Improving preprocedure antithrombotic management: Implementation and sustainment of a best practice alert and pharmacist referral process.
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ABSTRACT: Background
Electronic medical record-based interventions such as best practice alerts, or reminders, have been proposed to improve evidence-based medication prescribing. Formal implementation evaluation including long-term sustainment are not commonly reported. Preprocedural medication management is often a complex issue for patients taking antithrombotic medications.Methods
We implemented a best practice alert (BPA) that recommended referral to an anticoagulation clinic before outpatient elective gastrointestinal (GI) endoscopies. Eligible patients were taking an oral anticoagulant (warfarin or direct oral anticoagulant [DOAC]) and/or antiplatelet medications. Patients referred to the anticoagulation clinic were compared to those managed by the ordering provider. Outcomes assessed included guideline-adherent drug management before endoscopy, documentation of a medication management plan, guideline-adherent rates of bridging for high-risk patients taking warfarin, and evaluation for sustained use of BPA.Results
Eighty percent of patients (553/691) were referred to the anticoagulation clinic during the initial 13-month study period. Most referrals came from gastroenterologists (397/553; 71.8%) followed by primary care providers (127/554; 22.9%). Patients referred had improved rates of guideline-adherent medication management compared to those who were not referred (97.4% vs 91.0%; P = .001). Documentation of medication plan was significantly higher in the referred group (99.1% vs 59.4%; P ≤ .001). There were no differences in rates of appropriate bridging for patients taking warfarin. Implementation of the BPA also resulted in sustained, consistent use over an additional 18 months following the initial study period.Conclusion
Implementation of a BPA before elective outpatient GI endoscopies was associated with improved rates of guideline-adherent medication management and documented management plan, while streamlining preprocedural medication management.
SUBMITTER: Han H
PROVIDER: S-EPMC8285271 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Importance:Management of antithrombotic medications presents a challenge for many clinicians and patients before procedures. Anticoagulation clinic involvement may improve preprocedure coordination, satisfaction on the part of patients and clinicians, last-minute procedure cancellations, and patient safety. Objective:To assess the implementation of an electronic medical record (EMR) best practice alert (BPA) and anticoagulation clinic referral process to assist with management of antithrombotic medication before gastrointestinal endoscopic procedures. Design, Setting, and Participants:This multimodal evaluation of a quality improvement intervention using EMRs and survey data included patients using oral antithrombotic medications who were scheduled for elective gastrointestinal endoscopic procedures at an academic medical center along with the clinicians who ordered these procedures. Data were collected from November 1, 2017, through December 19, 2018. Data were analyzed in September 2019. Exposures:Following a multidisciplinary intervention, a BPA and referral process for periprocedural antithrombotic medication management was implemented in November 2017. Main Outcomes and Measures:The following implementation outcomes were assessed through EMR review and surveys through December 2018: use of BPAs, patient and clinician satisfaction with preprocedure anticoagulation management, procedure cancelation rates, reach, and spread by patient and clinician characteristics. Multilevel logistic regression was used to estimate variance in BPA use at the clinician level. Results:A total of 2082 patients (mean [SD] age, 64.1 [11.9] years) and 144 clinicians were included in the analysis. The BPA was used broadly across the health system, resulting in anticoagulation clinic referral for 1389 patients (66.7%). Referral was more common for patients using anticoagulant vs antiplatelet medications (1041 of 1524 [68.3%] vs 346 of 556 [62.2%]; adjusted odds ratio [aOR], 1.51; 95% CI, 1.15-1.98) and for procedures ordered by gastroenterologists vs primary care clinicians (933 of 1241 [75.2%] vs 365 of 618 [59.1%]; aOR, 2.15; 95% CI, 1.46-3.17). Individual clinician behavior patterns explained 26.5% (95% CI, 18.7%-36.1%) of variation in anticoagulation clinic referrals. Implementation of the intervention was associated with high patient satisfaction and improvements in multidimensional measures of clinician satisfaction (clinician response rate, 44.2% [144 of 326]). In multivariable analysis, the odds of altered or canceled procedures because of medication mismanagement declined after implementation (8 of 50 [16.0%] vs 1 of 52 [1.9%]; aOR, 0.11; 95% CI, 0.01-0.96; P = .02). Conclusions and Relevance:A newly implemented BPA and anticoagulation clinic referral process was broadly adopted and used, had high satisfaction by patients and clinicians, and was associated with fewer disruptions to planned procedures caused by medication mismanagement.
