Evaluation of AHRQ's on-time pressure ulcer prevention program: a facilitator-assisted clinical decision support intervention for nursing homes

How does the training given to intensive care nurses affect their attitudes toward preventing pressure ulcers?

OBJECTIVE

The study aimed to determine the effect of training in the prevention/treatment of pressure ulcers on nurses' attitudes.

MATERIAL METHOD

The study was conducted experimentally in a pretest-posttest design. Training was given to nurses participating in the study with content prepared by "Wound and Ostomy Incontinence Nurses Association" guide. The study was conducted between August and October with nurses working in Level 3 intensive care units. The study was completed with 79 nurses. Before the training was given, the "Nurse Introduction Form" and " Attitude Towards Pressure Ulcer Prevention Instrument (ATPUPI)" form were applied to those. All nurses were re-administered the ATPUPI scale three months after the training to evaluate their attitudes. Frequency analysis, descriptive statistics, one-way ANOVA, and independent sample tests were used in statistical analyses.

RESULTS

The mean age of the nurses was 29.62 ± 5.74 years, the mean length of service was 71.77 ± 77.19 months, 94.9 % were graduates, and 82.3 % worked in shifts. The mean scores before the training were 44.53 ± 4.13 and 45.12 ± 2.53 after the training. It was determined that there was a significant difference between the nurses who did not receive training on pressure ulcers other than undergraduate education and those who obtained training in terms of the mean score of ATPUPI. Still, after the training, the mean scores reached a similar level, and this difference disappeared. The increase in the mean scores of those who did not receive any education other than undergraduate education was found to be statistically significant.

CONCLUSION

As a result of our study, intensive care nurses' attitudes toward preventing pressure ulcers were found to be at a high level. It was found that the training given to nurses who had not received training on pressure ulcers other than undergraduate education had a significant positive effect on their attitudes. According to this result, it is recommended that in-service training should be given from the moment they start intensive care and repeated at regular intervals to ensure continuity in knowledge, attitude, and care behavior.

Pressure injury pain over time among nursing home residents. Geriatr Nurs 2024;59:362-371. [PMID: 39127012 DOI: 10.1016/j.gerinurse.2024.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

OBJECTIVE

Examine pressure injury (PrI) pain severity, stability, and current treatment of PrI pain among nursing home (NH) residents using two assessment tools and a descriptive cohort study design.

BACKGROUND

PrI pain affects quality of life of NH residents yet, best assessment methods, stability of PrI pain, and how to take care of the pain are not well known.

METHODS

Data collected from 33 residents with PrI (stages 1-4) from 4 NHs. All PrI were staged and assessed using the Bates-Jensen Wound Assessment Tool (BWAT) to determine severity. Verbal Response Scale (VRS) and Pain Assessment in Advanced Dementia (PAINAD) were used to assess general and PrI pain 3 times a day for two days within one week. Data classified as: no, mild, moderate, or severe pain. Proportions of participants with different levels of PrI pain were calculated. T tests were conducted to examine differences across time; VRS and PAINAD were examined for agreement.

RESULTS

Participants were 74 % female, 49 % white, 58 % cognitively intact, 58 % functionally dependent, and had mean age of 82 years old. The majority (52 %; n = 17) were full thickness PrI, stage 3 (n = 5), stage 4 (n = 7), unstageable (n = 5). The majority of participants (82 %; n = 27) reported PrI pain on at least one of six assessments over the two days; with 57 % mild, 26 % moderate and 16 % severe pain. More severe pain occurred in afternoon. No differences existed across days. Although there was a positive relationship between VRS and PAINAD in pain assessments (r = 0.38, P<.05), the agreement between the two scales, as indicated by Cohen's kappa (K = 0.19, p=.28), was found to be poor. Of those with PrI pain, 22 % had pain documented in the Minimum Data Set (MDS). Only 42 % of participants who reported PrI pain received pain medication within 12 h of initial pain assessment. Out of 28 participants who received routine pain medication for general pain, 18 of them reported experiencing no pain.

CONCLUSION

While VRS and PAINAD scores exhibited a relationship, their agreement was limited. Documentation of PrI pain on the Minimum Data Set (MDS) was found to be inadequate. Notably, 40 % of participants reported higher levels of PrI pain in the afternoon, suggesting this time may be opportune for PrI pain assessment and management. Interestingly, participants who received medication for general pain did not report PrI pain, suggesting that treatment of general pain may effectively alleviate PrI pain symptoms.

