The Role of Subjective Age in Predicting Post-Hospitalization Outcomes of Older Adults.

INTRODUCTION: Studies of community-dwelling older adults find subjective age affects health and functional outcomes. This study explored whether younger subjective age serves as a protective factor against hospital-associated physical, cognitive, and emotional decline, well-known consequences of hospitalization among the elderly. METHODS: This study is a secondary data analysis of a subsample (N = 262; age: 77.5 ± 6.6 years) from the Hospitalization Process Effects on Mobility Outcomes and Recovery (HoPE-MOR) study. Psychological and physical subjective age, measured as participants' reports on the degree to which they felt older or younger than their chronological age, was assessed at the time of hospital admission. Independence in activities of daily living, life-space mobility, cognitive function, and depressive symptoms were assessed at hospital admission and 1 month post-discharge. RESULTS: The odds of decline in cognitive status, functional status, and community mobility and the exacerbation of depressive symptoms were significantly lower in those reporting younger vs. older psychological subjective age (odds ratio [OR] = 0.68, 95% CI = 0.46-0.98; OR = 0.59, 95% CI = 0.36-0.98; OR = 0.64, 95% CI = 0.44-0.93; OR = 0.64, 95% CI = 0.43-0.96, respectively). Findings were significant after controlling for demographic, functional, cognitive, emotional, chronic, and acute health predictors. Physical subjective age was not significantly related to post-hospitalization outcomes. CONCLUSION: Psychological subjective age can identify older adults at risk for poor hospitalization outcomes and should be considered for preventive interventions.

Still WALKing-FOR: 2-year sustainability of the 'WALK FOR' intervention.

BACKGROUND: low mobility of hospitalised older adults is associated with adverse outcomes and imposes a significant burden on healthcare and welfare systems. Various interventions have been developed to reduce this problem; at present, however, their methodologies and outcomes vary and information is lacking about their long-term sustainability. This study aimed to evaluate the 2-year sustainability of the WALK-FOR (walking for better outcomes and recovery) intervention implemented by teams in acute care medical units. METHODS: a quasi-experimental three-group comparative design (N = 366): pre-implementation, i.e. control group (n = 150), immediate post-implementation (n = 144) and 2-year post-implementation (n = 72). RESULTS: mean participant age was 77.6 years (± 6 standard deviation [SD]) and 45.3% were females. We conducted an analysis of variance test to evaluate the differences in primary outcomes: number of daily steps and self-reported mobility. Levels of mobility improved significantly from the pre-implementation (control) group to the immediate and 2-year post-implementation groups. Daily step count: pre-implementation (median: 1,081, mean: 1,530 SD = 1,506), immediate post-implementation (median: 2,225, mean: 2,724. SD = 1,827) and 2-year post-implementation (median: 1,439, mean: 2,582, SD = 2,390) F = 15.778 P < 0.01. Self-reported mobility: pre-implementation (mean:10.9, SD = 3.5), immediate post-implementation (mean: 12.4, SD = 2.2), 2-year post-implementation (mean: 12.7, SD = 2.2), F = 16.250, P < 0.01. CONCLUSIONS: the WALK-FOR intervention demonstrates 2-year sustainability. The theory-driven adaptation and reliance on local personnel produce an effective infrastructure for long-lasting intervention. Future studies should evaluate sustainability from a wider perspective to inform further in-hospital intervention development and implementation.

Shared and distinct factors underlying in-hospital mobility of older adults in Israel and Denmark (97/100).

