Greater Protein Intake Emphasizing Lean Beef Does Not Affect Resistance Training-Induced Adaptations in Skeletal Muscle and Tendon of Older Women: A Randomized Controlled Feeding Trial.

BACKGROUND: Although experimental research supports that resistance training (RT), especially with greater dietary protein intake, improves muscle mass and strength in older adults, comparable research on tendons is needed. OBJECTIVES: We assessed the effects of a protein-rich diet emphasizing lean beef, compared with 2 control diets, on RT-induced changes in skeletal muscle and tendon size and strength in older women. METHODS: We randomly assigned women [age: 66 ± 1 y, body mass index (BMI): 28 ± 1] to groups that consumed 1) 0.8 g total protein/kg body weight/day from mixed food sources (normal protein control, n = 16); 2) 1.4 g/kg/d protein from mixed food sources (high protein control, n = 17); or 3) 1.4 g/kg/d protein emphasizing unprocessed lean beef (high protein experimental group, n = 16). Participants were provided with all foods and performed RT 3 times/wk, 70% of 1-repetition maximum for 12 wk. We measured quadriceps muscle volume via magnetic resonance imaging (MRI). We estimated patellar tendon biomechanical properties and cross-sectional area (CSA) using ultrasound and MRI. RESULTS: Dietary intake did not influence RT-induced increases in quadriceps strength (P < 0.0001) or muscle volume (P < 0.05). We noted a trend for an RT effect on mean tendon CSA (P = 0.07), with no differences among diets (P > 0.05). Proximal tendon CSA increased with RT (P < 0.05) with no difference between dietary groups (P > 0.05). Among all participants, midtendon CSA increased with RT (P ≤ 0.05). We found a decrease in distal CSA in the 0.8 g group (P < 0.05) but no change in the 1.4 g group (P > 0.05). Patellar tendon MRI signal or biomechanical properties were unchanged. CONCLUSIONS: Our findings indicated that greater daily protein intake, emphasizing beef, did not influence RT-induced changes in quadriceps muscle strength or muscle volume of older women. Although we noted trends in tendon CSA, we did not find a statistically significant impact of greater daily protein intake from beef on tendon outcomes. This trial was registered at clinicaltrials.gov as NCT04347447.

Testing Race Differences in Risk of Gestational Diabetes Mellitus Associated with Household Food Insecurity (Using NHANES 2007-2018).

OBJECTIVE: This study aimed to estimate the association of household food insecurity with gestational diabetes mellitus (GDM) risk by race and ethnic group. STUDY DESIGN: The study was a secondary analysis from the National Health and Nutrition Examination Survey from 2007 to 2018. A survey-weighted logistic regression model was constructed with self-reported GDM as the response. The primary independent variable was a four-level food security indicator, defined as the inability to obtain food in a socially acceptable way due to the lack of financial resources and controlled for several established risk factors. Analyses were stratified by race (White and Black) and ethnicity (Hispanic) to provide insight into how gestational diabetes risk differs by subpopulation. RESULTS: Results indicated that family history of diabetes is a risk factor across all races (adjusted odds ratio [aOR]: 4.22-16.26), while household food insecurity is a significant risk factor for only Hispanic women living with a partner (aOR: 8.50 for very low food security). CONCLUSION: In the United States, Hispanic women's GDM risk may be uniquely impacted by food insecurity. KEY POINTS: · This study provides a national estimate of the GDM risk from food insecurity by race and ethnicity.. · The results in this study suggest a statistically significant relationship between household food insecurity and an increasing risk of developing GDM for Hispanic individuals.. · White women who live alone (without spouse or partner) were also at elevated risk of GDM.. · Age at delivery, poverty ratio, and family history of diabetes are also risk factors for the disease..

Balancing practicality and validity of elder abuse identification measures: using data from adult protective services investigations.

