Reducing Avoidable Hospitalizations and Improving Quality in Nursing Homes With APRNs and Interdisciplinary Support: Lessons Learned

Optimizing Response Rates to Examine Health IT Maturity and Nurse Practitioner Care Environments in US Nursing Homes: Mixed Mode Survey Recruitment Protocol

BACKGROUND

Survey-driven research is a reliable method for large-scale data collection. Investigators incorporating mixed-mode survey designs report benefits for survey research including greater engagement, improved survey access, and higher response rate. Mix-mode survey designs combine 2 or more modes for data collection including web, phone, face-to-face, and mail. Types of mixed-mode survey designs include simultaneous (ie, concurrent), sequential, delayed concurrent, and adaptive. This paper describes a research protocol using mixed-mode survey designs to explore health IT (HIT) maturity and care environments reported by administrators and nurse practitioners (NPs), respectively, in US nursing homes (NHs).

OBJECTIVE

The aim of this study is to describe a research protocol using mixed-mode survey designs in research using 2 survey tools to explore HIT maturity and NP care environments in US NHs.

METHODS

We are conducting a national survey of 1400 NH administrators and NPs. Two data sets (ie, Care Compare and IQVIA) were used to identify eligible facilities at random. The protocol incorporates 2 surveys to explore how HIT maturity (survey 1 collected by administrators) impacts care environments where NPs work (survey 2 collected by NPs). Higher HIT maturity collected by administrators indicates greater IT capabilities, use, and integration in resident care, clinical support, and administrative activities. The NP care environment survey measures relationships, independent practice, resource availability, and visibility. The research team conducted 3 iterative focus groups, including 14 clinicians (NP and NH experts) and recruiters from 2 national survey teams experienced with these populations to achieve consensus on which mixed-mode designs to use. During focus groups we identified the pros and cons of using mixed-mode designs in these settings. We determined that 2 mixed-mode designs with regular follow-up calls (Delayed Concurrent Mode and Sequential Mode) is effective for recruiting NH administrators while a concurrent mixed-mode design is best to recruit NPs.

RESULTS

Participant recruitment for the project began in June 2023. As of April 22, 2024, a total of 98 HIT maturity surveys and 81 NP surveys have been returned. Recruitment of NH administrators and NPs is anticipated through July 2025. About 71% of the HIT maturity surveys have been submitted using the electronic link and 23% were submitted after a QR code was sent to the administrator. Approximately 95% of the NP surveys were returned with electronic survey links.

CONCLUSIONS

Pros of mixed-mode designs for NH research identified by the team were that delayed concurrent, concurrent, and sequential mixed-mode methods of delivering surveys to potential participants save on recruitment time compared to single mode delivery methods. One disadvantage of single-mode strategies is decreased versatility and adaptability to different organizational capabilities (eg, access to email and firewalls), which could reduce response rates.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/56170.

Longitudinal Evaluation of a Statewide Quality Improvement Program for Nursing Homes

OBJECTIVES

The National Academies of Sciences, Engineering, and Medicine (NASEM) Nursing Home Quality report recommends that states "develop and operate state-based…technical assistance programs…to help nursing homes…improve care and…operations." The Quality Improvement Program for Missouri (QIPMO) is one such program. This longitudinal evaluation examined and compared differences in quality measures (QMs) and nursing home (NH) characteristics based on intensity of QIPMO services used.

DESIGN

A descriptive study compared key QMs of clinical care, facility-level characteristics, and differing QIPMO service intensity use. QIPMO services include on-site clinical consultation by expert nurses; evidence-based practice information; teaching NHs use of quality improvement (QI) methods; and guiding their use of Centers for Medicare and Medicaid Services (CMS)-prepared QM comparative feedback reports to improve care.

SETTING AND PARTICIPANTS

All Missouri NHs (n = 510) have access to QIPMO services at no charge. All used some level of service during the study, 2020-2022.