BACKGROUND: Low in-hospital mobility is widely acknowledged as a major risk factor in acquiring hospital-associated disabilities. Various predictors of in-hospital low mobility have been suggested, among them older age, disabling admission diagnosis, poor cognitive and physical functioning, and pre-hospitalization mobility. However, the universalism of the phenomena is not well studied, as similar risk factors to low in-hospital mobility have not been tested. METHODS: The study was a secondary analysis of data on in-hospital mobility that investigated the relationship between in-hospital mobility and a set of similar risk factors in independently mobile prior to hospitalization older adults, hospitalized in acute care settings in Israel (N = 206) and Denmark (N = 113). In Israel, mobility was measured via ActiGraph GT9X and in Denmark by ActivPal3 for up to seven hospital days. RESULTS: Parallel multivariate analyses revealed that a higher level of community mobility prior to hospitalization and higher mobility ability status on admission were common predictors of a higher number of in-hospital steps, whereas the longer length of hospital stay was significantly correlated with a lower number of steps in both samples. The risk of malnutrition on admission was associated with a lower number of steps, but only in the Israeli sample. CONCLUSIONS: Despite different assessment methods, older adults' low in-hospital mobility has similar risk factors in Israel and Denmark. Pre-hospitalization and admission mobility ability are robust and constant risk factors across the two studies. This information can encourage the development of both international standard risk evaluations and tailored country-based approaches.

Identifying patients in need of palliative care: Adaptation of the Necesidades Paliativas CCOMS-ICO© (NECPAL) screening tool for use in Israel.

OBJECTIVES: The Necesidades Paliativas CCOMS-ICO© (NECPAL) screening tool was developed to identify patients in need of palliative care and has been used in Israel without formal translation, reliability testing, or validation. Because cultural norms significantly affect subscales such as social vulnerability and health-care delivery, research is needed to comprehensively assess the NECPAL's components, adapt it, and validate it for an Israeli health-care setting. This study linguistically and culturally translated the NECPAL into Hebrew to examine cultural and contextual acceptability for use in the Israeli geriatric health sector. The newly adapted tool was measured for itemized and scale-level content validity, inter-rater reliability (IRR), and construct validity. METHODS: The NECPAL was back-translated and its content validated by a 5-member expert panel for clarity and relevance, forming the Israeli-NECPAL (I-NECPAL). Six health-care professionals used the I-NECPAL with 25 post-acute geriatric patients to measure IRR. For construct validity, the known-groups method was used, as there is no "gold standard" method for identifying palliative needs for comparison with the NECPAL. The known groups were 2 fictitious cases, predetermined of palliative need. Thirty health-care professionals, blinded to the predetermined palliative status, used the I-NECPAL to determine whether a patient needs a palliative-centered plan of care. RESULTS: The findings point to acceptable content and construct validity as well as IRR of the I-NECPAL for potential inclusion as a tool for identifying geriatric patients in need of palliative care. Content-validity assessment brought linguistic changes and the exclusion of the frailty parameter from the annex of chronic diseases. The kappa-adjusted scale-level content-validity index indicated a high level of content validity (0.96). IRR indicated a high level of agreement (all parameters with an "excellent-good" agreement level). The sensitivity (0.93), specificity (0.17), positive predictive value (0.53), and negative predictive value (0.71) revealed how heavily the scale weighed upon the surprise question. These metrics are improved when removing the surprise question from the instrument. SIGNIFICANCE OF RESULTS: Similar to other countries, the Israeli health-care system is regulated by policies that portray the local beliefs and culture as well as evidence-based practice. The decision about when to switch a patient to a palliative-centered plan of care is one such example. It is thus of utmost importance that only locally adapted and vigorously tested screening tools be offered to health-care providers to assist in this decision. The I-NECPAL is the first psychometrically tested palliative needs identification tool for use in the geriatric population in Israel, on both a scale and an itemized level. The results indicate that it can immediately replace the current unvalidated version in use. Further research is needed to determine whether all parts of the scale are relevant for this patient population.

Identification of elderly patients at risk for 30-day readmission: Clinical insight beyond big data prediction.

AIM: This study explores the potential benefit of combining clinicians' risk assessments and the automated 30-day readmission prediction model. BACKGROUND: Automated readmission prediction models based on electronic health records are increasingly applied as part of prevention efforts, but their accuracy is moderate. METHODS: This prospective multisource study was based on self-reported surveys of clinicians and data from electronic health records. The survey was performed at 15 internal medicine wards of three general Clalit hospitals between May 2016 and June 2017. We examined the degree of concordance between the Preadmission Readmission Detection Model, clinicians' readmission risk classification and the likelihood of actual readmission. Decision trees were developed to classify patients by readmission risk. RESULTS: A total of 694 surveys were collected for 371 patients. The disagreement between clinicians' risk assessment and the model was 34.5% for nurses and 33.5% for physicians. The decision tree algorithms identified 22% and 9% (based on nurses and physicians, respectively) of the model's low-medium-risk patients as high risk (accuracy 0.8 and 0.76, respectively). CONCLUSIONS: Combining the Readmission Model with clinical insight improves the ability to identify high-risk elderly patients. IMPLICATIONS FOR NURSING MANAGEMENT: This study provides algorithms for the decision-making process for selecting high-risk readmission patients based on nurses' evaluations.

