Chronic comorbidity and outcomes of hospital care: length of stay, mortality, and readmission at 30 and 365 days

Association between multimorbidity and utilization of medical and long-term care among older adults in a rural mountainous area in Japan

Objective

With the accelerated population aging, multimorbidity has become an important healthcare issue. However, few studies have examined multimorbidity and its impact on the use of medical and long-term care services in Japan. Therefore, this study aimed to examine the association between multimorbidity and the use of medical and long-term care services among older adults living in the depopulated mountainous areas of Japan.

Patients and Methods

A cross-sectional study was conducted using insurance claims data from late-stage medical insurance and long-term care insurance (April 2017 to March 2018) for older adults ≥75 years residing in a mountainous area in the Tottori prefecture. In addition to the descriptive analysis, multiple generalized linear regressions with family gamma and log-link functions were used to examine the association between the number of morbidities and total annual medical and long-term care expenditures.

Results

A total of 970 participants ≥75 years were included in the analysis. Participants who had two or more morbidities constituted 86.5% of the total sample. Furthermore, participants with mental disorders were found to have more comorbidities. The number of comorbidities is associated with higher medical and long-term care expenditures.

Conclusion

Multimorbidity was dominant among late-stage older adults living in depopulated mountainous areas of Japan, and the number of morbidities was associated with higher economic costs of medical and long-term care services. Mitigating the impact of multimorbidity among older adults in depopulated regions of Japan is an urgent challenge. Future research should investigate the degree and effectiveness of social protections for vulnerable older adults living in remote areas.

The Early HOSPITAL Score to Predict 30-Day Readmission Soon After Hospitalization: a Prospective Multicenter Study

BACKGROUND

The simplified HOSPITAL score is an easy-to-use prediction model to identify patients at high risk of 30-day readmission before hospital discharge. An earlier stratification of this risk would allow more preparation time for transitional care interventions.

OBJECTIVE

To assess whether the simplified HOSPITAL score would perform similarly by using hemoglobin and sodium level at the time of admission instead of discharge.

DESIGN

Prospective national multicentric cohort study.

PARTICIPANTS

In total, 934 consecutively discharged medical inpatients from internal general services.

MAIN MEASURES

We measured the composite of the first unplanned readmission or death within 30 days after discharge of index admission and compared the performance of the simplified score with lab at discharge (simplified HOSPITAL score) and lab at admission (early HOSPITAL score) according to their discriminatory power (Area Under the Receiver Operating characteristic Curve (AUROC)) and the Net Reclassification Improvement (NRI).

KEY RESULTS

During the study period, a total of 3239 patients were screened and 934 included. In total, 122 (13.2%) of them had a 30-day unplanned readmission or death. The simplified and the early versions of the HOSPITAL score both showed very good accuracy (Brier score 0.11, 95%CI 0.10-0.13). Their AUROC were 0.66 (95%CI 0.60-0.71), and 0.66 (95%CI 0.61-0.71), respectively, without a statistical difference (p value 0.79). Compared with the model at discharge, the model with lab at admission showed improvement in classification based on the continuous NRI (0.28; 95%CI 0.08 to 0.48; p value 0.004).

CONCLUSION

The early HOSPITAL score performs, at least similarly, in identifying patients at high risk for 30-day unplanned readmission and allows a readmission risk stratification early during the hospital stay. Therefore, this new version offers a timely preparation of transition care interventions to the patients who may benefit the most.

Multimorbidity, consisting of a combination of chronic diseases and geriatric syndromes, predicts the risk of difficulty in discharge home in older patients admitted to acute care hospital

AIM

To determine whether multimorbidity, consisting of chronic diseases and geriatric syndromes, is associated with home discharge difficulties in older patients.

METHODS

A total of 522 older adults (mean age: 85 ± 7 years) who were admitted to an acute care hospital were enrolled. Multimorbidity was assessed by calculating the number of 16 chronic conditions (CCs): 8 chronic diseases (cardiac diseases, diabetes mellitus, chronic kidney disease, respiratory diseases, gastrointestinal diseases, anemia, dementia, and Parkinson disease) and 8 geriatric syndromes (depression, constipation, chronic pain, polypharmacy, dysphagia, underweight, hypoalbuminemia, and functional limitations). The patients were divided into four groups based on the number of CCs. The outcome was difficulty in discharging home (transfer to other facilities or in-hospital death). Multivariate logistic regression analysis was performed to assess independent associations between four CC groups and failure to discharge home after adjusting for age, sex, living alone, and Barthel index and odds ratio (OR) and 95% confidence interval (CI) were calculated.

RESULTS

Of the 522 patients, 18.8% were transferred to other facilities or died. The proportion of poor outcome in those with 0-2, 3-4, 5-6, and ≥7 CCs was 4.4%, 14.8%, 25.5%, and 37.5%, respectively. Logistic regression analysis after adjusting for covariates revealed that multimorbidity increased the risk of difficulty in discharging home (OR, 2.9 [95% CI, 1.1-8.0] for 3-4 CCs; OR, 4.9 [95% CI, 1.8-13.5] for 5-6 CCs; OR, 8.7 [95% CI, 3.1-24.6] for ≥7 CCs).

CONCLUSION

Multimorbidity, consisting of chronic diseases and geriatric syndromes, predicted difficulty in discharge home in older patients. Geriatr Gerontol Int 2024; 24: 300-305.

[Evaluation of the Charlson Comorbidity Index as a prognostic tool for assessing the severity of hand infections]

BACKGROUND

The Charlson Comorbidity Index (CCI) is used for the prognostic analysis of comorbidities. Comorbidities, especially diabetes mellitus, are a decisive factor for the development and course of hand infections. This study aimed to determine the CCI in patients with hand infections in order to examine how comorbidities influence the course and severity of hand infections.

MATERIAL AND METHODS

Ninety patients with hand infections requiring surgery but without previous antibiotic treatment were studied prospectively. The respective CCI was determined on admission to hospital. A total score of zero points was defined as "low", a score of one to three as "medium" and a score of four to nine points as a "high" index. Age, CRP level, duration of inpatient stay and the number of performed surgeries were documented and statistically evaluated.

RESULTS

The median CCI was 0,5 points with a range of 0-9 points. The most common comorbidity was diabetes mellitus without end-organ damage, followed by heart failure and chronic lung disease. Patients with a low total score (median 51 years) were significantly younger than those with a medium score (median 60 years; p=0,018) or a high score (median 66,5 years; p=0,018). In addition, patients with a low or medium score had a shorter hospital stay (median 6 vs. 11,5 days; plow=0,003; pmean=0,005), required fewer surgeries (median 1 vs. 3 surgeries; plow=0,002; pmean=0,003) and had a lower CRP level (median 8,3 mg/l vs. 7,1 mg/l vs. 86,25 mg/l; plow=pmean=0,001) than those with a high index. A significant positive correlation was found between the CCI and patient age (Spearman's ρ=0,367; p<0,001) as well as the length of hospital stay (Spearman's ρ=0,261; p=0,013), the number of surgeries (Spearman's ρ=0,219; p=0,038) and the CRP level (Spearman's ρ=0,212; p=0,045).