METHODS

QM data were drawn from CMS's publicly available website (Refresh April 2023) and NH characteristics data from other public websites. Service intensity was calculated using data from facility contacts (on-site visits, phone calls, texts, emails, webinars). NHs were divided into quartiles based on service intensity.

RESULTS

All groups had different beginning QM scores and improved ending scores. Group 2, moderate resource intensity use, started with "worse" overall score and improved to best performing by the end. Group 4, most resource intensity use, improved least but required highest service intensity.

CONCLUSIONS AND IMPLICATIONS

This longitudinal evaluation of QIPMO, a statewide QI technical assistance and support program, provides evidence of programmatic stimulation of statewide NH quality improvements. It provides insight into intensity of services needed to help facilities improve. Other states should consider QIPMO success and develop their own programs, as recommended by the NASEM report so their NHs can embrace QI and "initiate fundamental change" for better care for our nation's older adults.

Reducing unplanned hospital admissions from care homes: a systematic review

Background

Care homes predominantly care for older people with complex health and care needs, who are at high risk of unplanned hospital admissions. While often necessary, such admissions can be distressing and provide an opportunity cost as well as a financial cost.

Objectives

Our objective was to update a 2014 evidence review of interventions to reduce unplanned admissions of care home residents. We carried out a systematic review of interventions used in the UK and other high-income countries by synthesising evidence of effects of these interventions on hospital admissions; feasibility and acceptability; costs and value for money; and factors affecting applicability of international evidence to UK settings.

Data sources

We searched the following databases in December 2021 for studies published since 2014: Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews; Cumulative Index to Nursing and Allied Health Literature; Health Management Information Consortium; Medline; PsycINFO; Science and Social Sciences Citation Indexes; Social Care Online; and Social Service Abstracts. 'Grey' literature (January 2022) and citations were searched and reference lists were checked.

Methods

We included studies of any design reporting interventions delivered in care homes (with or without nursing) or hospitals to reduce unplanned hospital admissions. A taxonomy of interventions was developed from an initial scoping search. Outcomes of interest included measures of effect on unplanned admissions among care home residents; barriers/facilitators to implementation in a UK setting and acceptability to care home residents, their families and staff. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. We used published frameworks to extract data on intervention characteristics, implementation barriers/facilitators and applicability of international evidence. We performed a narrative synthesis grouped by intervention type and setting. Overall strength of evidence for admission reduction was assessed using a framework based on study design, study numbers and direction of effect.

Results

We included 124 publications/reports (30 from the UK). Integrated care and quality improvement programmes providing additional support to care homes (e.g. the English Care Homes Vanguard initiatives and hospital-based services in Australia) appeared to reduce unplanned admissions relative to usual care. Simpler training and staff development initiatives showed mixed results, as did interventions aimed at tackling specific problems (e.g. medication review). Advance care planning was key to the success of most quality improvement programmes but do-not-hospitalise orders were problematic. Qualitative research identified tensions affecting decision-making involving paramedics, care home staff and residents/family carers. The best way to reduce end-of-life admissions through access to palliative care was unclear in the face of inconsistent and generally low-quality evidence.

Conclusions

Effective implementation of interventions at various stages of residents' care pathways may reduce unplanned admissions. Most interventions are complex and require adaptation to local contexts. Work at the interface between health and social care is key to successful implementation.

Limitations

Much of the evidence identified was of low quality because of factors such as uncontrolled study designs and small sample size. Meta-analysis was not possible.

Future work

We identified a need for improved economic evidence and the evaluation of integrated care models of the type delivered by hospital-based teams. Researchers should carefully consider what is realistic in terms of study design and data collection given the current context of extreme pressure on care homes.

Study registration

This study is registered as PROSPERO database CRD42021289418.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (award number NIHR133884) and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 18. See the NIHR Journals Library website for further project information.

