Cost Savings Associated With Implementing 4 Total Joint Replacement Electronic Clinical Quality Measures Nationally: 2020-2040.

BACKGROUND: Digital transformation using widely available electronic data is a key component to improving health outcomes and customer choice and decreasing cost and measurement burden. Despite these benefits, existing information on the potential cost savings from electronic clinical quality measures (eCQMs) is limited. METHODS: We assessed the costs of implementing 4 eCQMs related to total hip and/or total knee arthroplasty into electronic health record systems across healthcare systems in the United States. We used published literature and technical expert panel consultation to calculate low-, mid-, and high-range hip and knee arthroplasty surgery projections, and used empirical testing, literature, and technical expert panel consultation to develop an economic model to assess projected cost savings of eCQMs when implemented nationally. RESULTS: Low-, mid-, and high-range projected cost savings for year's 2020, 2030, and 2040 were calculated for 4 orthopedic eCQMs. Mid-range projected cost savings for 2020 ranged from $7.9 to $31.9 million per measure per year. A breakeven of between 0.5% and 5.1% of adverse events (measure dependent) must be averted for cost savings to outweigh implementation costs. CONCLUSIONS: All measures demonstrated potential cost savings. These findings suggest that eCQMs have the potential to lower healthcare costs and improve patient outcomes without adding to physician documentation burden. The Centers for Medicare and Medicaid Services' investment in eCQMs is an opportunity to reduce adverse outcomes and excess costs in orthopedics.

Cost of Inpatient Falls and Cost-Benefit Analysis of Implementation of an Evidence-Based Fall Prevention Program.

Importance: There is insufficient research on the costs of patient falls in health care systems, a leading source of nonreimbursable adverse events. Objective: To report the costs of inpatient falls and the cost savings associated with implementation of an evidence-based fall prevention program. Design, Setting, and Participants: In this economic evaluation, a matched case-control study used the findings from an interrupted time series analysis that assessed changes in fall rates following implementation of an evidence-based fall prevention program to understand the cost of inpatient falls. An economic analysis was then performed to assess the cost benefits associated with program implementation across 2 US health care systems from June 1, 2013, to August 31, 2019, in New York, New York, and Boston, Massachusetts. All adults hospitalized in participating units were included in the analysis. Data analysis was performed from October 2021 to November 2022. Interventions: Evidence-based fall prevention program implemented in 33 medical and surgical units in 8 hospitals. Main Outcomes and Measures: Primary outcome was cost of inpatient falls. Secondary outcome was the costs and cost savings associated with the evidence-based fall prevention program. Results: A total of 10 176 patients who had a fall event (injurious or noninjurious) with 29 161 matched controls (no fall event) were included in the case-control study and the economic analysis (51.9% were 65-74 years of age, 67.1% were White, and 53.6% were male). Before the intervention, there were 2503 falls and 900 injuries; after the intervention, there were 2078 falls and 758 injuries. Based on a 19% reduction in falls and 20% reduction in injurious falls from the beginning to the end of the postintervention period, the economic analysis demonstrated that noninjurious and injurious falls were associated with cost increases of $35 365 and $36 776, respectively. The implementation of the evidence-based fall prevention program was associated with $14 600 in net avoided costs per 1000 patient-days. Conclusions and Relevance: This economic evaluation found that fall-related adverse events represented a clinical and financial burden to health care systems and that the current Medicare policy limits reimbursement. In this study, costs of falls only differed marginally by injury level. Policies that incentivize organizations to implement evidence-based strategies that reduce the incidence of all falls may be effective in reducing both harm and costs.

Reducing ICU Utilization, Length of Stay, and Cost by Optimizing the Clinical Use of Continuous Monitoring System Technology in the Hospital.

BACKGROUND: Continuous monitoring system technology (CMST) aids in earlier detection of deterioration of hospitalized patients, but whether improved outcomes are sustainable is unknown. METHODS: This interrupted time series evaluation explored whether optimized clinical use of CMST was associated with sustained improvement in intensive care unit (ICU) utilization, hospital length of stay, cardiac arrest rates, code blue events, mortality, and cost across multiple adult acute care units. RESULTS: A total of 20,320 patients in the postoptimized use cohort compared with 16,781 patients in the preoptimized use cohort had a significantly reduced ICU transfer rate (1.73% vs 2.25%, P = .026) corresponding to 367.11 ICU days saved over a 2-year period, generating an estimated cost savings of more than $2.3 million. Among patients who transferred to the ICU, hospital length of stay was decreased (8.37 vs 9.64 days, P = .004). Cardiac arrest, code blue, and mortality rates did not differ significantly. CONCLUSION: Opportunities exist to promote optimized adoption and use of CMST at acute care facilities to sustainably improve clinical outcomes and reduce cost.

Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure injury risk can significantly facilitate early prevention and treatment and avoid adverse outcomes. While many pressure injury risk assessment tools exist, most were developed before there was access to large clinical datasets and advanced statistical methods, limiting their accuracy. In this paper, we describe the development of machine learning-based predictive models, using phenotypes derived from nurse-entered direct patient assessment data. METHODS: We utilized rich electronic health record data, including full assessment records entered by nurses, from 5 different hospitals affiliated with a large integrated healthcare organization to develop machine learning-based prediction models for pressure injury. Five-fold cross-validation was conducted to evaluate model performance. RESULTS: Two pressure injury phenotypes were defined for model development: nonhospital acquired pressure injury (N = 4398) and hospital acquired pressure injury (N = 1767), representing 2 distinct clinical scenarios. A total of 28 clinical features were extracted and multiple machine learning predictive models were developed for both pressure injury phenotypes. The random forest model performed best and achieved an AUC of 0.92 and 0.94 in 2 test sets, respectively. The Glasgow coma scale, a nurse-entered level of consciousness measurement, was the most important feature for both groups. CONCLUSIONS: This model accurately predicts pressure injury development and, if validated externally, may be helpful in widespread pressure injury prevention.

Testing of a Risk-Standardized Complication Rate Electronic Clinical Quality Measure (eCQM) for Total Hip and/or Total Knee Arthroplasty.

Supported by the Centers for Medicare & Medicaid Services (CMS), Brigham and Women's Hospital (BWH) has retooled the existing claims-based measures NQF1550 and NQF3493 into an electronic clinical quality measure (eCQM) to assess the risk-standardized complication rate (RSCR) following elective primary total hip (THA) and knee arthroplasty (TKA) at the clinician group level. This novel eCQM includes risk-adjustment for social determinants of health, includes all adult patients from all payers, leverages electronic health records (EHRs) rather than claims-based data, and includes both inpatient and outpatient procedures and complications which offers benefits compared to existing metrics. Following testing in two geographically different healthcare systems, the overall risk-standardized complication rate within 90 days following THA and TKA at the two sites was 3.60% (Site 1) and 3.70% (Site 2). This measure is designed for use in the Merit-Based Incentive Payment System (MIPS).

Testing of a Risk-Standardized Major Bleeding and Venous Thromboembolism Electronic Clinical Quality Measure for Elective Total Hip and/or Knee Arthroplasties.

Brigham and Women's Hospital has received funding from the Centers for Medicare and Medicaid Services to develop a novel electronic clinical quality measure to assess the risk-standardized major bleeding and venous thromboembolism (VTE) rate following elective total hip and/or knee arthroplasty. There are currently no existing measures that evaluate both the bleeding and VTE events following joint arthroplasty (TJA). Our novel composite measure was tested within two academic health systems with 17 clinician groups meeting the inclusion criteria. Following risk adjustment, the overall adjusted bleeding rate was 3.87% and ranged between 1.99% - 5.66%. The unadjusted VTE rate was 0.39% and ranged between 0% - 2.65%. The overall VTE/Bleeding composite score was 2.15 and ranged between 1.15 - 3.19. This measure seeks to provide clinician groups with a tool to assess their patient bleeding and VTE rates and compare them to their peers, ultimately providing an evidence-based quality metric assessing orthopedic practices.

Development of four electronic clinical quality measures (eCQMs) for use in the Merit-based Incentive Payment System (MIPS) following elective primary total hip and knee arthroplasty.

The Centers for Medicare & Medicaid Services (CMS) supported Brigham and Women's Hospital (BWH) Center for Patient Safety, Research, and Practice to retool one existing National Quality Forum (NQF) endorsed clinical quality measure (CQM) measure into an electronic clinical quality measure (eCQM) and develop three new eCQMs related to orthopedic care. This manuscript details the iterative process of measure development through environmental scans and stakeholder feedback prior to testing at two geographically different sites. The four measures under development are the: Risk Standardized Complication Rate (RSCR), Risk Standardized Venous Thromboembolism and Major Bleeding Rate (VTE/Bleeding), Risk Standardized Prolonged Opioid Prescribing Rate (POP), and the Risk Standardized Inpatient Respiratory Depression Rate (IRD).

Technology-facilitated care coordination in rural areas: What is needed?

