Development of High-Risk Geriatric Polypharmacy Electronic Clinical Quality Measures and a Pilot Test of EHR Nudges Based on These Measures.

BACKGROUND: Inappropriate polypharmacy, prevalent among older patients, is associated with substantial harms. OBJECTIVE: To develop measures of high-risk polypharmacy and pilot test novel electronic health record (EHR)-based nudges grounded in behavioral science to promote deprescribing. DESIGN: We developed and validated seven measures, then conducted a three-arm pilot from February to May 2019. PARTICIPANTS: Validation used data from 78,880 patients from a single large health system. Six physicians were pre-pilot test environment users. Sixty-nine physicians participated in the pilot. MAIN MEASURES: Rate of high-risk polypharmacy among patients aged 65 years or older. High-risk polypharmacy was defined as being prescribed ≥5 medications and satisfying ≥1 of the following high-risk criteria: drugs that increase fall risk among patients with fall history; drug-drug interactions that increase fall risk; thiazolidinedione, NSAID, or non-dihydropyridine calcium channel blocker in heart failure; and glyburide, glimepiride, or NSAID in chronic kidney disease. INTERVENTIONS: Physicians received EHR alerts when renewing or prescribing certain high-risk medications when criteria were met. One practice received a "commitment nudge" that offered a chance to commit to addressing high-risk polypharmacy at the next visit. One practice received a "justification nudge" that asked for a reason when high-risk polypharmacy was present. One practice received both. KEY RESULTS: Among 55,107 patients 65 and older prescribed 5 or more medications, 6256 (7.9%) had one or more high-risk criteria. During the pilot, the mean (SD) number of nudges per physician per week was 1.7 (0.4) for commitment, 0.8 (0.5) for justification, and 1.9 (0.5) for both interventions. Physicians requested to be reminded to address high-risk polypharmacy for 236/833 (28.3%) of the commitment nudges and acknowledged 441 of 460 (95.9%) of justification nudges, providing a text response for 187 (40.7%). CONCLUSIONS: EHR-based measures and nudges addressing high-risk polypharmacy were feasible to develop and implement, and warrant further testing.

Nursing Home Provider Perceptions of Telemedicine for Providing Specialty Consults.

BACKGROUND: Nursing homes (NHs) provide care to a complex patient population and face the ongoing challenge of meeting resident needs for specialty care. A NH telemedicine care model could improve access to remote specialty providers. INTRODUCTION: Little is known about provider interest in telemedicine for specialty consults in the NH setting. The goal of this study was to survey a national sample of NH physicians and advanced practice providers to document their views on telemedicine for providing specialty consults in the NH. MATERIALS AND METHODS: We surveyed physician and advanced practice providers who attended the 2016 AMDA-The Society for Post-Acute and Long-Term Care Medicine Annual Conference about their likelihood of referral to and perceptions of a telemedicine program for providing specialty consults in the NH. RESULTS: We received surveys from 524 of the 1,274 conference attendees for a 41.1% response rate. Respondents expressed confidence in the ability of telemedicine to fill existing service gaps and provide appropriate, timelier care. Providers showed the highest level of interest in telemedicine for dermatology, geriatric psychiatry, and infectious disease. Only 13% of respondents indicated that telemedicine was available for use in one of their facilities. DISCUSSION: There appears to be unmet demand for telemedicine in NHs for providing specialty consults to residents. CONCLUSIONS: The responses of NH providers suggest support for the concept of telemedicine as a modality of care that can be used to offer specialty consults to NH residents.

Perceptions of Nursing Facility Providers on the Utility of Deprescribing.