A qualitative study exploring nursing home care environments where nurse practitioners work

Research is needed to support the growing nurse practitioner workforce to assure higher quality care for older adults in nursing homes. Nursing homes with optimal care environments that support nurse practitioner roles, increased visibility, independence, and relationships are better positioned to support care of older adults. This study reports findings of thirteen qualitative interviews with nurse practitioners to explore facets of nursing home care environments and adapt a tool to measure care environments. Our team incorporated deductive and inductive coding to identify three major emerging themes impacting care environments: 1) nurse practitioner practice in nursing homes, 2) overall goals of practice, 3) workplace challenges. Themes were derived from seven overarching categories and 33 codes describing aspects of NH care environment important to nurse practitioners. Some of the most highly important survey items measured nurse practitioner and physician relationships. Less important items measured relationships between nurse practitioners and administration.

Detecting Acute Deterioration in Older Adults Living in Residential Aged Care: A Scoping Review

OBJECTIVES

To explore models, processes, or tools implemented in residential aged care (RAC) to support registered nurses (RNs) to identify and respond to the acute deterioration of residents.

DESIGN

Scoping literature review of English Language articles published in peer reviewed journals.

SETTINGS AND PARTICIPANTS

Studies were conducted in RAC facilities providing long-term 24-hour medical, nursing, and social care for people age 65 years or older with age-related disability.

METHODS

We completed a MESH term and key word search of MEDLINE, Embase, CINAHL, PubMed, and Google Scholar. Included studies had (1) part of the intervention based in RAC; (2) had a direct impact on RAC day to day practice; and (3) contained or provided access to the detail of the intervention. Data was charted by author, date, country, study design and the components, genesis, and efficacy of the methods used to identify and respond to acute deterioration.

RESULTS

We found 46 studies detailing models of care, clinical patterns of acute deterioration, and deterioration detection tools. It was not possible to determine which element of the models care had the greatest impact on RN decision making. The clinical patterns of acute deterioration painted a picture of acute deterioration in the frail. There was limited evidence to support the use of existing deterioration detection tools in the RAC population.

CONCLUSION AND IMPLICATIONS

We found no straight forward systematic method to support RAC RNs to identify and respond to the acute deterioration of residents. This is an important practice gap. The clinical pattern of acute deterioration described in the literature has the potential to be used for the development of a tool to support RAC RNs to identify and respond to the acute deterioration of residents.

Value Propositions for Health Information Exchange Toward Improving Nursing Home Hospital Readmission Rates

The importance of health information technology use in nursing home (NH) care delivery is a major topic in research exploring methods to improve resident care. Topics of interest include how technology investments, infrastructure, and work-force development lead to better methods of nursing care delivery and outcomes. Value propositions, including perceived benefits, incentives, and system changes recognized by end-users, are important resources to inform NH leaders, policymakers, and stakeholders about technology. The purpose of the current research was to identify and disseminate value propositions from a community of stakeholders using a health information exchange (HIE). Researchers used a nominal group process, including 49 individual stakeholders participating in a national demonstration project to reduce avoidable hospitalizations in NHs. Stakeholders identified 41 total anticipated changes from using HIE. Ten stakeholder types were perceived to have experienced the highest impact from HIE in areas related to resident admissions, communication, and efficiency of care delivery. [Journal of Gerontological Nursing, 48(1), 15-20.].

A Call to Address RN, Social Work, and Advanced Practice Registered Nurses in Nursing Homes: Solutions From the Missouri Quality Initiative

BACKGROUND

US nursing homes (NHs) have struggled to overcome a historic pandemic that laid bare limitations in the number and clinical expertise of NH staff.

PROBLEM

For nurse staffing, current regulations require only one registered nurse (RN) on duty 8 consecutive hours per day, 7 days per week, and one RN on call when a licensed practical/vocational nurse is on duty. There is no requirement for a degreed or licensed social worker, and advanced practice registered nurses (APRNs) in NHs cannot bill for services.