BACKGROUND: Health is poorer in rural areas and a major challenge is care coordination for complex chronic conditions. The HITECH and 21st Century Cure Acts emphasize health information exchange which underpins activities required to improve care coordination. OBJECTIVE AND METHODS: Using semi-structured interviews and surveys, we examined how providers experience electronic health information exchange during care coordination since these Acts were implemented, with a focus on rural settings where health disparities exist. We used a purposive sample that included primary care, acute care hospitals, and community health services in the United States. FINDINGS: We identified seven themes related to care coordination and information exchange: 'insufficient trust of data'; 'please respond'; 'just fax it'; 'care plans'; 'needle in the haystack'; 're-documentation'; and 'rural reality'. These gaps were magnified when information exchange was required between unaffiliated electronic health records (EHRs) about shared patients, which was more pronounced in rural settings. CONCLUSION: Policy and incentive modifications are likely needed to overcome the observed health information technology (HIT) shortcomings. Rural settings in the United States accentuate problems that can be addressed through international medical informatics policy makers and the implementation and evaluation of interoperable HIT systems.

Fall Prevention Self-Management Among Older Adults: A Systematic Review.

CONTEXT: Adequate self-management could minimize the impact of falls in older adults. The efficacy of fall prevention self-management interventions has been widely studied, yet little is known about why some older adults engage in fall prevention self-management actions and behaviors, whereas others do not. Through a systematic review of fall prevention self-management studies, this study identified characteristics and the personal, social, and environmental factors of older adults who engage in self-management actions and behaviors. EVIDENCE ACQUISITION: Medical and nursing literature related to fall prevention self-management was searched in PubMed, Embase, and CINAHL (1997-2017), and relevant publications were selected by three researchers to assess whether the papers included subject characteristics and their fall prevention self-management actions and behaviors. GRADE (Grading of Recommendations, Assessment, Development and Evaluations) was used by the researchers to assess the quality of the included studies and to determine the significance of the extracted characteristics. EVIDENCE SYNTHESIS: Searching literature through 2017, a total of 972 papers were identified, and 28 papers remained after removing those that did not meet inclusion criteria. Nine papers that addressed subject characteristics in relation to the study outcomes were included in a sub-analysis. The authors identified the following characteristics of older adults who participated in fall prevention self-management actions and behaviors: younger males, not living alone and with self-reported good health, having greater fear of falling and high fall prevention self-efficacy, and possessing high motivation for engagement with self-management activities. CONCLUSIONS: The systematic literature review revealed the personal characteristics of older adults who engage in fall prevention self-management actions and behaviors.

Prospective Evaluation of a Multifaceted Intervention to Improve Outcomes in Intensive Care: The Promoting Respect and Ongoing Safety Through Patient Engagement Communication and Technology Study.

OBJECTIVES: Studies comprehensively assessing interventions to improve team communication and to engage patients and care partners in ICUs are lacking. This study examines the effectiveness of a patient-centered care and engagement program in the medical ICU. DESIGN: Prospective intervention study. SETTING: Medical ICUs at large tertiary care center. PATIENTS: Two thousand one hundred five patient admissions (1,030 before and 1,075 during the intervention) from July 2013 to May 2014 and July 2014 to May 2015. INTERVENTIONS: Structured patient-centered care and engagement training program and web-based technology including ICU safety checklist, tools to develop shared care plan, and messaging platform. Patient and care partner access to online portal to view health information, participate in the care plan, and communicate with providers. MEASUREMENTS AND MAIN RESULTS: Primary outcome was aggregate adverse event rate. Secondary outcomes included patient and care partner satisfaction, care plan concordance, and resource utilization. We included 2,105 patient admissions, (1,030 baseline and 1,075 during intervention periods). The aggregate rate of adverse events fell 29%, from 59.0 per 1,000 patient days (95% CI, 51.8-67.2) to 41.9 per 1,000 patient days (95% CI, 36.3-48.3; p < 0.001), during the intervention period. Satisfaction improved markedly from an overall hospital rating of 71.8 (95% CI, 61.1-82.6) to 93.3 (95% CI, 88.2-98.4; p < 0.001) for patients and from 84.3 (95% CI, 81.3-87.3) to 90.0 (95% CI, 88.1-91.9; p < 0.001) for care partners. No change in care plan concordance or resource utilization. CONCLUSIONS: Implementation of a structured team communication and patient engagement program in the ICU was associated with a reduction in adverse events and improved patient and care partner satisfaction.

Methodology issues in implementation science.