OBJECTIVE: Potentially inappropriate medications carry significant burden and costs to nursing facility residents and health systems. The goal of this study was to survey nursing facility providers from across the United States to describe the current utilization of deprescribing, and perceptions and desired components of a deprescribing program, in nursing facilities to reduce potentially inappropriate medications. DESIGN/SETTING/PARTICIPANTS/MEASUREMENT: We surveyed health care providers who attended the 2017 AMDA-The Society for Post-Acute and Long-Term Care Medicine Annual Conference-in Phoenix, Arizona. Returned surveys were entered into an electronic database from paper copies. Survey responses were summarized using descriptive statistics. RESULTS: Of the 1,431 conference attendees, 637 surveys were returned for a 45% response rate. Most respondents were physicians (n = 563, 88%). Respondents indicated a strong agreement with the potential for deprescribing to reduce cost to residents and nursing administration time and burden, while disagreeing that deprescribing may be depersonalizing. Respondents indicated clear preference for deprescribing programs to target medications that are no longer indicated and are "high risk," and that such programs should include discussions with the resident. Respondents also agreed that deprescribing programs are successful if the resident, or the resident's family and/or caregivers, reports an improvement in quality of life. CONCLUSION: Among respondents there was a high degree of confidence in the potential impact of deprescribing initiatives, as well as a broad consensus of desired components. This information may increase consultant pharmacist engagement and drive future proactive deprescribing initiatives.

The DE-PHARM Project: A Pharmacist-Driven Deprescribing Initiative in a Nursing Facility.

OBJECTIVE: Many residents with life-limiting illnesses are being prescribed and taking potentially inappropriate medications (PIMs) and questionably beneficial medications either near or at the end of life. These medications can contribute to adverse drug reactions, increase morbidity, and increase unnecessary burden and cost. It is crucial that the process of deprescribing be incorporated into the care of these residents. After developing a clinical pharmacist-driven deprescribing initiative in the nursing facility, the objective of this project was to reduce the number of PIMs via accepted recommendations from the clinical pharmacist to the primary team. DESIGN/SETTING/PARTICIPANTS: The Discussion to Ensure the Patient-centered, Health-focused, prognosis-Appropriate, and Rational Medication regimen (DE-PHARM) quality improvement-approved project was conducted in an urban, academic nursing facility in Pittsburgh, Pennsylvania. The pilot phase occurred between October 2015 and April 2016. To be included in this study, participants had to be a custodial resident of the nursing facility with a previously documented comfort-focused treatment plan. All medications used for the management of chronic comorbid diseases were eligible for review. RESULTS: Forty-seven residents managed by eight different primary teams met inclusion criteria. Thirty-nine recommendations for 23 residents were made by the clinical pharmacist, with an average of 0.82 and range of 0-5 recommendations per resident, respectively. Of those, only 10 (26%) were accepted, 1 (3%) was modified, 3 (7%) were rejected, and 25 (64%) had no response within the 120-day response period. Additionally, two residents died during the project, and one resident was readmitted to the hospital for a prolonged period of time. CONCLUSION: The pilot phase of the DE-PHARM project, a clinical pharmacist-driven deprescribing initiative, was designed and assessed. This project demonstrated the feasibility of such an initiative. Because of the complexity of such a process, special attention must be paid to eligible residents and medications, the need for interprofessional collaboration, and the operational process. This project is ongoing in other nursing facilities in Western Pennsylvania.

Use of Telemedicine to Enhance Pharmacist Services in the Nursing Facility.

OBJECTIVE: To conduct a systematic literature review to determine what telemedicine services are provided by pharmacists and the impact of these services in the nursing facility setting. DATA SOURCES: MEDLINE®, Scopus®, and Embase® databases. STUDY SELECTION: The terms "telemedicine" or "telehealth" were combined by "and" with the terms "pharmacist" or "pharmacy" to identify pharmacists' use of telemedicine. Also, "telepharmacy" was added as a search term. The initial search yielded 322 results. These abstracts were reviewed by two individuals independently, for selection of articles that discussed telemedicine and involvement of a pharmacist, either as the primary user of the service or as part of an interprofessional health care team. Those abstracts discussing the pharmacist service for purpose of dispensing or product preparation were excluded. DATA EXTRACTION: A description of pharmacists' services provided and the impact on resident care. DATA SYNTHESIS: Only three manuscripts met inclusion criteria. One was a narrative proposition of the benefits of using telemedicine by senior care pharmacists. Two published original research studies indirectly assessed the pharmacists' use of telemedicine in the nursing facility through an anticoagulation program and an osteoporosis management service. Both services demonstrated improvement in patient care. CONCLUSION: There is a general paucity of practice-related research to demonstrate potential benefits of pharmacists' services incorporating telemedicine. Telemedicine may be a resource-efficient approach to enhance pharmacist services in the nursing facility and improve resident care.