APPROACH

It is time to establish regulation that mandates a 24-hour, 7-day-a-week, on-site RN presence at a minimum requirement of 1 hour per resident-day that is adjusted upward for greater resident acuity and complexity. Skilled social workers are needed to improve the quality of care, and barriers for APRN billing for services in NHs need to be removed.

CONCLUSIONS

Coupling enhanced RN and social work requirements with access to APRNs can support staff and residents in NHs.

Medication-related hospital admissions in aged care residents

OBJECTIVE

To determine the prevalence of medication-related hospitalisations preceded by potentially suboptimal processes of care in aged care residents.

METHOD

We conducted a retrospective analysis of administrative claims data from the Australian Government Department of Veterans' Affairs (DVA). We identified all hospital admissions for aged care residents between 1 July 2014 and 30 June 2019. The proportion of hospital admissions preceded by potentially suboptimal medication-related processes of care was determined.

RESULTS

A total of 18 874 hospitalisations were included, and 46% were preceded by potentially suboptimal medication-related care. One-quarter of fracture admissions occurred in residents at risk of fracture who were not using a medicine to prevent fracture, and 87% occurred in residents using falls-risk medicines. Thirty per cent of heart failure admissions occurred in patients who were not using an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker.

CONCLUSION

Nearly half of hospital admissions were preceded by potentially suboptimal medication-related processes of care. Interventions to improve use of medicines for aged care residents in these areas are warranted.

Care needs and preferences from the perspective of COVID-19 patients: A qualitative study

Background: The COVID-19 epidemic is one of the major health problems worldwide due to its inconceivable spreading power and potential damage. Given the increasing prevalence of the disease, the identification of care needs and preferences of patients could play an important role in providing effective training and caring programs. This study was conducted to explain the preferences and needs of care based on the experiences of patients with COVID-19.

Methods: This qualitative study with a content analysis approach was performed in 2 months at a referral general hospital and quarantine centers of COVID-19 in Tehran, the capital of Iran, in 2020. The participants consisted of 15 COVID-19 patients selected through purposive sampling. The data analysis was performed using the conventional content analysis method according to the procedure proposed by Graneheim and Lundman.

Results: The results were classified into 5 main categories: (1) access to desirable care and comfort services; (2) access to education and information from credible sources; (3) access to specialized care; (4) support social needs; and (5) need for deep emotional interactions.

Conclusion: According to our results, identifying priorities and care needs from the perspective of patients with COVID-19 can help improve knowledge, reduce unrealistic patient concerns, and improve emotional interactions between patients and health care providers.

Decision difficulties of long-term-care facility nurses in transferring residents to the emergency department: A cross-sectional nationwide study

AIMS

To examine the level of decision difficulties of long-term-care facility (LTCF) nurses when transferring residents to the emergency department (ED) and associated influencing factors.

DESIGN

A cross-sectional nationwide study.

METHODS

The LTCFs were selected through random stratified sampling across the whole Taiwan during February 2018 to January 2019. LTCF nurses who met the selection criteria were invited to participate with two or three nurses selected from each LTCF. The Patient Transfer Decision Difficulty Scale (PTDDS) was used to measure the level of difficulty in making decisions related to the transfer of residents to the ED. Data were collected by mailing the questionnaires and asking the nurses to return the completed form in 2 weeks. Data were analysed using simple linear regression and multiple regression with stepwise methods.

RESULTS

In total, 618 valid questionnaires with an 85.32% response rate from 319 LTCFs were used for the data analysis. Decision difficulties that LTCF nurses experienced were moderate, the nursing personnel-bed ratio, LTCF professional training and basic life support training were predictive factors of the level of difficulty experience (scores of PTDDS) for the LTCF nurse (F = 6.81, p < .001).

CONCLUSIONS

Enhancing emergency training in LTCF can improve nurses' decision-making ability to refer LTCF residents to emergency treatment.