Patients' Perceived Continuity of Care and Adherence to Oral Anticancer Therapy: a Prospective Cohort Mediation Study.

BACKGROUND: Oral anticancer therapy (OACT) poses adherence-related challenges to patients while generating a setting in which both primary care physicians (PCPs) and oncologists are involved in the active treatment of cancer. Continuity of care (COC) was shown to be associated with medication adherence. While maintaining COC is a central role of the PCP, how this affects continuity with oncologists, and jointly affects OACT adherence, is yet unknown. OBJECTIVES: To explore how aspects of COC act together to promote OACT adherence. Specifically, to examine whether better personal continuity with the PCP leads to better personal continuity with the oncologist, which together lead to better cross-boundary continuity between the oncologist and the PCP, jointly leading to good adherence to OACT. DESIGN AND SETTING: A prospective cohort study conducted in five oncology centers in Israel. A bootstrapping method was used to test the serial mediation model. PARTICIPANTS: Adult patients (age > 18 years) receiving a first OACT prescription (n = 119) were followed for 120 days. MAIN MEASURES: The Nijmegen Continuity Questionnaire was used to assess patients' perceived personal and cross-boundary continuity. The medication possession ratio was used to measure adherence. KEY RESULTS: Better personal continuity with the PCP was associated with better personal continuity with the oncologist (B = 0.35, p < 0.001), which was associated with better cross-boundary continuity (B = 0.33, p < 0.001), which, in turn, was associated with good adherence to OACT (B = 0.46, p = 0.03). Additionally, the indirect effect of personal continuity with the PCP on adherence to OACT through the mediation of personal continuity with the oncologist and cross-boundary continuity was found to be statistically significant (B = 0.053, 95% CI 0.0006-0.17). CONCLUSIONS: In a system where the PCP is the case manager, cancer patients' perceived personal continuity with the PCP has an essential role for initiating a sequence of care delivery events that positively affect OACT adherence.

Using a biopsychosocial approach to examine differences in post-traumatic stress symptoms between Arab and Jewish Israeli mothers following a child's traumatic medical event.

BACKGROUND: Parents of children following traumatic medical events (TMEs) are known to be at high risk for developing severe post-traumatic stress symptoms (PTSS). Findings on the negative impact of TMEs on parents' PTSS have been described in different cultures and societies. Parents from ethnic minority groups may be at particularly increased risk for PTSS following their child's TME due to a host of sociocultural characteristics. Yet, differences in PTSS manifestation between ethnic groups following a child's TME has rarely been studied. OBJECTIVES: We aimed to examine: (1) differences in PTSS between Israeli-Arab and Israeli-Jewish mothers, following a child's TME, and (2) risk and protective factors affecting mother's PTSS from a biopsychosocial approach. METHODS: Data were collected from medical files of children following TMEs, hospitalized in a Department of Pediatric Rehabilitation, between 2008 and 2018. The sample included 47 Israeli-Arab mothers and 47 matched Israeli-Jewish mothers. Mothers completed the psychosocial assessment tool (PAT) and the post-traumatic diagnostic scale (PDS). RESULTS: Arab mothers perceived having more social support than their Jewish counterparts yet reported higher levels of PTSS compared to the Jewish mothers. Our prediction model indicated that Arab ethnicity and pre-trauma family problems predicted higher levels of PTSS among mothers of children following TMEs. CONCLUSIONS: Despite reporting higher social support, Arab mothers reported higher levels of PTSS, as compared to the Jewish mothers. Focusing on ethnic and cultural differences in the effects of a child's TME may help improve our understanding of the mental-health needs of mothers from different minority groups and aid in developing appropriate health services and targeted interventions for this population.