Physician Perceptions of Consultant Pharmacist Services Associated with an Intervention for Adverse Drug Events in the Nursing Facility.

OBJECTIVE: To assess the importance and performance of consultant pharmacist services delivered before and after an intervention to detect and manage adverse drug events among nursing facility residents. DESIGN: Before and after intervention survey of physicians participating in a randomized, controlled trial. SETTING: Four nonprofit, academically affiliated nursing facilities. PARTICIPANTS: Attending physicians providing nursing facility care who were randomized to intervention or control groups. INTERVENTIONS: Within the intervention arm, consultant pharmacists provided academic detailing in which trained health care professionals visit practicing physicians in their offices and present the most up-to-date clinical information. Physicians responded to alerts from a medication monitoring system, adjudicated system alerts for adverse drug events (ADEs), and provided structured recommendations about ADE management. MAIN OUTCOME MEASURES: We compared physicians' assessments of the importance and performance of consultant pharmacist services before and after the trial intervention in the intervention and control groups. RESULTS: In the intervention group, ratings of importance increased for all 24 survey questions, and 5 of the changes were statistically significant (P < 0.05). In the control group, ratings of importance increased for 16 questions, and none of the changes were statistically significant. In the intervention group, ratings of performance increased for all 24 questions, and 20 of the changes were statistically significant. In the control group, ratings of performance increased for 16 questions, and none of the changes was statistically significant. CONCLUSION: A multifaceted, consultant pharmacist-led intervention comprising academic detailing, computerized decision support, and structured communication framework can improve physicians' assessment of importance and performance of consultant pharmacist services. ABBREVIATIONS: ADE = Adverse drug event, M = Statistically significant mean, RCT = Randomized controlled trial, SBAR = Situation, Background, Discussion, Recommendation, SD = Standard deviation.

A Multicenter Evaluation of Off-Label Medication Use and Associated Adverse Drug Reactions in Adult Medical ICUs.

OBJECTIVE: Prior research indicates that off-label use is common in the ICU; however, the safety of off-label use has not been assessed. The study objective was to determine the prevalence of adverse drug reactions associated with off-label use and evaluate off-label use as a risk factor for the development of adverse drug reactions in an adult ICU population. DESIGN: Multicenter, observational study SETTING: : Medical ICUs at three academic medical centers. PATIENTS: Adult patients (age ≥ 18 yr old) receiving medication therapy. INTERVENTIONS: All administered medications were evaluated for Food and Drug Administration-approved or off-label use. Patients were assessed daily for the development of an adverse drug reaction through active surveillance. Three adverse drug reaction assessment instruments were used to determine the probability of an adverse drug reaction resulting from drug therapy. Severity and harm of the adverse drug reaction were also assessed. Cox proportional hazard regression was used to identify a set of covariates that influenced the rate of adverse drug reactions. MEASUREMENTS AND MAIN RESULTS: Overall, 1,654 patient-days (327 patients) and 16,391 medications were evaluated, with 43% of medications being used off-label. One hundred and sixteen adverse drug reactions were categorized dichotomously (Food and Drug Administration or off-label), with 56% and 44% being associated with Food and Drug Administration-approved and off-label use, respectively. The number of adverse drug reactions for medications administered and the number of harmful and severe adverse drug reactions did not differ for medications used for Food and Drug Administration-approved or off-label use (0.74% vs 0.67%; p = 0.336; 33 vs 31 events, p = 0.567; 24 vs 24 events, p = 0.276). Age, sex, number of high-risk medications, number of off-label medications, and severity of illness score were included in the Cox proportional hazard regression. It was found that the rate of adverse drug reactions increases by 8% for every one additional off-label medication (hazard ratio = 1.08; 95% CI, 1.018-1.154). CONCLUSION: Although adverse drug reactions do not occur more frequently with off-label use, adverse drug reaction risk increases with each additional off-label medication used.

Risk factors for acute kidney injury in older adults with critical illness: a retrospective cohort study.