IMPACT

What problem did the study address? The study addressed the difficult decision LTCF nurses may experience when transferring a resident to the emergency department. What were the main findings? All LTCF nurses faced a moderate level of difficulty in decision-making. 'Transfer timing' was most often considered in the decision-making process when a resident was transferred to the ED. Where and on whom will the research have impact? Results of this study have considerable reference value for LTCF managers and nurses in the decision-making ability and suitability of transferring residents for emergency treatment.

A complex intervention to reduce avoidable hospital admissions in nursing homes: a research programme including the BHiRCH-NH pilot cluster RCT

Background

An unplanned hospital admission of a nursing home resident distresses the person, their family and nursing home staff, and is costly to the NHS. Improving health care in care homes, including early detection of residents’ health changes, may reduce hospital admissions. Previously, we identified four conditions associated with avoidable hospital admissions. We noted promising ‘within-home’ complex interventions including care pathways, knowledge and skills enhancement, and implementation support.

Objectives

Develop a complex intervention with implementation support [the Better Health in Residents in Care Homes with Nursing (BHiRCH-NH)] to improve early detection, assessment and treatment for the four conditions. Determine its impact on hospital admissions, test study procedures and acceptability of the intervention and implementation support, and indicate if a definitive trial was warranted.

Design

A Carer Reference Panel advised on the intervention, implementation support and study documentation, and engaged in data analysis and interpretation. In workstream 1, we developed a complex intervention to reduce rates of hospitalisation from nursing homes using mixed methods, including a rapid research review, semistructured interviews and consensus workshops. The complex intervention comprised care pathways, approaches to enhance staff knowledge and skills, implementation support and clarity regarding the role of family carers. In workstream 2, we tested the complex intervention and implementation support via two work packages. In work package 1, we conducted a feasibility study of the intervention, implementation support and study procedures in two nursing homes and refined the complex intervention to comprise the Stop and Watch Early Warning Tool (S&W), condition-specific care pathways and a structured framework for nurses to communicate with primary care. The final implementation support included identifying two Practice Development Champions (PDCs) in each intervention home, and supporting them with a training workshop, practice development support group, monthly coaching calls, handbooks and web-based resources. In work package 2, we undertook a cluster randomised controlled trial to pilot test the complex intervention for acceptability and a preliminary estimate of effect.

Setting

Fourteen nursing homes allocated to intervention and implementation support (n = 7) or treatment as usual (n = 7).

Participants

We recruited sufficient numbers of nursing homes (n = 14), staff (n = 148), family carers (n = 95) and residents (n = 245). Two nursing homes withdrew prior to the intervention starting.

Intervention

This ran from February to July 2018.

Data sources

Individual-level data on nursing home residents, their family carers and staff; system-level data using nursing home records; and process-level data comprising how the intervention was implemented. Data were collected on recruitment rates, consent and the numbers of family carers who wished to be involved in the residents’ care. Completeness of outcome measures and data collection and the return rate of questionnaires were assessed.

Results

The pilot trial showed no effects on hospitalisations or secondary outcomes. No home implemented the intervention tools as expected. Most staff endorsed the importance of early detection, assessment and treatment. Many reported that they ‘were already doing it’, using an early-warning tool; a detailed nursing assessment; or the situation, background, assessment, recommendation communication protocol. Three homes never used the S&W and four never used care pathways. Only 16 S&W forms and eight care pathways were completed. Care records revealed little use of the intervention principles. PDCs from five of six intervention homes attended the training workshop, following which they had variable engagement with implementation support. Progression criteria regarding recruitment and data collection were met: 70% of homes were retained, the proportion of missing data was < 20% and 80% of individual-level data were collected. Necessary rates of data collection, documentation completion and return over the 6-month study period were achieved. However, intervention tools were not fully adopted, suggesting they would not be sustainable outside the trial. Few hospitalisations for the four conditions suggest it an unsuitable primary outcome measure. Key cost components were estimated.