Prospectively identifying adults with serious mental illness at risk for poor physical health: The role of person reported outcomes.

OBJECTIVE: Persons with serious mental illnesses are at increased risk for co-occurring physical comorbidities. Patient-reported outcome measures are increasingly used in routine assessments of persons with serious mental illnesses, yet the relation of patient-reported outcome measures to physical health outcomes has not been comprehensively investigated. We examined the association between patient-reported outcome measures and self-reported physical health at 1-year follow-up. DESIGN: A retrospective cohort study. SETTING: Data were collected as part of the Israeli Psychiatric Rehabilitation Patient-Reported Outcome Measurement program in Israel. PARTICIPANTS: A total of 2581 psychiatric rehabilitation service users assessed between April 2013 and January 2016. MAIN OUTCOME MEASURES: Self-reports on two consecutive years of physical health dichotomized as poor versus good. RESULTS: More than one-third of participants reported having poor physical health. Multivariate regression analysis showed that quality of life (odds ratio [OR] = 0.71; 95% confidence interval [CI]: 0.60-0.84) and lack of effect of symptoms on functioning (OR = 0.81; 95%CI: 0.74-0.89) predict subsequent physical health, controlling for all other factors. Compared to a multivariate model with personal characteristics and self-reports on physical health at baseline (Model A), the model which also included patient-reported outcome measures (Model B) showed slightly better discrimination (c-statistic: 0.74 vs. 0.76, respectively). CONCLUSIONS: These results suggest that patient-reported outcome measures contribute to the prediction of poor physical health and thus can be useful as an early screening tool for people with serious mental illnesses living in the community, who are at risk of physical health problems.

Comparing outcome measures of persons with severe mental illness in vocational rehabilitation programs: a dual perspective of consumers and providers.

OBJECTIVE: Vocational rehabilitation for people with severe mental illness (SMI) has many benefits. Among the existing models, supported employment has consistently shown to have better impact on vocational outcomes while the findings on non-vocational outcomes are inconsistent. One source of variation with regard to non-vocational outcomes could be related to differences between consumers' self-reports and the providers' point of view. DESIGN: A cross-sectional study of people with SMI consuming three different vocational services and their service providers. SETTING: Data were collected as part of the Israeli Psychiatric Rehabilitation Patient Reported Outcome Measurement project. PARTICIPANTS: The current data is based on 3666 pairs of people with SMI consuming vocational services and their service providers. INTERVENTIONS: Vocational services included supported employment, sheltered workshops and vocational support centers. MAIN OUTCOME MEASURES: The consumers-filled self-report questionnaires, which consisted of the following patient-reported outcome measurements (PROMs): quality of life, functioning and illness management. Primary professional providers were given instruments that mirrored the ones designed for self-report. RESULTS: According to providers' ratings, supported employment was associated with higher functioning (F = 78.6, P < 0.001) and illness management (F = 33.0, P < 0.001) compared to other vocational services. PROMs revealed that supported employment was associated with higher functioning only (F = 31.5, P < 0.001). Consumers rated themselves higher compared to providers on all measures. CONCLUSIONS: This study provides a deeper insight into non-vocational outcomes of people with SMI participating in vocational services and suggests differences in perspectives between consumers and providers with regard to outcome measures.

A personal network approach to the study of nurse champions of innovation and their innovation projects' spread.

AIMS: To develop and test the relationship between nurse champions' personal social networks and innovation success in terms of spread. DESIGN: A cross sectional. METHOD(S): Data were collected on 94 nurse champions at three medium-large tertiary medical centres from 2015-2016. Data from champions on their personal network were assessed via a standardized and acceptable three-step network survey. Success in terms of innovation spread was assessed via perceived extent of spread. Network structural and relational characteristics were depicted by level of spread. Multivariate linear regression was used to assess the relationship between network characteristics and innovation spread. FINDINGS: Above and beyond various project and network control variables, network density was significantly and positively related to project spread, tie-strength diversity was significantly and negatively related to project spread and difference in ethnic origin between champions and alters was significantly and positively related to project spread. Maximum age of network members was marginally significantly related to project spread. CONCLUSION(S): Our findings show that high-density personal social networks; networks where tie strength among network members is similar, thus, creating liking and trust among members; having at least one older network member who might have close access to professional and organizational resources acquired throughout their career; and having ties with network members from different ethnic groups to prevent knowledge stickiness, all promote innovation spread. Champions should be carefully nominated based on their ability to engage network members and to build ties with various network members inside and outside the nursing unit; once selected, champions should be aware of their social networks. IMPACT: The current study explored champions' personal-network structure, composition and variance measures and their implications for innovation project spread. The findings demonstrated that nursing champions' personal social networks matter for innovation spread. This finding has implications for the nominating and the coaching of champions.