CONCLUSIONS

The CCI is an appropriate questionnaire for the prognostic assessment of the course and severity of hand infections, particularly with regard to the length of hospital stay, the number of surgeries and the CRP level.

One-Year Medical Utilization and Mortality in Home Health and Nursing Home Care Recipients from Northern Taiwan

OBJECTIVES

Home health care (HHC) and nursing home care (NHC) are mainstays of long-term service in the aged population. Therefore, we aimed to investigate the factors associated with 1-year medical utilization and mortality in HHC and NHC recipients in Northern Taiwan.

DESIGN

This study employed a prospective cohort design.

SETTING AND PARTICIPANTS

We enrolled 815 HHC and NHC participants who started receiving medical care services from the National Taiwan University Hospital, Beihu Branch between January 2015 and December 2017.

METHODS

Multivariate Poisson regression modeling was used to quantify the relationship between care model (HHC vs NHC) and medical utilization. Cox proportional-hazards modeling was used to estimate hazard ratios and factors associated with mortality.

RESULTS

Compared with NHC recipients, HHC recipients had higher 1-year utilization of emergency department services [incidence rate ratio (IRR) 2.04, 95% CI 1.16-3.59] and hospital admissions (IRR 1.49, 95% CI 1.14-1.93), as well as longer total hospital length of stay (LOS) (IRR 1.61, 95% CI 1.52-1.71) and LOS per hospital admission (IRR 1.31, 95% CI 1.22-1.41). Living at home or in a nursing home did not affect the 1-year mortality.

CONCLUSIONS AND IMPLICATIONS

Compared with NHC recipients, HHC recipients had a higher number of emergency department services and hospital admissions, as well as longer hospital LOS. Policies should be developed to reduce emergency department and hospitalization utilization in HHC recipients.

Contribution of Frailty to Multimorbidity Patterns and Trajectories: Longitudinal Dynamic Cohort Study of Aging People

BACKGROUND

Multimorbidity and frailty are characteristics of aging that need individualized evaluation, and there is a 2-way causal relationship between them. Thus, considering frailty in analyses of multimorbidity is important for tailoring social and health care to the specific needs of older people.

OBJECTIVE

This study aimed to assess how the inclusion of frailty contributes to identifying and characterizing multimorbidity patterns in people aged 65 years or older.

METHODS

Longitudinal data were drawn from electronic health records through the SIDIAP (Sistema d'Informació pel Desenvolupament de la Investigació a l'Atenció Primària) primary care database for the population aged 65 years or older from 2010 to 2019 in Catalonia, Spain. Frailty and multimorbidity were measured annually using validated tools (eFRAGICAP, a cumulative deficit model; and Swedish National Study of Aging and Care in Kungsholmen [SNAC-K], respectively). Two sets of 11 multimorbidity patterns were obtained using fuzzy c-means. Both considered the chronic conditions of the participants. In addition, one set included age, and the other included frailty. Cox models were used to test their associations with death, nursing home admission, and home care need. Trajectories were defined as the evolution of the patterns over the follow-up period.

RESULTS

The study included 1,456,052 unique participants (mean follow-up of 7.0 years). Most patterns were similar in both sets in terms of the most prevalent conditions. However, the patterns that considered frailty were better for identifying the population whose main conditions imposed limitations on daily life, with a higher prevalence of frail individuals in patterns like chronic ulcers &peripheral vascular. This set also included a dementia-specific pattern and showed a better fit with the risk of nursing home admission and home care need. On the other hand, the risk of death had a better fit with the set of patterns that did not include frailty. The change in patterns when considering frailty also led to a change in trajectories. On average, participants were in 1.8 patterns during their follow-up, while 45.1% (656,778/1,456,052) remained in the same pattern.

CONCLUSIONS

Our results suggest that frailty should be considered in addition to chronic diseases when studying multimorbidity patterns in older adults. Multimorbidity patterns and trajectories can help to identify patients with specific needs. The patterns that considered frailty were better for identifying the risk of certain age-related outcomes, such as nursing home admission or home care need, while those considering age were better for identifying the risk of death. Clinical and social intervention guidelines and resource planning can be tailored based on the prevalence of these patterns and trajectories.

Defining Multimorbidity in Older Patients Hospitalized with Medical Conditions

BACKGROUND

The term "multimorbidity" identifies high-risk, complex patients and is conventionally defined as ≥2 comorbidities. However, this labels almost all older patients as multimorbid, making this definition less useful for physicians, hospitals, and policymakers.

OBJECTIVE

Develop new medical condition-specific multimorbidity definitions for patients admitted with acute myocardial infarction (AMI), heart failure (HF), and pneumonia patients. We developed three medical condition-specific multimorbidity definitions as the presence of single, double, or triple combinations of comorbidities - called Qualifying Comorbidity Sets (QCSs) - associated with at least doubling the risk of 30-day mortality for AMI and pneumonia, or one-and-a-half times for HF patients, compared to typical patients with these conditions.

DESIGN

Cohort-based matching study PARTICIPANTS: One hundred percent Medicare Fee-for-Service beneficiaries with inpatient admissions between 2016 and 2019 for AMI, HF, and pneumonia.

MAIN MEASURES

Thirty-day all-location mortality KEY RESULTS: We defined multimorbidity as the presence of ≥1 QCS. The new definitions labeled fewer patients as multimorbid with a much higher risk of death compared to the conventional definition (≥2 comorbidities). The proportions of patients labeled as multimorbid using the new definition versus the conventional definition were: for AMI 47% versus 87% (p value<0.0001), HF 53% versus 98% (p value<0.0001), and pneumonia 57% versus 91% (p value<0.0001). Thirty-day mortality was higher among patients with ≥1 QCS compared to ≥2 comorbidities: for AMI 15.0% versus 9.5% (p<0.0001), HF 9.9% versus 7.0% (p <0.0001), and pneumonia 18.4% versus 13.2% (p <0.0001).

CONCLUSION

The presence of ≥2 comorbidities identified almost all patients as multimorbid. In contrast, our new QCS-based definitions selected more specific combinations of comorbidities associated with substantial excess risk in older patients admitted for AMI, HF, and pneumonia. Thus, our new definitions offer a better approach to identifying multimorbid patients, allowing physicians, hospitals, and policymakers to more effectively use such information to consider focused interventions for these vulnerable patients.

Multimorbidity and Complexity Among Patients with Cancer in Ontario: A Retrospective Cohort Study Exploring the Clustering of 17 Chronic Conditions with Cancer

BACKGROUND

Multimorbidity is a concern for people living with cancer, as over 90% have at least one other condition. Multimorbidity complicates care coming from multiple providers who work within separate, siloed systems. Information describing high-risk and high-cost disease combinations has potential to improve the experience, outcome, and overall cost of care by informing comprehensive care management frameworks. This study aimed to identify disease combinations among people with cancer and other conditions, and to assess the health burden associated with those combinations to help healthcare providers more effectively prioritize and coordinate care.