Background and Objectives. In testing a comprehensive decision support system for Adult Protective Services (APS), this study addressed two problems common in APS research and practice: the psychometric quality of the measures and measurement burden. Research Design and Methods. Data were generated on 1,472 APS cases over six months in two California counties using the Identification, Services and Outcomes (ISO) Matrix, a comprehensive decision support system for APS. The ISO Matrix uses Short-Forms developed from the Elder Abuse Decision Support System (EADSS). Mini-Forms were developed from the Short-Forms and tested in order to reduce measurement burden. Mini-Forms were developed on each measure using sensitivity and specificity of the items in predicting the criterion of substantiation (yes/no). Psychometric quality was addressed by estimating predictive validity and Cronbach's alpha of Short-Forms. Predictive validity and reliability were also estimated on the Mini-Forms as was their correlation with the Short-Forms. Results. On Short-Forms, good predictive validity was found for all measures except those that were very rare. Results for even shorter Mini-Forms were mixed, and some will require further research on their reliability and validity. Discussion and Implications. Short-Forms had good psychometric properties and some Mini-Forms did as well. Ongoing adoption by several California counties and Montana demonstrates the viability and sustainability of using the ISO Matrix for research and practice.

Do Residents Participating in Minnesota's Return to Community Initiative Experience Similar Postdischarge Outcomes to Their Peers?

OBJECTIVE: The objective of this study was to evaluate the impact of Minnesota's Return to Community Initiative (RTCI) on postdischarge outcomes for nursing home residents transitioned through the program. DATA SOURCES: Secondary data were from the Minimum Data Set and RTCI staff (January 2015 to December 2016), state Medicaid eligibility files and death records. The sample consisted of 29,201 nursing home discharges in Minnesota occurring in 2015. RESEARCH DESIGN: Cox proportional hazard models were used to compare 1-year postdischarge outcomes of nursing home readmission, mortality, and Medicaid conversion for RTCI assisted community discharges and a propensity-matched sample of unassisted community discharges. RESULTS: The majority (60%) of RTCI assisted discharges remained alive, in the community and not having converted at Medicaid at 1 year after discharge. Time to mortality was significantly lower for the assisted group than the unassisted group, but time to readmission and Medicaid conversion were similar. CONCLUSION: The RTCI assisted residents fared well postdischarge in their time to mortality, nursing home readmission, and Medicaid conversion; they lived longer than a propensity-matched sample of their peers.

Can standardized measures provide helpful feedback about adult protective services substantiation? Pilot data from a short self-neglect assessment.

Can standardized assessment contribute to improving Adult Protective Services (APS) practice? In this exploratory study, San Francisco and Napa APS utilized a newly developed short self-neglect assessment to test how standardized measures provide information for substantiation decision making. Findings demonstrated satisfactory reliability and validity for the short self-neglect assessment, and analyses revealed important issues that could improve practice. Review of outliers revealed: (1) problems using the assessment tool, (2) misunderstandings of APS procedures, and (3) struggles navigating the case management system. These revelations could all be easily addressed in training. Caseworker's clinical judgment and experience also continue to have a place in complementing the use of the standardized assessment.

Individual health outcomes secondary to a nurse-led coalition-based health promotion program for underserved diverse populations.

OBJECTIVE: This study describes the impact of various levels of participation in a nurse-led coalition-based wellness program on participant outcomes related to body mass index, blood pressure, diabetes risk, and lifestyle behaviors in a Midwest rural county. DESIGN: This descriptive study used de-identified data collected by program staff over a 26-month period to evaluate participant outcomes. SAMPLE: Participants were predominantly female with a mean age of 49 years; 41% identified as Hispanic. MEASUREMENTS/ANALYSIS: Lifestyle behavior surveys and biometric screenings were used to collect data. Latent Growth Class Analysis and logistic regression were used to analyze the data. INTERVENTION: Monthly wellness programming including screenings, health education and referrals were provided to participants at various sites in a rural community. RESULTS: Over a 26-month period, 3,004 visits were made by 820 participants. Four clusters for participants (n = 287) who had made three visits or more were identified, providing insight into meaningful interindividual differences for repeat participants. Overall, repeat participants either maintained or improved their blood pressure over time. Indirect outcomes including policy, system, and environmental changes were also noted. CONCLUSIONS: Coalitions can positively affect the health of populations through these types of programs at the individual and population level.

The modeling of medical expenditure data from a longitudinal survey using the generalized method of moments (GMM) approach.

