Scalability of an IT Intervention to Prevent Pressure Ulcers in Nursing Homes.

BACKGROUND: Pressure ulcers pose an important quality-of-care challenge in nursing homes, with serious consequences for residents' health. We assessed the scalability of the On-Time Pressure Ulcer Prevention (On-Time) intervention strategy, developed by the Agency for Healthcare Research & Quality, in nursing homes nationwide. INTERVENTION: On-Time uses electronic health record reports to identify changes in resident pressure ulcer risk and facilitate multidisciplinary input into clinical decision making. OBJECTIVE: To assess the scalability and impact of On-Time on pressure ulcer incidence in nursing homes. DESIGN: We used quasi-experimental methods, employing a difference-in-differences design, to compare the pre-post trends in pressure ulcer incidence in the treatment and comparison homes. SETTING AND PARTICIPANTS: The study population included long-stay residents at high risk for developing pressure ulcers in 47 nursing homes and matched comparison homes in 17 states. MEASURES: Stage 2 to 4 pressure ulcer incidence among long-stay residents who met the criteria for high risk, identified using an algorithm adapted from the Minimum Data Set 3.0 Percent of High-Risk Residents with Pressure Ulcers (Long Stay) measure. RESULTS: The overall decline in pressure ulcer rates for treatment relative to matched comparison homes was statistically insignificant (P > .05). A subgroup of heterogeneous homes experienced a statistically significant decline of 3.24 percentage points (61.0% relative decrease) in pressure ulcer rates relative to matched comparison homes, but no uniting characteristic common across homes readily explained their success. CONCLUSIONS/IMPLICATIONS: Scalability of future health information technology-based quality improvement interventions in nursing home settings requires nuanced implementation support, particularly around electronic health record report accessibility and accuracy.

Quality Improvement Toolkits: Recommendations for Development.

A burgeoning number of toolkits dedicated to improving health care exist but development guidance is lacking. The authors convened a panel of health care stakeholders, including developers, purchasers, users, funders, and disseminators of toolkits. The panel was informed by a literature review that analyzed 44 publications and 27 toolkits. A modified Delphi process established recommendations and suggestions to guide toolkit development. The panel established 12 recommendations for content and 1 recommendation for toolkit development methods. The recommendations are accompanied by 11 suggestions for toolkit content, 9 suggestions for development methods, and 6 suggestions for toolkit evaluation methods. The authors established a set of key recommendations and suggestions addressing the content, development, and evaluation methods of quality improvement toolkits, together with a ready-to use checklist. The guidance aims to advance the value of toolkits as an emerging method to effectively disseminate interventions to improve the quality of care.

The Marginal Costs of Adverse Drug Events Associated With Exposures to Anticoagulants and Hypoglycemic Agents During Hospitalization.

BACKGROUND: Anticoagulants and hypoglycemic agents are 2 of the most challenging drug classes for medical management in the hospital resulting in many adverse drug events (ADEs). OBJECTIVE: Estimating the marginal cost (MC) of ADEs associated with anticoagulants and hypoglycemic agents for adults in 5 patient groups during their hospital stay and the total annual ADE costs for all patients exposed to these drugs during their stay. RESEARCH DESIGN AND SUBJECT: Data are from 2010 to 2013 Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases and Medicare Patient Safety Monitoring System (MPSMS). Deidentified patients were linked using probabilistic matching in the same hospital and year for 5 patient groups. ADE information was obtained from the MPSMS using retrospective structured record review. Costs were derived using HCUP cost-to-charge ratios. MC estimates were made using Extended Estimating Equations controlling for patient characteristics, comorbidities, hospital procedures, and hospital characteristics. MC estimates were applied to the 2013 HCUP National Inpatient Sample to estimate annual ADE costs. RESULTS: Adjusted MC estimates were smaller than unadjusted measures with most groups showing estimates that were at least 50% less. Adjusted anticoagulant ADE costs added >45% and Hypoglycemic ADE costs added >20% to inpatient costs. The 2013 hospital cost estimates for ADEs associated with anticoagulants and hypoglycemic agents were >$2.5 billion for each drug class. CONCLUSIONS: This study demonstrates the importance of accounting for confounders in the estimation of ADEs, and the importance of separate estimates of ADE costs by drug class.

Meaningful use of health information technology and declines in in-hospital adverse drug events.