METHODS

We used a population-based retrospective cohort design including adults with a cancer diagnosis between March-2003 and April-2013, followed-up until March 2018. We used observed disease combinations defined by level of multimorbidity and partitive (k-means) clusters, ie groupings of similar diseases based on the prevalence of each condition. We assessed disease combination-associated health burden through health service utilization, including emergency department visits, primary care visits and hospital admissions during the follow-up period.

RESULTS

549,248 adults were included in the study. Anxiety, diabetes mellitus, hypertension, and osteoarthritis co-occurred with cancer 1.1 to 5.3 times more often than expected by chance. Disease combinations varied by cancer type and age but were similar between sexes. The largest partitive cluster included cancer and anxiety, with at least 25% of individuals also having osteoarthritis. Cancer also tended to co-occur with hypertension (8.0%) or osteoarthritis (6.2%). There were differences between clusters in healthcare utilization, regardless of the number of disease combinations or clustering approach used.

CONCLUSION

Researchers, clinicians, policymakers, and other stakeholders can use the clustering information presented here to improve the healthcare system for people with cancer multimorbidity by developing cluster-specific care management and clinical guidelines for common disease combinations.

A Tailored Discharge Program Improves Frailty and Mood in Patients Undergoing Usual Rehabilitative Care: A Randomized Controlled Trial

OBJECTIVE

To investigate whether a tailored intersectoral discharge program (TIDP) impacts on multidimensional frailty, rehospitalization days, and patient-related outcome measures in older in-patients undergoing acute care and usual rehabilitative care.

DESIGN

Randomized controlled trial of TIDP vs usual rehabilitative care with a 6-month follow-up, 2019-2020, and historical control with a 6-month follow-up, 2016-2019.

SETTING AND PARTICIPANTS

Geriatric co-managed internal medicine ward of a metropolitan university hospital. One hundred-twelve multimorbid patients older than age 60 years were consecutively assessed for eligibility and inclusion (age ≥60 years, multimorbidity, admitted for treatment of acute disease, at least 2 geriatric syndromes requiring usual rehabilitative care, and able to consent) and signed informed consent, with 110 recruited and randomized to either TIDP or usual rehabilitative care. At discharge, 104 patients were alive in the intention-to-treat group, the 6-month follow-up was completed for 91 patients. A historical control group of 468 patients was included for comparison.

INTERVENTION

TIDP as intervention included contact with treating general practitioner to discuss the further treatment plan, a structured medical and lifestyle counseling to patients and caregivers at admission as well as a discharge program with internist, geriatrician, and general practitioner in shared decision making with patients.

METHODS

Fifty-four patients underwent TIDP, 53 patients underwent usual rehabilitative care only. Rehospitalization days at follow-up as primary endpoint; multidimensional frailty and prognosis (Multidimensional Prognostic Index, Geriatric Depression Scale, Rosenberg Self-Esteem Scale, quality of life, falls, mortality, home care service need, and need of long-term care at 1-, 3- and 6-month follow-up as secondary endpoints.

RESULTS

TIDP (median age 76.0 years, 56% female) showed significantly improved Multidimensional Prognostic Index scores at discharge compared with usual rehabilitative care (median age 78.5 years, 58% female) (0.43 vs 0.49, P = .011). Compared with usual rehabilitative care, TIDP improved self-confidence (Rosenberg Self-Esteem Scale 13.9 vs 12.4, P = .009) and mood (Geriatric Depression Scale 4 vs 5, P = .027) at follow-up. Compared with historical control (median age 77.0 years, 39 % female), usual rehabilitative care patients showed significantly lower rehospitalization rates (53% vs 70%, P = .002) and lower mortality rates (13% vs 32%, P < .001).

CONCLUSIONS AND IMPLICATIONS

A feasible TIDP improves frailty and mood in advanced age. In older patients undergoing potentially disabling acute treatments, usual rehabilitative care significantly reduces rehospitalization rates. Therefore, implementing geriatric treatment in general is useful to improve outcomes in older in-patients and a tailored discharge program can further increase the benefit for this frail population.

Hospital Intervention to Reduce Overweight with Educational Reinforcement after Discharge: A Multicenter Randomized Clinical Trial

INTRODUCTION

Obesity and overweight affect more than one-third of the world's population and pose a major public health problem.

OBJECTIVE

To evaluate the impact of an educational intervention on dietary habits and physical exercise in patients with overweight admitted to departments of internal medicine, comprising a pre-discharge educational session with follow-up and reinforcement by telephone at 3, 6, and, 12 months post-discharge. Outcome variables were weight, systolic (SBP) and diastolic (DBP) blood pressures, health-related quality of life (HRQOL), hospital readmissions, emergency department visits, and death.

METHOD

A randomized experimental study with a control group was performed in hospitalized non-diabetic adults aged ≥18 years with body mass index (BMI) ≥25 Kg/m².

RESULTS AND CONCLUSIONS

The final sample included 273 patients. At three months post-discharge, the intervention group had lower SBP and DPB and improved dietary habits (assessed using the Pardo Questionnaire) and VAS-assessed HRQOL in comparison to the control group but a worse EQ-5Q-5L-assessed HRQOL. There were no between-group differences in hospital readmissions, emergency department visits, or mortality at any time point. Both groups evidenced a progressive improvement over the three follow-up periods in weight, SBP, and dietary habits but a worsening of EQ-5D-5L-value-assessed HRQOL.

DISCUSSION

The intervention group showed greater improvements over the short term, but between-group differences disappeared at 6 and 12 months. Weight loss and improvements in key outcomes were observed in both groups over the follow-up period. Further research is warranted to determine whether a minimum intervention with an educational leaflet, follow-up phone calls, and questionnaires on overweight-related healthy habits, as in the present control group, may be an equally effective strategy without specific individual educational input.

Predictivity of the comorbidity indices for geriatric syndromes

Background

The aging population and increasing chronic diseases make a tremendous burden on the health care system. The study evaluated the relationship between comorbidity indices and common geriatric syndromes.

Methods

A total of 366 patients who were hospitalized in a university geriatric inpatient service were included in the study. Sociodemographic characteristics, laboratory findings, and comprehensive geriatric assessment(CGA) parameters were recorded. Malnutrition, urinary incontinence, frailty, polypharmacy, falls, orthostatic hypotension, depression, and cognitive performance were evaluated. Comorbidities were ranked using the Charlson Comorbidity Index(CCI), Elixhauser Comorbidity Index(ECM), Geriatric Index of Comorbidity(GIC), and Medicine Comorbidity Index(MCI). Because, the CCI is a valid and reliable tool used in different clinical settings and diseases, patients with CCI score higher than four was accepted as multimorbid. Additionally, the relationship between geriatric syndromes and comorbidity indices was assessed with regression analysis.

Results

Patients’ mean age was 76.2 ± 7.25 years(67.8% female). The age and sex of multimorbid patients according to the CCI were not different compared to others. The multimorbid group had a higher rate of dementia and polypharmacy among geriatric syndromes. All four indices were associated with frailty and polypharmacy(p < 0.05). CCI and ECM scores were related to dementia, polypharmacy, and frailty. Moreover, CCI was also associated with separately slow walking speed and low muscle strength. On the other hand, unlike CCI, ECM was associated with malnutrition.