Limitations

The study homes may already have had effective approaches to early detection, assessment and treatment for acute health changes; consistent with government policy emphasising the need for enhanced health care in homes. Alternatively, the implementation support may not have been sufficiently potent.

Conclusion

A definitive trial is feasible, but the intervention is unlikely to be effective. Participant recruitment, retention, data collection and engagement with family carers can guide subsequent studies, including service evaluation and quality improvement methodologies.

Future work

Intervention research should be conducted in homes which need to enhance early detection, assessment and treatment. Interventions to reduce avoidable hospital admissions may be beneficial in residential care homes, as they are not required to employ nurses.

Trial registration

Current Controlled Trials ISRCTN74109734 and ISRCTN86811077.

Funding

This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 9, No. 2. See the NIHR Journals Library website for further project information.

Financial and Work-flow Benefits of Reducing Avoidable Hospitalizations of Nursing Home Residents

OBJECTIVES

1) Explain the financial benefit of potential revenue recapture (PRR) for non-billable days due to hospitalizations of nursing home (NH) residents using a six-year longitudinal analysis of 11 of 16 NHs participating in the Missouri Quality Initiative (MOQI); and 2) Discuss the work-flow benefits of early detection of changes in health status using qualitative data from all MOQI homes.

DESIGN

A CMS funded demonstration project with full-time advanced practice registered nurses (APRN) and operations support team focused on reducing avoidable hospitalizations for long stay NH residents (2012-2020).

SETTING AND PARTICIPANTS

Setting was a sample of 11 of 16 US NHs participating in the CMS project. The NHs ranged in size between 121 and 321 beds located in urban and rural areas in one midwestern geographic region.

METHODS

Financial and occupancy data were analyzed using descriptive methods. Data are readily available from most NH financial systems and include information about short and long stay residents to calculate non-billable days due to hospitalizations. Average hospital transfer rates per 1000 resident days were used. Qualitative data collected in MOQI informed the work-flow benefits analysis.

RESULTS

There was over $2.6 million in actual revenue recapture due to hospitalization of long stay residents in the 11 participating NHs during five years, 2015-2019, with 2014 as baseline; savings to payers was more than $31 million during those same years. The PRR for both short and long stay residents combined totaled $32.5 million for six years (2014-2019); for each NH this ranged from $590,000 to over $5 million. On average, an additional $500,000 of revenue each year per 200 beds could have been recaptured by further reducing hospitalizations. Workflow improved for nurses and nursing assistants using INTERACT and focusing on early detection of health changes.

CONCLUSIONS

Reducing avoidable hospitalizations reduces costs to payers and increases revenue by substantially recapturing revenue lost each day of hospitalization.

IMPLICATIONS

Focusing nursing staff on early illness recognition and management of condition changes within NHs has benefits for residents as the stress of hospital transfer and resulting functional decline is avoided. Nurses and nursing assistants benefit from workflow improvements by focusing on early illness detection, managing most condition changes within NHs. NHs benefit financially from increased revenue by reducing empty bed days.

Longitudinal Impact of APRNs on Nursing Home Quality Measures in the Missouri Quality Initiative

OBJECTIVES

To measure the impact of advanced practice nurses (APRNs) on quality measures (QM) scores of nursing homes (NHs) in the CMS funded Missouri Quality Initiative (MOQI) that was designed to reduce avoidable hospitalizations of NH residents, improve quality of care, and reduce overall healthcare spending.

DESIGN

A four group comparative analysis of longitudinal data from September 2013 thru December 2019.

SETTING

NHs in the interventions of both Phases 1 (2012-2016) and 2 (2016-2020) of MOQI (n=16) in the St. Louis area; matched comparations in the same counties as MOQI NHs (n=27); selected Phase 2 payment intervention NHs in Missouri (n=24); NHs in the remainder of the state (n=406).