OBJECTIVE: Nationwide initiatives have promoted greater adoption of health information technology as a means to reduce adverse drug events (ADEs). Hospital adoption of electronic health records with Meaningful Use (MU) capabilities expected to improve medication safety has grown rapidly. However, evidence that MU capabilities are associated with declines in in-hospital ADEs is lacking. METHODS: Data came from the 2010-2013 Medicare Patient Safety Monitoring System and the 2008-2013 Healthcare Information and Management Systems Society (HIMSS) Analytics Database. Two-level random intercept logistic regression was used to estimate the association of MU capabilities and occurrence of ADEs, adjusting for patient characteristics, hospital characteristics, and year of observation. RESULTS: Rates of in-hospital ADEs declined by 19% from 2010 to 2013. Adoption of MU capabilities was associated with 11% lower odds of an ADE (95% confidence interval [CI], 0.84-0.96). Interoperability capability was associated with 19% lower odds of an ADE (95% CI, 0.67- 0.98). Adoption of MU capabilities explained 22% of the observed reduction in ADEs, or 67,000 fewer ADEs averted by MU. DISCUSSION: Concurrent with the rapid uptake of MU and interoperability, occurrence of in-hospital ADEs declined significantly from 2010 to 2013. MU capabilities and interoperability were associated with lower occurrence of ADEs, but the effects did not vary by experience with MU. About one-fifth of the decline in ADEs from 2010 to 2013 was attributable to MU capabilities. CONCLUSION: Findings support the contention that adoption of MU capabilities and interoperability spurred by the Health Information Technology for Economic and Clinical Health Act contributed in part to the recent decline in ADEs.

Marginal Hospital Cost of Surgery-related Hospital-acquired Pressure Ulcers.

BACKGROUND: Patients who develop hospital-acquired pressure ulcers (HAPUs) are more likely to die, have longer hospital stays, and are at greater risk of infections. Patients undergoing surgery are prone to developing pressure ulcers (PUs). OBJECTIVE: To estimate the hospital marginal cost of a HAPU for adults patients who were hospitalized for major surgeries, adjusted for patient characteristics, comorbidities, procedures, and hospital characteristics. RESEARCH DESIGN AND SUBJECTS: Data are from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases and the Medicare Patient Safety Monitoring System for 2011 and 2012. PU information was obtained using retrospective structured record review from trained MPMS data abstractors. Costs are derived using HCUP hospital-specific cost-to-charge ratios. Marginal cost estimates were made using Extended Estimating Equations. We estimated the marginal cost at the 25th, 50th, and 75th percentiles of the cost distribution using Simultaneous Quantile Regression. RESULTS: We find that 3.5% of major surgical patients developed HAPUs and that the HAPUs added ∼$8200 to the cost of a surgical stay after adjusting for comorbidities, patient characteristics, procedures, and hospital characteristics. This is an ∼44% addition to the cost of a major surgical stay but less than half of the unadjusted cost difference. In addition, we find that for high-cost stays (75th percentile) HAPUs added ∼$12,100, whereas for low-cost stays (25th percentile) HAPUs added ∼$3900. CONCLUSIONS: This paper suggests that HAPUs add ∼44% to the cost of major surgical hospital stays, but the amount varies depending on the total cost of the visit.

Improving prediction of fall risk among nursing home residents using electronic medical records.

OBJECTIVE: Falls are physically and financially costly, but may be preventable with targeted intervention. The Minimum Data Set (MDS) is one potential source of information on fall risk factors among nursing home residents, but its limited breadth and relatively infrequent updates may limit its practical utility. Richer, more frequently updated data from electronic medical records (EMRs) may improve ability to identify individuals at highest risk for falls. METHODS: The authors applied a repeated events survival model to analyze MDS 3.0 and EMR data for 5129 residents in 13 nursing homes within a single large California chain that uses a centralized EMR system from a leading vendor. Estimated regression parameters were used to project resident fall probability. The authors examined the proportion of observed falls within each projected fall risk decile to assess improvements in predictive power from including EMR data. RESULTS: In a model incorporating fall risk factors from the MDS only, 28.6% of observed falls occurred among residents in the highest projected risk decile. In an alternative specification incorporating more frequently updated measures for the same risk factors from the EMR data, 32.3% of observed falls occurred among residents in the highest projected risk decile, a 13% increase over the base MDS-only specification. CONCLUSIONS: Incorporating EMR data improves ability to identify those at highest risk for falls relative to prediction using MDS data alone. These improvements stem chiefly from the greater frequency with which EMR data are updated, with minimal additional gains from availability of additional risk factor variables.