Conclusions

In the study comparing the four comorbidity indices, it is revealed that none of the indices is sufficient to use alone in geriatric practice. New indices should be developed considering the complexity of the geriatric cases and the limitations of the existing indices.

Challenges in the transition from resident to attending physician in general internal medicine: a multicenter qualitative study

BACKGROUND

The attending physician in general internal medicine (GIM) guarantees comprehensive care for persons with complex and/or multiple diseases. Attendings from other medical specialties often report that transitioning from resident to attending is burdensome and stressful. We set out to identify the specific challenges of newly appointed attendings in GIM and identify measures that help residents better prepare to meet these challenges.

METHODS

We explored the perceptions of 35 residents, attendings, and department heads in GIM through focus group discussions and semi-structured interviews. We took a thematic approach to qualitatively analyze this data.

RESULTS

Our analysis revealed four key challenges: 1) Embracing a holistic, patient centered perspective in a multidisciplinary environment; 2) Decision making under conditions of uncertainty; 3) Balancing the need for patient safety with the need to foster a learning environment for residents; and 4) Taking on a leader's role and orchestrating an interprofessional team of health care professionals. Newly appointed attendings required extensive practical experience to adapt to their new roles. Most attendings did not receive regular, structured, professional coaching during their transition, but those who did found it very helpful.

CONCLUSIONS

Newly appointed attending physician in GIM face a number of critical challenges that are in part specific to the field of GIM. Further studies should investigate whether the availability of a mentor as well as conscious assignment of a series of increasingly complex tasks during residency by clinical supervisors will facilitate the transition from resident to attending.

HOSPITAL Score and LACE Index to Predict Mortality in Multimorbid Older Patients

Background

Estimating life expectancy of older adults informs whether to pursue future investigation and therapy. Several models to predict mortality have been developed but often require data not immediately available during routine clinical care. The HOSPITAL score and the LACE index were previously validated to predict 30-day readmissions but may also help to assess mortality risk. We assessed their performance to predict 1-year and 30-day mortality in hospitalized older multimorbid patients with polypharmacy.

Methods

We calculated the HOSPITAL score and LACE index in patients from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly) trial (patients aged ≥ 70 years with multimorbidity and polypharmacy, admitted to hospital across four European countries in 2016–2018). Our primary and secondary outcomes were 1-year and 30-day mortality. We assessed the overall accuracy (scaled Brier score, the lower the better), calibration (predicted/observed proportions), and discrimination (C-statistic) of the models.

Results

Within 1 year, 375/1879 (20.0%) patients had died, including 94 deaths within 30 days. The overall accuracy was good and similar for both models (scaled Brier score 0.01–0.08). The C-statistics were identical for both models (0.69 for 1-year mortality, p = 0.81; 0.66 for 30-day mortality, p = 0.94). Calibration showed well-matching predicted/observed proportions.

Conclusion

The HOSPITAL score and LACE index showed similar performance to predict 1-year and 30-day mortality in older multimorbid patients with polypharmacy. Their overall accuracy was good, their discrimination low to moderate, and the calibration good. These simple tools may help predict older multimorbid patients’ mortality after hospitalization, which may inform post-hospitalization intensity of care.

Profile of Patients with Dementia or Cognitive Impairment Hospitalized with a Proximal Femur Fracture Requiring Surgery

This study reports the characteristics of patients with dementia or cognitive impairment hospitalized with a proximal femur fracture requiring surgery. Methods: Multicentric descriptive longitudinal study conducted in three traumatology units, representing high-technology public hospitals across Spain. Data collection took place between August 2018 and December 2019 upon admission to hospital, discharge, one month and three months after discharge. Results: Study participants (n = 174) were mainly women (81.6%), and the mean age was 90.7± 6.3 years old. Significant statistical differences were noted in the decline of functional capacity at baseline and one month later, and after three months they had still not recovered. Malnutrition increased from baseline to the one-month follow-up. The use of physical restraints increased during hospitalization, especially bilateral bedrails and a belt in the chair/bed. After one month, 15.2% of patients had pressure ulcers. Although pain decreased, it was still present after three months. Conclusion: Hospitalization after hip surgery for elderly people with dementia or cognitive impairment negatively impacted their global health outcomes such as malnutrition and the development of pressure ulcers, falls, functional impairment and the use of physical restraints and pain management challenges. Hospitals should implement policy-makers’ strategic dementia care plans to improve their outcomes.

Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study

BACKGROUND

Multimorbidity clinical risk scores allow clinicians to quickly assess their patients' health for decision making, often for recommendation to care management programs. However, these scores are limited by several issues: existing multimorbidity scores (1) are generally limited to one data group (eg, diagnoses, labs) and may be missing vital information, (2) are usually limited to specific demographic groups (eg, age), and (3) do not formally provide any granularity in the form of more nuanced multimorbidity risk scores to direct clinician attention.

OBJECTIVE

Using diagnosis, lab, prescription, procedure, and demographic data from electronic health records (EHRs), we developed a physiologically diverse and generalizable set of multimorbidity risk scores.

METHODS

Using EHR data from a nationwide cohort of patients, we developed the total health profile, a set of six integrated risk scores reflecting five distinct organ systems and overall health. We selected the occurrence of an inpatient hospital visitation over a 2-year follow-up window, attributable to specific organ systems, as our risk endpoint. Using a physician-curated set of features, we trained six machine learning models on 794,294 patients to predict the calibrated probability of the aforementioned endpoint, producing risk scores for heart, lung, neuro, kidney, and digestive functions and a sixth score for combined risk. We evaluated the scores using a held-out test cohort of 198,574 patients.

RESULTS

Study patients closely matched national census averages, with a median age of 41 years, a median income of $66,829, and racial averages by zip code of 73.8% White, 5.9% Asian, and 11.9% African American. All models were well calibrated and demonstrated strong performance with areas under the receiver operating curve (AUROCs) of 0.83 for the total health score (THS), 0.89 for heart, 0.86 for lung, 0.84 for neuro, 0.90 for kidney, and 0.83 for digestive functions. There was consistent performance of this scoring system across sexes, diverse patient ages, and zip code income levels. Each model learned to generate predictions by focusing on appropriate clinically relevant patient features, such as heart-related hospitalizations and chronic hypertension diagnosis for the heart model. The THS outperformed the other commonly used multimorbidity scoring systems, specifically the Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index (ECI) overall (AUROCs: THS=0.823, CCI=0.735, ECI=0.649) as well as for every age, sex, and income bracket. Performance improvements were most pronounced for middle-aged and lower-income subgroups. Ablation tests using only diagnosis, prescription, social determinants of health, and lab feature groups, while retaining procedure-related features, showed that the combination of feature groups has the best predictive performance, though only marginally better than the diagnosis-only model on at-risk groups.