An integrative review and theoretical examination of chronic illness mHealth studies using the Middle-Range Theory of Self-care of Chronic Illness.

Self-management, or self-care, by individuals and/or families is a critical element in chronic illness management as more care shifts to the home setting. Mobile device-enhanced health care, or mHealth, is being touted as a means to support self-care. Previous mHealth reviews examined the effect of mHealth on patient outcomes, however, none used a theoretical lens to examine the interventions themselves. The aims of this integrative review were to examine recent (e.g., last 10 years) chronic illness mHealth empiric studies and (1) categorize self-care behaviors engaged in the intervention according to the Middle-Range Theory of Self-care of Chronic Illness, and (2) conduct an analysis of gaps in self-care theory domains and behaviors utilized. Methods included: (1) Best practice study identification, collection, and data extraction procedures and (2) realist synthesis techniques for within and across case analysis. From a pool of 652 records, 33 primarily North American clinical trials, published between 2010 and 2019 were examined. Most mHealth interventions used apps, clinician contact, and behavioral prompts with some wireless devices. Examination found self-care maintenance behaviors were supported in most (n = 30) trials whereas self-care monitoring (n = 12) and self-care management behaviors (n = 8) were less so. Few trials (n = 2) targeted all three domains. Investigation of specific behaviors uncovered an overexamination of physical activity and diet behaviors and an underexamination of equally important behaviors. By examining chronic illness mHealth interventions using a theoretical lens we have categorized current interventions, conducted a gap analysis uncovering areas for future study, and made recommendations to move the science forward.

Interest and perceived capability of self-care in haemodialysis units.

AIMS: To (a) assess patients' interest and perceived capability of participating in haemodialysis; (b) assess nurses' perceptions of patients' interest and perceived capability of participating in haemodialysis; and (c) examine associations between patient characteristics and interest and perceived capability of performing haemodialysis self-care. DESIGN: Cross-sectional, questionnaire-based study. METHODS: Data were collected from dialysis patients and their nurses between October 2018-May 2019. Patients' interest and perceived capability of participation were assessed by a 10-item Likert-type scale developed and tested for this study, with responses ranging from 1 (not interested/no perceived capability) to 5 (already doing task independently). Multivariate linear regression was used to assess the relationship between patient characteristics, including age, sex, education level and severity of illness to ratings of activation level and haemodialysis self-care scale scores. The STROBE checklist was used as a guideline for this study. RESULTS: Ninety-one patients and 31 nurses participated. Overall, patients expressed interest (2.43 ± 0.93) and perceived themselves capable (2.34 ± 0.9) of participating in various haemodialysis-related tasks. Nurses assessed lower interest (2.19 ± 0.77) than patients, but similar average capability (2.31 ± 0.8). Both greater interest and perceived capability were correlated with more years of education and higher patient activation; additionally, interest was associated with disease severity and perceived capability was associated with age. CONCLUSION: Haemodialysis patients are interested and perceive themselves capable of participating in the tasks involved in dialysis care. Nurses underestimate patient interest in participation. RELEVANCE TO CLINICAL PRACTICE: Self-care behaviours among haemodialysis patients are important, as they may affect quality of life and survival. Determining interest and perceived capability of participation is a first step towards evaluating the feasibility of self-care in a supervised haemodialysis setting.

Preventing Hospital Readmissions: Healthcare Providers' Perspectives on "Impactibility" Beyond EHR 30-Day Readmission Risk Prediction.

