Dashboard Design to Identify and Balance Competing Risk of Multiple Hospital-Acquired Conditions.

BACKGROUND: Hospital-acquired conditions (HACs) are common, costly, and national patient safety priority. Catheter-associated urinary tract infections (CAUTIs), hospital-acquired pressure injury (HAPI), and falls are common HACs. Clinicians assess each HAC risk independent of other conditions. Prevention strategies often focus on the reduction of a single HAC rather than considering how actions to prevent one condition could have unintended consequences for another HAC. OBJECTIVES: The objective of this study is to design an empirical framework to identify, assess, and quantify the risks of multiple HACs (MHACs) related to competing single-HAC interventions. METHODS: This study was an Institutional Review Board approved, and the proof of concept study evaluated MHAC Competing Risk Dashboard to enhance clinicians' management combining the risks of CAUTI, HAPI, and falls. The empirical model informing this study focused on the removal of an indwelling urinary catheter to reduce CAUTI, which may impact HAPI and falls. A multisite database was developed to understand and quantify competing risks of HACs; a predictive model dashboard was designed and clinical utility of a high-fidelity dashboard was qualitatively tested. Five hospital systems provided data for the predictive model prototype; three served as sites for testing and feedback on the dashboard design and usefulness. The participatory study design involved think-aloud methods as the clinician explored the dashboard. Individual interviews provided an understanding of clinician's perspective regarding ease of use and utility. RESULTS: Twenty-five clinicians were interviewed. Clinicians favored a dashboard gauge design composed of green, yellow, and red segments to depict MHAC risk associated with the removal of an indwelling urinary catheter to reduce CAUTI and possible adverse effects on HAPI and falls. CONCLUSION: Participants endorsed the utility of a visual dashboard guiding clinical decisions for MHAC risks preferring common stoplight color understanding. Clinicians did not want mandatory alerts for tool integration into the electronic health record. More research is needed to understand MHAC and tools to guide clinician decisions.

The Prevalence of Cardiovascular Disease and Other Comorbidities Among American Indian and Alaska Native Adults with Diabetes.

AIMS: American Indians and Alaska Native (AI/ANs) peoples experience significant health disparities compared to the U.S. general population. We report comorbidities among AI/ANs with diabetes to guide efforts to improve their health status. METHODS: Drawing upon data for over 640,000 AI/ANs who used services funded by the Indian Health Service, we identified 43,518 adults with diabetes in fiscal year 2010. We reported the prevalence of comorbidities by age and cardiovascular disease (CVD) status. Generalized linear models were estimated to describe associations between CVD and other comorbidities. RESULTS: Nearly 15% of AI/AN adults had diabetes. Hypertension, CVD and kidney disease were comorbid in 77.9%, 31.6%, and 13.3%, respectively. Nearly 25% exhibited a mental health disorder; 5.7%, an alcohol or drug use disorder. Among AI/ANs with diabetes absent CVD, 46.9% had 2 or more other chronic conditions; the percentage among adults with diabetes and CVD was 75.5%. Hypertension and tobacco use disorders were associated with a 71% (95% CI for prevalence ratio: 1.63 - 1.80) and 33% (1.28 - 1.37) higher prevalence of CVD, respectively, compared to adults without these conditions. CONCLUSION: Detailed information on the morbidity burden of AI/ANs with diabetes may inform enhancements to strategies implemented to prevent and treat CVD and other comorbidities.

Design and Evaluation of Low-Fidelity Visual Display Prototypes for Multiple Hospital-Acquired Conditions.

Hospital-acquired conditions such as catheter-associated urinary tract infection, stage 3 or 4 hospital-acquired pressure injury, and falls with injury are common, costly, and largely preventable. This study used participatory design methods to design and evaluate low-fidelity prototypes of clinical dashboards to inform high-fidelity prototype designs to visualize integrated risks based on patient profiles. Five low-fidelity prototypes were developed through literature review and by engaging nurses, nurse managers, and providers as participants (N = 23) from two hospitals in different healthcare systems using focus groups and interviews. Five themes were identified from participatory design sessions: Need for Integrated Hospital-Acquired Condition Risk Tool, Information Needs, Sources of Information, Trustworthiness of Information, and Performance Tracking Perspectives. Participants preferred visual displays that represented patient comparative risks for hospital-acquired conditions using the familiar design metaphor of a gauge and green, yellow, and red "traffic light" colors scheme. Findings from this study were used to design a high-fidelity prototype to be tested in the next phase of the project. Visual displays of hospital-acquired conditions that are familiar in display and simplify complex information such as the green, yellow, and red dashboard are needed to assist clinicians in fast-paced clinical environments and be designed to prevent alert fatigue.

Disparities in Potentially Preventable Hospitalizations Between American Indian and Alaska Native and Non-Hispanic White Medicare Enrollees.

OBJECTIVE: A number of health care initiatives seek to improve health outcomes by increasing access to outpatient services while reducing preventable acute events. We evaluated disparities between American Indian and Alaska Native (AI/AN) and non-Hispanic white (white) Medicare enrollees in access to outpatient preventive, primary, and specialty services by comparing their potentially preventable hospitalizations (PPHs). RESEARCH DESIGN: The study population included 121,311 adult AI/AN Medicare enrollees registered to use services funded by the Indian Health Service and 5,915,011 adult white enrollees living in the same counties. Medicare 2010 data and a nationally recognized algorithm were used to identify PPHs. RESULTS: Among AI/AN Medicare enrollees, 58.6% had either diabetes, cardiovascular disease, or both conditions; the AI/AN age-adjusted prevalence of either or both conditions was 1.2 times that of the white enrollees (P<0.001). The age-adjusted PPH rate for all AI/ANs was 74 admissions per 1000 adults, 1.5 times that of white enrollees (P<0.001). Nearly 90% of AI/AN PPHs were among AI/ANs with diabetes, cardiovascular disease, or both conditions; their PPH rate was 114 admissions per 1000 adults, 1.2 times that of white enrollees (P<0.001) with those conditions. CONCLUSIONS: Differences in disease burden and access to outpatient services may partly explain the higher PPH rates for AI/AN Medicare enrollees. The health care quality measure used in this study (PPH) was developed for the US general population. It is important to consider AI/AN socioeconomic and other characteristics when interpreting findings for such measures and enhancing programs and policies to improve AI/AN health outcomes.

Costs And Savings Associated With Community Water Fluoridation In The United States.

The most comprehensive study of US community water fluoridation program benefits and costs was published in 2001. This study provides updated estimates using an economic model that includes recent data on program costs, dental caries increments, and dental treatments. In 2013 more than 211 million people had access to fluoridated water through community water systems serving 1,000 or more people. Savings associated with dental caries averted in 2013 as a result of fluoridation were estimated to be $32.19 per capita for this population. Based on 2013 estimated costs ($324 million), net savings (savings minus costs) from fluoridation systems were estimated to be $6,469 million and the estimated return on investment, 20.0. While communities should assess their specific costs for continuing or implementing a fluoridation program, these updated findings indicate that program savings are likely to exceed costs.