CONCLUSIONS

Massive retrospective EHR data sets have made it possible to use machine learning to build practical multimorbidity risk scores that are highly predictive, personalizable, intuitive to explain, and generalizable across diverse patient populations.

Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study

BACKGROUND

the aim of this study was to examine the cross-sectional and longitudinal associations of different multimorbidity patterns with physical frailty in older adults.

METHODS

we used data from the Swedish National study on Aging and Care in Kungsholmen to generate a physical frailty measure, and clusters of participants with similar multimorbidity patterns were identified through fuzzy c-means cluster analyses. The cross-sectional association (n = 2,534) between multimorbidity clusters and physical frailty was measured through logistic regression analyses. Six- (n = 2,122) and 12-year (n = 2,140) longitudinal associations were determined through multinomial logistic regression analyses.

RESULTS

six multimorbidity patterns were identified at baseline: psychiatric diseases; cardiovascular diseases, anaemia and dementia; sensory impairments and cancer; metabolic and sleep disorders; musculoskeletal, respiratory and gastrointestinal diseases; and an unspecific pattern lacking any overrepresented diseases. Cross-sectionally, each pattern was associated with physical frailty compared with the unspecific pattern. Over 6 years, the psychiatric diseases (relative risk ratio [RRR]: 3.04; 95% confidence intervals [CI]: 1.59-5.79); cardiovascular diseases, anaemia and dementia (RRR 2.25; 95% CI: 1.13-4.49) and metabolic and sleep disorders (RRR 1.99; 95% CI: 1.25-3.16) patterns were associated with incident physical frailty. The cardiovascular diseases, anaemia and dementia (RRR: 4.81; 95% CI: 1.59-14.60); psychiatric diseases (RRR 2.62; 95% CI: 1.45-4.72) and sensory impairments and cancer (RRR 1.87; 95% CI: 1.05-3.35) patterns were more associated with physical frailty, compared with the unspecific pattern, over 12 years.

CONCLUSIONS

we found that older adults with multimorbidity characterised by cardiovascular and neuropsychiatric disease patterns are most susceptible to developing physical frailty.

The impact of hospital support function centralization on patient outcomes: A before-after study

Objectives

Study design

Methods

Results

Conclusions

•

Integrated health systems including multiple hospitals are increasingly frequent and can lead to economies of scale.

•

We found a decrease in readmissions and average length of stay associated with the centralization of support functions.

•

Additional studies are needed to evaluate the effect of health systems integration on patient outcomes.

Differences in Dietary Habits, Physical Exercise, and Quality of Life between Male and Female Patients with Overweight

Overweight can be an additional problem in patients admitted to hospital. Objective: To analyze gender differences in pre-admission dietary habits and physical exercise and in HRQoL at hospital discharge among hospitalized adults with overweight. Methods: Cross-sectional study in non-diabetic patients enrolled in a clinical trial with body mass index (BMI) ≥ 25 Kg/m² at admission. Bivariate analyses used Pearson’s chi-square test and Fisher’s exact test for qualitative variables and the Mann–Whitney test for numerical variables. Results: The study included 148 males and 127 females. At admission, women had higher BMI (p = 0.016) than men and a larger percentage consumed drugs for depression (p = 0.030) and anxiety (p = 0.049), and followed a religion-based diet (p = 0.022). Pre-admission, women had healthier habits related to dietary caloric intake (p = 0.009) and greater adherence to recommendations for a healthy diet (p = 0.001). At discharge, women described worse self-perceived health (p = 0.044) and greater pain/discomfort (p = 0.004) in comparison to men. Conclusions: Pre-admission, women had better habits related to a healthy diet and did not differ from men in habits related to physical exercise but had a higher BMI. At discharge, women reported worse self-perceived health and greater pain/discomfort. These differences should be considered for the adequate clinical management of patients with overweight.

A Descriptive Study of Emergency Department Visits Within 30 Days of Discharge

BACKGROUND

Unnecessary emergency department (ED) visits are a crucial consideration in discharge planning for acutely admitted patients. This study aimed to identify the reasons for unnecessary visits to the ED within 30 days of discharge from a medical hospitalist unit.

METHODS

We performed a retrospective review of patients discharged in 2018 from a medical unit of tertiary teaching hospital in Korea. The authors discussed in-depth and determined whether or not an ED visit was unnecessary, and further classified the causes of unnecessary visits into three categories.

RESULTS

The mean age of the patients was 62.9 years (range, 15-99 years), and among the 1,343 patients discharged from the unit, 720 (53.6%) were men. Overall, 215 patients (16.0%) visited the ED within 30 days after discharge; among them, 16.3% were readmitted. Of the 215 cases of ED visits within 30 days after discharge, 57 (26.5%) were considered unnecessary. Of these, 30 (52.6%) were categorized as having failed care transition, 15 (26.3%) had unestablished care plans for predictable issues, and 12 (21.1%) had insufficient patient education.

CONCLUSION

A substantial number of short-term ED visits by discharged multimorbid or older medical patients were considered unnecessary. Discharging patients with a thorough discharge plan is essential to avoid unnecessary ED visits.

The Relationship Between Childhood Adversity and Other Aspects of Clinical Complexity in Psychiatric Outpatients

Childhood abuse, neglect, and loss are common in psychiatric patients, and the relationship between childhood adversity and adult mental illness is well known. However, beyond diagnoses that are specifically trauma-related, such as posttraumatic stress disorder, there has been little research on how childhood adversity contributes to complex presentations that require more intensive treatment. We examined the relationship between childhood adversity and other contributors to clinical complexity in adult outpatients seeking mental health assessment. In a cross-sectional study, patients completed standard measures of psychological distress and functional impairment. Psychiatrists completed an inventory of clinical complexity, which included childhood abuse, neglect, and loss. Of 4,903 patients seen over 15 months, 1,315 (27%) both consented to research and had the measure of complexity completed. Childhood abuse or neglect was identified in 474 (36.0%) and significant childhood loss in 236 (17.9%). Correcting for multiple comparisons and controlling for psychiatric diagnosis, age, and sex, patients with childhood abuse or neglect were significantly more likely to also have 11 of 31 other indices of clinical complexity, with odds ratios ranging from 1.7 to 5.0. Both childhood abuse or neglect and childhood loss were associated with greater overall complexity (i.e., more indices of complexity, χ² = 136 and 38 respectively, each p < .001). Childhood abuse and neglect (but not childhood loss) were significantly associated with psychological distress (Kessler Psychological Distress Scale [K10] score, F = 6.2, p = .01) and disability (World Health Organization Disability Assessment Scale 2.0 [WHODAS 2.0] score, F = 5.0, p = .03). Childhood abuse and neglect were associated with many characteristics that contribute to clinical complexity, and thus to suboptimal outcomes to standard, guideline-based care. Screening may alert psychiatrists to the need for intensive, patient-centered, and trauma-informed treatments. Identifying childhood adversity as a common antecedent of complexity may facilitate developing transdiagnostic programs that specifically target sources of complexity.

