When do patient-reported outcome measures inform readmission risk?

Effect of digital tools to promote hospital quality and safety on adverse events after discharge

OBJECTIVES

Post-discharge adverse events (AEs) are common and heralded by new and worsening symptoms (NWS). We evaluated the effect of electronic health record (EHR)-integrated digital tools designed to promote quality and safety in hospitalized patients on NWS and AEs after discharge.

MATERIALS AND METHODS

Adult general medicine patients at a community hospital were enrolled. We implemented a dashboard which clinicians used to assess safety risks during interdisciplinary rounds. Post-implementation patients were randomized to complete a discharge checklist whose responses were incorporated into the dashboard. Outcomes were assessed using EHR review and 30-day call data adjudicated by 2 clinicians and analyzed using Poisson regression. We conducted comparisons of each exposure on post-discharge outcomes and used selected variables and NWS as independent predictors to model post-discharge AEs using multivariable logistic regression.

RESULTS

A total of 260 patients (122 pre, 71 post [dashboard], 67 post [dashboard plus discharge checklist]) enrolled. The adjusted incidence rate ratios (aIRR) for NWS and AEs were unchanged in the post- compared to pre-implementation period. For patient-reported NWS, aIRR was non-significantly higher for dashboard plus discharge checklist compared to dashboard participants (1.23 [0.97,1.56], P = .08). For post-implementation patients with an AE, aIRR for duration of injury (>1 week) was significantly lower for dashboard plus discharge checklist compared to dashboard participants (0 [0,0.53], P < .01). In multivariable models, certain patient-reported NWS were associated with AEs (3.76 [1.89,7.82], P < .01).

DISCUSSION

While significant reductions in post-discharge AEs were not observed, checklist participants experiencing a post-discharge AE were more likely to report NWS and had a shorter duration of injury.

CONCLUSION

Interventions designed to prompt patients to report NWS may facilitate earlier detection of AEs after discharge.

CLINICALTRIALS.GOV

NCT05232656.

Identifying Correlation Among Patient-Reported Outcome Measures: A Study of PROMIS-29, ODI, and VAS in Adult Spinal Deformity Patients

BACKGROUND

Adult spinal deformity (ASD) is becoming increasingly common in aging populations. Patient-reported outcome measures (PROMs) are self-reported patient surveys administered pre- and postoperatively that provide insight into patient improvement. We aim to compare 3 of the most utilized PROMs: PROMIS-29, Oswestry Disability Index (ODI), and Visual Analogue Scale (VAS), to investigate whether they provide unique and independent assessments of patient outcomes when assessed longitudinally.

METHODS

We retrospectively reviewed a database of ASD at UT Southwestern Medical Center between 2016 and 2021. Adult patients (>18 years old) were included if they underwent long-segment (>4 levels) thoracolumbar fusion. PROMIS-29, ODI, and VAS scores were collected preoperatively and at 3-, 6-, 12-, 18-, 24-, 30-, and 36-month follow-ups. Scores were recorded ±1 month of the time points. Pearson correlation coefficients for each PROM were then calculated in a pairwise fashion.

RESULTS

A total of 163 patients were included in our analysis. ODI and VAS showed significant covariance, with VAS Neck and VAS Back having Pearson coefficients of 0.95 and 0.94, respectively. ODI and PROMIS-29 also showed significant covariance, with Physical Function and ODI showing a Pearson coefficient of 0.95. PROMIS-29 and VAS demonstrated less correlation regarding Pain and Physical Function; however, they showed a significantly high Pearson coefficient when comparing VAS Back with PROMIS-29 Sleep and Pain Intensity (r = 0.97 and r = 0.96, respectively).

CONCLUSIONS

All 3 PROMs demonstrated significant correlation over 36 months, indicating that simultaneous administration of each during follow-up is redundant. The measure that provided the least unique information was ODI, as both VAS and PROMIS-29 demonstrated similar progression and assessed additional metrics. PROMIS-29 provided the same information as VAS and ODI, with extra facets of patient-reported outcomes, indicating that it may be a more comprehensive measure of longitudinal patient improvement.

