Dataset Information

Antibiotic prescribing in long-term care facilities: a qualitative, multidisciplinary investigation.

ABSTRACT:

Objectives

To explore healthcare professionals' views of antibiotic prescribing in long-term care facilities (LTCFs). To use the findings to recommend intervention strategies for antimicrobial stewardship in LTCFs.

Design

Qualitative semistructured interviews were conducted. The data were analysed by thematic content analysis. After the interviews, the emerging findings were mapped to the theoretical domains framework (TDF), and the behaviour change wheel and behaviour change technique (BCT) taxonomy were used to recommend future intervention strategies.

Participants

Interviews were conducted with 37 healthcare professionals who work in LTCFs (10 general practitioners, 4 consultants, 14 nurses, 9 pharmacists) between December 2012 and March 2013.

Setting

Interviews were conducted in the greater Cork region.

Results

The main domains from the TDF which emerged were: 'Knowledge', 'Environmental context and resources', 'Social influences', 'Beliefs about consequences', 'Memory, attention and decision making', with the findings identifying a need for 'Behavioural regulation'. Many participants believed that antibiotic prescribing was satisfactory at their LTCF, despite the lack of surveillance activities.

Conclusions

This study, using the TDF and BCT taxonomy, has found that antibiotic prescribing in LTCFs is influenced by many social and contextual factors. The challenges of the setting and patient population, the belief about consequences to the patient, and the lack of implementation of guidelines and knowledge regarding antibiotic prescribing patterns are significant challenges to address. On the basis of the study findings and the application of the TDF and BCT taxonomy, we suggest some practical intervention functions for antimicrobial stewardship in LTCFs.

SUBMITTER: Fleming A

PROVIDER: S-EPMC4225237 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Antibiotic prescribing in long-term care facilities: a qualitative, multidisciplinary investigation.

Fleming Aoife A Bradley Colin C Cullinan Shane S Byrne Stephen S

BMJ open 20141105 11

<h4>Objectives</h4>To explore healthcare professionals' views of antibiotic prescribing in long-term care facilities (LTCFs). To use the findings to recommend intervention strategies for antimicrobial stewardship in LTCFs.<h4>Design</h4>Qualitative semistructured interviews were conducted. The data were analysed by thematic content analysis. After the interviews, the emerging findings were mapped to the theoretical domains framework (TDF), and the behaviour change wheel and behaviour change tech ...[more]

PMID: 25377014

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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:ObjectivesThere are high levels of inappropriate antibiotic use in long-term care facilities (LTCFs). Our objective was to examine evidence of the effectiveness of interventions designed to reduce antibiotic use and/or inappropriate use in LTCFs.DesignSystematic review and meta-analysis.Data sourcesMEDLINE, Embase and CINAHL from 1997 until November 2018.Eligibility criteriaControlled and uncontrolled studies in LTCFs measuring intervention effects on rates of overall antibiotic use and/or appropriateness of use were included. Secondary outcomes were intervention implementation barriers from process evaluations.Data extraction and synthesisTwo reviewers independently applied the Cochrane Effective Practice and Organisation of Care group's resources to classify interventions and assess risk of bias. Meta-analyses used random effects models to pool results.ResultsOf include studies (n=19), 10 had a control group and 17 had a high risk of bias. All interventions had multiple components. Eight studies (with high risk of bias) showed positive impacts on outcomes and included one of the following interventions: audit and feedback, introduction of care pathways or an infectious disease team. Meta-analyses on change in the percentage of residents on antibiotics (pooled relative risk (RR) (three studies, 6862 residents): 0.85, 95%?CI: 0.61 to 1.18), appropriateness of decision to treat with antibiotics (pooled RR (three studies, 993 antibiotic orders): 1.10, 95%?CI: 0.64 to 1.91) and appropriateness of antibiotic selection for respiratory tract infections (pooled RR (three studies, 292 orders): 1.15, 95%?CI: 0.95 to 1.40), showed no significant intervention effects. However, meta-analyses only included results from intervention groups since most studies lacked a control group. Insufficient data prevented meta-analysis on other outcomes. Process evaluations (n=7) noted poor intervention adoption, low physician engagement and high staff turnover as barriers.ConclusionsThere is insufficient evidence that interventions employed to date are effective at improving antibiotic use in LTCFs. Future studies should use rigorous study designs and tailor intervention implementation to the setting.

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:Long-term care (LTC) facilities are an important part of the health care industry, providing care to the fastest-growing group of the population. However, the adoption of electronic health records (EHRs) in LTC facilities lags behind other areas of the health care industry. One of the reasons for the lack of widespread adoption in the United States is that LTC facilities are not eligible for incentives under the Meaningful Use program. Implementation of an EHR system in an LTC facility can potentially enhance the quality of care, provided it is appropriately implemented, used, and maintained. Unfortunately, the lag in adoption of the EHR in LTC creates a paucity of literature on the benefits of EHR implementation in LTC facilities.The objective of this systematic review was to identify the potential benefits of implementing an EHR system in LTC facilities. The study also aims to identify the common conditions and EHR features that received favorable remarks from providers and the discrepancies that needed improvement to build up momentum across LTC settings in adopting this technology.The authors conducted a systematic search of PubMed, Cumulative Index of Nursing and Allied Health (CINAHL), and MEDLINE databases. Papers were analyzed by multiple referees to filter out studies not germane to our research objective. A final sample of 28 papers was selected to be included in the systematic review.Results of this systematic review conclude that EHRs show significant improvement in the management of documentation in LTC facilities and enhanced quality outcomes. Approximately 43% (12/28) of the papers reported a mixed impact of EHRs on the management of documentation, and 33% (9/28) of papers reported positive quality outcomes using EHRs. Surprisingly, very few papers demonstrated an impact on patient satisfaction, physician satisfaction, the length of stay, and productivity using EHRs.Overall, implementation of EHRs has been found to be effective in the few LTC facilities that have implemented them. Implementation of EHRs in LTC facilities caused improved management of clinical documentation that enabled better decision making.

Dataset Information

Antibiotic prescribing in long-term care facilities: a qualitative, multidisciplinary investigation.

Objectives

Design

Participants

Setting

Results

Conclusions

Publications

Antibiotic prescribing in long-term care facilities: a qualitative, multidisciplinary investigation.

Similar Datasets

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