| S-EPMC7416616 | biostudies-literature
Project description:Oral anticoaguIants are extremely common, and it is estimated that there are between 500,000 and 1 million people prescribed them in the UK.[1] These drugs are the most frequently named medication in fatal errors and litigation claims [2] and they require the implementation of additional safety controls.[3] Warfarin is the most commonly prescribed anticoagulant and it requires regular international normalised ratio (INR) monitoring and dosage adjustment to achieve the desired therapeutic range.[4] Under-anticoagulation can cause thrombosis and over-anticoagulation can lead to haemorrhage, both of which can be fatal.[5] At St. Peter's hospital there is an anticoagulation service providing regular international normalised ratio (INR) monitoring for patients on warfarin. However, the current referral system is paper-based and a baseline audit found that only 66% of patients were successfully referred to the service on discharge from hospital. This identifies a significant patient safety issue which could result in life-threatening consequences. An electronic referral form was developed within a pre-existing computer based ordering system with the aim of improving the referral rate. The electronic referral tool streamlined the referral process, making the form quicker and easier to fill out and removed the need for faxing lengthy paper forms. Key information on the form was made mandatory. After intervention a re-audit revealed that 84% of patients discharged on warfarin were referred to the clinic, which equates to an increase of 18%. The increased referral rate will improve patient safety and prevent unnecessary hospital admissions. There should be continued promotion of the importance of referring patients to the anticoagulation clinic. This can be delivered through inductions, teaching sessions, and re-audits. Future goals include an automated referral system triggered on patient discharge.
| S-EPMC4645824 | biostudies-literature
Project description:Evidence is needed about how to effectively support health care providers in implementing screening for social risks (adverse social determinants of health) and providing related referrals meant to address identified social risks. This need is greatest in underresourced care settings. The authors tested whether an implementation support intervention (6 months of technical assistance and coaching study clinics through a five-step implementation process) improved adoption of social risk activities in community health centers (CHCs). Thirty-one CHC clinics were block-randomized to six wedges that occurred sequentially. Over the 45-month study period from March 2018 to December 2021, data were collected for 6 or more months preintervention, the 6-month intervention period, and 6 or more months postintervention. The authors calculated clinic-level monthly rates of social risk screening results that were entered at in-person encounters and rates of social risk-related referrals. Secondary analyses measured impacts on diabetes-related outcomes. Intervention impact was assessed by comparing clinic performance based on whether they had versus had not yet received the intervention in the preintervention period compared with the intervention and postintervention periods. In assessing the results, the authors note that five clinics withdrew from the study for various bandwidth-related reasons. Of the remaining 26, a total of 19 fully or partially completed all 5 implementation steps, and 7 fully or partially completed at least the first 3 steps. Social risk screening was 2.45 times (95% confidence interval [CI], 1.32-4.39) higher during the intervention period compared with the preintervention period; this impact was not sustained postintervention (rate ratio, 2.16; 95% CI, 0.64-7.27). No significant difference was seen in social risk referral rates during the intervention or postintervention periods. The intervention was associated with greater blood pressure control among patients with diabetes and lower rates of diabetes biomarker screening postintervention. All results must be interpreted considering that the Covid-19 pandemic began midway through the trial, which affected care delivery generally and patients at CHCs particularly. Finally, the study results show that adaptive implementation support was effective at temporarily increasing social risk screening. It is possible that the intervention did not adequately address barriers to sustained implementation or that 6 months was not long enough to cement this change. Underresourced clinics may struggle to participate in support activities over longer periods without adequate resources, even if lengthier support is needed. As policies start requiring documentation of social risk activities, safety-net clinics may be unable to meet these requirements without adequate financial and coaching/technical support.