Patient-reported outcome measures as determinants for the utilization of health care among outpatients with epilepsy: a prognostic cohort study

BACKGROUND

Patient-reported outcome (PRO) measures can inform clinical decision making and planning of treatment in the health care system. The aim of this study was to examine whether patient-reported health domains influence the use of health care services in outpatients with epilepsy.

METHODS

This was a prognostic cohort study of 2,426 epilepsy outpatients referred to PRO-based follow-up at the Department of Neurology, Aarhus University Hospital, Denmark. Patients filled out a questionnaire covering health literacy areas, self-efficacy, well-being and general health. The main outcome was a record of contact to the epilepsy outpatient clinic, inpatient ward and/or emergency room within 1 year, retrieved from health register data. Associations were analysed by multivariable binomial logistic regression.

RESULTS

A total of 2,017 patients responded to the questionnaire and 1,961 were included in the final analyses. An outpatient contact was more likely among patients with very low health literacy ('social support'): odds ratio (OR) 1.5 (95% CI: 1.1-2.1), very low and low self-efficacy: OR 1.7 (95% CI: 1.2-2.3) and OR 1.4 (95% CI: 1.0-1.8), low and medium well-being: OR 2.2 (95% CI: 1.6-3.0) and OR 1.4 (95% CI: 1.1-1.9), and patients rating their general health as fair: OR 2.8 (95% CI: 1.7-4.6). Inpatient contact and emergency room contact were associated with the health domains of self-efficacy and general health.

CONCLUSIONS

PRO questionnaire data indicated that patients with low health literacy ("social support"), well-being, self-efficacy and self-rated general health had an increased use of health care services at 1 year.These results suggest that PRO measures may provide useful information in relation to the possibility of proactive efforts and prevention of disease-related issues and to help identify efficiency options regarding resource utilization.

Polish Adaptation and Psychometric Validation of the PREM-C9 Questionnaire for Patients with Chronic Obstructive Pulmonary Disease

Introduction: Chronic obstructive pulmonary disease (COPD) is a common, preventable, and treatable disease. The first PREM (patient-reported outcome measure)-type questionnaire that has been dedicated to assess the experience of care in COPD is the PREM-C9. Aim: The aim of this study was to create a Polish version of the PREM-C9 and determine its psychometric characteristics. Methods: The validation procedure involved forward and back translation. We included 42 patients with COPD. The psychometric properties were assessed using Cronbach's alpha, Bartlett's test, the Kaiser-Meyer-Olkin test, and Spearman's correlation coefficient. The validity of the questionnaire was assessed using a principal component analysis for the extracted principal components. The validity of the factor analysis was demonstrated using Bartlett's sphericity test and the Kaiser-Meyer-Olkin (KMO) test. A factor analysis was performed using the Oblimin and Varimax rotation. The reliability of the questionnaire was assessed using Cronbach's alpha. Results: The Polish version of the analyzed questionnaire met all the validation criteria: face, translation, psychometric, functional, and reconstruction equivalence. Spearman's correlation results between the Polish PREM-C9 and CAT were as follows: rho = 0.44, p = 0.003539; HADS-Anxiety: rho = 0.370864, p = 0.015612; and HADS-Depression: rho = 0.387405, p = 0.011253. Conclusions: The developed Polish PREM-C9 questionnaire is a reliable and valid tool that assesses Polish COPD patients' experiences of their disease and the care they receive.

Social Needs and Acculturation as Predictors of Emotional Problems and Perceived Stress Among Latinx Mothers with Low Income

Associations between household social needs, acculturation, and emotional health remain understudied, particularly among Latinx mothers. We analyzed baseline survey data from 455 Latinx mothers in a previous study. Using multinomial regression, we examined whether emotional problems and perceived stress were associated with household social needs and acculturation. Almost half the sample reported four or more household social needs. Social needs cumulatively and independently predicted increased odds of frequent emotional problems or perceived stress. Lower acculturation predicted lower odds of frequent emotional problems. There is increased risk for emotional problems and stress in low-income Latinx mothers who experience high social need. Integrated social service and mental health care models may be one way to improve health outcomes. More research is needed to understand how clinical settings can leverage unique cultural protective factors to address the social and emotional health needs of Latinx mothers.

