Impact of an automated, remote monitoring and coaching intervention in reducing hospice cancer family caregiving burden: A multisite randomized controlled trial.

BACKGROUND: Care for those with life-limiting cancer heavily involves family caregivers who may experience significant physical and emotional burden. The purpose of this study was to test the impact of Symptom Care at Home (SCH), an automated digital family caregiver coaching intervention, during home hospice, when compared to usual hospice care (UC) on the primary outcome of overall caregiver burden. Secondary outcomes included Caregiver Burden at weeks 1 and 8, Mood and Vitality subscales, overall moderate-to-severe caregiving symptoms, and sixth month spouse/partner bereavement outcomes. METHODS: Using a randomized, multisite, nonblinded controlled trial, 332 cancer family caregivers were enrolled and analyzed (159 SCH vs. 173 UC). Caregivers were primarily White (92%), female (69%), and spouse caregivers (53%). Caregivers provided daily reports on severity levels (0-10 scale) for their anxiety, depressed mood, fatigue, disturbed sleep, and caregiving interference with normal activities. These scores combined constituted the Caregiver Burden primary outcome. Based on reported symptoms, SCH caregivers received automated, tailored coaching about improving their well-being. Reports of moderate-to-severe caregiving symptoms also triggered hospice nurse notification. Secondary outcomes of Mood and Vitality were subcomponents of the Caregiver Burden score. A combined bereavement adjustment tool captured sixth month bereavement. RESULTS: The SCH intervention reduced overall Caregiver Burden compared to UC (p < .001), with a 38% reduction at 8 weeks and a medium-to-large effect size (d = .61). SCH caregivers experienced less (p < .001) disruption in both Mood and Vitality. There were higher levels of moderate-to-severe caregiving symptoms overtime in UC (OR, 2.722). All SCH caregivers benefited regardless of caregiver: sex, caregiver relationship, age, patient diagnosis and family income. SCH spouse/partner caregivers achieved better sixth month bereavement adjustment than UC (p < .007). CONCLUSIONS: The SCH intervention significantly decreased caregiving burden over UC and supports the maintenance of family caregiver mood and vitality throughout caregiving with extended benefit into bereavement.

The Utility of Nursing Notes Among Medicare Patients With Heart Failure to Predict 30-Day Rehospitalization: A Pilot Study.

BACKGROUND: For patients with heart failure (HF), there have been efforts to reduce the risk of 30-day rehospitalization, such as developing predictive models using electronic health records. Few previous studies used clinical notes to predict 30-day rehospitalization. OBJECTIVE: The aim of this study was to assess the utility of nursing notes versus discharge summaries to predict 30-day rehospitalization among patients with HF. METHODS: In this pilot study, we used free-text discharge summaries and nursing notes collected from a tertiary hospital. We randomly selected 500 Medicare patients with HF. We followed the natural language processing and machine learning pipeline for data analysis. RESULTS: Thirty-day rehospitalization risk prediction using discharge summaries (n = 500) produced an area under the receiver operating characteristic curve of 0.74 (Bag of Words + Neural Network). Thirty-day rehospitalization risk prediction using nursing notes (n = 2046) resulted in an area under the receiver operating characteristic curve of 0.85 (Bag of Words + Neural Network). CONCLUSION: Nursing notes provide a superior input to risk models for 30-day rehospitalization in Medicare patients with HF compared with discharge summaries.

Factors Associated with Depression in African American Patients Being Treated for Cancer Pain.