BACKGROUND: Risk for acute kidney injury (AKI) in older adults has not been evaluated systematically. We sought to delineate the determinants of risk for AKI in older compared with younger adults. STUDY DESIGN: Retrospective analysis of patients hospitalized in July 2000 to September 2008. SETTING & PARTICIPANTS: We identified all adult patients admitted to an intensive care unit (n=45,655) in a large tertiary-care university hospital system. We excluded patients receiving dialysis or a kidney transplant prior to hospital admission and patients with baseline creatinine levels ≥ 4mg/dL, liver transplantation, indeterminate AKI status, or unknown age, leaving 39,938 patients. PREDICTOR: We collected data for multiple susceptibilities and exposures, including age, sex, race, body mass, comorbid conditions, severity of illness, baseline kidney function, sepsis, and shock. OUTCOMES: We defined AKI according to KDIGO (Kidney Disease: Improving Global Outcomes) criteria. We examined susceptibilities and exposures across age strata for impact on the development of AKI. MEASUREMENTS: We calculated area under the receiver operating characteristic curve (AUC) for prediction of AKI across age groups. RESULTS: 25,230 (63.2%) patients were 55 years or older. Overall, 25,120 (62.9%) patients developed AKI (69.2% aged ≥55 years). Examples of risk factors for AKI in the oldest age category (≥75 years) were drugs (vancomycin, aminoglycosides, and nonsteroidal anti-inflammatories), history of hypertension (OR, 1.13; 95% CI, 1.02-1.25), and sepsis (OR, 2.12; 95% CI, 1.68-2.67). Fewer variables remained predictive of AKI as age increased and the model for older patients was less predictive (P<0.001). For the age categories 18 to 54, 55 to 64, 65 to 74, and 75 years or older, AUCs were 0.744 (95% CI, 0.735-0.752), 0.714 (95% CI, 0.702-0.726), 0.706 (95% CI, 0.693-0.718), and 0.673 (95% CI, 0.661-0.685), respectively. LIMITATIONS: Analysis may not apply to non-intensive care unit patients. CONCLUSIONS: The likelihood of developing AKI increases with age; however, the same variables are less predictive for AKI as age increases. Efforts to quantify risk for AKI may be more difficult in older adults.

Potentially suboptimal prescribing for older veteran nursing home patients with dementia.

BACKGROUND: Nursing home patients with dementia may be more likely to suffer adverse drug events from suboptimal prescribing. Previous studies have not used national samples, nor have they examined multiple types of suboptimal prescribing by dementia severity. OBJECTIVE: To examine the prevalence of and factors associated with potentially suboptimal prescribing in older veteran nursing home patients with dementia. METHODS: This is a retrospective descriptive study of 1303 veterans 65 years or older admitted between January 1, 2004, and June 30, 2005, with dementia for long stays (90+ days) to 133 Veterans Affairs Community Living Centers. Dementia severity was determined by the Cognitive Performance Scale and functional status dependences. RESULTS: Overall, 70.2% with mild-moderate dementia (n = 1076) had underuse because they did not receive an acetylcholinesterase inhibitor (AChEI), and 27.2% had evidence of inappropriate use because of a drug-disease or drug-drug-disease interaction. Of the 227 with severe dementia, 36.1% had overuse by receiving an AChEI or lipid-lowering or other agents, and 25.1% had evidence of inappropriate use as a result of a drug-disease or drug-drug interaction. Multinomial logistic regression analyses among those with mild to moderate dementia identified that living in the South versus other regions was the single factor associated with all 3 types of suboptimal prescribing. In those with severe dementia, antipsychotic use was associated with all 3 suboptimal prescribing types. CONCLUSIONS: Potentially suboptimal prescribing was common in older veteran nursing home patients with dementia. Clinicians should develop a heightened awareness of these problems. Future studies should examine associations between potentially suboptimal prescribing and health outcomes in patients with dementia.

Use of HIT for adverse event reporting in nursing homes: barriers and facilitators.