Validation of the PROMIS-29v2 Health-Related Quality-of-Life Questionnaire in Patients With Coronary Heart Disease Participating in Remote Cardiac Rehabilitation

PURPOSE

The aim of this study was to validate the 29-item Patient-Reported Outcomes Measurement Information System version 2.0 (PROMIS-29v2) health-related quality-of-life (HRQL) questionnaire for use in patients with coronary heart disease (CHD) participating in remotely delivered cardiac rehabilitation (CR).

METHODS

Patients commencing remote CR across four sites in New South Wales, Australia, answered the PROMIS-29v2 and 12-item Short Form Health Survey version 2.0 (SF-12v2) questionnaires at CR entry and completion (6 wk). The data were analyzed for validity, reliability, and responsiveness to change.

RESULTS

Patients (N = 89) had a mean age of 66.9 ± 9.3 yr; 83% were male and were referred to CR for elective percutaneous coronary intervention (PCI) (42%), myocardial infarction (36%), and coronary artery bypass grafting (22%). Internal consistency reliability was adequate, with the Cronbach α ranging from 0.78-0.98. Convergent validity between the PROMIS-29v2 and SF-12v2 summary scores showed significantly strong correlations for physical (r = 0.62) and moderate for mental (r = 0.36) health. Discriminant validity was confirmed for sex (women reported lower physical and mental health) and referral diagnosis (patients who had elective PCI reported better physical health). Effect size (ES) comparisons confirmed responsiveness to change from CR entry to completion in physical health (ES = 0.51) and demonstrated evidence of more responsiveness than SF-12v2 for mental health (ES = 0.70).

CONCLUSION

The PROMIS-29v2 is reliable, valid, and responsive to changes in patients with CHD attending remotely delivered CR and allows for baseline HRQL assessment, between-diagnosis comparisons, and evaluation of changes over time.

Predictive model of multiple emergency department visits among adults: analysis of the data from the National Survey of Drug Use and Health (NSDUH)

Background

In this methodological paper, we use a novel, predictive approach to examine how demographics, substance use, mental and other health indicators predict multiple visits (≥3) to emergency departments (ED) within a year.

Methods

State-of-the-art predictive methods were used to evaluate predictive ability and factors predicting multiple visits to ED within a year and to identify factors that influenced the strength of the prediction. The analysis used public-use datasets from the 2015–2018 National Surveys on Drug Use and Health (NSDUH), which used the same questionnaire on the variables of interest. Analysis focused on adults aged ≥18 years. Several predictive models (regressions, trees, and random forests) were validated and compared on independent datasets.

Results

Predictive ability on a test set for multiple ED visits (≥3 times within a year) measured as the area under the receiver operating characteristic (ROC) reached 0.8, which is good for a national survey. Models revealed consistency in predictive factors across the 4 survey years. The most influential variables for predicting ≥3 ED visits per year were fair/poor self-rated health, being nervous or restless/fidgety, having a lower income, asthma, heart condition/disease, having chronic obstructive pulmonary disease (COPD), nicotine dependence, African-American race, female sex, having diabetes, and being of younger age (18–20).

Conclusions

The findings reveal the need to address behavioral and mental health contributors to ED visits and reinforce the importance of developing integrated care models in primary care settings to improve mental health for medically vulnerable patients. The presented modeling approach can be broadly applied to national and other large surveys.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06221-w.

The Association Between Patient-reported Clinical Factors and 30-day Acute Care Utilization in Chronic Heart Failure

BACKGROUND

Heart failure patients have high rates of repeat acute care use. Current efforts for risk prediction often ignore postdischarge data.

OBJECTIVE

To identify postdischarge patient-reported clinical factors associated with repeat acute care use.