Inpatient admissions from the ED for adults with injuries: the role of clinical and nonclinical factors.

INTRODUCTION: Inpatient hospital costs represent nearly a third of heath care spending. The proportion of inpatients visits that originate in the emergency department (ED) has been growing, approaching half of all inpatient admissions. Injury is the most common reason for adult ED visits, representing nearly one-quarter of all ED visits. OBJECTIVE: The objective was to explore the association of clinical and nonclinical factors with the decision to admit ED patients with injury. RESEARCH DESIGN AND PARTICIPANTS: This is a retrospective cohort study of injury-related ED encounters by adults in select states in 2009. We limited the study to ED visits of persons with moderately severe injuries. We used logistic regression to calculate the marginal effects, estimating 4 equations to account for different risk patterns for older and younger adults, and types of injuries. Regression models controlled for comorbidities, injury characteristics, demographic characteristics, and state fixed effects. RESULTS: Injury location, type, and mechanism and comorbidities had large effects on hospitalization rates as expected. We found higher inpatient admission rates by level of trauma center designation and hospital size, but findings differed by age and type of injury. For younger adults, patients with private insurance and patients who traveled more than 30 miles were more likely to be admitted. CONCLUSIONS: There is great variation in inpatient admission decisions for moderately injured patients in the ED. Decisions appear to be dominated by clinical factors such as injury characteristics and comorbidities; however, nonclinical factors, such as type of insurance, hospital size, and trauma center designation, also play an important role.

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

BACKGROUND: Pressure ulcers present serious health and economic consequences for nursing home residents. The Agency for Healthcare Research & Quality, in partnership with the New York State Department of Health, implemented the pressure ulcer module of On-Time Quality Improvement for Long Term Care (On-Time), a clinical decision support intervention to reduce pressure ulcer incidence rates. OBJECTIVE: To evaluate the effectiveness of the On-Time program in reducing the rate of in-house-acquired pressure ulcers among nursing home residents. RESEARCH DESIGN AND SUBJECTS: We employed an interrupted time-series design to identify impacts of 4 core On-Time program components on resident pressure ulcer incidence in 12 New York State nursing homes implementing the intervention (n=3463 residents). The sample was purposively selected to include nursing homes with high baseline prevalence and incidence of pressure ulcers and high motivation to reduce pressure ulcers. Differential timing and sequencing of 4 core On-Time components across intervention nursing homes and units enabled estimation of separate impacts for each component. Inclusion of a nonequivalent comparison group of 13 nursing homes not implementing On-Time (n=2698 residents) accounts for potential mean-reversion bias. Impacts were estimated via a random-effects Poisson model including resident-level and facility-level covariates. RESULTS: We find a large and statistically significant reduction in pressure ulcer incidence associated with the joint implementation of 4 core On-Time components (incidence rate ratio=0.409; P=0.035). Impacts vary with implementation of specific component combinations. CONCLUSIONS: On-Time implementation is associated with sizable reductions in pressure ulcer incidence.

Potentially avoidable hospitalizations for elderly long-stay residents in nursing homes.

BACKGROUND: Hospitalizations of long-stay nursing home (NH) residents are common. The high estimates of potentially avoidable hospitalizations in NHs suggest that efforts to reduce avoidable hospitalizations may be effective in lowering health care expenditures as well as improving the quality of care for NH residents. OBJECTIVE: To determine the relationship between clinical risk factors, facility characteristics and State policy variables, and both avoidable and unavoidable hospitalizations. METHOD: Hospitalization risk is estimated using competing risks proportional hazards regressions. Three hospitalization measures were constructed: (1) ambulatory care-sensitive conditions (ACSCs); (2) additional NH-sensitive avoidable conditions (ANHACs); and (3) nursing home "unavoidable" conditions (NHUCs). In all models, we include clinical risk factors, facility characteristics, and State policy variables that may influence the decision to hospitalize. SUBJECTS: The population of interest is a cohort of long-stay NH residents. Data are from the Nursing Home Stay file, a sample of residents in 10% of certified NHs in the United States (2006-2008). RESULTS: Three fifths of hospitalizations were potentially avoidable and the majority was for infections, injuries, and congestive heart failure. Clinical risk factors include renal disease, diabetes, and a high number of medications among others. Staffing, quality, and reimbursement affect avoidable, but not unavoidable hospitalizations. CONCLUSIONS: A NH-sensitive measure of avoidable hospitalizations identifies both clinical facility and policy risk factors, emphasizing the potential for both reimbursement and clinical strategies to reduce hospitalizations from NHs.