BACKGROUND: Among cancer patients in the United States, African American cancer patients have the highest mortality rate and shortest survival rate. Although depression is known as a predictor of mortality in cancer and a potential barrier to health care utilization, research on depression in African American patients is limited. Cancer pain can interfere with an individual's ability to cope with depression. AIMS: To identify factors that are associated with a positive screening of depressive symptoms assessed by the PHQ-8 in African American patients treated for cancer pain. DESIGN: Secondary data analysis of a cross-sectional study of opioid adherence. SETTING: Medical oncology, palliative care, and radiation oncology clinics in Atlanta, Georgia. PARTICIPANTS/SUBJECTS: African American patients with cancer pain in the parent study. METHODS: Independent samples t-test was used to assess variable correlations with and without depressive symptoms. Adjusted logistic regression was conducted to identify factors that were associated with presence of depressive symptoms. RESULTS: Mean patient age was 55.6 years, and nearly 38% had a PHQ-8 score of >10 indicating presence of moderate to severe depressive symptoms. Participants with depressive symptoms had significantly higher means for anxiety and pain interference with mood than those without depressive symptoms. Factors that were significantly associated with depressive symptoms were anxiety, pain interfering with mood, and lack of involvement with a religious congregation. CONCLUSIONS: The findings of this study help to identify African American cancer patients at risk for depression and demonstrates the need for increased screening for depression in this underserved population.

Risk Factors for All-Cause Rehospitalization Among Medicare Recipients with Heart Failure Receiving Telehomecare.

OBJECTIVE: To identify potential risk factors associated with rehospitalization among Medicare recipients with heart failure (HF) receiving telehomecare. MATERIALS AND METHODS: This study is a nonexperimental, cross-sectional secondary data analysis of the Centers for Medicare and Medicaid (CMS) mandated assessment called the Outcome and Assessment Information Set (OASIS)-C, provided by a large home care company. A total of 526 patients who received telehomecare from January 1, 2011 to August 31, 2013 were included in the analyses, which used multiple logistic regression. RESULTS: The overall rate of rehospitalization was 36% while patients were receiving telehomecare. Moderately frail health status (p = 0.01), the presence of severe pain (p = 0.01), the presence of dermatologic problems (p = 0.03), and independence in dressing one's lower body (compared to slightly dependent [p = 0.01] or mostly dependent patient groups [p = 0.02]) were identified as risk factors for rehospitalization. CONCLUSIONS: The risk factors identified from this study may be used to drive more effective telehomecare placements, and referrals for additional services among telehomecare patients with HF.

Pathway to better patient care and nurse workforce outcomes in home care.

BACKGROUND: Unlike the Magnet Recognition Program, the newer Pathway to Excellence Program designed to improve work environments in a broader range of organizations has not yet been the focus of substantial research. PURPOSE: The purpose of the study was to examine the association of Pathway to Excellence Program Standards with better patient care quality and workforce outcomes in home care. METHOD: Cross-sectional survey of registered nurses yielded informants from 871 home care agencies in the United States. Variables representing each of the 12 Pathway Standards were entered into logistic regression models to determine associations with better patient care and nurse workforce outcomes. DISCUSSION: All Pathway Standards are strongly and significantly associated with better patient care and better workforce outcomes. Home care agencies with better-rated professional work environments consistently had better patient care and nurse workforce outcomes. CONCLUSIONS: This study validates the Pathway to Excellence Standards as important to patient care quality and nursing workforce outcomes in home care.

Utilizing Home Healthcare Electronic Health Records for Telehomecare Patients With Heart Failure: A Decision Tree Approach to Detect Associations With Rehospitalizations.

Heart failure is a complex condition with a significant impact on patients' lives. A few studies have identified risk factors associated with rehospitalization among telehomecare patients with heart failure using logistic regression or survival analysis models. To date, there are no published studies that have used data mining techniques to detect associations with rehospitalizations among telehomecare patients with heart failure. This study is a secondary analysis of the home healthcare electronic medical record called the Outcome and Assessment Information Set-C for 552 telemonitored heart failure patients. Bivariate analyses using SAS and a decision tree technique using Waikato Environment for Knowledge Analysis were used. From the decision tree technique, the presence of skin issues was identified as the top predictor of rehospitalization that could be identified during the start of care assessment, followed by patient's living situation, patient's overall health status, severe pain experiences, frequency of activity-limiting pain, and total number of anticipated therapy visits combined. Examining risk factors for rehospitalization from the Outcome and Assessment Information Set-C database using a decision tree approach among a cohort of telehomecare patients provided a broad understanding of the characteristics of patients who are appropriate for the use of telehomecare or who need additional supports.