Medical expenditure data analysis has recently become an important problem in biostatistics. These data typically have a number of features making their analysis rather difficult. Commonly, they are heavily right-skewed, contain a large percentage of zeros, and often exhibit large numbers of missing observations because of death and/or the lack of follow-up. They are also commonly obtained from records that are linked to large longitudinal data surveys. In this manuscript, we suggest a novel approach to modeling these data through the use of generalized method of moments estimation procedure combined with appropriate weights that account for both dropout due to death and the probability of being sampled from among the National Long Term Care Survey (NLTCS) subjects. This approach seems particularly appropriate because of the large number of subjects relative to the length of observation period (in months). We also use a simulation study to compare our proposed approach with and without the use of weights. The proposed model is applied to medical expenditure data obtained from the 2004-2005 NLTCS-linked Medicare database. The results suggest that the amount of medical expenditures incurred is strongly associated with higher number of activities of daily living (ADL) disabilities and self-reports of unmet need for help with ADL disabilities. Copyright © 2016 John Wiley & Sons, Ltd.

Seizure prediction in stroke survivors who experienced an infection at skilled nursing facilities-a machine learning approach.

Background: Infections and seizures are some of the most common complications in stroke survivors. Infections are the most common risk factor for seizures and stroke survivors that experience an infection are at greater risk of experiencing seizures. A predictive model to determine which stroke survivors are at the greatest risk for a seizure after an infection can be used to help providers focus on prevention of seizures in higher risk residents that experience an infection. Methods: A predictive model was generated from a retrospective study of the Long-Term Care Minimum Data Set (MDS) 3.0 (2014-2018, n = 262,301). Techniques included three data balancing methods (SMOTE for up sampling, ENN for down sampling, and SMOTEENN for up and down sampling) and three feature selection methods (LASSO, Recursive Feature Elimination, and Principal Component Analysis). One balancing and one feature selection technique was applied, and the resulting dataset was then trained on four machine learning models (Logistic Regression, Random Forest, XGBoost, and Neural Network). Model performance was evaluated with AUC and accuracy, and interpretation used SHapley Additive exPlanations. Results: Using data balancing methods improved the prediction performances of the machine learning models, but feature selection did not remove any features and did not affect performance. With all models having a high accuracy (76.5%-99.9%), interpretation on all four models yielded the most holistic view. SHAP values indicated that therapy (speech, physical, occupational, and respiratory), independence (activities of daily living for walking, mobility, eating, dressing, and toilet use), and mood (severity score, anti-anxiety medications, antidepressants, and antipsychotics) features contributed the most. Meaning, stroke survivors who received fewer therapy hours, were less independent, had a worse overall mood were at a greater risk of having a seizure after an infection. Conclusion: The development of a tool to predict seizure following an infection in stroke survivors can be interpreted by providers to guide treatment and prevent complications long term. This promotes individualized treatment plans that can increase the quality of resident care.

Positive Affect and Physical Activity Associations in Women and Their Spouses.

BACKGROUND: Only 21% of U.S. women meet the recommended physical activity guidelines, placing them at increased risk for long-term conditions such as heart disease and diabetes. Physical activity is influenced by individual and interpersonal factors (e.g., romantic partners). Individual factors, such as positive affect, are associated with lower mortality risk and improved health behaviors. OBJECTIVES: This secondary data analysis, guided by Fredrickson's Broaden and Build Theory, aims to examine the relationship between positive affect of married women (n = 115 couples) and their physical activity behavior on the same- and next- day, while also considering their spouses' positive affect. METHODS: Two population average models assessed the relationship of calm and happy (positive affect) to physical activity. Physical activity was assessed as the sum of the minutes of moderate-to-vigorous physical activity (MVPA) over the prior 24 hours. Covariates of age, baseline activity frequency, education, marital quality, and race/ethnicity were also included. RESULTS: Women's happiness (ß = 0.15, p < .005), not calmness (ß = -0.03, p = .60), was found to have a significant association with same-day MVPA. Spouses' happiness (ß = 0.11, p = .045) was significantly associated with women's next-day MVPA while their calmness (ß = -0.04, p = .44) was not. CONCLUSIONS: The results of this study support that incorporating positive affect could be valuable for improving physical activity behaviors. Spouse reports provide additional context to consider in physical activity promotion research.

Application of the PERMA Model of Well-being in Undergraduate Students.

The PERMA model was introduced by Seligman in 2011 to increase and measure well-being. This model defines well-being in terms of Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment (PERMA). Mental health concerns are common in undergraduate students and may prevent them from obtaining optimal well-being. The purpose of this study was to test whether all five PERMA elements of well-being could be constructed from items within the 2018 Purdue University Student Experience at a Research University (SERU) survey. Using confirmatory factor analysis, all five PERMA constructs were supported and demonstrated good model fit statistics. A second order PERMA well-being construct was built and demonstrated adequate model fit with RMSEA = 0.04. All five constructs were significant at p < .001. Accomplishment had the highest factor loading (0.76) and Meaning had the lowest factor loading (0.25). Results for this study support use of well-being theory in the context of undergraduate students and provides enhanced understanding of well-being characteristics in this population.