Estimating the value of repositioning timing to streamline pressure injury prevention efforts in nursing homes: A cost-effectiveness analysis of the 'TEAM-UP' clinical trial

Pressure injury (PrI) prevention guidelines recommend 2-h repositioning intervals in healthcare settings, requiring significant nursing time investment. We analysed the cost-effectiveness of PrI prevention protocols with 2-, 3- and 4-h repositioning intervals in US nursing homes according to 'Turn Everyone and Move for Ulcer Prevention' (TEAM-UP) randomized controlled trial findings. Markov modelling compared 2-, 3- and 4-h repositioning intervals, controlling for other practice guidelines, to prevent PrIs in nursing home residents from a US health sector perspective over one year using TEAM-UP trial data for model structure, sampling and parameterization. Costs, captured in 2020 US dollars, and quality-adjusted life years (QALYs) were used to derive an incremental cost-effectiveness ratio and net monetary benefit (NMB) at $50 000/QALY-$150 000/QALY cost-effectiveness thresholds. Sensitivity analyses tested model uncertainty. Repositioning intervals between 3 and 4 h were cost-effective based on reduced costs at slightly lower QALYs than 2 h at a $50 000/QALY threshold, and the NMB of 4-h repositioning was also more efficient than at 3 h ($9610). Repositioning labour cost and prevention routines were among the most sensitive parameters. Sensitivity analyses demonstrated that 3- and 4-h intervals were cost-effective in over 65% of simulations at any cost-effectiveness threshold. Repositioning intervals of 3 to 4 h have potential to reduce nursing time costs without significant decrements in clinical benefits to nursing home residents. Clinical guidelines for PrI prevention should be updated to reflect TEAM-UP clinical and economic findings. Facilities can use cost-savings recuperated from nursing time to deploy to other patient safety priorities without seriously jeopardizing PrI safety.

Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review

BACKGROUND

Hospital-acquired pressure injuries (HAPIs) constitute a significant challenge harming thousands of people worldwide yearly. While various tools and methods are used to identify pressure injuries, artificial intelligence (AI) and decision support systems (DSS) can help to reduce HAPIs risks by proactively identifying patients at risk and preventing them before harming patients.

OBJECTIVE

This paper comprehensively reviews AI and DSS applications for HAPIs prediction using Electronic Health Records (EHR), including a systematic literature review and bibliometric analysis.

METHODS

A systematic literature review was conducted through PRISMA and bibliometric analysis. In February 2023, the search was performed using four electronic databases: SCOPIS, PubMed, EBSCO, and PMCID. Articles on using AI and DSS in the management of PIs were included.

RESULTS

The search approach yielded 319 articles, 39 of which have been included and classified into 27 AI-related and 12 DSS-related categories. The years of publication varied from 2006 to 2023, with 40% of the studies taking place in the US. Most studies focused on using AI algorithms or DSS for HAPIs prediction in inpatient units using various types of data such as electronic health records, PI assessment scales, and expert knowledge-based and environmental data to identify the risk factors associated with HAPIs development.

CONCLUSIONS

There is insufficient evidence in the existing literature concerning the real impact of AI or DSS on making decisions for HAPIs treatment or prevention. Most studies reviewed are solely hypothetical and retrospective prediction models, with no actual application in healthcare settings. The accuracy rates, prediction results, and intervention procedures suggested based on the prediction, on the other hand, should inspire researchers to combine both approaches with larger-scale data to bring a new venue for HAPIs prevention and to investigate and adopt the suggested solutions to the existing gaps in AI and DSS prediction methods.

Decision Support Tools in Adult Long-term Care Facilities: Scoping Review

BACKGROUND

Digital innovations are yet to make real impacts in the care home sector despite the considerable potential of digital health approaches to help with continued staff shortages and to improve quality of care. To understand the current landscape of digital innovation in long-term care facilities such as nursing and care homes, it is important to find out which clinical decision support tools are currently used in long-term care facilities, what their purpose is, how they were developed, and what types of data they use.

OBJECTIVE

The aim of this review was to analyze studies that evaluated clinical decision support tools in long-term care facilities based on the purpose and intended users of the tools, the evidence base used to develop the tools, how the tools are used and their effectiveness, and the types of data the tools use to contribute to the existing scientific evidence to inform a roadmap for digital innovation, specifically for clinical decision support tools, in long-term care facilities.

METHODS

A review of the literature published between January 1, 2010, and July 21, 2021, was conducted, using key search terms in 3 scientific journal databases: PubMed, Cochrane Library, and the British Nursing Index. Only studies evaluating clinical decision support tools in long-term care facilities were included in the review.

RESULTS

In total, 17 papers were included in the final review. The clinical decision support tools described in these papers were evaluated for medication management, pressure ulcer prevention, dementia management, falls prevention, hospitalization, malnutrition prevention, urinary tract infection, and COVID-19 infection. In general, the included studies show that decision support tools can show improvements in delivery of care and in health outcomes.

CONCLUSIONS

Although the studies demonstrate the potential of positive impact of clinical decision support tools, there is variability in results, in part because of the diversity of types of decision support tools, users, and contexts as well as limited validation of the tools in use and in part because of the lack of clarity in defining the whole intervention.

Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes

OBJECTIVE

The study sought to summarize research literature on nursing decision support systems (DSSs ); understand which steps of the nursing care process (NCP) are supported by DSSs, and analyze effects of automated information processing on decision making, care delivery, and patient outcomes.

MATERIALS AND METHODS

We conducted a systematic review in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. PubMed, CINAHL, Cochrane, Embase, Scopus, and Web of Science were searched from January 2014 to April 2020 for studies focusing on DSSs used exclusively by nurses and their effects. Information about the stages of automation (information acquisition, information analysis, decision and action selection, and action implementation), NCP, and effects was assessed.

RESULTS

Of 1019 articles retrieved, 28 met the inclusion criteria, each studying a unique DSS. Most DSSs were concerned with two NCP steps: assessment (82%) and intervention (86%). In terms of automation, all included DSSs automated information analysis and decision selection. Five DSSs automated information acquisition and only one automated action implementation. Effects on decision making, care delivery, and patient outcome were mixed. DSSs improved compliance with recommendations and reduced decision time, but impacts were not always sustainable. There were improvements in evidence-based practice, but impact on patient outcomes was mixed.

CONCLUSIONS

Current nursing DSSs do not adequately support the NCP and have limited automation. There remain many opportunities to enhance automation, especially at the stage of information acquisition. Further research is needed to understand how automation within the NCP can improve nurses' decision making, care delivery, and patient outcomes.

Quality improvement studies in nursing homes: a scoping review

BACKGROUND

Quality improvement (QI) is used in nursing homes (NH) to implement and sustain improvements in patient outcomes. Little is known about how QI strategies are used in NHs. This lack of information is a barrier to replicating successful strategies. Guided by the Framework for Implementation Research, the purpose of this study was to map-out the use, evaluation, and reporting of QI strategies in NHs.

METHODS

This scoping review was completed to identify reports published between July 2003 through February 2019. Two reviewers screened articles and included those with (1) the term "quality improvement" to describe their methods, or reported use of a QI model (e.g., Six Sigma) or strategy (e.g., process mapping) (2), findings related to impact on service and/or resident outcomes, and (3) two or more NHs included. Reviewers extracted data on study design, setting, population, problem, solution to address problem, QI strategies, and outcomes (implementation, service, and resident). Vote counting and narrative synthesis were used to describe the use of QI strategies, implementation outcomes, and service and/or resident outcomes.

RESULTS

Of 2302 articles identified, the full text of 77 articles reporting on 59 studies were included. Studies focused on 23 clinical problems, most commonly pressure ulcers, falls, and pain. Studies used an average of 6 to 7 QI strategies. The rate that strategies were used varied substantially, e.g., the rate of in-person training (55%) was more than twice the rate of plan-do-study-act cycles (20%). On average, studies assessed two implementation outcomes; the rate these outcomes were used varied widely, with 37% reporting on staff perceptions (e.g., feasibility) of solutions or QI strategies vs. 8% reporting on fidelity and sustainment. Most studies (n = 49) reported service outcomes and over half (n = 34) reported resident outcomes. In studies with statistical tests of improvement, service outcomes improved more often than resident outcomes.

CONCLUSIONS

This study maps-out the scope of published, peer-reviewed studies of QI in NHs. The findings suggest preliminary guidance for future studies designed to promote the replication and synthesis of promising solutions. The findings also suggest strategies to refine procedures for more effective improvement work in NHs.

E-Health Decision Support Technologies in the Prevention and Management of Pressure Ulcers: A Systematic Review

Pressure ulcers are problematic across clinical settings, negatively impacting patient morbidity and mortality while resulting in substantial costs to the healthcare system. E-health clinical decision support technologies can play a key role in improving pressure ulcer-related outcomes. This systematic review aimed to assess the impact of electronic health decision support interventions on pressure ulcer management and prevention. A systematic search was conducted in PubMed, Scopus, Cumulative Index to Nursing and Allied Health Literature, and Cochrane. Nineteen articles, published from 2010 to 2020, were included for review. The findings of this review showed promising results regarding the usability and accuracy of electronic health decision support tools to aid in pressure ulcer prevention and management. Evidence indicated improved clinician adherence to pressure ulcer prevention practices and decreased healthcare costs postimplementation of an electronic health decision support intervention. However, the studies included in this review did not consistently show reductions in pressure ulcer prevalence, incidence, or risk. Most of the articles included in the review were limited by small sample sizes drawn from single hospitals or long-term care homes. More high-quality studies are needed to determine the types of electronic health decision support tools that can drive sustainable improvements to patient outcomes.

Computerized Decision Support Systems for Nursing Homes: A Scoping Review

OBJECTIVES

To summarize the research literature describing the outcomes of computerized decision support systems (CDSSs) implemented in nursing homes (NHs).

DESIGN

Scoping review.

METHODS

Search of relevant articles published in the English language between January 1, 2000, and February 29, 2020, in the Medline database. The quality of the selected studies was assessed according to PRISMA guidelines and the Mixed Method Appraisal Tool.