Physical activities and sleep-related symptoms in 4 major racial/ethnic groups of midlife women.

The purpose of this study was to determine racial/ethnic differences in midlife women's sleep-related symptoms, relationships between their physical activity and sleep-related symptoms, and specific factors associated with their sleep-related symptoms in each racial/ethnic group. This was a secondary analysis of the data from 542 midlife women in the United States. The data were analyzed using descriptive statistics, χ tests, analysis of variance, hierarchical multiple linear regression analyses, and logistic regression analyses. The findings indicated that physical activities could improve midlife women's sleep-related symptoms, but the types of physical activities and racially/ethnically different factors associated with sleep-related symptoms need to be considered.

Developing 60-Day Readmission Risk Score among Home Healthcare Patients with Heart Failure.

Heart failure (HF) readmissions are common, costly, and often preventable. Despite the implementation of HF programs across clinical settings, rehospitalization is still common. Efforts to identify risk factors for 60-day rehospitalization among HF patients exist, but risk scoring has not been utilized in home healthcare. The purpose of this study was to develop a 60-day rehospitalization risk score for home care patients with HF. This study is a secondary data analysis of a retrospective cross-sectional dataset that was composed of data using the Outcome Assessment Information Set (OASIS)-C version for patients with HF. We computed the Charlson Comorbidity Index (CCI) to use as a confounder. The risk score was computed from the final logistic regression model regression coefficients. The median age was 78 years old, 45.4% were male, and 81.0% were White. We identified 10 significant risk factors including CCI score. The risk score achieved a c-statistic of 0.70 in this patient sample. This risk score could prove useful in clinical practice for guiding attention and decision-making for personalized care of patients with unrecognized or under-treated health needs.

Pain in Homebound Older Adults with Heart Failure after Hospital Discharge.

Pain is not uncommon in older adult patients with heart failure (HF) and has been identified as a risk factor for rehospitalization of homebound patients with HF. Little is known about the pain experiences and management of older adults with HF after hospital discharge. We sought to describe pain and other symptoms among homebound older adults with HF using a qualitative and descriptive approach. We conducted semistructured interviews to obtain qualitative data and used the Brief Pain Instrument-Short Form and the Edmonton Symptom Assessment Scale to obtain descriptive data on symptom burden. We interviewed 18 participants within 10 days after hospital discharge. Participants' mean age was 75.8 ± 9.0 years; 78% were White. The mean pain score at its worst was 5.2 ± 3.1, and for pain interfering with sleep was 4.3 ± 3.41. Most participants managed pain with medications. Using thematic analysis of qualitative data, we identified three distinct categories: (1) the diversity of patients' pain experiences, (2) the diversity of pain management routines, and (3) patients' experiences with healthcare providers' pain assessment and management practices. Our findings show that homebound older adults with HF experience various pain symptoms and receive inconsistent education about how to manage pain from healthcare providers. This study supports the need for better pain assessment and education about the appropriate use of pain medications and nonpharmacologic approaches to pain control for homebound older adults with HF.

Home Healthcare Nursing Visits for Nonhomebound Patients With Heart Failure After Hospital Discharge: A Quality-Improvement Pilot Project.

Frequent rehospitalizations among patients with heart failure (HF) result in patient burden and high cost. Homebound patients with HF qualify for home healthcare after hospital discharge. It is not known if nonhomebound patients with HF could also benefit from home healthcare nursing (HHN) visits to improve the transition from hospital to home. The purpose of this quality-improvement pilot study was to assess the impact of HHN visits provided to nonhomebound HF patients after hospital discharge on 30-day rehospitalization rates. We included patients with HF who were ineligible for home healthcare services due to their nonhomebound status. Home healthcare nurses followed a modified version of the discharge checklist from the American Heart Association's Rise Above Heart Failure materials, and provided education as appropriate based on patients' responses. We enrolled 68 patients in the study. The mean age was 60.2 years; 61.8% were male and 77.9% were White. Based on patient responses to the checklist, key areas addressed during HHN visits were medication management and HF self-care. In the HHN visit group, 15% of the patients experienced rehospitalization within 30 days, compared with 23% in the non-HHN visit group among 540 patients discharged in the same time frame who met the inclusion criteria but were not enrolled in the study (p = .12). Our pilot data show that HHN visits for nonhomebound patients are feasible and result in a numerically lower 30-day rehospitalization rate after discharge. Further study is needed to confirm the clinical efficacy of this approach.