Differences in Dietary Habits, Physical Exercise, and Quality of Life between Patients with Obesity and Overweight

BACKGROUND

Overweight and obesity differ in their repercussions on the health and health-related quality of life (HRQoL) of patients. The objective of this study was to compare physical activity levels and dietary habits before admission and HRQoL at discharge between patients with obesity and overweight.

METHODS

A cross-sectional study was undertaken among participants in a clinical trial on education for healthy eating and physical activity, enrolling non-diabetic patients admitted to Internal Medicine Departments. These were classified by body mass index (BMI) as having overweight (25-29.9 Kg/m²) or obesity (≥30 kg/m²). Data were gathered on sociodemographic characteristics, clinical variables (medication for anxiety/depression, Charlson Comorbidity Index, length of hospital stay), physical exercise and diet (International Physical Activity and Pardo Questionnaires), and HRQoL (EQ-5D-5L). The study included 98 patients with overweight (58.2% males) and 177 with obesity (52% males).

RESULTS

In comparison to patients with obesity, those with overweight obtained better results for regular physical exercise (p = 0.007), healthy diet (p = 0.004), and "emotional eating" (p = 0.017). No between-group difference was found in HqoL scores.

CONCLUSION

Patients with overweight and obesity differ in healthy dietary and physical exercise behaviors. Greater efforts are warranted to prevent an increase in the BMI of patients, paying special attention to their state of mind.

Impact of Religiosity on Delirium Severity Among Critically Ill Shi'a Muslims: A Prospective Multi-Center Observational Study

This study assesses the impact of religiosity on delirium severity and patient outcomes among Shi'a Muslim intensive care unit (ICU) patients. We conducted a prospective observational cohort study in 21 ICUs from 6 Iranian academic medical centers. Delirium was assessed using the Confusion Assessment Method for the ICU (CAM-ICU) tool. Eligible patients were intubated, receiving mechanical ventilation (MV) for ≥ 48 h. Illness severity was assessed using Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. A total of 4200 patients were enrolled. Patient religiosity was categorized as more (40.6%), moderate (42.3%), or less (17.1%) based on responses to patient and surrogate questionnaires. The findings suggest that lower pre-illness religiosity may be associated with greater delirium severity, MV duration, and ICU and hospital LOS. The lower mortality in the less religiosity group may be related in part to a greater proportion of female patients, but it remains unclear whether and to what extent greater religiosity impacted treatment decisions by patients and families. Further investigation is needed to validate and clarify the mechanism of the mortality findings.

Hospital outcomes and early readmission for the most common gastrointestinal and liver diseases in the United States: Implications for healthcare delivery

BACKGROUND

Gastrointestinal (GI) and liver diseases contribute to substantial inpatient morbidity, mortality, and healthcare resource utilization. Finding ways to reduce the economic burden of healthcare costs and the impact of these diseases is of crucial importance. Thirty-day readmission rates and related hospital outcomes can serve as objective measures to assess the impact of and provide further insights into the most common GI ailments.

AIM

To identify the thirty-day readmission rates with related predictors and outcomes of hospitalization of the most common GI and liver diseases in the United States.

METHODS

A cross-sectional analysis of the 2012 National Inpatient Sample was performed to identify the 13 most common GI diseases. The 2013 Nationwide Readmission Database was then queried with specific International Classification of Diseases, Ninth Revision, Clinical Modification codes. Primary outcomes were mortality (index admission, calendar-year), hospitalization costs, and thirty-day readmission and secondary outcomes were predictors of thirty-day readmission.

RESULTS

For the year 2013, the thirteen most common GI diseases contributed to 2.4 million index hospitalizations accounting for about $25 billion. The thirty-day readmission rates were highest for chronic liver disease (25.4%), Clostridium difficile (C. difficile) infection (23.6%), functional/motility disorders (18.5%), inflammatory bowel disease (16.3%), and GI bleeding (15.5%). The highest index and subsequent calendar-year hospitalization mortality rates were chronic liver disease (6.1% and 12.6%), C. difficile infection (2.3% and 6.1%), and GI bleeding (2.2% and 5.0%), respectively. Thirty-day readmission correlated with any subsequent admission mortality (r = 0.798, P = 0.001). Medicare/Medicaid insurances, ≥ 3 Elixhauser comorbidities, and length of stay > 3 d were significantly associated with thirty-day readmission for all the thirteen GI diseases.

CONCLUSION

Preventable and non-chronic GI disease contributed to a significant economic and health burden comparable to chronic GI conditions, providing a window of opportunity for improving healthcare delivery in reducing its burden.

Australian Injury Comorbidity Indices (AICIs) to predict burden and readmission among hospital-admitted injury patients

BACKGROUND

Existing comorbidity measures predict mortality among general patient populations. Due to the lack of outcome specific and patient-group specific measures, the existing indices are also applied to non-mortality outcomes in injury epidemiology. This study derived indices to capture the association between comorbidity, and burden and readmission outcomes for injury populations.

METHODS

Injury-related hospital admissions data from July 2012 to June 2014 (161,334 patients) for the state of Victoria, Australia were analyzed. Various multivariable regression models were run and results used to derive both binary and weighted indices that quantify the association between comorbidities and length of stay (LOS), hospital costs and readmissions. The new and existing indices were validated internally among patient subgroups, and externally using data from the states of New South Wales and Western Australia.

RESULTS

Twenty-four comorbidities were significantly associated with overnight stay, twenty-seven with LOS, twenty-eight with costs, ten with all-cause and eleven with non-planned 30-day readmissions. The number of and types of comorbidities, and their relative impact were different to the associations established with the existing Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Measure (ECM). The new indices performed equally well to the long-listed ECM and in certain instances outperformed the CCI.

CONCLUSIONS

The more parsimonious, up to date, outcome and patient-specific indices presented in this study are better suited for use in present injury epidemiology. Their use can be trialed by hospital administrations in resource allocation models and patient classification models in clinical settings.

Clustering and Healthcare Costs With Multiple Chronic Conditions in a US Study

Objective: To investigate healthcare costs and contributors to costs for multiple chronic conditions (MCCs), common clusters of conditions and their impact on cost and utilization. Methods: This was a cross-sectional analysis of US financial claims data representative of the US population, including Medicare, Medicaid, and Commercial insurance claims in 2015. Outcome measures included healthcare costs and contributors; ranking of clusters of conditions according to frequency, strength of association and unsupervised (k-means) analysis; the impact of clustering on costs and contributors to costs. Results: Of 1,878,951 patients, 931,045(49.6%) had MCCs, 56.5% weighted to the US population. Mean age was 53.0 years (SD16.7); 393,121(42.20%) were male. Mean annual healthcare spending was $12,601, ranging from $4,385 (2 conditions) to $33,874 (11 conditions), with spending increasing by 22-fold for inpatient services, 6-fold for outpatient services, 4.5-fold for generic drugs, and 4.2-fold for branded drugs. Cluster ranking using the 3 methodologies yielded similar results: highest ranked clusters included metabolic syndrome (12.2% of US insured patients), age related diseases (7.7%), renal failure (5.6%), respiratory disorders (4.5%), cardiovascular disease(CVD) (4.3%), cancers (4.1-4.3%), mental health-related clusters (1.0-1.5%), and HIV/AIDS (0.2%). Highest spending was in HIV/AIDS clusters ($48,293), mental health-related clusters ($38,952-$40,637), renal disease ($38,551), and CVD ($37,155); with 89.9% of spending on outpatient and inpatient care combined, and 10.1% on medication. Conclusion and Relevance: Over 57% of insured patients in the US may have MCCs. MCC Clustering is frequent and is associated with healthcare utilization. The findings favor health system redesign toward a multiple condition approach for clusters of chronic conditions, alongside other cost-containment measures for MCCs.