BACKGROUND: Putting evidence into practice at the point of care delivery requires an understanding of implementation strategies that work, in what context and how. OBJECTIVE: To identify methodological issues in implementation science using 4 studies as cases and make recommendations for further methods development. RESEARCH DESIGN: Four cases are presented and methodological issues identified. For each issue raised, evidence on the state of the science is described. RESULTS: Issues in implementation science identified include diverse conceptual frameworks, potential weaknesses in pragmatic study designs, and the paucity of standard concepts and measurement. CONCLUSIONS: Recommendations to advance methods in implementation include developing a core set of implementation concepts and metrics, generating standards for implementation methods including pragmatic trials, mixed methods designs, complex interventions and measurement, and endorsing reporting standards for implementation studies.

A pilot study to explore the feasibility of using theClinical Care Classification System for developing a reliable costing method for nursing services.

While nursing activities represent a significant proportion of inpatient care, there are no reliable methods for determining nursing costs based on the actual services provided by the nursing staff. Capture of data to support accurate measurement and reporting on the cost of nursing services is fundamental to effective resource utilization. Adopting standard terminologies that support tracking both the quality and the cost of care could reduce the data entry burden on direct care providers. This pilot study evaluated the feasibility of using a standardized nursing terminology, the Clinical Care Classification System (CCC), for developing a reliable costing method for nursing services. Two different approaches are explored; the Relative Value Unit RVU and the simple cost-to-time methods. We found that the simple cost-to-time method was more accurate and more transparent in its derivation than the RVU method and may support a more consistent and reliable approach for costing nursing services.

A case control study to improve accuracy of an electronic fall prevention toolkit.

Patient falls are a serious and commonly report adverse event in hospitals. In 2009, our team conducted the first randomized control trial of a health information technology-based intervention that significantly reduced falls in acute care hospitals. However, some patients on intervention units with access to the electronic toolkit fell. The purpose of this case control study was to use data mining and modeling techniques to identify the factors associated with falls in hospitalized patients when the toolkit was in place. Our ultimate aim was to apply our findings to improve the toolkit logic and to generate practice recommendations. The results of our evaluation suggest that the fall prevention toolkit logic is accurate but strategies are needed to improve adherence with the fall prevention intervention recommendations generated by the electronic toolkit.

Why do patients in acute care hospitals fall? Can falls be prevented?

OBJECTIVE: Obtain the views of nurses and assistants as to why patients in acute care hospitals fall. BACKGROUND: Despite a large quantitative evidence base for guiding fall risk assessment and not needing highly technical, scarce, or expensive equipment to prevent falls, falls are serious problems in hospitals. METHODS: Basic content analysis methods were used to interpret descriptive data from 4 focus groups with nurses (n = 23) and 4 with assistants (n = 19). A 2-person consensus approach was used for analysis. RESULTS: Positive and negative components of 6 concepts-patient report, information access, signage, environment, teamwork, and involving patient/family-formed 2 core categories: knowledge/ communication and capability/actions that are facilitators or barriers, respectively, to preventing falls. CONCLUSION: Two conditions are required to reduce patient falls. A patient care plan including current and accurate fall risk status with associated tailored and feasible interventions needs to be easily and immediately accessible to all stakeholders (entire healthcare team, patients, and family). Second, stakeholders must use that information plus their own knowledge and skills and patient and hospital resources to carry out the plan.

The adequacy of ICNP version 1.0 as a representational model for electronic nursing assessment documentation.

OBJECTIVES: The purpose of this study was to evaluate the adequacy of the International Classification of Nursing Practice (1) (ICPN) Version 1.0 as a representational model for nursing assessment documentation. DESIGN AND MEASUREMENTS: To identify representational requirements of nursing assessments, the authors mapped key concepts and semantic relations extracted from standardized and local nursing admission assessment documentation forms/templates and inpatient admission assessment records to the ICNP. Next, they expanded the list of ICNP semantic relations with those obtained from the admission assessment forms/templates. The expanded ICNP semantic relations were then validated against the semantic relations identified from an additional set of admission assessment records and a set of 300 randomly selected North American Nursing Diagnosis Association defining characteristic phrases. The concept coverage of the ICNP was evaluated by mapping the concepts extracted from these sources to the ICNP concepts. The UMLS Methathesaurus was then used to map concepts without exact matches to other American Nursing Association (ANA) recognized terminologies. RESULTS: The authors found that along with the 30 existing ICNP semantic relations, an additional 17 are required for the ICNP to function as a representational model for nursing assessment documentation. Eight hundred and five unique assessment concepts were extracted from all sources. Forty-three percent of these unique assessment concepts had exact matches in the ICNP. An additional 20% had matches in the ICNP classified as narrower, broader, or "other." Of the concepts without exact matches in the ICNP, 81% had exact matches found in other ANA recognized terminologies. CONCLUSIONS: The broad concept coverage and the logic-based structure of the ICNP make it a flexible and robust standard. The ICNP provides a framework from which to capture and reuse atomic level data to facilitate evidence-based practice.

