Data Set sample with linked hospice claims from 2011 to 2017.SettingLong-term care nursing facilities.ParticipantsOlder adults ≥65 residing in long-term care (n = 3,741,379) and limited to those enrolled in hospice (n = 821,610).Main outcomeQuarterly prevalence of antipsychotic and other psychotropic (antianxiety, hypnotic, antidepressant) use among long-term care residents; overall and among residents with dementia, stratified by hospice enrollment.ResultsFrom 2011 to 2017, parallel declines in antipsychotic prescribing were observed among long-term care residents enrolled and not enrolled in hospice (hospice: decline from 26.8% to 18.7%; non-hospice: decline from 23.0% to 14.4%). Following the 2012 CMS National Partnership, quarterly rates of antipsychotic prescribing declined significantly for both residents enrolled and not enrolled in hospice care. Declines in antipsychotic prescribing were greater for residents with dementia, with similar rates among residents enrolled and not enrolled in hospice. Among residents with dementia enrolled in hospice, use of other psychotropic medication classes including antianxiety, antidepressant, and hypnotic use remained relatively stable over time.Conclusions and relevanceDeclines in antipsychotic prescribing during the CMS National Partnership occurred among long-term care residents in hospice, where use may be deemed clinically appropriate. Nursing homes are an important location for the provision of dementia end-of-life care and the drivers of potentially unintended reductions in antipsychotic use merits further investigation.

Project description:BackgroundAntibiotic misuse is a key contributor to antimicrobial resistance and a concern in long-term aged care facilities (LTCFs). Our objectives were to: i) summarise key indicators of systemic antibiotic use and appropriateness of use, and ii) examine temporal and regional variations in antibiotic use, in LTCFs (PROSPERO registration CRD42018107125).Methods & findingsMedline and EMBASE were searched for studies published between 1990-2021 reporting antibiotic use rates in LTCFs. Random effects meta-analysis provided pooled estimates of antibiotic use rates (percentage of residents on an antibiotic on a single day [point prevalence] and over 12 months [period prevalence]; percentage of appropriate prescriptions). Meta-regression examined associations between antibiotic use, year of measurement and region. A total of 90 articles representing 78 studies from 39 countries with data between 1985-2019 were included. Pooled estimates of point prevalence and 12-month period prevalence were 5.2% (95% CI: 3.3-7.9; n = 523,171) and 62.0% (95% CI: 54.0-69.3; n = 946,127), respectively. Point prevalence varied significantly between regions (Q = 224.1, df = 7, p<0.001), and ranged from 2.4% (95% CI: 1.9-2.7) in Eastern Europe to 9.0% in the British Isles (95% CI: 7.6-10.5) and Northern Europe (95% CI: 7.7-10.5). Twelve-month period prevalence varied significantly between regions (Q = 15.1, df = 3, p = 0.002) and ranged from 53.9% (95% CI: 48.3-59.4) in the British Isles to 68.3% (95% CI: 63.6-72.7) in Australia. Meta-regression found no association between year of measurement and antibiotic use prevalence. The pooled estimate of the percentage of appropriate antibiotic prescriptions was 28.5% (95% CI: 10.3-58.0; n = 17,245) as assessed by the McGeer criteria. Year of measurement was associated with decreasing appropriateness of antibiotic use over time (OR:0.78, 95% CI: 0.67-0.91). The most frequently used antibiotic classes were penicillins (n = 44 studies), cephalosporins (n = 36), sulphonamides/trimethoprim (n = 31), and quinolones (n = 28).ConclusionsCoordinated efforts focusing on LTCFs are required to address antibiotic misuse in LTCFs. Our analysis provides overall baseline and regional estimates for future monitoring of antibiotic use in LTCFs.

Project description:BackgroundInsight into factors that influence antibiotic prescribing is crucial when developing interventions aimed at a more rational use of antibiotics. We examined factors that influence antibiotic prescribing in long-term care facilities, and present a conceptual model that integrates these factors.MethodsSemi-structured qualitative interviews were conducted with physicians (n?=?13) and nursing staff (n?=?13) in five nursing homes and two residential care homes in the central-west region of the Netherlands. An iterative analysis was applied to interviews with physicians to identify and categorize factors that influence antibiotic prescribing, and to integrate these into a conceptual model. This conceptual model was triangulated with the perspectives of nursing staff.ResultsThe analysis resulted in the identification of six categories of factors that can influence the antibiotic prescribing decision: the clinical situation, advance care plans, utilization of diagnostic resources, physicians' perceived risks, influence of others, and influence of the environment. Each category comprises several factors that may influence the decision to prescribe or not prescribe antibiotics directly (e.g. pressure of patients' family leading to antibiotic prescribing) or indirectly via influence on other factors (e.g. unfamiliarity with patients resulting in a higher physician perceived risk of non-treatment, in turn resulting in a higher tendency to prescribe antibiotics).ConclusionsOur interview study shows that several non-rational factors may affect antibiotic prescribing decision making in long-term care facilities, suggesting opportunities to reduce inappropriate antibiotic use. We developed a conceptual model that integrates the identified categories of influencing factors and shows the relationships between those categories. This model may be used as a practical tool in long-term care facilities to identify local factors potentially leading to inappropriate prescribing, and to subsequently intervene at the level of those factors to promote appropriate antibiotic prescribing.