Interventions for improving outcomes in patients with multimorbidity in primary care and community settings

BACKGROUND

Many people with chronic disease have more than one chronic condition, which is referred to as multimorbidity. The term comorbidity is also used but this is now taken to mean that there is a defined index condition with other linked conditions, for example diabetes and cardiovascular disease. It is also used when there are combinations of defined conditions that commonly co-exist, for example diabetes and depression. While this is not a new phenomenon, there is greater recognition of its impact and the importance of improving outcomes for individuals affected. Research in the area to date has focused mainly on descriptive epidemiology and impact assessment. There has been limited exploration of the effectiveness of interventions to improve outcomes for people with multimorbidity.

OBJECTIVES

To determine the effectiveness of health-service or patient-oriented interventions designed to improve outcomes in people with multimorbidity in primary care and community settings. Multimorbidity was defined as two or more chronic conditions in the same individual.

SEARCH METHODS

We searched MEDLINE, EMBASE, CINAHL and seven other databases to 28 September 2015. We also searched grey literature and consulted experts in the field for completed or ongoing studies.

SELECTION CRITERIA

Two review authors independently screened and selected studies for inclusion. We considered randomised controlled trials (RCTs), non-randomised clinical trials (NRCTs), controlled before-after studies (CBAs), and interrupted time series analyses (ITS) evaluating interventions to improve outcomes for people with multimorbidity in primary care and community settings. Multimorbidity was defined as two or more chronic conditions in the same individual. This includes studies where participants can have combinations of any condition or have combinations of pre-specified common conditions (comorbidity), for example, hypertension and cardiovascular disease. The comparison was usual care as delivered in that setting.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted data from the included studies, evaluated study quality, and judged the certainty of the evidence using the GRADE approach. We conducted a meta-analysis of the results where possible and carried out a narrative synthesis for the remainder of the results. We present the results in a 'Summary of findings' table and tabular format to show effect sizes across all outcome types.

MAIN RESULTS

We identified 17 RCTs examining a range of complex interventions for people with multimorbidity. Nine studies focused on defined comorbid conditions with an emphasis on depression, diabetes and cardiovascular disease. The remaining studies focused on multimorbidity, generally in older people. In 11 studies, the predominant intervention element was a change to the organisation of care delivery, usually through case management or enhanced multidisciplinary team work. In six studies, the interventions were predominantly patient-oriented, for example, educational or self-management support-type interventions delivered directly to participants. Overall our confidence in the results regarding the effectiveness of interventions ranged from low to high certainty. There was little or no difference in clinical outcomes (based on moderate certainty evidence). Mental health outcomes improved (based on high certainty evidence) and there were modest reductions in mean depression scores for the comorbidity studies that targeted participants with depression (standardized mean difference (SMD) -0.41, 95% confidence interval (CI) -0.63 to -0.2). There was probably a small improvement in patient-reported outcomes (moderate certainty evidence). The intervention may make little or no difference to health service use (low certainty evidence), may slightly improve medication adherence (low certainty evidence), probably slightly improves patient-related health behaviours (moderate certainty evidence), and probably improves provider behaviour in terms of prescribing behaviour and quality of care (moderate certainty evidence). Cost data were limited.

AUTHORS' CONCLUSIONS

This review identifies the emerging evidence to support policy for the management of people with multimorbidity and common comorbidities in primary care and community settings. There are remaining uncertainties about the effectiveness of interventions for people with multimorbidity in general due to the relatively small number of RCTs conducted in this area to date, with mixed findings overall. It is possible that the findings may change with the inclusion of large ongoing well-organised trials in future updates. The results suggest an improvement in health outcomes if interventions can be targeted at risk factors such as depression in people with co-morbidity.

Effect of socio-demographic and health factors on the association between multimorbidity and acute care service use: population-based survey linked to health administrative data

BACKGROUND

This study explores how socio-demographic and health factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) in older adults in Ontario, Canada.

METHODS

We linked multiple cycles (2005-2006, 2007-2008, 2009-2010, 2011-2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older. Administrative data were used to estimate one-year service use and to identify 12 chronic conditions used to measure multimorbidity. We examined the relationship between multimorbidity and service use stratified by a range of socio-demographic and health variables available from the CCHS. Logistic and Poisson regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in this relationship.

RESULTS

Of the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. This study did not find strong evidence of moderator or interaction effects across a range of socio-demographic factors. Stratified analyses revealed further patterns, with many being similar for both services - e.g., the odds ratios were higher at all levels of multimorbidity for men, older age groups, and those with lower household income. Rurality and immigrant status influenced emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and the range of socio-demographic variables remained significant predictors of service use in the regressions.

CONCLUSIONS

Strong evidence links multimorbidity with increased acute care service use. This study showed that a range of factors did not modify this relationship. Nevertheless, the factors were independently associated with acute care service use, pointing to modifiable risk factors that can be the focus of resource allocation and intervention design to reduce service use in those with multimorbidity. The study's results suggest that optimizing acute care service use in older adults requires attention to both multimorbidity and social determinants, with programs that are multifactorial and integrated across the health and social service sectors.

[Health care for patients with multimorbidity. The perception of professionals]

Objetivo

Explorar las percepciones de los profesionales sanitarios sobre las características de la atención sanitaria a pacientes con multimorbilidad.

Diseño

Estudio cualitativo de trayectoria fenomenológica realizado entre enero y septiembre de 2015 mediante 3 entrevistas grupales (grupos de discusión) y 15 individuales.

Emplazamiento

Servicio Aragonés de Salud.

Participantes

Profesionales médicos y de enfermería del Servicio Aragonés de Salud pertenecientes a distintos servicios: Medicina Interna, Atención Primaria, Urgencias y Gestión. También se incluyó un farmacéutico.

Métodos

Se realizó un muestreo intencional no probabilístico que permitiese configurar las unidades muestrales buscando criterios de representatividad del discurso, permitiendo conocer e interpretar el fenómeno estudiado en profundidad, en sus diferentes visiones. Se entrevistó a profesionales sanitarios con perfiles diferentes que conociesen en profundidad la atención a pacientes con multimorbilidad. Las entrevistas fueron grabadas, transcritas literalmente e interpretadas, mediante el análisis social del discurso.

Resultados

Se identifica una cultura profesional orientada a la atención de enfermedades individuales, falta de coordinación entre especialidades, pacientes sometidos a numerosas prescripciones, Guías de Práctica Clínica y formación especialmente centradas en enfermedades individuales.