BACKGROUND & OBJECTIVE: Approximately 8 million adverse events occur annually in nursing homes (NHs). The focus of this research is to determine barriers and health information technology (HIT)-related facilitators to adverse event reporting among U.S. NHs. METHODS: Surveys were returned by 399 nursing home administrators using a mailed survey approach. Respondents were asked to report on their adverse event reporting processes focusing on barriers and role of HIT facilitators. RESULTS: About 15% of NHs had computerized entry by the nurse on the unit and almost 18% used no computer technology to track, monitor, or maintain adverse event data. One-third of nursing directors conducted data analysis "by-hand." NHs without HIT were more likely to not be accredited (p = 0.04) and not part of a chain/corporation (p = 0.03). Two of the top three barriers focused on fears of reporting as a barrier. CONCLUSIONS: This study found numerous barriers and few HIT-related facilitators to assist with adverse event reporting. Improvements in facilitating adverse event reporting through the use of HIT approaches may be warranted.

Utility of an adverse drug event trigger tool in Veterans Affairs nursing facilities.

OBJECTIVE: To determine the utility (i.e., positive predictive value [PPV] and time requirement) of an adverse drug event (ADE) trigger tool in Veterans Affairs (VA) nursing facilities and to describe the most common types of potential ADEs detected with the trigger tool. DESIGN: Retrospective chart review. SETTING/PATIENTS: Veterans residing in three VA nursing facilities between September 29, 2010, and October 29, 2010. MEASUREMENT: We used the Institute for Healthcare Improvement-endorsed nursing facility ADE trigger tool, modified to enhance its clinical relevance to detect potential ADEs. Electronic medical records were screened to identify residents with one or more abnormal laboratory values specified in the trigger tool. MAIN OUTCOME MEASURES: A potential ADE was defined as the concurrent administration of medication that could cause the abnormal laboratory value. An overall PPV, or proportion of residents with an abnormal laboratory value who had a potential ADE, and average time required to complete each trigger tool assessment, were calculated. RESULTS: Among 321 veterans, 50.5% (n = 162) had at least one abnormal laboratory value contained in the trigger tool. Ninety-nine potential ADEs involving 146 medications were detected in 65 veterans. The overall PPV of the ADE trigger tool was 40.1% (65/162), and the average time to complete resident assessments was 8.8 (standard deviation ± 5.7) minutes. The most common potential ADEs were acute kidney injury (n = 30 residents), hypokalemia (n = 18), hypoglycemia (n = 13), and hyperkalemia (n = 10). CONCLUSIONS: The modified nursing facility trigger tool was shown to be an effective and efficient method for detecting potential ADEs.

Use of antipsychotics among older residents in VA nursing homes.

BACKGROUND: Antipsychotic medications are commonly prescribed to nursing home residents despite their well-established adverse event profiles. Because little is known about their use in Veterans Affairs (VA) nursing homes [ie, Community Living Centers (CLCs)], we assessed the prevalence and risk factors for antipsychotic use in older residents of VA CLCs. METHODS: This cross-sectional study included 3692 Veterans age 65 or older who were admitted between January 2004 and June 2005 to one of 133 VA CLCs and had a stay of ≥90 days. We used VA Pharmacy Benefits Management data to examine antipsychotic use and VA Medical SAS datasets and the Minimum Data Set to identify evidence-based indications for antipsychotic use (eg, schizophrenia, dementia with psychosis). We used multivariable logistic regression and generalized estimating equations to identify factors independently associated with antipsychotic receipt. RESULTS: Overall, 948/3692(25.7%) residents received an antipsychotic, of which 59.3% had an evidence-based indication for use. Residents with aggressive behavior [odds ratio (OR)=2.74, 95% confidence interval (CI), 2.04-3.67] and polypharmacy (9+ drugs; OR=1.84, 95% CI, 1.41-2.40) were more likely to receive antipsychotics, as were users of antidepressants (OR=1.37, 95% CI, 1.14-1.66), anxiolytic/hypnotics (OR=2.30, 95% CI, 1.64-3.23), or drugs for dementia (OR=1.52, 95% CI, 1.21-1.92). Those residing in Alzheimer/dementia special care units were also more likely to receive an antipsychotic (OR=1.66, 95% CI, 1.26-2.21). Veterans with dementia but no documented psychosis were as likely as those with an evidence-based indication to receive an antipsychotic (OR=1.10, 95% CI, 0.82-1.47). CONCLUSIONS: Antipsychotic use is common among VA nursing home residents aged 65 and older, including those without a documented evidence-based indication for use. Further quality improvement efforts are needed to reduce potentially inappropriate antipsychotic prescribing.