Ownership Change and Care Quality: Lessons From Minnesota's Experience With Value-Based Purchasing.

Background and Objectives: Minnesota's implementation of a new nursing home value-based reimbursement (VBR) system in 2016 presented an opportunity to compare the response of nursing homes (NHs) to financial incentives to improve their quality and efficiency. The state substantially increased reimbursement for care-related costs and tied this rate increase to a composite quality score. Coinciding with rate increases of the new VBR system was an increase in ownership changes, with new owners being primarily for-profit entities from outside of Minnesota, including several private equity firms. Our objective was to examine NHs that underwent a change in ownership to determine their cost and quality response to the change. Research Design and Methods: Our sample consists of 342 Minnesota NHs that submitted Medicaid cost reports each year from 2013 to 2019. A time differential two-way fixed-effects difference-in-difference model is used to assess changes in quality metrics by comparing measures in years prior to and years following the sale for NHs that changed ownership versus NHs with consistent ownership. Nursing home characteristics, revenue, and spending patterns are examined to understand differences in performance. Results: Those NHs with ownership change experienced a decline in quality scores with notable changes to expenditure patterns. They performed worse on Minnesota Department of Health inspection scores and had nonsignificant declines in measures of quality of life and clinical care. They had declining staff dental and medical benefits and occupancy rates, greater revenue growth from Medicare Part B, and larger increases in administrative management fees. Discussion and Implications: Minnesota like many other states has given wide latitude for nursing home ownership changes, without specific oversight for the quality of care and expenditure patterns of new owners. Recommendations include strict guidelines for the transparency of ownership structures, quality performance targets, rigorous financial auditing, and enhanced regulatory oversight.

Understanding the Development, Evaluation, and Sustainability of Community Health Networks Using Social Network Analysis: A Scoping Review.

OBJECTIVE: Identify the scope of the literature which reports use of social network analysis to inform, support, or evaluate health promotion-focused community network/partnership development. DATA SOURCE: A comprehensive search (not date-limited) of PubMed, CINAHL, Web of Science Core Collection, PsycInfo, and the Cochrane Library Database for Systematic Reviews. INCLUSION AND EXCLUSION CRITERIA: Criteria for inclusion included published in the English language and used social network analysis to inform, support, or evaluate development of community networks/partnerships aiding health promotion efforts. Studies were excluded if they did not use social network analysis or were not focused upon health promotion. DATA EXTRACTION: Three of the four authors extracted data using a summary chart to document information regarding study aims, target issue/population, methods, and key outcomes of the social network analysis. DATA SYNTHESIS: The extracted data were qualitatively analyzed by 3 authors to categorize key social network analysis outcomes into categories. RESULTS: Ninety-seven studies representing 9 geographical regions were included, with the majority (69) published after 2010. Key outcomes included the effectiveness of social network analysis to identify network characteristics, track network change over time, compare similar networks across locations, and correlate network attributes with outcomes. CONCLUSION: Findings support the utility of social network analysis to inform, support, and evaluate development of sustainable health promotion-focused networks/partnerships.

Examining Adult Protective Services Outcomes: Services Associated With the Decrease of Mistreatment Differed by Elder Mistreatment Type.

BACKGROUND AND OBJECTIVES: Adult Protective Services (APS) are the frontline agencies investigating elder mistreatment and providing/coordinating postinvestigation services. Yet, their effectiveness in reducing different types of mistreatment in relation to services is unknown. This study aimed to address the knowledge gap by identifying services provided by mistreatment type, and examining the associations of services with mistreatment reduction. RESEARCH DESIGN AND METHODS: A pretest-post-test design was implemented using the Identification, Services, and Outcomes (ISO) Matrix to assess mistreatment levels during case investigation and at case closure after services were provided. San Francisco and Napa APS participated in a 6-month data collection. RESULTS: The 4 most prevalent types of mistreatment were examined: emotional, physical, financial abuse, and neglect by others. On average, level of mistreatment decreased across mistreatment types after APS intervention. Care/case management, mental health, and other services were most common, while specific services differed depending on type of mistreatment. Care/case management services were associated with physical and emotional abuse reduction, legal services further correlated with emotional abuse reduction; financial planning services were associated with financial abuse reduction; care/case management and other services were associated with neglect reduction. DISCUSSION AND IMPLICATIONS: This is the first study to address APS services by mistreatment type and the outcomes of services. Adoption of the ISO Matrix by APS programs opens the possibility of research and practice collaboration in APS outcomes research using a standardized approach.