BACKGROUND: Predictive models based on electronic health records (EHRs) are used to identify patients at high risk for 30-day hospital readmission. However, these models' ability to accurately detect who could benefit from inclusion in prevention interventions, also termed "perceived impactibility", has yet to be realized. OBJECTIVE: We aimed to explore healthcare providers' perspectives of patient characteristics associated with decisions about which patients should be referred to readmission prevention programs (RPPs) beyond the EHR preadmission readmission detection model (PREADM). DESIGN: This cross-sectional study employed a multi-source mixed-method design, combining EHR data with nurses' and physicians' self-reported surveys from 15 internal medicine units in three general hospitals in Israel between May 2016 and June 2017, using a mini-Delphi approach. PARTICIPANTS: Nurses and physicians were asked to provide information about patients 65 years or older who were hospitalized at least one night. MAIN MEASURES: We performed a decision-tree analysis to identify characteristics for consideration when deciding whether a patient should be included in an RPP. KEY RESULTS: We collected 817 questionnaires on 435 patients. PREADM score and RPP inclusion were congruent in 65% of patients, whereas 19% had a high PREADM score but were not referred to an RPP, and 16% had a low-medium PREADM score but were referred to an RPP. The decision-tree analysis identified five patient characteristics that were statistically associated with RPP referral: high PREADM score, eligibility for a nursing home, having a condition not under control, need for social-services support, and need for special equipment at home. CONCLUSIONS: Our study provides empirical evidence for the partial congruence between classifications of a high PREADM score and perceived impactibility. Findings emphasize the need for additional research to understand the extent to which combining EHR data with provider insights leads to better selection of patients for RPP inclusion.

Patterns of informal family care during acute hospitalization of older adults from different ethno-cultural groups in Israel.

INTRODUCTION: Informal caregiving during hospitalization of older adults is significantly related to hospital processes and patient outcomes. Studies in home settings demonstrate that ethno-cultural background is related to various aspects of informal caregiving; however, this association in the hospital setting is insufficiently researched. OBJECTIVES: Our study explore potential differences between ethno-cultural groups in the amount and kind of informal support they provide for older adults during hospitalization. METHODS: This research is a secondary data analysis of two cohort studies conducted in Israeli hospitals. Hospitalized older adults are divided into three groups: Israeli-born and veteran immigrant Jews, Arabs, and Jewish immigrants from the Former Soviet Union (FSU). Duration of caregiver visit, presence in hospital during night hours, type of support (using the Informal Caregiving for Hospitalized Older Adults scale) are assessed during hospitalization. Results are controlled by background parameters including functional Modified Barthel Index (MBI) and cognitive Short Portable Mental Status Questionnaire (SPMSQ) status, chronic morbidity (Charlson), and demographic characteristics. RESULTS: Informal caregivers of "FSU immigrants" stay fewer hours during the day in both cohorts, and provide less supervision of medical care in Study 2, than caregivers in the two other groups. Findings from Study 1 also suggest that informal caregivers of "Arab" older adults are more likely to stay during the night than caregivers in the two other groups. CONCLUSIONS: Ethno-cultural groups differ in their patterns of caregiving of older adults during hospitalization. Health care professionals should be aware of these patterns and the cultural norms that are related to caregiving practices for better cooperation between informal and formal caregivers of older adults.

Health equity and COVID-19: global perspectives.

The COVID-19 is disproportionally affecting the poor, minorities and a broad range of vulnerable populations, due to its inequitable spread in areas of dense population and limited mitigation capacity due to high prevalence of chronic conditions or poor access to high quality public health and medical care. Moreover, the collateral effects of the pandemic due to the global economic downturn, and social isolation and movement restriction measures, are unequally affecting those in the lowest power strata of societies. To address the challenges to health equity and describe some of the approaches taken by governments and local organizations, we have compiled 13 country case studies from various regions around the world: China, Brazil, Thailand, Sub Saharan Africa, Nicaragua, Armenia, India, Guatemala, United States of America (USA), Israel, Australia, Colombia, and Belgium. This compilation is by no-means representative or all inclusive, and we encourage researchers to continue advancing global knowledge on COVID-19 health equity related issues, through rigorous research and generation of a strong evidence base of new empirical studies in this field.

Assessing guideline-concordant care for patients with multimorbidity treated in a care management setting.