Clinical decision support to promote safe prescribing to women of reproductive age: a cluster-randomized trial.

BACKGROUND: Potentially teratogenic medications are frequently prescribed without provision of contraceptive counseling. OBJECTIVE: To evaluate whether computerized clinical decision support (CDS) can increase primary care providers' (PCPs') provision of family planning services when prescribing potentially teratogenic medications. DESIGN: Cluster-randomized trial conducted in one academic and one community-based practice between October of 2008 and April of 2010. PARTICIPANTS/INTERVENTIONS: Forty-one PCPs were randomized to receive one of two types of CDS which alerted them to risks of medication-induced birth defects when ordering potentially teratogenic medications for women who may become pregnant. The 'simple' CDS provided a cautionary alert; the 'multifaceted' CDS provided tailored information and links to a structured order set designed to facilitate safe prescribing. Both CDS systems alerted PCPs about medication risk only once per encounter. MAIN MEASURES: We assessed change in documented provision of family planning services using data from 35,110 encounters and mixed-effects models. PCPs completed surveys before and after the CDS systems were implemented, allowing assessment of change in PCP-reported counseling about the risks of medication-induced birth defects and contraception. KEY RESULTS: Both CDS systems were associated with slight increases in provision of family planning services when potential teratogens were prescribed, without a significant difference in improvement by CDS complexity (p = 0.87). Because CDS was not repeated, 13% of the times that PCPs received CDS they substituted another potential teratogen. PCPs reported significant improvements in several counseling and prescribing practices. The multifaceted group reported a greater increase in the number of times per month they discussed the risks of medication use during pregnancy (multifaceted: +4.9 ± 7.0 vs. simple: +0.8 ± 3.2, p = 0.03). The simple CDS system was associated with greater clinician satisfaction. CONCLUSIONS: CDS systems hold promise for increasing provision of family planning services when fertile women are prescribed potentially teratogenic medications, but further refinement of these systems is needed.

Falls prediction using the nursing home minimum dataset.

OBJECTIVE: The purpose of the study was to develop and validate a model to predict the risk of experiencing a fall for nursing home residents utilizing data that are electronically available at the more than 15 000 facilities in the United States. MATERIALS AND METHODS: The fall prediction model was built and tested using 2 extracts of data (2011 through 2013 and 2016 through 2018) from the Long-term Care Minimum Dataset (MDS) combined with drug data from 5 skilled nursing facilities. The model was created using a hybrid Classification and Regression Tree (CART)-logistic approach. RESULTS: The combined dataset consisted of 3985 residents with mean age of 77 years and 64% female. The model's area under the ROC curve was 0.668 (95% confidence interval: 0.643-0.693) on the validation subsample of the merged data. DISCUSSION: Inspection of the model showed that antidepressant medications have a significant protective association where the resident has a fall history prior to admission, requires assistance to balance while walking, and some functional range of motion impairment in the lower body; even if the patient exhibits behavioral issues, unstable behaviors, and/or are exposed to multiple psychotropic drugs. CONCLUSION: The novel hybrid CART-logit algorithm is an advance over the 22 fall risk assessment tools previously evaluated in the nursing home setting because it has a better performance characteristic for the fall prediction window of ≤90 days and it is the only model designed to use features that are easily obtainable at nearly every facility in the United States.

Safety culture of nursing homes: opinions of top managers.