Using a Semi-Markov Model to Estimate Medicaid Cost Savings due to Minnesota's Return to Community Initiative.

OBJECTIVES: To provide an estimate and level of uncertainty for Medicaid cost savings due to Minnesota's Return to Community Initiative (RTCI). DESIGN: Medicaid cost savings are estimated using a semi-Markov model and simulation approach. SETTING AND PARTICIPANTS: RTCI is a statewide program that assists private paying nursing home residents with discharge to the community. When originally proposed, it was expected that the program would reduce state Medicaid expenditures, primarily through the shifting of residents from nursing homes to a less costly community setting. In prior analysis, we estimated that approximately 1 in 9 residents targeted for transition by the program would not have returned to the community without the RTCI. Accurate cost savings estimates require consideration of complex resident care trajectories, that is, nursing home readmissions, use of assisted living and community-based services, and mortality. MEASURES: Data were from 30,234 private pay nursing home residents admitted during 2011, primarily for post-acute stays, to 378 facilities in Minnesota, and followed for 4 years postadmission for outcomes and time to event. Resident characteristics were taken from the Minimum Data Set (MDS) admission assessment. We modeled variability in care trajectories with a semi-Markov formulation. Transition probabilities were estimated using Multinomial regression. Time to event was modeled using the best-fitting, positive, right-skewed distribution for each path. The simulation was run (1000 times) with and without the RTCI impact to estimate change in Medicaid days in various settings. RESULTS: Program savings was estimated at $4.1 million per year of effort over a 4-year accumulation period. CONCLUSIONS AND IMPLICATIONS: The RTCI produced a modest Medicaid cost savings in excess of the annual program budget of $3.5 million. Findings from the semi-Markov model and simulation increase our understanding of care transitions between nursing home, community, Medicaid status, and mortality.

Influence of Affect on Physical Activity: An Integrative Review.

Affective states, such as feelings of anger and excitement, are linked to health outcomes and behaviors. The benefits of physical activity for individual affect is known; however, how affect influences physical activity participation is less understood. Using Whittemore and Knafl's framework, this integrative review examines the influence of affect on adult physical activity. using six databases, 19 articles published between 1997 and 2019. Themes found include support for the influence of positive affect on increased physical activity, a temporal aspect of affect, a variety of measurement tools, and varying uses of theoretical frameworks across studies. Advanced practice nurses and registered nurses may improve patient health behaviors, such as physical activity, by incorporating affect-focused assessments. Review findings support consideration of affect in physical activity counseling. Further research using theory-driven methods and consistent affect assessments is needed to test the complex relationship between affect and physical activity.

Shall I Stay or Shall I Go? The Choice to Remain in the Nursing Home Among Residents With High Potential for Discharge.

Minnesota's Return to Community Initiative (RTCI) assists private-pay nursing home (NH) residents to return to the community. Using data from a 1-year admission cohort of RTCI-targeted NH residents, we examined why residents who at admission expressed a desire for discharge, were paying privately, and had relatively low-care needs chose to remain in the NH. Characteristics of those who remained were compared with those who discharged using logistic regression, and barriers to discharge were summarized. Residents who were older, more cognitively impaired (OR = 1.8), unmarried (OR = 1.4), had behavior problems (OR = 1.6), or diagnosed with dementia (OR = 2.0) were more likely to remain than discharge to the community. Between admission and their 90-day assessment, residents remaining in the facility had a small decline in cognitive status, yet their continence improved and they became more independent in activities of daily living (ADLs). Seventy-four percent reported a perception of health-related barriers to discharge.

Assessing the impact of Minnesota's return to community initiative for newly admitted nursing home residents.