| S-EPMC10161727 | biostudies-literature
Project description:BackgroundEffective implementation of evidence-based practices (EBPs) remains a significant challenge. Numerous existing models and frameworks identify key factors and processes to facilitate implementation. However, there is a need to better understand how individual models and frameworks are applied in research projects, how they can support the implementation process, and how they might advance implementation science. This systematic review examines and describes the research application of a widely used implementation framework, the Exploration, Preparation, Implementation, Sustainment (EPIS) framework.MethodsA systematic literature review was performed to identify and evaluate the use of the EPIS framework in implementation efforts. Citation searches in PubMed, Scopus, PsycINFO, ERIC, Web of Science, Social Sciences Index, and Google Scholar databases were undertaken. Data extraction included the objective, language, country, setting, sector, EBP, study design, methodology, level(s) of data collection, unit(s) of analysis, use of EPIS (i.e., purpose), implementation factors and processes, EPIS stages, implementation strategy, implementation outcomes, and overall depth of EPIS use (rated on a 1-5 scale).ResultsIn total, 762 full-text articles were screened by four reviewers, resulting in inclusion of 67 articles, representing 49 unique research projects. All included projects were conducted in public sector settings. The majority of projects (73%) investigated the implementation of a specific EBP. The majority of projects (90%) examined inner context factors, 57% examined outer context factors, 37% examined innovation factors, and 31% bridging factors (i.e., factors that cross or link the outer system and inner organizational context). On average, projects measured EPIS factors across two of the EPIS phases (M = 2.02), with the most frequent phase being Implementation (73%). On average, the overall depth of EPIS inclusion was moderate (2.8 out of 5).ConclusionThis systematic review enumerated multiple settings and ways the EPIS framework has been applied in implementation research projects, and summarized promising characteristics and strengths of the framework, illustrated with examples. Recommendations for future use include more precise operationalization of factors, increased depth and breadth of application, development of aligned measures, and broadening of user networks. Additional resources supporting the operationalization of EPIS are available.
| S-EPMC6321673 | biostudies-literature
Project description:Pharmacists in the intensive care unit (ICU) provide pharmaceutical care to critically ill patients. Identification and resolution of drug therapy problems improves outcomes for these patients. To maintain continuity of care, pharmacotherapy plans should be transferred to a receiving pharmacist upon discharge of patients from the ICU. No previous studies have addressed the development or evaluation of a systematic, standardized clinical handover tool and process for pharmacists.To assess pharmacists' satisfaction with and utilization of a pharmacotherapy-specific handover tool and process.Plan-do-study-act methodology was employed to develop a clinical handover tool and process, which were implemented in a Canadian health authority. For evaluation of the tool and process, a multicentre, online survey questionnaire was distributed to 14 clinical pharmacists in the ICU and ward settings at 5 hospitals between February 15 and April 22, 2016.Thirteen of the pharmacists completed the survey. All 13 pharmacists (100%) were satisfied with usability; 12 (92%) were satisfied with training, organization, and accuracy of the process; and 11 (85%) were satisfied with completeness and efficiency. Most pharmacists conducted 1 or 2 handovers per week, with each having a duration of 3-5 min. Seven (54%) of the respondents reported that they communicated handovers mostly or exclusively by telephone, and 6 (46%) reported using mostly or exclusively face-to-face communication. However, 6 (46%) reported a preference for face-to-face communication, and 3 (23%) reported a preference for the telephone; the remaining 4 (31%) had no preference for mode of communication.Respondents were highly satisfied with the handover tool and process. ICU pharmacists appeared more satisfied with the training, organization, and completeness of handover, whereas ward pharmacists appeared more satisfied with the accuracy and efficiency of handover. Workload requirements were minimal, and face-to-face interaction, although slightly less well utilized than the telephone, was the preferred method of communication.