BACKGROUND: Examining the perception of patient safety culture (PSC) of top managers in health care settings is important because their orientation to PSC can have a large influence on the facility. PURPOSES: In this research, the perception of PSC of nursing home administrators (NHAs) and directors of nursing (DONs) is examined. METHODOLOGY/APPROACH: Primary data were collected to examine the opinions of NHAs and DONs regarding PSC. Information was collected from a large nationally representative sample of 4,000 nursing homes. The Nursing Home Survey on Patient Safety Culture survey instrument was used as a measure of PSC. This has 12 domains and 38 items. Bias indexes, intraclass correlation coefficients, and Pearson's product-moment correlation coefficients of the differences between NHA and DON item scores were examined. FINDINGS: Using a 0-100 scale, most scores fell into the 55-80 range. Higher scores represent a higher (more favorable) PSC. Agreement between the NHAs and DONs was excellent in 10 items, good in 15 items, moderate in 4 items, and poor in 8 items. Of the four largest differences in scores, the NHA scores were higher than the DON scores for 1 item, and DON scores were higher than the NHA scores for 3 items. IMPLICATIONS: The overall perception from both NHAs and DONs appear to represent a somewhat "positive" outlook from these top managers on their institution's PSC. However, NHAs in general report higher scores than DONs do. The areas of divergence between these top managers are further discussed, with a view toward directing future patient safety investigations and initiatives in nursing homes.

Incorporating INTERACT II Clinical Decision Support Tools into Nursing Home Health Information Technology.

A substantial reduction in hospitalization rates has been associated with the implementation of the Interventions to Reduce Acute Care Transfers (INTERACT) quality improvement intervention using the accompanying paper-based clinical practice tools (INTERACT II). There is significant potential to further increase the impact of INTERACT by integrating INTERACT II tools into nursing home (NH) health information technology (HIT) via standalone or integrated clinical decision support (CDS) systems. This article highlights the process of translating INTERACT II tools from paper to NH HIT. The authors believe that widespread dissemination and integration of INTERACT II CDS tools into various NH HIT products could lead to sustainable improvement in resident and clinician process and outcome measures, including enhanced interclinician communication and a reduction in potentially avoidable hospitalizations.

Nursing home deficiency citations for safety.

Deficiency citations for safety violations in U.S. nursing homes from 2000 to 2007 are examined (representing a panel of 119,472 observations). Internal (i.e., operating characteristics of the facility), organizational factors (i.e., characteristics of the facility itself), and external factors (i.e., characteristics outside of the influence of the organization) associated with these deficiency citations are examined. The findings show that nursing homes increasingly receive deficiency citations for resident safety issues. Low staffing levels, poor quality of care, and an unfavorable Medicaid mix (occupancy and reimbursement) are associated with the likelihood of receiving deficiency citations for safety violations. In many cases, this likely influences the quality of life and quality of care of residents.

Introduction of the BNT162b2 vaccine during a COVID-19 nursing home outbreak.

BACKGROUND: Coronavirus disease 2019 (COVID-19) outbreaks often occur in nursing homes and prompt frequent surveillance testing for SARS-CoV-2. A single dose of the BNT162b2 vaccine reduces viral load and transmission. In this study, we describe the real-world efficacy of BNT162b2 single-dose vaccination during a COVID-19 outbreak at a Veterans Affairs Community Living Center (CLC). METHODS: From 12/2/20 to 5/14/21, twice weekly antigen testing was used to detect COVID-19 among 146 residents at the CLC. Residents without a prior history of COVID-19 who agreed to immunization were vaccinated with the BNT162b2 vaccine on 12/16/20 and 1/6/21. Single-dose vaccine efficacy was determined for days 1-21 and days 14-21 after the first vaccine dose. RESULTS: The outbreak occurred from 12/2/20 to 1/7/21 with an attack rate of 30.8% (45/146); 46.7% (21/45) of the cases were due to asymptomatic COVID-19. One unit accounted for 77.8% (35/45) of the cases. In the vaccine analysis, 116 residents were a median age of 74.5 years and 93.1% (108/116) had ≥ 1 comorbid condition. Between the first and second dose, 15.5% (15/97) of vaccinated residents, and 21.2% (4/19) of unvaccinated residents developed COVID-19 (P = .81). One week after the second dose, no cases of COVID-19 occurred. CONCLUSIONS: Albeit limited by the small numbers, a single dose of the BNT162b2 vaccine was not efficacious at preventing COVID-19 during this nursing home outbreak.

The Association of Nursing Home Characteristics and Quality with Adverse Events After a Hospitalization.