RESEARCH DESIGN

In a prospective cohort study that followed patients with chronic heart failure for 30 days postdischarge, for 7 days after discharge (or fewer days if patients used acute care within 7 days postdischarge), patients reported health status, heart failure symptoms, medication management, knowledge of follow-up plans, and other issues using a daily interactive automatic phone call.

SUBJECTS

A total of 156 patients who had responded to phone surveys.

MEASURES

The outcome variable was dichotomous 30-day acute care use (rehospitalization or emergency department visit). We examined the association between each patient-reported issue and the outcome, using multivariable logistic regression to adjust for confounders.

RESULTS

Patients were 63 years old (SD=12.4), with 51% African-American and 53% women. Within 30 days postdischarge, 30 (19%) patients used acute care. After adjustment, poor health status [odds ratio (OR)=3.53; 95% confidence interval (CI), 1.06-11.76], pain (OR=2.44; 95% CI, 1.02-5.84), and poor appetite (OR=3.05; 95% CI, 1.13-8.23) were positively associated with 30-day acute care utilization. Among 58 reports of pain in follow-up nursing notes, 39 (67%) were noncardiac, 2 (3%) were cardiac, and 17 (29%) were indeterminate.

CONCLUSIONS

Patient-reported poor health status, pain, and poor appetite were positively associated with 30-day acute care utilization. These novel postdischarge markers require further study before incorporation into risk prediction to drive quality improvement efforts.

Impact of using patient-reported outcome measures in routine clinical care of paediatric patients with chronic conditions: a systematic review protocol

INTRODUCTION

Chronic diseases among children are associated with lower health-related quality of life (HRQOL) and higher utilisation of healthcare services. Integrating Patient-Reported Outcomes Measures (PROMs) in routine clinical care has been shown to reduce utilisation of healthcare services while improving patient outcomes. The objectives of our study are to: (1) identify previously implemented and evaluated PROMs for chronic conditions in paediatric settings; (2) consolidate the evidence to evaluate the impact of using PROMs on HRQOL, healthcare utilisation, patient outcomes (eg, symptoms control) and quality of care among paediatric patients with chronic conditions. The findings from this review will inform the future integration of PROMs in paediatric clinical practice.

METHODS AND ANALYSIS

We will systematically search the following electronic databases: MEDLINE, EMBASE, CINAHL, PsychINFO and Cochrane library. Reference lists of included studies will also be searched in Web of Science (Thomson Reuters) database to ensure more complete coverage. Two reviewers will independently screen the studies and abstract the data using standardised form. Extracted data will be analysed and synthesised. Finally, a narrative synthesis of summarised data will be presented.

ETHICS AND DISSEMINATION

Ethical approval is not required, as the proposed systematic review will use data from published research articles. The results of this study will be disseminated through publication in peer-reviewed journals, scientific conferences and meetings, and the lead author's doctoral dissertation.

PROSPERO REGISTRATION NUMBER

CRD42018109035.

What matters in "multimorbidity"? Arguably resilience and personal health experience are central to quality of life and optimizing survival

RATIONALE

Much is written about "multimorbidity" as it is a difficult problem for health systems, as it reflects a complex phenomenon unique to each individual health journey and health service context. This paper proposes the adoption of 2 constructs or knowledge streams into mainstream "multimorbidity" care which are arguably most important to person-centered care-personal health perceptions and resilience.

ANALYSIS

"Multimorbidity" is the manifestation of multiple nonlinear physical, psychosocial, and environmental phenomena in an individual health journey. Multimorbidity encompasses very stable states for the most part together with highly unstable phases that are difficult to manage. Averting or controlling the underlying loss of resilience in instability can be challenging without early warning signals pointing towards tipping points. Monitoring resilience and early warning signals for tipping points is new to health care. Yet what should we monitor in the complexity of multimorbidity? There are multiple and competing health service features and biometrics that can be measured. However, an expanding of literature endorses importance of simply asking a person about their self-rated health in order to provide predictions of their resilience and survival. Interoception, exemplified as self-rated health, arises from internal neurocognitive self-monitoring functions of different internal and external phenomena. Interoception is being to be recognized as predictors and barometers of resilience and survival.