BACKGROUND: Disease-specific guidelines are not aligned with multimorbidity care complexity. Meeting all guideline-recommended care for multimorbid patients has been estimated but not demonstrated across multiple guidelines. OBJECTIVE: Measure guideline-concordant care for patients with multimorbidity; assess in what types of care and by whom (clinician or patient) deviation from guidelines occurs and evaluate whether patient characteristics are associated with concordance. METHODS: A retrospective cohort study of care received over 1 year, conducted across 11 primary care clinics within the context of multimorbidity-focused care management program. Patients were aged 45+ years with more than two common chronic conditions and were sampled based on either being new (≤6 months) or veteran to the program (≥1 year). MEASURES: Three guideline concordance measures were calculated for each patient out of 44 potential guideline-recommended care processes for nine chronic conditions: overall score; referral score (proportion of guideline-recommended care referred) and patient-only score (proportion of referred care completed by patients). Guideline concordance was stratified by care type. RESULTS: 4386 care processes evaluated among 204 patients, mean age = 72.3 years (standard deviation = 9.7). Overall, 79.2% of care was guideline concordant, 87.6% was referred according to guidelines and patients followed 91.4% of referred care. Guideline-concordant care varied across care types. Age, morbidity burden and whether patients were new or veteran to the program were associated with guideline concordance. CONCLUSIONS: Patients with multimorbidity do not receive ~20% of guideline recommendations, mostly due to clinicians not referring care. Determining the types of care for which the greatest deviation from guidelines exists can inform the tailoring of care for multimorbidity patients.

Association between continuity of nursing care and older adults' hospitalization outcomes: A retrospective observational study.

AIM: To assess the relationship between continuity in nursing assignment in older adults' acute hospitalization and patient experience and functional decline. BACKGROUND: In-hospital functional decline affects up to 40% of hospitalized older adults. Nurses are responsible for performing functioning-preserving interventions. Whether continuity of nursing care contributes to patients' functional outcomes is unclear. METHOD: A retrospective observational study of 609 patients aged ≥70 admitted to internal medicine units. Patients were surveyed on their functional (cognitive and physical) status and satisfaction with the hospital care experience. Dispersion and sequence of nursing assignment were measured by the Continuity of Care Index and Sequential Continuity Index. Multivariate logistic regressions were modelled for each continuity score and outcome. RESULTS: Achieving 25% of the maximum Continuity of Care Index was associated with lower odds of cognitive decline (OR = 0.64, 95% CI = 0.43-0.94) and higher odds of satisfaction (OR = 1.52, 95% CI = 1.06-2.17). Achieving 25% of the maximum Sequential Continuity Index was associated only with higher odds of satisfaction (OR = 1.43, 95% CI = 1.01-2.02). Continuity scores were not associated with physical functioning decline. CONCLUSION: Continuity in nursing assignment is related to a positive patient experience and cognitive functioning of hospitalized older adults. IMPLICATIONS FOR NURSING MANAGEMENT: Continuity should be prioritized in scheduling and assignment algorithms.

Prediction Accuracy With Electronic Medical Records Versus Administrative Claims.

OBJECTIVE: The objective of this study was to evaluate the incremental predictive power of electronic medical record (EMR) data, relative to the information available in more easily accessible and standardized insurance claims data. DATA AND METHODS: Using both EMR and Claims data, we predicted outcomes for 118,510 patients with 144,966 hospitalizations in 8 hospitals, using widely used prediction models. We use cross-validation to prevent overfitting and tested predictive performance on separate data that were not used for model training. MAIN OUTCOMES: We predict 4 binary outcomes: length of stay (≥7 d), death during the index admission, 30-day readmission, and 1-year mortality. RESULTS: We achieve nearly the same prediction accuracy using both EMR and claims data relative to using claims data alone in predicting 30-day readmissions [area under the receiver operating characteristic curve (AUC): 0.698 vs. 0.711; positive predictive value (PPV) at top 10% of predicted risk: 37.2% vs. 35.7%], and 1-year mortality (AUC: 0.902 vs. 0.912; PPV: 64.6% vs. 57.6%). EMR data, especially from the first 2 days of the index admission, substantially improved prediction of length of stay (AUC: 0.786 vs. 0.837; PPV: 58.9% vs. 55.5%) and inpatient mortality (AUC: 0.897 vs. 0.950; PPV: 24.3% vs. 14.0%). Results were similar for sensitivity, specificity, and negative predictive value across alternative cutoffs and for using alternative types of predictive models. CONCLUSION: EMR data are useful in predicting short-term outcomes. However, their incremental value for predicting longer-term outcomes is smaller. Therefore, for interventions that are based on long-term predictions, using more broadly available claims data is equally effective.