Identifying Targets to Improve Heart Failure Outcomes for Patients Receiving Home Healthcare Services: The Relationship of Functional Status and Pain.

Heart failure (HF) is one of the leading causes of rehospitalization in the United States. Due to the complex nature of HF, the provision of Medicare-certified home healthcare services has increased. Medicare-certified home healthcare agencies measure and report patients' outcomes such as functional status, activities of daily living (ADL), and instrumental activities of daily living to the Centers for Medicare and Medicaid Services. These metrics are assessed using the Outcome and Assessment Information Set (OASIS). As a large data set, OASIS has been used to advance care quality in multiple ways including identifying risk factors for negative patient outcomes. However, there is a lack of OASIS analyses to assess the relationship between functional status and the role of other factors, such as pain, in impeding recovery after hospitalization among HF patients. Therefore, the purpose of this study is to identify the relationship between functional status and pain using the OASIS database. Among 489 HF patients admitted to home healthcare, 83% were White, 57% were female, and the median age was 80. Patients who reported daily but not constant activity-interfering pain at discharge demonstrated the least improvement in functional performance as measured by ADLs, whereas patients without activity-interfering pain demonstrated the greatest improvement in ADL performance (p value = 0.0284). Tracking individual patient ADL scores, particularly the frequency of activity-interfering pain, could be a key indicator for clinical focus for patients with HF in the home healthcare setting.

Home Care Nurses' Perspectives Regarding Health Information Management Among Older Adults.

Aging is associated with comorbidities and increased utilization of healthcare services, which results in a large amount of personal health information (PHI) to manage. Older adults often have difficulty managing this increased load of health information. Although many home healthcare nurses (HCNs) provide assistance to older adults after discharge from medical facilities, little is known about HCNs' experiences with older adults regarding the management and transfer of PHI in their homes. The purpose of this qualitative study was to 1) determine how HCNs obtain and provide health information, 2) describe the perspective of HCNs regarding older adult PHI, and 3) identify the potential role of technology in older adult health information transfer. We conducted and analyzed semistructured phone interviews with 17 HCNs from two home healthcare agencies. Five thematic areas emerged from interviews with HCNs: 1) common practices of obtaining health information; 2) barriers to obtaining health information; 3) ideal ways to obtain and provide health information; 4) use of patient portals; and 5) HCNs' use of technology for health information exchange. Most HCNs reported that it would be difficult for older adult patients to update their PHI without assistance, but HCNs lack the time and resources to assist older adults in PHI management activities.

Self-report pain assessment tools for cognitively intact older adults: Integrative review.