CONCLUSIONS

Two phenomena of human systems-interoception and resilience-can guide care in the complex nature of multimorbidity in unstable health journeys and should be incorporated into clinical practice.

Heading and unintentional head impacts have opposing associations with Patient Reported Outcomes in amateur soccer players

The effects of soccer-related head impacts, beyond overt concussions, on Patient Reported Outcomes (PROs) have not been explored to date. Generalized estimating equations were employed to determine the association between soccer-related head impacts (headers in the prior 2 weeks, unintentional head impacts in the prior 2 weeks, headers in the prior 12 months and lifetime concussions) on PROs including depression, anxiety, sleep disturbance and sleep impairment. Compared to players with no unintentional head impacts in the prior 2 weeks, players with one unintentional exposure reported more symptoms of anxiety (p = 0.002) and players with 2+ exposures reported more symptoms of depression (p = 0.006) and anxiety (p < 0.001). In contrast, players in the 3rd Quartile of 12 mo. headers reported less anxiety (p = 0.001), sleep disturbance (p = 0.002) and sleep impairment (p < 0.001) compared to those in the 1st quartile. Unintentional head impacts are associated with worse PROs while more headers are paradoxically associated with better PROs.

PROMIS®-29 v2.0 profile physical and mental health summary scores

PURPOSE

The PROMIS-29 v2.0 profile assesses pain intensity using a single 0-10 numeric rating item and seven health domains (physical function, fatigue, pain interference, depressive symptoms, anxiety, ability to participate in social roles and activities, and sleep disturbance) using four items per domain. This paper describes the development of physical and mental health summary scores for the PROMIS-29 v2.0.

METHOD

We conducted factor analyses of PROMIS-29 scales on data collected from two internet panels (n = 3000 and 2000).

RESULTS

Confirmatory factor analyses provided support for a physical health factor defined by physical function, pain (interference and intensity), and ability to participate in social roles and activities, and a mental health factor defined primarily by emotional distress (anxiety and depressive symptoms). Reliabilities for these two summary scores were 0.98 (physical health) and 0.97 (mental health). Correlations of the PROMIS-29 v2.0 physical and mental health summary scores with chronic conditions and other health-related quality of life measures were consistent with a priori hypotheses.

CONCLUSIONS

This study develops and provides preliminary evidence supporting the reliability and validity of PROMIS-29 v2.0 physical and mental health summary scores that can be used in future studies to assess impacts of health care interventions and track changes in health over time. Further evaluation of these and alternative summary measures is recommended.

Patient-level exclusions from mHealth in a safety-net health system

Excitement about mobile health (mHealth) for improving care transitions is fueled by widespread adoption of smartphones across all social segments, but new disparities can emerge around nonadopters of technology-based communications. We conducted a cross-sectional survey of urban low-income adults to assess inadequate reading health literacy and limited English proficiency as factors affecting access to and engagement with mHealth. Although the proportion owning smartphones were comparable to national figures, adjusted analysis showed fewer patients with inadequate reading health literacy having Internet access (odds ratio [95% confidence interval]: 0.50 [0.26-0.95]), e-mail (0.43 [0.24-0.79]), and interest in using e-mail (0.34 [0.18-0.65]) for healthcare communications. Fewer patients with limited English proficiency were interested in using mobile apps (0.2 [0.09-0.46]). Inpatient status was independently associated with less interest in text messaging (0.46 [0.25-0.87]). mHealth exclusions around literacy and language proficiency threaten equity, and innovative solutions are needed to realize mHealth's potential for reducing disparities. Journal of Hospital Medicine 2017;12:90-93.