PARTICIPANTS

NHs in Missouri Intervention: Phase 1 of The Missouri Quality Initiative (MOQI), a Centers for Medicare and Medicaid (CMS) Innovations Center funded research initiative, was a multifaceted intervention in NHs in the Midwest, which embedded full-time APRNs in participating NHs to reduce hospitalizations and improve care of NH residents. Phase 2 extended the MOQI intervention in the original intervention NHs and added a CMS designed Payment Intervention; Phase 2 added a second group of NHs to receive the Payment. Intervention Only.

MEASUREMENTS

Eight QMs selected by CMS for the Initiative were falls, pressure ulcers, urinary tract infections, indwelling catheters, restraint use, activities of daily living, weight loss, and antipsychotic medication use. For each of the monthly QMs (2013 thru 2019) an unobserved components model (UCM) was fitted for comparison of groups.

RESULTS

The analysis of QMs reveals that that the MOQI Intervention + Payment group (group with the embedded APRNs) out-performed all comparison groups: matched comparison with neither intervention, Payment Intervention only, and remainder of the state.

CONCLUSION

These results confirm the QM analyses of Phase 1, that MOQI NHs with full-time APRNs are effective to improve quality of care.

Results of the Missouri Quality Initiative in Sustaining Changes in Nursing Home Care: Six-Year Trends of Reducing Hospitalizations of Nursing Home Residents

OBJECTIVES

The purpose of this article is to present six-year findings of the Missouri Quality Initiative (MOQI) to reduce unnecessary hospitalizations for long-stay nursing home residents.

DESIGN

A CMS funded demonstration project analyzed over 6-years using a single group design.

SETTING AND PARTICIPANTS

The setting was 16 Midwestern US nursing homes ranging in size between 121 and 321 beds located in urban and rural areas in one geographic region. The sample of eligible residents averaged from 1819 in 2014 to 1068 in 2019.

MEASURES

Resident data were analyzed using descriptive methods of aggregate facilities' hospital transfer rates per 1000 resident days and changes per year of average hospital transfer rates. Individual facility transfer rates were grouped by level of performance (best, mixed, and low). Leadership turnover and engagement were also described.

INTERVENTION

Full-time advanced practice registered nurses (APRN) and an operations support team focused on reducing unnecessary hospitalizations for long-stay nursing home residents.

RESULTS

Total transfers for 2014-2019 was 6913 and the average transfer rate per 1000 resident days declined from 2.48 in 2014 to a low of 1.89 in 2018 and slightly increased to 1.99 in 2019. Eleven nursing homes achieved sustained improvement, five did not. Differences in leadership turnover and engagement were noted by level of performance; however, three outlier facilities were identified.

CONCLUSIONS/IMPLICATIONS

The MOQI intervention achieved improved outcomes over six-years in the majority of nursing homes in the project. The embedded APRN's daily focus on project goals supported by a multi-disciplinary operations team facilitated success. Facility leadership stability and engagement in the project likely contributed to outcomes. Full-time presence of APRNs coupled with an operations' support team improved nursing homes outcomes, however Medicare currently restricts APRNs hired by nursing homes from billing Medicare for direct care services. This unnecessary restriction of practice discourages nursing homes from hiring APRNs and should be abolished.

Reducing preventable patient transfers from long-term care facilities to emergency departments: a scoping review

BACKGROUND

In Canada, there were over 60,000 long-term care facility patient transfers to emergency departments (EDs) in 2014, with up to a quarter of them being potentially preventable. Each preventable transfer exposes the patient to transport- and hospital-related complications, contributes to ED crowding, and adds significant costs to the health care system. There have been many proposed and studied interventions aimed at alleviating the issue, but few attempts to assess and evaluate different interventions across institutions.