BACKGROUND: Pain is common in older adults, but it is often underreported or undertreated partly because many consider pain to be a normal consequence of ageing. Among the plethora of available self-report pain assessment tools, there is no synthetised evidence which tools are indicated for use among cognitively intact older adults. PURPOSE OF THE STUDY: To understand documented self-report pain assessment tools that have been used among cognitively intact older adults, and to describe their characteristics including overall performance as well as studies demonstrating their use. METHODS: A systematic search of the indexed databases PubMed, PsycINFO and Cumulative Index to Nursing and Allied Health Literature (CINAHL Plus) was conducted to identify documented self-report pain assessment tools through peer-reviewed papers, including citations from January 1990 to December 2015. Thirty-five percentage of abstracts were independently evaluated by two raters according to specific criteria. RESULTS: Among identified tools, the Iowa Pain Thermometer, the 6-point Verbal Descriptor Scale, the Numeric Rating Scale, the short form Brief Pain Inventory (BPI) and the Geriatric Pain Measure (GPM) may be suitable tools for self-reported pain by cognitively intact older adults based on the statement of the literature. Only two self-report tools (the GPM and the Geriatric Painful Events Inventory) were designed specifically for older adults. CONCLUSIONS: More studies are needed to evaluate pain measures' psychometric performance across different settings, racial/ethnic groups and disease categories. Since 80% of older adults have at least one chronic disease, multidimensional tools such as the GPM may need to be used more often for accurate self-report of pain. IMPLICATIONS FOR PRACTICE: Examining the psychometric properties of comprehensive self-report pain assessment tools informs recommendations for the selection of tools to be used in clinical practice.

Mortality in Advanced Chronic Obstructive Pulmonary Disease and Heart Failure Following Cardiopulmonary Rehabilitation.

Cardiopulmonary rehabilitation (CR) improves physical function and quality of life (QoL) in chronic obstructive pulmonary disease (COPD) and heart failure (HF), but it is unknown if CR improves outcomes in very severe disease. This study's purpose was to describe functional capacity (6-min walk distance [6MWD], steps/day), symptoms (dyspnea, depression), QoL (Short-Form Health Survey-Veterans [SF-36 V]) and cardiopulmonary function ( N-terminal pro-brain natriuretic peptide [NT-proBNP], forced expiratory volume in 1 s [FEV1]), and derive predictors of mortality among patients with severe COPD and HF who participated in CR. METHODS AND RESULTS: In this secondary analysis of a randomized controlled trial comparing two CR methods in severe COPD and HF, 90 (COPD = 63, HF = 27) male veterans, mean age 66 ± 9.24 years, 79% Caucasian, and body mass index 31 kg/m2, were followed for 12 months after CR. The COPD group had greater functional decline than the HF group (6MWD, p = .006). Dyspnea was lower ( p = .001) and QoL higher ( p = .006) in the HF group. Mean NT-proBNP was higher in the HF group at all time points. FEV1 improved over 12 months in both groups ( p = .01). Mortality was 8.9%, 16.7%, and 37.8% at 12, 24, and 60 months, respectively. One-year predictors of mortality were baseline total steps (<3,000/day), 6MWD (<229 meters), and NT-proBNP level (>2,000 mg/pg). CONCLUSIONS: In very severe COPD and HF, risks of mortality over 12 months can predict patients unlikely to benefit from CR and should be considered at initial referral.

Clinician-Targeted Mobile Apps in Palliative Care: A Systematic Review.

BACKGROUND: The availability of smartphone applications has increased rapidly including applications related to palliative care. The scope of these available apps has not been synthesized. OBJECTIVE: The purpose of this study was to identify and review available palliative care-related smartphone applications for clinicians. DESIGN: Smartphone application platform stores, for example, App Store iOS, Google Play Store, Windows App-Microsoft Store, and Blackberry World App store were searched (December 2016) using relevant key words. RESULTS: Forty-six palliative care applications targeting clinicians were identified, including clinical guidelines (n = 17), advance care planning (n = 9), training materials in palliative care (n = 7), and pharmaceutical tools (n = 7), and platforms for distributing current palliative care news, articles, and opinions (n = 6). The majority of the applications were free and available in English. The most common platforms were Android and iOS. CONCLUSIONS: The number of palliative care apps targeting clinicians has increased dramatically for the past five years. However, many apps did not report adequate information to judge the evidence upon which the apps were based.

Visualization approaches to support healthy aging: A systematic review.