BACKGROUND/OBJECTIVES: We previously found high rates of adverse events (AEs) for long-stay nursing home residents who return to the facility after a hospitalization. Further evidence about the association of AEs with aspects of the facilities and their quality may support quality improvement efforts directed at reducing risk. DESIGN: Prospective cohort analysis. SETTING AND PARTICIPANTS: 32 nursing homes in the New England states. A total of 555 long-stay residents contributed 762 returns from hospitalizations. METHODS: We measured the association between AEs developing in the 45 days following discharge back to long-term care and characteristics of the nursing homes including bed size, ownership, 5-star quality ratings, registered nurse and nursing assistant hours, and the individual Centers for Medicare & Medicaid Services (CMS) quality indicators. We constructed Cox proportional hazards models controlling for individual resident characteristics that were previously found associated with AEs. RESULTS: We found no association of AEs with most nursing home characteristics, including 5-star quality ratings and the composite quality score. Associations with individual quality indicators were inconsistent and frequently not monotonic. Several individual quality indicators were associated with AEs; the highest tertile of percentage of residents with depression (4%-25%) had a hazard ratio (HR) of 1.65 [95% confidence interval (CI) 1.16, 2.35] and the highest tertile of the percentage taking antipsychotic medications (18%-35%) had an HR of 1.58 (CI 1.13, 2.21). The percentage of residents needing increased assistance with activities of daily living was statistically significant but not monotonic; the middle tertile (13% to <20%) had an HR of 1.69 (CI 1.16, 2.47). CONCLUSIONS AND IMPLICATIONS: AEs occurring during transitions between nursing homes and hospitals are not explained by the characteristics of the facilities or summary quality scores. Development of risk reduction approaches requires assessment of processes and quality beyond the current quality measures.

Transforming the Medication Regimen Review Process Using Telemedicine to Prevent Adverse Events.

BACKGROUND/OBJECTIVES: Federally-mandated consultant pharmacist-conducted retrospective medication regimen reviews (MRRs) are designed to improve medication safety in nursing homes (NH). However, MRRs are potentially ineffective. A new model of care that improves access to and efficiency of consultant pharmacists is needed. The objective of this study was to determine the impact of pharmacist-led telemedicine services on reducing high-risk medication adverse drug events (ADEs) for NH residents using medication reconciliation and prospective MRR on admission plus ongoing clinical decision support alerts throughout the residents' stay. DESIGN: Quality improvement study using a stepped-wedge design comparing the novel service to usual care in a one-year evaluation from November 2016 to October 2017. SETTING: Four NHs (two urban, two suburban) in Southwestern Pennsylvania. PARTICIPANTS: All residents in the four NHs were screened. There were 2,127 residents admitted having 652 alerts in the active period. INTERVENTION: Upon admission, pharmacists conducted medication reconciliation and prospective MRR for residents and also used telemedicine for communication with cognitively-intact residents. Post-admission, pharmacists received clinical decision support alerts to conduct targeted concurrent MRRs and telemedicine. MEASUREMENT: Main outcome was incidence of high-risk medication, alert-specific ADEs. Secondary outcomes included all-cause hospitalization, 30-day readmission rates, and consultant pharmacists' recommendations. RESULTS: Consultant pharmacists provided 769 recommendations. The intervention group had a 92% lower incidence of alert-specific ADEs than usual care (9 vs 31; 0.14 vs 0.61/1,000-resident-days; adjusted incident rate ratio (AIRR) = 0.08 (95% confidence interval (CI) = 0.01-0.40]; P = .002). All-cause hospitalization was similar between groups (149 vs 138; 2.33 vs 2.70/1,000-resident-days; AIRR = 1.06 (95% CI = 0.72-1.58); P = .75), as were 30-day readmissions (110 vs 102; 1.72 vs 2.00/1,000-resident-days; AIRR = 1.21 (95% CI = 0.76-1.93); P = .42). CONCLUSIONS: This is the first evaluation of the impact of pharmacist-led patient-centered telemedicine services to manage high-risk medications during transitional care and throughout the resident's NH stay, supporting a new model of patient care.