Hospital fall prevention: a systematic review of implementation, components, adherence, and effectiveness.

OBJECTIVES: To systematically document the implementation, components, comparators, adherence, and effectiveness of published fall prevention approaches in U.S. acute care hospitals. DESIGN: Systematic review. Studies were identified through existing reviews, searching five electronic databases, screening reference lists, and contacting topic experts for studies published through August 2011. SETTING: U.S. acute care hospitals. PARTICIPANTS: Studies reporting in-hospital falls for intervention groups and concurrent (e.g., controlled trials) or historic comparators (e.g., before-after studies). INTERVENTION: Fall prevention interventions. MEASUREMENTS: Incidence rate ratios (IRR, ratio of fall rate postintervention or treatment group to the fall rate preintervention or control group) and ratings of study details. RESULTS: Fifty-nine studies met inclusion criteria. Implementation strategies were sparsely documented (17% not at all) and included staff education, establishing committees, seeking leadership support, and occasionally continuous quality improvement techniques. Most interventions (81%) included multiple components (e.g., risk assessments (often not validated), visual risk alerts, patient education, care rounds, bed-exit alarms, and postfall evaluations). Fifty-four percent did not report on fall prevention measures applied in the comparison group, and 39% neither reported fidelity data nor described adherence strategies such as regular audits and feedback to ensure completion of care processes. Only 45% of concurrent and 15% of historic control studies reported sufficient data to compare fall rates. The pooled postintervention incidence rate ratio (IRR) was 0.77 (95% confidence interval = 0.52-1.12, P = .17; eight studies; I(2) : 94%). Meta-regressions showed no systematic association between implementation intensity, intervention complexity, comparator information, or adherence levels and IRR. CONCLUSION: Promising approaches exist, but better reporting of outcomes, implementation, adherence, intervention components, and comparison group information is necessary to establish evidence on how hospitals can successfully prevent falls.

Making difficult decisions: the role of quality of care in choosing a nursing home.

OBJECTIVES: We investigated how quality of care affects choosing a nursing home. METHODS: We examined nursing home choice in California, Ohio, New York, and Texas in 2001, a period before the federal Nursing Home Compare report card was published. Thus, consumers were less able to observe clinical quality or clinical quality was masked. We modeled nursing home choice by estimating a conditional multinomial logit model. RESULTS: In all states, consumers were more likely to choose nursing homes of high hotel services quality but not clinical care quality. Nursing home choice was also significantly associated with shorter distance from prior residence, not-for-profit status, and larger facility size. CONCLUSIONS: In the absence of quality report cards, consumers choose a nursing home on the basis of the quality dimensions that are easy for them to observe, evaluate, and apply to their situation. Future research should focus on identifying the quality information that offers the most value added to consumers.

Exploratory study of nursing home factors associated with successful implementation of clinical decision support tools for pressure ulcer prevention.

OBJECTIVES: To determine those factors that are associated with nursing homes' success in implementing the On-Time quality improvement (QI) for pressure ulcer prevention program and integrating health information technology (HIT) tools into practice at the unit level. DESIGN: Observational study with quantitative analysis of nursing home characteristics, team participation levels, and implementation milestones collected as part of a QI program. SETTING: Fourteen nursing homes in Washington, District of Columbia, participating in the On-Time Pressure Ulcer Prevention program. MAIN OUTCOME MEASURES: The nursing home level of implementation was measured by counting the number of implementation milestones achieved after at least 9 months of implementation effort. MAIN RESULTS: After at least 9 months of implementation effort, 36% of the nursing homes achieved level III, a high level of implementation, of the On-Time QI-HIT program. Factors significantly associated with high implementation were high level of involvement from the administrator or director of nursing, high level of nurse manager participation, presence of in-house dietitian, high level of participation of staff educator and QI personnel, presence of an internal champion, and team's openness to redesign. One factor that was identified as a barrier to high level of implementation was higher numbers of health inspection deficiencies per bed. CONCLUSION: The learning from On-Time QI offers several lessons associated with facility factors that contribute to high level of implementation of a QI-HIT program in a nursing home.