BACKGROUND: Health technologies have the potential to support the growing number of older adults who are aging in place. Many tools include visualizations (data visualizations, visualizations of physical representations). However, the role of visualizations in supporting aging in place remains largely unexplored. OBJECTIVE: To synthesize and identify gaps in the literature evaluating visualizations (data visualizations and visualizations of physical representations), for informatics tools to support healthy aging. METHODS: We conducted a search in CINAHL, Embase, Engineering Village, PsycINFO, PubMed, and Web of Science using a priori defined terms for publications in English describing community-based studies evaluating visualizations used by adults aged ≥65 years. RESULTS: Six out of the identified 251 publications were eligible. Most studies were user studies and varied methodological quality. Three visualizations of virtual representations supported performing at-home exercises. Participants found visual representations either (a) helpful, motivational, and supported their understanding of their health behaviors or (b) not an improvement over alternatives. Three data visualizations supported understanding of one's health. Participants were able to interpret data visualizations that used precise data and encodings that were more concrete better than those that did not provide precision or were abstract. Participants found data visualizations helpful in understanding their overall health and granular data. CONCLUSIONS: Studies we identified used visualizations to promote engagement in exercises or understandings of one's health. Future research could overcome methodological limitations of studies we identified to develop visualizations that older adults could use with ease and accuracy to support their health behaviors and decision-making.

Higher 30-day and 60-day readmissions among patients who refuse post acute care services.

OBJECTIVES: To compare patients who accepted ("acceptors") post acute care services (PAC) with those who were offered services and refused ("refusers") in terms of their sociodemographic and clinical characteristics, quality of life, health-related problems, and unmet needs; and to examine the association between refusing PAC services and the risk for 30- and 60-day readmission. STUDY DESIGN: Secondary data analysis from a cross-sectional study. METHODS: Bivariate analysis and logistic regressions were used to examine the association between refusing PAC services and 30- and 60-day readmission. RESULTS: A convenience sample of 495 PAC-referred patients 55 years and older discharged from 2 large academic medical centers in the northeastern United States completed the study questionnaires, with a resulting 28% (n = 139) that refused PAC services. Refusers were significantly younger (average age 68 years vs 73 years; P < .001), as well as more likely to be married (62% vs 46%; P < .001), privately insured (35% vs 18%; P < .001), and with lower risk of mortality/severity of illness. Refusers also had shorter hospital stays (4.8 days vs 7.5 days; P < .001); higher quality of life after discharge (0.83 vs 0.73; P < .001); and fewer unmet needs after discharge. However, refusers had higher 30-day (21% vs 16%; P = .17) and 60-day (31% vs 25%; P = .18) readmission rates; with logistic regression showing about twice-higher odds of 30-day (OR [odds ratio], 2.13; 95% CI, 1.11-3.02; P = .01) and 60-day (OR, 1.8; 95% CI, 1.11-3.02; P = .02) readmission. CONCLUSIONS: PAC refusers are younger, better educated, and healthier, but they have twice-higher odds of 30- and 60-day readmissions, compared with PAC acceptors. Further investigation into reasons for PAC refusal is critical to foster enhanced patient communication regarding PAC services, improve rates of service acceptance, and ultimately decrease readmissions.

Consistency and Accuracy of Multiple Pain Scales Measured in Cancer Patients From Multiple Ethnic Groups.

BACKGROUND: Standardized pain-intensity measurement across different tools would enable practitioners to have confidence in clinical decision making for pain management. OBJECTIVES: The purpose was to examine the degree of agreement among unidimensional pain scales and to determine the accuracy of the multidimensional pain scales in the diagnosis of severe pain. METHODS: A secondary analysis was performed. The sample included a convenience sample of 480 cancer patients recruited from both the Internet and community settings. Cancer pain was measured using the Verbal Descriptor Scale (VDS), the visual analog scale (VAS), the Faces Pain Scale (FPS), the McGill Pain Questionnaire-Short Form (MPQ-SF), and the Brief Pain Inventory-Short Form (BPI-SF). Data were analyzed using a multivariate analysis of variance and a receiver operating characteristic curve. RESULTS: The agreement between the VDS and VAS was 77.25%, whereas the agreement was 71.88% and 71.60% between the VDS and FPS, and VAS and FPS, respectively. The MPQ-SF and BPI-SF yielded high accuracy in the diagnosis of severe pain. Cutoff points for severe pain were more than 8 for the MPQ-SF and more than 14 for the BPI-SF, which exhibited high sensitivity and relatively low specificity. CONCLUSION: The study found substantial agreement between the unidimensional pain scales and high accuracy of the MPQ-SF and the BPI-SF in the diagnosis of severe pain. IMPLICATIONS FOR PRACTICE: Use of 1 or more pain screening tools that have validated diagnostic accuracy and consistency will help classify pain effectively and subsequently promote optimal pain control in multiethnic groups of cancer patients.