The association between patients' perceived continuity of care and beliefs about oral anticancer treatment.

PURPOSE: To explore factors associated with necessity beliefs and concerns among patients receiving oral anticancer therapy (OACT) and, specifically, to examine the relationship between continuity of care (COC) and patients' beliefs about OACT. METHODS: A cross-sectional study was conducted among patients from four oncology centers receiving OACT (either targeted, hormonal, or chemotherapy). Two months after OACT initiation, patients were asked to participate in a face-to-face or telephone survey. The Beliefs about Medicines Questionnaire was used to examine patients' perceptions of their personal necessity for OACT and concerns about potential adverse effects. The Nijmegen Continuity Questionnaire was used to assess patients' perceived COC. Data on clinical characteristics were collected from medical records. RESULTS: Participants' beliefs about OACT necessity (n = 91) were found to be associated with COC within the oncology team, and with COC between the oncology specialist and the primary care physicians (ß = 0.27, p = 0.003; ß = 0.22, p = 0.02, respectively), beyond age, depression, and cancer type (ΔR2 = 0.14, p < 0.001). Additionally, the difference between participants' beliefs about OACT necessity and their OACT-related concerns was associated with COC within the oncology team (ß = 0.30, p = 0.001), beyond age, income, family status, and cancer type (ΔR2 = 0.09, p = 0.001). CONCLUSIONS: This study shows that cancer patients' perceptions about the COC between care providers are related to their beliefs about OACT necessity, thus providing evidence for the importance of health care delivery approaches that support COC within the oncology team and between the oncology specialist and the primary care physician.

Identifying patients at highest-risk: the best timing to apply a readmission predictive model.

BACKGROUND: Most of readmission prediction models are implemented at the time of patient discharge. However, interventions which include an early in-hospital component are critical in reducing readmissions and improving patient outcomes. Thus, at-discharge high-risk identification may be too late for effective intervention. Nonetheless, the tradeoff between early versus at-discharge prediction and the optimal timing of the risk prediction model application remains to be determined. We examined a high-risk patient selection process with readmission prediction models using data available at two time points: at admission and at the time of hospital discharge. METHODS: An historical prospective study of hospitalized adults (≥65 years) discharged alive from internal medicine units in Clalit's (the largest integrated payer-provider health fund in Israel) general hospitals in 2015. The outcome was all-cause 30-day emergency readmissions to any internal medicine ward at any hospital. We used the previously validated Preadmission Readmission Detection Model (PREADM) and developed a new model incorporating PREADM with hospital data (PREADM-H). We compared the percentage of overlap between the models and calculated the positive predictive value (PPV) for the subgroups identified by each model separately and by both models. RESULTS: The final cohort included 35,156 index hospital admissions. The PREADM-H model included 17 variables with a C-statistic of 0.68 (95% CI: 0.67-0.70) and PPV of 43.0% in the highest-risk categories. Of patients categorized by the PREADM-H in the highest-risk decile, 78% were classified similarly by the PREADM. The 22% (n = 229) classified by the PREADM-H at the highest decile, but not by the PREADM, had a PPV of 37%. Conversely, those classified by the PREADM into the highest decile but not by the PREADM-H (n = 218) had a PPV of 31%. CONCLUSIONS: The timing of readmission risk prediction makes a difference in terms of the population identified at each prediction time point - at-admission or at-discharge. Our findings suggest that readmission risk identification should incorporate a two time-point approach in which preadmission data is used to identify high-risk patients as early as possible during the index admission and an "all-hospital" model is applied at discharge to identify those that incur risk during the hospital stay.