What factors contribute to successful appeals of nursing homes' deficiencies in the informal dispute resolution process?

OBJECTIVES: To determine what factors contribute to successful appeals of nursing home deficiencies in the Informal Dispute Resolution (IDR) process. DESIGN: We merged Centers for Medicare and Medicaid Services' data about IDRs with Online Survey, Certification, and Reporting data about nursing home characteristics. We performed multivariate statistical analyses to predict successful appeals as a function of characteristics of the deficiency being appealed, the survey that triggered the deficiency, characteristics of the nursing home, and the state. SETTING: All nursing homes nationally in the period 2005-2008. MEASUREMENTS: Successful appeals were defined as those in which the deficiency was removed or its severity or scope reduced. Independent variables included the Centers for Medicare and Medicaid Services' measures of severity and scope of deficiency, abuse and neglect, substandard care, total number of deficiencies in the survey, whether the IDR was triggered by a survey or complaint, facility ownership and reputation, and state stringency of regulation. RESULTS: Twenty-six percent of submitted IDRs were successful in 2005-2008. Success was more likely for less severe deficiencies, when deficiencies were triggered by a survey rather than a complaint, and when fewer deficiencies were included in the appeal. Facility ownership and state stringency of regulation were not significantly associated with the IDR success. DISCUSSION: Overall, 2.6% of deficiencies issued were overturned through the IDR process. Further study is required to determine the appropriateness of these overturned cases and the opportunities they offer to improve the survey process.

State "technical assistance programs" for nursing home quality improvement: variations and potential implications.

To improve nursing home quality, many states have developed "technical assistance programs" that provide on-site consultation and training for nursing facility staff. We conducted a national survey on these state programs to collect data on program design, operations, financing, and perceived effectiveness. As of 2010, 17 states had developed such programs. Compared to existing state nursing home quality regulations, these programs represent a collaborative, rather than enforcement-oriented, approach to quality. However, existing programs vary substantially in key structural features such as staffing patterns, funding levels, and relationship with state survey and certification agencies. Perceived effectiveness by program officials on quality was high, although few states have performed formal evaluations. Perceived barriers to program effectiveness included lack of appropriate staff and funding, among others. In conclusion, state technical assistance programs for nursing homes vary in program design and perceived effectiveness. Future comparative evaluations are needed to inform evidence-based quality initiatives.

The effect of state regulatory stringency on nursing home quality.

OBJECTIVE: To test the hypothesis that more stringent quality regulations contribute to better quality nursing home care and to assess their cost-effectiveness. DATA SOURCES/SETTING: Primary and secondary data from all states and U.S. nursing homes between 2005 and 2006. STUDY DESIGN: We estimated seven models, regressing quality measures on the Harrington Regulation Stringency Index and control variables. To account for endogeneity between regulation and quality, we used instrumental variables techniques. Quality was measured by staffing hours by type per case-mix adjusted day, hotel expenditures, and risk-adjusted decline in activities of daily living, high-risk pressure sores, and urinary incontinence. DATA COLLECTION: All states' licensing and certification offices were surveyed to obtain data about deficiencies. Secondary data included the Minimum Data Set, Medicare Cost Reports, and the Economic Freedom Index. PRINCIPAL FINDINGS: Regulatory stringency was significantly associated with better quality for four of the seven measures studied. The cost-effectiveness for the activities-of-daily-living measure was estimated at about 72,000 in 2011/ Quality Adjusted Life Year. CONCLUSIONS: Quality regulations lead to better quality in nursing homes along some dimensions, but not all. Our estimates of cost-effectiveness suggest that increased regulatory stringency is in the ballpark of other acceptable cost-effective practices.

Thirty-day, all-cause readmissions for elderly patients who have an injury-related inpatient stay.