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Project description:ObjectivesPrevious studies have looked at National Early Warning Score performance in predicting in-hospital deterioration and death, but data are lacking with respect to patient outcomes following implementation of National Early Warning Score. We sought to determine the effectiveness of National Early Warning Score implementation on predicting and preventing patient deterioration in a clinical setting.DesignRetrospective cohort study.SettingTertiary care academic facility and a community hospital.PatientsPatients 18 years old or older hospitalized from March 1, 2014, to February 28, 2015, during preimplementation of National Early Warning Score to August 1, 2015, to July 31, 2016, after National Early Warning Score was implemented.InterventionsImplementation of National Early Warning Score within the electronic health record and associated best practice alert.Measurements and main resultsIn this study of 85,322 patients (42,402 patients pre-National Early Warning Score and 42,920 patients post-National Early Warning Score implementation), the primary outcome of rate of ICU transfer or death did not change after National Early Warning Score implementation, with adjusted hazard ratio of 0.94 (0.84-1.05) and 0.90 (0.77-1.05) at our academic and community hospital, respectively. In total, 175,357 best practice advisories fired during the study period, with the best practice advisory performing better at the community hospital than the academic at predicting an event within 12 hours 7.4% versus 2.2% of the time, respectively. Retraining National Early Warning Score with newly generated hospital-specific coefficients improved model performance.ConclusionsAt both our academic and community hospital, National Early Warning Score had poor performance characteristics and was generally ignored by frontline nursing staff. As a result, National Early Warning Score implementation had no appreciable impact on defined clinical outcomes. Refitting of the model using site-specific data improved performance and supports validating predictive models on local data.
| S-EPMC6298839 | biostudies-literature
Project description:BackgroundLynch syndrome (LS) is an inherited, cancer predisposition syndrome associated with an increased risk of colorectal, endometrial and other cancer types. Identifying individuals with LS allows access to cancer risk management strategies proven to reduce cancer incidence and improve survival. However, LS is underdiagnosed and genetic referral rates are poor. Improving LS referral is complex, and requires multisystem behaviour change. Although barriers have been identified, evidence-based strategies to facilitate behaviour change are lacking. The aim of this study is to compare the effectiveness of a theory-based implementation approach against a non-theory based approach for improving detection of LS amongst Australian patients with colorectal cancer (CRC).MethodsA two-arm parallel cluster randomised trial design will be used to compare two identical, structured implementation approaches, distinguished only by the use of theory to identify barriers and design targeted intervention strategies, to improve LS referral practices in eight large Australian hospital networks. Each hospital network will be randomly allocated to a trial arm, with stratification by state. A trained healthcare professional will lead the following phases at each site: (1) undertake baseline clinical practice audits, (2) form multidisciplinary Implementation Teams, (3) identify target behaviours for practice change, (4) identify barriers to change, (5) generate intervention strategies, (6) support staff to implement interventions and (7) evaluate the effectiveness of the intervention using post-implementation clinical data. The theoretical and non-theoretical components of each trial arm will be distinguished in phases 4-5. Study outcomes include a LS referral process map for each hospital network, with evaluation of the proportion of patients with risk-appropriate completion of the LS referral pathway within 2?months of CRC resection pre and post implementation.DiscussionThis trial will determine the more effective approach for improving the detection of LS amongst patients with CRC, whilst also advancing understanding of the impact of theory-based implementation approaches in complex health systems and the feasibility of training healthcare professionals to use them. Insights gained will guide the development of future interventions to improve LS identification on a larger scale and across different contexts, as well as efforts to address the gap between evidence and practice in the rapidly evolving field of genomic research.Trial registrationANZCTR, ACTRN12618001072202 . Registered on 27 June 2018.