Clinical Outcomes in Critically Ill Patients Associated With the Use of Complex vs Weight-Only Predictive Energy Equations.

BACKGROUND: The energy intake goal is important to achieving energy intake in critically ill patients, yet clinical outcomes associated with energy goals have not been reported. METHODS: This secondary analysis used the Improving Nutrition Practices in the Critically III International Nutrition Surveys database from 2007-2009 to evaluate whether mortality or time to discharge alive is related to use of complex energy prediction equations vs weight only. The sample size was 5672 patients in the intensive care unit (ICU) ≥ 4 days and a subset of 3356 in the ICU ≥ 12 days. Mortality and time to discharge alive were compared between groups by regression, controlling for age, sex, admission type, Acute Physiology and Chronic Health Evaluation II score, ICU geographic region, actual energy intake, and obesity. RESULTS: There was no difference in mortality between the use of complex and weight-only equations (odds ratio [OR], 0.90; 95% confidence interval [CI], 0.86-1.15), but obesity (OR, 0.83; 95% CI, 0.71-0.96) and higher energy intake (OR, 0.65; 95% CI, 0.56-0.76) had lower odds of mortality. Time to discharge alive was shorter in patients fed using weight-only equations (hazard ratio [HR], 1.11; 95% CI, 1.01-1.23) in patients staying ≥ 4 days and with greater energy intake (HR, 1.19; 95% CI, 1.06-1.34) in patients in the ICU ≥ 12 days. CONCLUSION: These data suggest that higher energy intake is important to survival and time to discharge alive. However, the analysis was limited by actual energy intake <70% of goal. Delivery of full goal intake will be needed to determine the relationship between the method of determining energy goal and clinical outcomes.

The Psychometric Properties of the Midlife Women's Symptom Index.

OBJECTIVE: To evaluate the psychometric properties of the Midlife Women's Symptom Index (MSI) among four racial/ethnic groups of midlife women in the United States. DESIGN: A secondary data analysis. SETTING: Internet communities/groups. PARTICIPANTS: A total of 494 midlife women with symptoms of menopause who self-reported using an Internet survey and completed all sections of the MSI questionnaire. METHODS: Data were collected from January 1, 2008 to December 31, 2010. The psychometric properties of the MSI were evaluated using measures of internal consistency, item-total correlation coefficients, and discriminant validity. RESULTS: There were statistically significant differences in marital status, employment, income, religion, country of birth, level of education, diagnosed disease, and self-reported health status across the four racial/ethnic groups. The Kuder-Richardson Formula 20 (KR-20) coefficients for the three subscales of the MSI prevalence section (i.e., physical, psychological, and psychosomatic) ranged from 0.58 (psychosomatic symptoms in Whites) to 0.91 (psychological symptoms in Asian Americans). The Cronbach's alpha coefficients for the three subscale scores ranged from 0.60 (psychosomatic symptoms in Whites) to 0.93 (psychological symptoms in Asian Americans). The mean scores of the MSI differed significantly by race/ethnicity among midlife women of each menopausal status, except for the prevalence section of the psychosocial symptoms. CONCLUSION: The MSI has demonstrated an acceptable reliability and appropriate discriminant validity across the four racial/ethnic groups, except in the domain of psychosomatic symptoms. Health care providers as well as researchers could use the MSI to assess the symptoms of menopause of midlife women from diverse racial/ethnic backgrounds.