RESULTS

From 1828 articles retrieved, 24 studies were selected for review, among which only 6 were randomized controlled trials. Although clinical outcomes are seldom studied, some studies show that CDSSs have the potential to decrease pressure ulcer incidence and malnutrition prevalence. Improvement of process outcomes such as increased compliance with practice guidelines, better documentation of nursing assessment, improved teamwork and communication, and cost saving, also are reported.

CONCLUSIONS AND IMPLICATIONS

Overall, the use of CDSSs in NHs may be effective to improve patient clinical outcomes and health care delivery; however, most of the retrieved studies were observational studies, which significantly weakens the evidence. High-quality studies are needed to investigate CDSS effects and limitations in NHs.

Electronic Health Record Adoption and Rates of In-hospital Adverse Events

OBJECTIVE

Nationwide initiatives have focused on improving patient safety through greater use of health information technology. We examined the association of hospitals' electronic health record (EHR) adoption and occurrence rates of adverse events among exposed patients.

METHODS

We conducted a retrospective analysis of patient discharges using data from the 2012 and 2013 Medicare Patient Safety Monitoring System. The sample included patients age 18 and older that were hospitalized for one of 3 conditions: acute cardiovascular disease, pneumonia, or conditions requiring surgery. The main outcome measures were in-hospital adverse events, including hospital-acquired infections, adverse drug events (based on selected medications), general events, and postprocedural events. Adverse event rates and patient exposure to a fully electronic EHR were determined through chart abstraction.

RESULTS

Among the 45,235 patients who were at risk for 347,281 adverse events in the study sample, the occurrence rate of adverse events was 2.3%, and 13.0% of patients were exposed to a fully electronic EHR. In multivariate modeling adjusted for patient and hospital characteristics, patient exposure to a fully electronic EHR was associated with 17% to 30% lower odds of any adverse event for cardiovascular (odds ratio [OR], 0.80; 95% confidence interval [CI], 0.72-0.90), pneumonia (OR, 0.70; CI, 0.62-0.80), and surgery (OR, 0.83; CI, 0.72-0.96) patients. The associations of EHR adoption and adverse events varied by event type and by medical condition.

CONCLUSIONS

Cardiovascular, pneumonia, and surgery patients exposed to a fully electronic EHR were less likely to experience in-hospital adverse events.

Quality improvement in long-term care settings: a scoping review of effective strategies used in care homes

PURPOSE

We conducted a scoping review of quality improvement in care homes. We aimed to identify participating occupational groups and methods for evaluation. Secondly, we aimed to describe resident-level interventions and which outcomes were measured.

METHODS

Following extended PRISMA guideline for scoping reviews, we conducted systematic searches of Medline, CINAHL, Psychinfo, and ASSIA (2000-2019). Furthermore, we searched systematic reviews databases including Cochrane Library and JBI, and the grey literature database, Greylit. Four co-authors contributed to selection and data extraction.

RESULTS

Sixty five studies were included, 6 of which had multiple publications (75 articles overall). A range of quality improvement strategies were implemented, including audit feedback and quality improvement collaboratives. Methods consisted of controlled trials, quantitative time series and qualitative interview and observational studies. Process evaluations, involving staff of various occupational groups, described experiences and implementation measures. Many studies measured resident-level outputs and health outcomes. 14 studies reported improvements to a clinical measure; however, four of these articles were of low quality. Larger randomised controlled studies did not show statistically significant benefits to resident health outcomes.

CONCLUSION

In care homes, quality improvement has been applied with several different strategies, being evaluated by a variety of measures. In terms of measuring benefits to residents, process outputs and health outcomes have been reported. There was no pattern of which quality improvement strategy was used for which clinical problem. Further development of reporting of quality improvement projects and outcomes could facilitate implementation.

Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review

BACKGROUND

The clinical decision-making process in pressure ulcer management is complex, and its quality depends on both the nurse's experience and the availability of scientific knowledge. This process should follow evidence-based practices incorporating health information technologies to assist health care professionals, such as the use of clinical decision support systems. These systems, in addition to increasing the quality of care provided, can reduce errors and costs in health care. However, the widespread use of clinical decision support systems still has limited evidence, indicating the need to identify and evaluate its effects on nursing clinical practice.

OBJECTIVE

The goal of the review was to identify the effects of nurses using clinical decision support systems on clinical decision making for pressure ulcer management.

METHODS

The systematic review was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. The search was conducted in April 2019 on 5 electronic databases: MEDLINE, SCOPUS, Web of Science, Cochrane, and CINAHL, without publication date or study design restrictions. Articles that addressed the use of computerized clinical decision support systems in pressure ulcer care applied in clinical practice were included. The reference lists of eligible articles were searched manually. The Mixed Methods Appraisal Tool was used to assess the methodological quality of the studies.