[Cross-cultural adaptation and validation of the PROMIS Global Health scale in the Portuguese language]

This study aimed to perform the cross-cultural adaptation and validation of the Patient-Reported Outcomes Measurement Information System (PROMIS) Global Health scale in the Portuguese language. The ten Global Health items were cross-culturally adapted by the method proposed in the Functional Assessment of Chronic Illness Therapy (FACIT). The instrument's final version in Portuguese was self-administered by 1,010 participants in Brazil. The scale's precision was verified by floor and ceiling effects analysis, reliability of internal consistency, and test-retest reliability. Exploratory and confirmatory factor analyses were used to assess the construct's validity and instrument's dimensionality. Calibration of the items used the Gradual Response Model proposed by Samejima. Four global items required adjustments after the pretest. Analysis of the psychometric properties showed that the Global Health scale has good reliability, with Cronbach's alpha of 0.83 and intra-class correlation of 0.89. Exploratory and confirmatory factor analyses showed good fit in the previously established two-dimensional model. The Global Physical Health and Global Mental Health scale showed good latent trait coverage according to the Gradual Response Model. The PROMIS Global Health items showed equivalence in Portuguese compared to the original version and satisfactory psychometric properties for application in clinical practice and research in the Brazilian population.

Functional status before and during acute hospitalization and readmission risk identification

BACKGROUND

Recent efforts to prevent readmissions are increasingly focusing on early identification of high-risk patients.

OBJECTIVE

To test whether information on functioning during hospitalization contributes to the ability to accurately identify older adults at high risk of readmission beyond their baseline risk.

DESIGN

Prospective cohort study.

SETTING

Internal medicine wards at 2 medical centers.

PATIENTS

Five hundred fifty-nine community-dwelling older adults (aged ≥70 years) discharged to their homes.

MEASUREMENTS

Data on unplanned 30-day readmissions were retrieved from electronic health records. Data on at-admission activities of daily living (ADL) and in-hospital ADL decline were collected using validated questionnaires. Multivariate logistic regression was used to model the association between functioning and readmission controlling for known risk factors.

RESULTS

Higher in-hospital ADL decline was significantly associated with readmission (odds ratio for each 10-point decrease in ADL = 1.32, 95% confidence interval = 1.02-1.72) but did not contribute to the overall discrimination of the model, as compared with the at-admission data (C statistic = 0.81 for each model). Identifying high-risk (10th highest percentile) patients by the at-admission model did not detect 7/55 (12.7%) of patients who would have been categorized as high risk if risk identification was postponed to the discharge date and included data on in-hospital ADL decline.

CONCLUSIONS

The study highlights the ability to identify patients at high risk for readmission already early in the index hospitalization using data on functioning, nutrition, chronic morbidity, and prior hospitalizations. Nonetheless, at-discharge functional assessment can detect additional patients whose readmission risk changes during the index hospitalization. Journal of Hospital Medicine 2016;11:636-641. © 2016 Society of Hospital Medicine.

Using electronic health record data for substance use Screening, Brief Intervention, and Referral to Treatment among adults with type 2 diabetes: Design of a National Drug Abuse Treatment Clinical Trials Network study

BACKGROUND

The Affordable Care Act encourages healthcare systems to integrate behavioral and medical healthcare, as well as to employ electronic health records (EHRs) for health information exchange and quality improvement. Pragmatic research paradigms that employ EHRs in research are needed to produce clinical evidence in real-world medical settings for informing learning healthcare systems. Adults with comorbid diabetes and substance use disorders (SUDs) tend to use costly inpatient treatments; however, there is a lack of empirical data on implementing behavioral healthcare to reduce health risk in adults with high-risk diabetes. Given the complexity of high-risk patients' medical problems and the cost of conducting randomized trials, a feasibility project is warranted to guide practical study designs.

METHODS

We describe the study design, which explores the feasibility of implementing substance use Screening, Brief Intervention, and Referral to Treatment (SBIRT) among adults with high-risk type 2 diabetes mellitus (T2DM) within a home-based primary care setting. Our study includes the development of an integrated EHR datamart to identify eligible patients and collect diabetes healthcare data, and the use of a geographic health information system to understand the social context in patients' communities. Analysis will examine recruitment, proportion of patients receiving brief intervention and/or referrals, substance use, SUD treatment use, diabetes outcomes, and retention.

DISCUSSION

By capitalizing on an existing T2DM project that uses home-based primary care, our study results will provide timely clinical information to inform the designs and implementation of future SBIRT studies among adults with multiple medical conditions.