| S-EPMC6585019 | biostudies-literature
Project description:PurposeDespite rapid advancements in genetics and genomics, referral practices remain suboptimal. This systematic review assesses the extent to which approaches from implementation science have been applied to address suboptimal genetic referral practices.MethodsA search of MEDLINE, EMBASE, and PsycINFO generated 7,794 articles, of which 28 were included. Lay barriers were mapped to the Theoretical Domains Framework (TDF) and interventions mapped to behavior change techniques. Use of implementation and behavior change frameworks was assessed, and the Theory and Techniques Tool used to determine theoretical alignment.ResultsKnowledge was the most frequent retrospectively TDF-coded barrier, followed by environmental context and resources, and skills. Significant referral improvements occurred in 56% of studies. Among these, the most frequent interventions were clinical data review systems, family history collection and referral tools, and embedding genetics staff into nongenetic specialties. Few studies used implementation frameworks or reported implementation outcomes, though some deployed intuitive strategies that aligned with theory.ConclusionGenetic referral interventions are rarely informed by implementation and/or behavior change theories, limiting opportunities for learning across contexts. Retrospective coding has provided a suite of theoretically linked strategies, which may be useful for informing future efforts. Incorporating these strategies into clinical guidelines may facilitate operationalization within the system.
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Project description:Despite advances in evidence-based practices (EBP) to support HIV prevention and treatment, youth ages 13-24 experience significant disparities in HIV risk and outcomes. An important factor in this disparity is poor EBP implementation, yet implementation research is limited, particularly in youth-serving settings. This study used the Exploration, Preparation, Implementation, Sustainment (EPIS) framework to guide the implementation of four Motivational Interviewing (MI) and MI-framed interventions into youth-serving HIV prevention and treatment settings. Key stakeholders (n = 153) across 13 sites completed pre-implementation interviews. Stakeholders' comments identified two critical factors for effective implementation: fit with the patient population and provider receptivity, including concerns about scope of practice, buy-in, and time. Stakeholders recommended strategies for structuring training, fidelity monitoring, and facilitating implementation including engaging informal leaders, collaboratively developing the implementation strategy, and site-wide implementation. Results highlight the importance of pre-implementation contextual assessment and strategic planning for identifying provider concerns and developing responsive implementation strategies.
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Project description:Ethiopia has one of the world's poorest neonatal mortality rates (1). As a British paediatrician working for one year, the main aim was to improve neonatal care in a referral hospital's neonatal unit. An initial project looking at all admissions to the unit over the month of October 2012, revealed the death rate within the unit was 21% of all admissions. Of the 55 admissions only 43 (75%) had a temperature recorded at admission. 29 (67%) of these were hypothermic, and of these 29 initially hypothermic babies, 19 (65%) remained hypothermic or did not have another temperature documented during their stay. Only 33 (56%) had a heart rate and respiratory rate recorded on admission and only 11 (19%) had any further vital signs recorded during their stay. 19 of the admitted infants had a diagnosis of low birth weight and 10 (53%) of these either died or left against medical advice. With this information regular basic neonatal care teaching sessions for doctors and nursing staff were initiated. Vital signs charts were introduced and unit specific protocols were written. Continuous Positive Airway Pressure (CPAP) was trialled and found to be effective, and CPAP training was given to all nurses and doctors on the unit. A room was set aside to be used solely as Kangaroo Mother Care (KMC). The nurses were taken to a very effective neonatal unit as an 'experience sharing' trip to help with motivation and a grant was also obtained for basic equipment. After 6 months the project was repeated for all the admissions during February 2013. The death rate had progressively fallen and was 10% in February. 54 patients (98%) had a temperature taken on admission and of these, 27 (49%) were hypothermic. 25 (93%) of these hypothermic infants had subsequent temperatures documented which were normal. 54 (98%) had heart rate and respiratory rate recorded on admission and 50 (90%) had them recorded at least daily during their stay. Of the 22 babies with low birth weight (40%), only 4 (18%) died/left against medical advice. 4 received CPAP and 6 were treated with KMC.
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