RESULTS

The search strategy resulted in 998 articles, 16 of which were included. The year of publication ranged from 1995 to 2017, with 45% of studies conducted in the United States. Most addressed the use of clinical decision support systems by nurses in pressure ulcers prevention in inpatient units. All studies described knowledge-based systems that assessed the effects on clinical decision making, clinical effects secondary to clinical decision support system use, or factors that influenced the use or intention to use clinical decision support systems by health professionals and the success of their implementation in nursing practice.

CONCLUSIONS

The evidence in the available literature about the effects of clinical decision support systems (used by nurses) on decision making for pressure ulcer prevention and treatment is still insufficient. No significant effects were found on nurses' knowledge following the integration of clinical decision support systems into the workflow, with assessments made for a brief period of up to 6 months. Clinical effects, such as outcomes in the incidence and prevalence of pressure ulcers, remain limited in the studies, and most found clinically but nonstatistically significant results in decreasing pressure ulcers. It is necessary to carry out studies that prioritize better adoption and interaction of nurses with clinical decision support systems, as well as studies with a representative sample of health care professionals, randomized study designs, and application of assessment instruments appropriate to the professional and institutional profile. In addition, long-term follow-up is necessary to assess the effects of clinical decision support systems that can demonstrate a more real, measurable, and significant effect on clinical decision making.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42019127663; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=127663.

Mitigating the Effects of a Pandemic: Facilitating Improved Nursing Home Care Delivery Through Technology

The coronavirus disease (COVID-19) pandemic has been particularly challenging for nursing home staff and residents. Centers for Medicare & Medicaid Services regulation waivers are burdening staff and affecting how care is delivered. Residents are experiencing social isolation, which can result in physical and behavioral health issues, particularly for persons with dementia. These challenges can be addressed in part through technology adaptations. Full integration of electronic health record systems can improve workflow and care quality. Telehealth can improve access to outside providers, provide remote monitoring, and improve social connectedness. Electronic and audiovisual programs can be used for end-of-life planning and information sharing between nursing home staff and families. Online learning systems and other online resources provide flexible options for staff education and training. Investing in and adapting technology can help mitigate workforce stress and improve the quality of nursing home care during and after the COVID-19 crisis.

Organizational Characteristics and the Adoption of Electronic Health Records Among Nursing Homes in One Southern State

Electronic health records (EHRs) can improve quality of care and patient safety, as demonstrated in a variety of health care settings. However, greater use of EHRs in nursing homes (NHs) is needed. To understand which NHs have and have not adopted EHR systems, all federally certified NHs in Arkansas (n = 223) were surveyed, with 27.9% responding. Non-responders were similar to responders on all characteristics except for staffing skill mix, with responders having a higher skill mix than non-responders. Two thirds of responding Arkansas NHs reported having an EHR system in use (69.8%), while only a few reported no plans for an EHR system (4.8%). NHs with greater resources and in competitive markets were more likely to implement EHR systems. Full implementation across all NHs may require intervention, which should be explored in future research. In addition, future investigation should consider the level of interoperability of EHR systems that are in place among NHs.

Advancing health information technology roadmaps in long term care

BACKGROUND

Our purpose is to provide evidence that health information technology should be a mainstay of all future health and social support services for older people globally, both within and across community and residential care services.

METHODS

This work was conducted in two phases. In phase I, the authors conducted a focused exploration by selecting a convenience sample of four long term care health information technology roadmaps, developed by members of four different long term care health information technology collaboratives in United States, Australia, United Kingdom, and New Zealand. During Phase II the research team carried out an extensive systematic review of existing literature sources (2000-2018) to support roadmap assumptions.

RESULTS

Using converging domains and content, we offer recommendations among five aged care roadmap domains: Strategy/Vision, Continuing Care Community, Services and Support Provided, External Clinical Support, and Administrative. Within these domains we provide recommendations in five content areas: Innovation, Policy, Evaluation, Delivery Systems and Human Resources. We recommend future strategies for LTC HIT roadmaps that include 61 emphasis areas in aged care in these content areas and domains.

CONCLUSIONS

The roadmap provides a navigation tool for LTC leaders to take a strategic and comprehensive approach as they harness the potential of health information technologies to address the challenges and opportunities of LTC in the future.

Evaluating the Effects of a Pressure Injury Prevention Algorithm

OBJECTIVE

To evaluate the effect of a pressure injury prevention algorithm on pressure injury prevention.

DESIGN, SETTING, AND PARTICIPANTS

This intervention study was conducted in the anesthesiology and reanimation ICU (ARICU) of a university hospital. The study included two sample groups (nurses and patients). All patients older than 18 years (prealgorithm, n = 80; postalgorithm, n = 74) in the ARICU who verbally consented were included in the study. All 15 nurses who worked in the ARICU during the postalgorithm period agreed to participate in the study.