BACKGROUND: Policymakers are exploring ways to reduce readmission rates. Much attention has been given to readmissions for conditions such as heart failure, acute myocardial infarction, and pneumonia, but little attention has been given to readmissions of patients with injury-related index admissions. METHODS: This analysis is a retrospective cohort study of elderly persons who are admitted to a community hospital for a principal diagnosis of injury. We use 2006 Healthcare Cost and Utilization Project State Inpatient Databases and State Emergency Department Databases from 11 States. With logistic regression we identify factors associated with a 30-day, all-cause inpatient readmission. Factors include: patient characteristics, injury characteristics, clinical experiences during the hospital stay, and hospital characteristics. RESULTS: About 1 in 7 elderly patients with an injury-related admission were readmitted in 30 days (13.7%). We found that severe injuries had higher predicted readmission rates. Patients receiving transfusions, experiencing a Patient Safety Indicator event, and with infections had higher readmission rates. Patients discharged to nursing homes or home health care had higher readmission rates compared with patients discharged to the community. CONCLUSIONS: This study expands evidence for the influence of injury characteristics on readmission rates. It also provides evidence about hospital experiences that affect readmissions. These findings suggest that a focus on preventing complications during the hospital stay may help reduce hospital-specific readmissions for patients with injury-related conditions. It also suggests that a strategy to reduce readmission rates should not only focus on hospitals but also nursing homes and home health care.

Nursing homes appeals of deficiencies: the informal dispute resolution process.

OBJECTIVE: Nursing homes that are not meeting quality standards are cited for deficiencies. Before 1995, the only recourse for a nursing home was a formal appeal process, which is lengthy and costly. In 1995, the Centers for Medicare & Medicaid Services instituted the Informal Dispute Resolution (IDR) process. This study presents for the first time national statistics about the IDR process and an analysis of the factors that influence nursing homes' decisions to request an IDR. DESIGN: Retrospective study including descriptive statistics and multivariate logistic hierarchical models. SETTING: US nursing homes from 2005 to 2008. PARTICIPANTS: Participants were 15,916 Medicaid- and Medicare-certified nursing homes nationally, with 94,188 surveys and 9388 IDRs. MEASURES: The unit of observation was an annual survey or a complaint survey that generated at least one deficiency. The dependent variable was dichotomous and indicated whether the annual or a complaint survey triggered an IDR request. Independent variables included characteristics of the nursing home, the deficiency, the market, and the state regulatory environment. RESULTS: Ten percent of all annual surveys and complaint surveys resulted in IDRs. There was substantial variation across states, which persisted over time. Multivariate results suggest that nursing homes' decisions to request an IDR depend on their assessment of the probability of success and assessment of the benefits of the submission. CONCLUSIONS: Nursing homes avail themselves of the IDR process. Their propensity to do so depends on a number of factors, including the state regulatory system and the market environment in which they operate.

Does state regulation of quality impose costs on nursing homes?

BACKGROUND: Government regulation is intended to enhance quality, safety, fairness, or competition in the regulated industry. Such regulation entails both direct and indirect costs. OBJECTIVES: To estimate the costs associated with the regulation of quality of the nursing home industry. SAMPLE: This study includes 11,168 free-standing nursing homes nationally, between 2004 and 2006. RESEARCH DESIGN: Data included information from the Medicare cost reports, Minimum Data Set, Medicare Denominator file, OSCAR, and a survey of States' Certification and Licensing Offices conducted by the authors. These data were used to create variables measuring nursing homes costs, outputs, wages, competition, adjusted deficiency citations, ownership, state-fixed effects, and an index of each state's regulatory stringency. We estimated hybrid cost functions which included the regulatory stringency index. RESULTS: The estimated cost functions demonstrated the typical behavior expected of nursing home cost functions. The stringency index was positively and significantly associated with costs, indicating that nursing homes located in states with more stringent regulatory requirements face higher costs, ceteris paribus. The average incremental costs of a 1 standard deviation increase in the stringency index resulted in a 1.1% increase in costs. CONCLUSIONS: This study for the first time places a price tag on the regulation of quality in nursing homes. It offers an order of magnitude on the costs to the industry of complying with the current set of standards and given the current level of enforcement. Complementary studies of the benefits that these regulations entail are needed to gain a comprehensive assessment of the effect of the regulation.

Leveraging certified nursing assistant documentation and knowledge to improve clinical decision making: the on-time quality improvement program to prevent pressure ulcers.

The goal of this article was to enhance understanding of the On-Time Quality Improvement for Long-term Care Program, a practical approach to embed health information technology into quality improvement in nursing homes that leverages certified nursing assistant documentation and knowledge, supports frontline clinical decision making, and establishes proactive intervention for pressure ulcer prevention.