Representing nursing assessment documentation with ICNP.

The purpose of this study was to identify key concepts and semantic relations necessary to represent standardized and local patient assessment items in an electronic documentation system and to evaluate the degree to which coverage of both are represented by ICNP. A total of 805 unique assessment concepts were identified. Forty-three percent had exact matches in ICNP, and an additional 20% had matches in the ICNP classified as narrower, broader or other.

A model of recovering medical errors in the coronary care unit.

OBJECTIVE: The purpose of this study was to explore the thoughts, interpersonal processes, and actions used by nurses who had recently intervened to protect coronary care unit (CCU) patients from potential medical errors. METHODS: The study used semistructured interviews conducted with 18 very experienced CCU nurses in two academic medical centers. Content analysis was used to code and analyze text segments. Core codes were used for developing an empirically derived model. RESULTS: There were more than 1000 data bits of accounts of involvement in the near-miss events, thought processes and actions surrounding the events, communication strategies used, feelings, outcomes, reflection about the event and consequences, and environment/context in which the events occurred. A three-stage temporally ordered model illustrates the process of recovering medical errors. In stage one, the presence of the evolving clinical scenario and nursing knowledge and expertise plus the CCU context are the antecedents that lead to processes and actions of identification, interruption, and correction of the error in stage two. Outcomes of whether or not the near miss was recovered lead to an adverse event (or not), and reflections on the process and outcome lead to the nurse's feelings about the event in stage three. CONCLUSIONS: The model can guide nursing administration, practice, education, and research to recognize and value this responsibility, to teach others, and to test strategies to enhance the vital nursing role of recovering near-miss events that leads to safer and better patient care.

A randomized trial of standardized nursing patient assessment using wireless devices.

A complete and accurate patient assessment database is essential for effective communication, problem identification, planning and evaluation of patient status. When employed consistently for point-of-care documentation, information systems are associated with completeness and quality of documentation. The purpose of this paper is to report on the findings of a randomized, cross-over study conducted to evaluate the adequacy of a standard patient assessment module to support problem identification, care planning and tracking of nursing sensitive patient outcomes. The feasibility of wireless devices to support patient assessment data collection at the point-of-care was evaluated using wireless PDAs and tablet PCs. Seventy-nine (79) nurses from two patient care units at Massachusetts General Hospital (Boston, MA) were recruited into the study and randomized to complete patient assessment using wireless or paper devices. At the end of six weeks, nurses who where randomized to the paper assessment module were assigned to a device and those who used a device were assigned to paper for an additional six weeks. Impact was evaluated with regard to data capture, workflow implications and nurse satisfaction. Findings suggest that a standard patient assessment set promotes patient sensitive and quality data capture, which is augmented by the use of wireless devices.

A systematic approach to baseline assessment of nursing documentation and enterprise-wide prioritization for electronic conversion.

An important challenge associated with making the transition from paper to electronic documentation systems is achieving consensus regarding priorities for electronic conversion across diverse groups. In our work we focus on applying a systematic approach to evaluating the baseline state of nursing documentation across a large healthcare system and establishing a unified vision for electronic conversion. A review of the current state of nursing documentation across PHS was conducted using structured tools. Data from this assessment was employed to facilitate an evidence-based approach to decision-making regarding conversion to electronic documentation at local and PHS levels. In this paper we present highlights of the assessment process and the outcomes of this multi-site collaboration.

The feasibility of digital pen and paper technology for vital sign data capture in acute care settings.

The transition from paper to electronic documentation systems in acute care settings is often gradual and characterized by a period in which paper and electronic processes coexist. Intermediate technologies are needed to "bridge" the gap between paper and electronic systems as a means to improve work flow efficiency through data acquisition at the point of care in structured formats to inform decision support and facilitate reuse. The purpose of this paper is to report on the findings of a study conducted on three acute care units at Brigham and Women's Hospital and Massachusetts General Hospital in Boston, MA to evaluate the feasibility of digital pen and paper technology as a means to capture vital sign data in the context of acute care workflows and to make data available in a flow sheet in the electronic medical record.