INTERVENTIONS

The study was performed in four phases. In the first phase, pressure injury incidence was evaluated in the ARICU (prealgorithm period; April 1 to September 30, 2016). At the same time, a pressure injury prevention algorithm was developed. In the second phase, ARICU nurses were provided education on how to prevent pressure injury and use the pressure injury prevention algorithm. In the third phase, the nurses provided care based on the pressure injury prevention algorithm (postalgorithm period; November 1, 2016, to April 30, 2017). In the fourth phase, the incidence of pressure injury in the pre- and postalgorithm periods was compared, and the effectiveness of the algorithm was evaluated.

MAIN RESULTS

The pressure injury incidence was 46.10 per 1,000 patient-days in the prealgorithm period and 9.21 per 1,000 patient-days in the postalgorithm period. The decline was statistically significant (z = 9.590, P < .001).

CONCLUSIONS

Nursing education and the evidence-based pressure injury prevention algorithm reduced pressure injury rates. Further study of this algorithm in other ICUs and among various care populations is recommended to fully establish its efficacy.

Relationship between nursing home quality indicators and potentially preventable hospitalisation

Background

Hospitalisations are very common among nursing home residents and many of these are deemed inappropriate or preventable. Little is known about whether clinical care quality is related to hospitalisation, especially potentially preventable hospitalisations (PPHs). Among the few studies that have been conducted, the findings have been inconsistent. The objective of this study was to examine the relationship between quality indicators and overall and PPHs among Medicaid beneficiaries aged 65 years and older receiving care at nursing homes in Minnesota.

Methods

23 risk-adjusted quality indicators were used to assess nursing home quality of care. Quality indicators and other facility-level variables from the Minnesota Nursing Home Report Card were merged with resident-level variables from the Minimum Data Set. These merged data were linked with Medicaid claims to obtain hospitalisation rates during the 2011–2012 period. The sample consisted of a cohort of 20 518 Medicaid beneficiaries aged 65 years and older who resided in 345 Minnesota nursing homes. The analyses controlled for resident and facility characteristics using the generalised linear mixed model.

Results

The results showed that about 44 % of hospitalisations were PPHs. Available quality indicators were not strongly or consistently associated with the risk of hospitalisation (neither overall nor PPH). Among these 23 quality indicators, five quality indicators (antipsychotics without a diagnosis of psychosis, unexplained weight loss, pressures sores, bladder continence and activities of daily living [ADL] dependence) were related significantly to hospitalisation and only four quality indicators (antipsychotics without a diagnosis of psychosis, unexplained weight loss, ADL dependence and urinary tract infections) were related to PPH.

Conclusion

Although general quality indicators can be informative about overall nursing home performance, only selected quality indicators appear to tap dimensions of clinical quality directly related to hospitalisations.

Preventive interventions for pressure ulcers in long-term older people care facilities: A systematic review

AIMS AND OBJECTIVES

To explore the effectiveness of interventions aimed at pressure ulcer (PU) prevention in long-term older people care facilities (LOPC).

BACKGROUND

Pressure ulcers cause suffering for patients and constitute a major financial burden. Although most PUs could be prevented, their number has remained high. To avoid unnecessary suffering and costs, PU prevention must be effective.

DESIGN

A systematic review.

METHODS

A systematic search was conducted in six electronic databases PubMed (MEDLINE), CINAHL, Web of Science Core Collection, Scopus, Cochrane Wounds Group Specialized Register and Cochrane Central Register of Controlled Trials. The inclusion criteria were: (a) study published in 2005-2017, (b) intervention with pre- and post-tests, focusing on PU prevention, (c) implemented in LOPC facilities, (d) persons >65 years as study population, and (e) outcomes reported as PU incidence or prevalence or healing time. The PRISMA guidelines were followed. The methodological quality of the studies was evaluated using the Joanna Briggs Institute's MAStARI critical appraisal checklist. The data were analysed with narrative synthesis.

RESULTS

The review included eighteen studies. The study designs were RCTs (n = 10), comparable cohort or case-control studies (n = 3), and descriptive or case series (n = 5). PU incidence in LOPC facilities decreased by using computerised decision-making support systems, PU prevention programmes, repositioning or advanced cushions. PU prevalence decreased with PU prevention programmes, by using advanced mattresses and overlays, or by adding protein and energy supplements to diet.

CONCLUSIONS

There are many ways to prevent PUs in LOPC facilities; no single effective way can be identified. One-third of the preventive interventions in LOPC facilities were effective. However, systematic evidence from randomised trials on preventive interventions of PUs in LOPC settings is still lacking.

RELEVANCE TO CLINICAL PRACTICE

The findings can be used in practice for selecting and in research for developing effective preventive interventions of PUs in LOPC facilities.

Pressure Ulcers Among Newly Admitted Nursing Home Residents: Measuring the Impact of Transferring From Hospital

OBJECTIVES

Pressure ulcers (PUs) are reported more often among newly admitted nursing home (NH) residents who transfer from hospital versus community. We examine for whom this increased risk is greatest, further defining hospitalized patients most in need of better PU preventive care.