Project description:BackgroundOveruse of antibiotics has contributed to antimicrobial resistance; a growing public health threat. In long-term care facilities, levels of inappropriate prescribing are as high as 75%. Numerous interventions targeting long-term care facilities' antimicrobial stewardship have been reported with varying, and largely unexplained, effects. Therefore, this review aimed to apply behavioural science frameworks to specify the component behaviour change techniques of stewardship interventions in long-term care facilities and identify those components associated with improved outcomes.MethodA systematic review (CRD42018103803) was conducted through electronic database searches. Two behavioural science frameworks, the Behaviour Change Wheel and Behaviour Change Technique Taxonomy were used to classify intervention descriptions into intervention types and component behaviour change techniques used. Study design and outcome heterogeneity prevented meta-analysis and meta-regression. Interventions were categorised as 'very promising' (all outcomes statistically significant), 'quite promising' (some outcomes statistically significant), or 'not promising' (no outcomes statistically significant). 'Promise ratios' (PR) were calculated for identified intervention types and behaviour change techniques by dividing the number of (very or quite) promising interventions featuring the intervention type or behaviour change technique by the number of interventions featuring the intervention type or behaviour change technique that were not promising. Promising intervention types and behaviour change techniques were defined as those with a PR ≥ 2.ResultsTwenty studies (of19 interventions) were included. Seven interventions (37%) were 'very promising', eight 'quite promising' (42%) and four 'not promising' (21%). Most promising intervention types were 'persuasion' (n = 12; promise ratio (PR) = 5.0), 'enablement' (n = 16; PR = 4.33) and 'education' (n = 19; PR = 3.75). Most promising behaviour change techniques were 'feedback on behaviour' (n = 9; PR = 8.0) and 'restructuring the social environment' (e.g. staff role changes; n = 8; PR = 7.0).ConclusionSystematic identification of the active ingredients of antimicrobial stewardship in long-term care facilities was facilitated through the application of behavioural science frameworks. Incorporating environmental restructuring and performance feedback may be promising intervention strategies for antimicrobial stewardship interventions within long-term care facilities.

Project description:ObjectiveThe Centers for Medicare and Medicaid Services' National Partnership to Improve Dementia Care in Nursing Homes focuses on but is not limited to long-term care (LTC) residents with dementia; the potential impact on residents with other diagnoses is unclear. We sought to determine whether resident subpopulations experienced changes in antipsychotic and mood stabilizer prescribing.DesignRepeated cross-sectional analysis of a 20% Medicare sample, 2011-2014.Setting and participantFee-for-service Medicare beneficiaries with Part D coverage in LTC (n = 562,485) and a secondary analysis limited to persons with depression or bipolar disorder (n = 139,071).MethodsMain outcome was quarterly predicted probability of treatment with an antipsychotic or mood stabilizer.ResultsFrom 2011 to 2014, the adjusted predicted probability (APP) of antipsychotic treatment fell from 0.120 [95% confidence interval (CI) 0.119-0.121] to 0.100 (95% CI 0.099-0.101; P < .001). Use decreased for all age, sex, and racial/ethnic groups; the decline was larger for persons with dementia (P < .001). The APP of mood stabilizer use grew from 0.140 (95% CI 0.139-0.141) to 0.185 (95% CI 0.184-0.186), growth slightly larger among persons without dementia (P < .001). Among persons with depression or bipolar disorder, the APP of antipsychotic treatment increased from 0.081 (95% CI 0.079-0.082) to 0.087 (95% CI 0.085-0.088; P < .001); APP of mood stabilizer treatment grew more, from 0.193 (95% CI 0.190-0.196) to 0.251 (0.248-0.253; P < .001). Quetiapine was the most commonly prescribed antipsychotic. The most widely prescribed mood stabilizer was gabapentin, prescribed to 70.5% of those who received a mood stabilizer by the end of 2014.Conclusions and implicationsThe likelihood of antipsychotic and mood stabilizer treatment did not decline for residents with depression or bipolar disorder, for whom such prescribing may be appropriate but who were not excluded from the Partnership's antipsychotic quality measure. Growth in mood stabilizer use was widespread, and largely driven by growth in gabapentin prescribing.

Project description:BackgroundThis paper considers approaches to the question "Which long-term care facilities have residents with high use of acute hospitalisations?" It compares four methods of identifying long-term care facilities with high use of acute hospitalisations by demonstrating four selection methods, identifies key factors to be resolved when deciding which methods to employ, and discusses their appropriateness for different research questions.MethodsOPAL was a census-type survey of aged care facilities and residents in Auckland, New Zealand, in 2008. It collected information about facility management and resident demographics, needs and care. Survey records (149 aged care facilities, 6271 residents) were linked to hospital and mortality records routinely assembled by health authorities. The main ranking endpoint was acute hospitalisations for diagnoses that were classified as potentially avoidable. Facilities were ranked using 1) simple event counts per person, 2) event rates per year of resident follow-up, 3) statistical model of rates using four predictors, and 4) change in ranks between methods 2) and 3). A generalized mixed model was used for Method 3 to handle the clustered nature of the data.Results3048 potentially avoidable hospitalisations were observed during 22 months' follow-up. The same "top ten" facilities were selected by Methods 1 and 2. The statistical model (Method 3), predicting rates from resident and facility characteristics, ranked facilities differently than these two simple methods. The change-in-ranks method identified a very different set of "top ten" facilities. All methods showed a continuum of use, with no clear distinction between facilities with higher use.ConclusionChoice of selection method should depend upon the purpose of selection. To monitor performance during a period of change, a recent simple rate, count per resident, or even count per bed, may suffice. To find high-use facilities regardless of resident needs, recent history of admissions is highly predictive. To target a few high-use facilities that have high rates after considering facility and resident characteristics, model residuals or a large increase in rank may be preferable.

Dataset Information

Temporal Trends in Analgesic Use in Long-Term Care Facilities: A Systematic Review of International Prescribing.

Publications

Temporal Trends in Analgesic Use in Long-Term Care Facilities: A Systematic Review of International Prescribing.

Similar Datasets

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