METHODS

A systematic search of MEDLINE, CINAHL, and EMBASE for studies describing the impact of interventions aimed at reducing preventable transfers from long-term care facilities to EDs on ED transfer rate. Two independent reviewers screened the studies for inclusion and completed a quality assessment. A tabular and narrative synthesis was then completed. This study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) guidelines.

RESULTS

A total of 26 studies were included (Cohen's k = 0.68). One was of low quality (Cohen's k = 0.58). Studies were summarized into five themes based on intervention type: Telemedicine, Outreach Teams, Interdisciplinary Care, Integrated Approaches, and Other. Effective interventions reported reductions in ED transfer rates post intervention ranging from 10 to 70%. Interdisciplinary health care teams staffed within long-term care facilities were the most effective interventions.

CONCLUSION

There are several promising interventions that have successfully reduced the number of preventable transfers from long-term care facilities to EDs in a variety of health care settings. Widespread implementation of these interventions has the potential to reduce ED crowding in Canada.

The Advanced Practice Nurse Will See You Now: Impact of a Transitional Care Clinic on Hospital Readmissions in Stroke Survivors

BACKGROUND

There is a paucity of evidence-based, posthospital stroke care in the United States proven to reduce preventable hospital readmissions.

LOCAL PROBLEM

Follow-up with a provider after hospitalization for stroke or transient ischemic attack had low compliance rates. This may contribute to preventable readmissions.

METHODS

A retrospective, descriptive chart review to determine whether an advanced practice registered nurse (APRN)-led transitional care clinic for stroke survivors impacted 30- and 90-day hospital readmissions. Readmissions between clinic patients and nonclinic patients were compared.

INTERVENTIONS

The site implemented an APRN-led transitional care stroke clinic to improve patient transitions from hospital to home.

RESULTS

The 30-day readmission proportion was significantly higher in nonclinic patients (n = 335) than in clinic patients (n = 68) (13.4% vs 1.5%, respectively; P = .003). The 90-day readmission proportion was numerically higher in nonclinic patients (12.8% vs 4.4%, respectively; P = .058).

CONCLUSIONS

The results suggest the APRN-led clinic may impact 30-day hospital readmissions in stroke/transient ischemic attack survivors.

Patient Transfer Decision Difficulty Scale: Development and psychometric testing of emergency department visits by long-term care residents

Background and objectives

Nurses serve as gatekeepers of the health of long-term care facility (LTCF) residents and are key members deciding whether residents should visit an emergency department (ED). Inappropriate decisions as to ED visits may result in ED overcrowding, excessive medical expenses, and nosocomial infections. Currently, there is a lack of effective tools for assessing the barriers and level of difficulty experienced by LTCF nurses. The purposes of this study were to develop a Patient Transfer Decision Difficulty Scale (PTDDS) and test its effectiveness.

Methods

This study randomly sampled LTCFs in Taiwan and surveyed two or three nurses in every institution selected. Registered return envelopes were provided for participants to return self-completed questionnaires. Three steps were used to develop the scale and items: in step I, the instrument was developed; in step II, psychometric testing was conducted, which entailed performing an exploratory factor analysis (EFA) to verify the construct validity and reliability of the developed items; and in step III, a confirmation study was conducted using a confirmatory factor analysis (CFA) and structural equation modeling to cross-validate the factors and items.

Results

The cumulative sum of variance explained by the measurement models of the three factors in the PTDDS was 63.54%.When deciding whether to transfer LTCF residents to EDs, the most pronounced barrier experienced by nurses were for judging the severity of “clinical episodes”, which had an explanatory power of 37.49%. The second and third pronounced barriers and decision difficulty experienced by nurses were “communication and information” and “timing of the residents’ emergency visits,” which explained 16.81% and 9.24% of the variance, respectively.

Conclusions

The cross-validation results obtained using the EFA and CFA showed favorable reliability and validity of the PTDDS. For future studies, this study recommends performing large-scale investigations of the level of decision difficulty and related factors experienced by nurses in LTCFs of varying levels and types.