RESEARCH DESIGN

Retrospective observational cohort study.

SUBJECTS

All NH residents (N=5617) newly admitted between April 1, 2008 and March 31, 2012 in Winnipeg, MB, Canada.

MEASURES

RAI-MDS 2.0 data were linked to administrative health care use files capturing each person's NH admission date, their presence of a PU at this time, whether they transferred into NH from hospital or community, and their PU susceptibility (eg, amount of help needed to maneuver in bed or to transfer from one surface to another, frequency of incontinence, presence of diabetes, amount of food consistently left uneaten). Log-binomial regression with interaction terms was used to analyze data.

RESULTS

67.6% of our cohort transferred into a NH directly from hospital; 9.2% of these residents were reported to have a stage 1+ PU on NH admission versus 2.6% of those who transferred from community. From regression models, transferring from hospital versus community was associated with increased PU risk equally across various subgroups of less and more susceptible residents.

CONCLUSIONS

Transferring from hospital versus community places both more and less susceptible newly admitted NH residents at increased PU risk. Using evidence-based preventive care practices is thus needed for all subgroups of hospital patients before NH use, to help reduce PU risk.

Indicators of health and safety among institutionalized older adults

OBJECTIVE

To identify the incidence of mortality, diarrheal diseases, scabies and falls; and the prevalence of pressure ulcers - all of which are related to the safety ofinstitutionalized older adults.

METHOD

This was a documentary retrospective study developed in a long-term residential careinstitution for older adults in the Northeast region of Brazil. The data were gathered from records of health assessment indicators filed between January 2008 and December 2015. Analysis included absolute case frequency; the sum of monthly prevalence and incidence rates; mean values of cases; and mean annual incidence and prevalence rates.

RESULTS

The incidence of mortality over these nine years ranged from 9% to 13%; of acute diarrheic disease from 13% to 45%; and scabies from 21% to 63%. The prevalence of pressure ulcers ranged from 8% to 23%. Between 2012 and 2015, the incidence rate of falls without injury varied from 38% to 83%, and with injury from12% to 20%.

CONCLUSION

Analysis of the health indicators revealeda high incidence of scabies and falls and a high prevalence of pressure ulcers. The identification of less than optimal rates for performance indicators canhelp improve the quality of nursing care.

OBJETIVO

Identificar a incidência de mortalidade, doenças diarreicas, escabiose e quedas, e a prevalência de lesões por pressão para a segurança do idoso institucionalizado.

MÉTODO

Estudo documental, retrospectivo desenvolvido em uma Instituição de Longa Permanência para Idosos, localizada no nordeste do Brasil. Os dados foram coletados por meio dos registros dos indicadores de avaliação de saúde, arquivados de janeiro de 2008 a dezembro de 2015. A análise incluiu a frequência absoluta dos casos; o somatório das taxas de prevalência e incidência mensais; a média de casos e das taxas de incidência e prevalência anuais.

RESULTADOS

Observa-se que a incidência de óbitos nos nove anos considerados variou de 9 a 13%; de doenças diarreicas agudas, de 13 a 45%; e de escabiose, de 21 a 63%. A prevalência de lesão por pressão oscilou de 8 a 23%. Entre os anos de 2012 a 2015, a taxa de incidência de quedas sem lesão variou em torno de 38 a 83%, e com lesão, de 12 a 20%.

CONCLUSÃO

A análise da amplitude dos indicadores de saúde permitiu identificar a alta incidência de escabiose e de quedas e a elevada prevalência de lesões por pressão. A identificação do comprometimento dos indicadores contribui para otimização da qualidade da assistência de enfermagem.

Quantifying Geographic Variation in Health Care Outcomes in the United States before and after Risk-Adjustment

BACKGROUND

Despite numerous studies of geographic variation in healthcare cost and utilization at the local, regional, and state levels across the U.S., a comprehensive characterization of geographic variation in outcomes has not been published. Our objective was to quantify variation in US health outcomes in an all-payer population before and after risk-adjustment.

METHODS AND FINDINGS

We used information from 16 independent data sources, including 22 million all-payer inpatient admissions from the Healthcare Cost and Utilization Project (which covers regions where 50% of the U.S. population lives) to analyze 24 inpatient mortality, inpatient safety, and prevention outcomes. We compared outcome variation at state, hospital referral region, hospital service area, county, and hospital levels. Risk-adjusted outcomes were calculated after adjusting for population factors, co-morbidities, and health system factors. Even after risk-adjustment, there exists large geographical variation in outcomes. The variation in healthcare outcomes exceeds the well publicized variation in US healthcare costs. On average, we observed a 2.1-fold difference in risk-adjusted mortality outcomes between top- and bottom-decile hospitals. For example, we observed a 2.3-fold difference for risk-adjusted acute myocardial infarction inpatient mortality. On average a 10.2-fold difference in risk-adjusted patient safety outcomes exists between top and bottom-decile hospitals, including an 18.3-fold difference for risk-adjusted Central Venous Catheter Bloodstream Infection rates. A 3.0-fold difference in prevention outcomes exists between top- and bottom-decile counties on average; including a 2.2-fold difference for risk-adjusted congestive heart failure admission rates. The population, co-morbidity, and health system factors accounted for a range of R2 between 18-64% of variability in mortality outcomes, 3-39% of variability in patient safety outcomes, and 22-70% of variability in prevention outcomes.