OBJECTIVE: To evaluate Minnesota's Return to Community Initiative's (RTCI) impact on community discharges from nursing homes. DATA SOURCES: Secondary data were from the Minimum Data Set and RTCI staff (April 2014 - December 2016). The sample consisted of 18 444 non-Medicaid nursing home admissions in Minnesota remaining for at least 45 days, with high predicted probability of community discharge. STUDY DESIGN: The RTCI facilitates community discharge for non-Medicaid nursing home residents by assisting with discharge planning, transitioning to the community, and postdischarge follow-up. A key evaluation question is how many of those transitions were directly attributable to the program. Return to Community Initiative was implemented statewide without a control group. Program impact was measured using regression discontinuity, a quasi-experimental design approach that leverages the programs targeting model. PRINCIPAL FINDINGS: Return to Community Initiative increased community discharge rates by an estimated 11 percent (P < 0.05) for the targeted population. The program effect was robust to time and increased with level of facility participation in RTCI. CONCLUSIONS: The RTCI had a modest yet significant impact on the community discharge rates for its targeted population. Findings have been applied in strengthening the RTCI's targeting approach and transitioning process.

A Longitudinal Examination of the Impact of Major Life Events on Physical Activity.

BACKGROUND: Despite promotion of physical activity guidelines, less than one third of U.S. adults are sufficiently active and an even larger number of older adults fail to meet guidelines. To address this major public health issue, it is essential to broadly consider determinants of physical activity. AIMS: This study explores how physical activity behavior is affected by the experience of major life events and considers the stress experienced due to these events across the life course. METHOD: Nationally representative panel data from the Americans' Changing Lives survey (1986-2012) was used to analyze a growth model with age-based trajectories to examine the relationship between major life events and physical activity overall and separately by gender and race. RESULTS: In the overall sample, retiring was associated with greater physical activity at baseline. As respondents aged, entering into retirement was associated with decreased physical activity, while a parent or friend dying was associated with greater physical activity. Differences by gender and race were also seen over time. CONCLUSIONS: Results show that when considering physical activity trajectories, experiencing these major life events is not always detrimental, and in some cases may be beneficial. Considering these impacts is important in planning effective health promotion interventions to increase and promote maintenance of physical activity, while paying attention to specific differences by gender and race.

Fall Risk, Supports and Services, and Falls Following a Nursing Home Discharge.

Background and Objectives: Falls are a major source of morbidity and mortality among older adults; however, little is known regarding fall occurrence during a nursing home (NH) to community transition. This study sought to examine whether the presence of supports and services impacts the relationship between fall-related risk factors and fall occurrence post NH discharge. Research Design and Methods: Participants in the Minnesota Return to Community Initiative who were assisted in achieving a community discharge (N = 1459) comprised the study sample. The main outcome was fall occurrence within 30 days of discharge. Factor analyses were used to estimate latent models from variables of interest. A structural equation model (SEM) was estimated to determine the relationship between the emerging latent variables and falls. Results: Fifteen percent of participants fell within 30 days of NH discharge. Factor analysis of fall-related risk factors produced three latent variables: fall concerns/history; activities of daily living impairments; and use of high-risk medications. A supports/services latent variable also emerged that included caregiver support frequency, medication management assistance, durable medical equipment use, discharge location, and receipt of home health or skilled nursing services. In the SEM model, high-risk medications use and fall concerns/history had direct positive effects on falling. Receiving supports/services did not affect falling directly; however, it reduced the effect of high-risk medication use on falling (p < .05). Discussion and Implications: Within the context of a state-implemented transition program, findings highlight the importance of supports/services in mitigating against medication-related risk of falling post NH discharge.

Modeling Community Discharge of Medicaid Nursing Home Residents: Implications for Money Follows the Person.

OBJECTIVE: To build and test a model that predicts community discharge probabilities for Medicaid-eligible nursing home (NH) residents who remain in the nursing home at 90 days after admission and, thus, would be candidates for the Money Follows the Person (MFP) program. DATA SOURCE: The Minimum Data Set, Medicaid Management Information Systems, and Minnesota Vital Statistics file. DATA: Cohort of 33, 590 nursing home stays that qualified for Medicaid by the 90th day of their stay from 383 Minnesota nursing homes from July 2011 to June 2013. STUDY DESIGN: Mixed effects logistic regression model to predict community discharge. PRINCIPAL FINDINGS: The scoring system had a high level of accuracy in predicting community discharge for both the fitting and validation cohorts. Subpopulations with severe mental illness or intellectual disability were well represented across the entire score range. CONCLUSIONS: Findings are being applied in the Minnesota's MFP initiative (Moving Home Minnesota) to target Medicaid-eligible NH residents for transitioning to the community. This approach could be applied to MFP in other states.