CONCLUSION

The amount of variability in health outcomes in the U.S. is large even after accounting for differences in population, co-morbidities, and health system factors. These findings suggest that: 1) additional examination of regional and local variation in risk-adjusted outcomes should be a priority; 2) assumptions of uniform hospital quality that underpin rationale for policy choices (such as narrow insurance networks or antitrust enforcement) should be challenged; and 3) there exists substantial opportunity for outcomes improvement in the US healthcare system.

An Evidence-Based Cue-Selection Guide and Logic Model to Improve Pressure Ulcer Prevention in Long-term Care

Pressure ulcers have consistently resisted prevention efforts in long-term care facilities nationwide. Recent research has described cueing innovations that-when selected according to the assumptions and resources of particular facilities-support best practices of pressure ulcer prevention. This article synthesizes that research into a unified, dynamic logic model to facilitate effective staff implementation of a pressure ulcer prevention program.

Contextual Facilitators of and Barriers to Nursing Home Pressure Ulcer Prevention

PURPOSE

To present findings of a study of institutional factors related to pressure ulcer (PrU) prevention in Veterans Health Administration nursing homes.

TARGET AUDIENCE

This continuing education activity is intended for physicians and nurses with an interest in skin and wound care.

OBJECTIVES

After participating in this educational activity, the participant should be better able to:1. Identify the study's design, process, and purpose.2. List the factors pertaining to sites with improving performance.

OBJECTIVES

Important gaps exist in the knowledge of how to achieve successful, sustained prevention of pressure ulcers (PrUs) in nursing homes. This study aimed to address those gaps by comparing nursing leadership and indirect care staff members' impressions about the context of PrU prevention in facilities with improving and declining PrU rates.

SETTING

The study was conducted in a sample of 6 Veterans Health Administration nursing homes (known as community living centers) purposively selected to represent a range of PrU care performance.

DESIGN AND PARTICIPANTS

One-time 30-minute semistructured interviews with 23 community living center staff were conducted. Qualitative interview data were analyzed using an analytic framework containing (a) a priori analytic constructs based on the study's conceptual framework and (b) sections for emerging constructs.

MAIN RESULTS

Analysis revealed 6 key concepts differentiating sites with improving and declining PrU care performance. These concepts were (1) structures through which the change effort is initiated; (2) organizational prioritization, alignment, and support; (3) improvement culture; (4) clarity of roles and responsibilities; (5) communication strategies; and (6) staffing and clinical practices. Results also pointed to potential contextual facilitators of and barriers to successful PrU prevention.

CONCLUSIONS

Leadership's visible prioritization of and support for PrU prevention and the initiation of PrU prevention activities through formal structures were the most striking components represented at sites with improving performance, but not at ones where performance declined. Sites with improving performance were more likely to align frontline staff and leadership goals for PrU prevention.

Traumatic Brain Injury Rehabilitation Comparative Effectiveness Research: Introduction to the Traumatic Brain Injury-Practice Based Evidence Archives Supplement

This supplement of the Archives of Physical Medicine and Rehabilitation is devoted to the Traumatic Brain Injury-Practice Based Evidence study, the first practice-based evidence study, to our knowledge, of traumatic brain injury rehabilitation. The purpose of this preface is to place this study in the broader context of comparative effectiveness research and introduce the articles in the supplement.

Associations Between Family Ratings on Experience With Care and Clinical Quality-of-Care Measures for Nursing Home Residents

Several states are currently collecting and publicly reporting nursing home resident and/or family member ratings of experience with care in an attempt to improve person-centered care in nursing homes. Using the 2008 Maryland nursing home family survey reports and other data, this study performed both facility- and resident-level analyses, and estimated the relationships between family ratings of care and several long-term care quality measures (pressure ulcers, overall and potentially avoidable hospitalizations, and mortality) after adjustment for resident characteristics. We found that better family evaluations of overall and specific aspects of care may be associated with reduced rates of risk-adjusted measures at the facility level (range of correlation coefficients: -.01 to -.31). Associations of overall experience ratings tended to persist after further adjustment for common nursing home characteristics such as nurse staffing levels. We conclude that family ratings of nursing home care complement other types of performance measures such as risk-adjusted outcomes.