Conclusiones

Tanto la cultura profesional como la organización del sistema sanitario se encuentran orientadas a la atención de enfermedades individuales, lo que redunda en dificultades para ofrecer una atención más integral a los pacientes con multimorbilidad.

The influence of integrated geriatric outpatient clinics on the health care utilization of older people

Background

The number of people aged greater than 65 years is growing in many countries. Taiwan will be a superaged society in 2026, and health care utilization will increase considerably. Our study aimed to evaluate the efficacy of the geriatric integrated outpatient clinic model for reducing health care utilization by older people.

Methods

This was a retrospective case-control study. Patients aged greater than 65 years seen at the geriatric outpatient clinic (Geri-OPD) and non-geriatric outpatient clinic (non-Geri-OPD) at a single medical centre were age and sex matched. Data on the number of outpatient clinic visits, emergency department visits, hospitalizations and medical expenditures were collected during the first and second years. A subgroup analysis by Charlson comorbidity index (CCI) and older age (age≧80 years) was performed, and the results were compared between the Geri-OPD and non-Geri-OPD groups.

Results

A total of 6723 patients were included (3796 women and 2927 men). The mean age was 80.42 ± 6.39 years. There were 1291 (19.2%) patients in the Geri-OPD group and 5432 (80.8%) patients in the non-Geri-OPD group. After one year of regular follow-up, the Geri-OPD patients showed a significant reduction in the types of drugs included in each prescription (5.62 ± 10.85) and the number of clinic visits per year (18.18 ± 48.85) (P < 0.01). After a two-year follow-up, the number of clinic visits, emergency department visits, and hospitalizations and the annual medical costs were still decreased in the Geri-OPD patients. The Geri-OPD patients had more comorbidities and a higher rate of health care utilization than the non-Geri-OPD patients. In the subgroup analysis, patients with more comorbidities (CCI≧2) and an older age (≧80 years) in the Geri-OPD group showed a significant reduction in health care utilization. The Geri-OPD patients also showed a significant decrease in medical utilization in the second year compared with the non-Geri-POD patients.

Conclusion

The Geri-OPD reduced medical costs, the number of drugs prescribed, and the frequency of outpatient clinic visits, emergency department visits and hospitalizations in older patients with complicated conditions. The effect was even better in the second year.

Sociodemographic and lifestyle predictors of incident hospital admissions with multimorbidity in a general population, 1999-2019: the EPIC-Norfolk cohort

BACKGROUND

The ageing population and prevalence of long-term disorders with multimorbidity are a major health challenge worldwide. The associations between comorbid conditions and mortality risk are well established; however, few prospective community-based studies have reported on prior risk factors for incident hospital admissions with multimorbidity. We aimed to explore the independent associations for a range of demographic, lifestyle and physiological determinants and the likelihood of subsequent hospital incident multimorbidity.

METHODS

We examined incident hospital admissions with multimorbidity in 25 014 men and women aged 40-79 in a British prospective population-based study recruited in 1993-1997 and followed up until 2019. The determinants of incident multimorbidity, defined as Charlson Comorbidity Index ≥3, were investigated using multivariable logistic regression models for the 10-year period 1999-2009 and repeated with independent measurements in a second 10-year period 2009-2019.

RESULTS

Between 1999 and 2009, 18 179 participants (73% of the population) had a hospital admission. Baseline 5-year and 10-year incident multimorbidities were observed in 6% and 12% of participants, respectively. Age per 10-year increase (OR 2.19, 95% CI 2.06 to 2.33) and male sex (OR 1.32, 95% CI 1.19 to 1.47) predicted incident multimorbidity over 10 years. In the subset free of the most serious diseases at baseline, current smoking (OR 1.86, 95% CI 1.60 to 2.15), body mass index >30 kg/m² (OR 1.48, 95% CI 1.30 to 1.70) and physical inactivity (OR 1.16, 95% CI 1.04 to 1.29) were positively associated and plasma vitamin C (a biomarker of plant food intake) per SD increase (OR 0.86, 95% CI 0.81 to 0.91) inversely associated with incident 10-year multimorbidity after multivariable adjustment for age, sex, social class, education, alcohol consumption, systolic blood pressure and cholesterol. Results were similar when re-examined for a further time period in 2009-2019.

CONCLUSION

Age, male sex and potentially modifiable lifestyle behaviours including smoking, body mass index, physical inactivity and low fruit and vegetable intake were associated with increased risk of future incident hospital admissions with multimorbidity.

Predicting Patients at Risk for Prolonged Hospital Stays

BACKGROUND

Patients with prolonged hospitalizations account for 14% of all hospital days in US hospitals. Predicting which medical patients are at risk for prolonged hospitalizations would allow early proactive management to reduce their length of stay.

METHODS

Using the National Inpatient Sample, we examined risk factors for prolonged hospitalizations among adults hospitalized on the medicine service in 2014. We defined prolonged hospitalizations as those lasting 21 days or longer. We divided the sample into derivation and validation sets, and used logistic regression to identify significant risk factors in the derivation set, which were validated in the validation set. We used the estimates from the model to derive a risk score for prolonged hospitalizations.

RESULTS

Our sample included 2,997,249 hospitalizations (median age of 66 y, 53.5% female). 1.2% of hospitalizations were 21 days or longer. Patients with prolonged hospitalizations were younger, and had a greater number of chronic diseases. A prolonged hospitalization risk score, derived from the many significant predictors in our model, performed well in discriminating between prolonged and nonprolonged hospitalizations, with c-statistics of 0.80 in both the derivation and validation sets.

CONCLUSIONS

Our predictive model using readily available administrative data was able to discriminate between prolonged and nonprolonged hospitalizations in a national sample of medical patients, and performed well on internal validation. If prospectively validated, such a tool could be of use to hospitals and researchers interested in targeting development, testing, and/or deployment of programs to reduce length of stay.

Association of patterns of multimorbidity with length of stay: A multinational observational study

The aim of this study was to identify the combinations of chronic comorbidities associated with length of stay (LOS) among multimorbid medical inpatients.Multinational retrospective cohort of 126,828 medical inpatients with multimorbidity, defined as ≥2 chronic diseases (data collection: 2010-2011). We categorized the chronic diseases into comorbidities using the Clinical Classification Software. We described the 20 combinations of comorbidities with the strongest association with prolonged LOS, defined as longer than or equal to country-specific LOS, and reported the difference in median LOS for those combinations. We also assessed the association between the number of diseases or body systems involved and prolonged LOS.The strongest association with prolonged LOS (odds ratio [OR] 7.25, 95% confidence interval [CI] 6.64-7.91, P < 0.001) and the highest difference in median LOS (13 days, 95% CI 12.8-13.2, P < 0.001) were found for the combination of diseases of white blood cells and hematological malignancy. Other comorbidities found in the 20 top combinations had ORs between 2.37 and 3.65 (all with P < 0.001) and a difference in median LOS of 2 to 5 days (all with P < 0.001), and included mostly neurological disorders and chronic ulcer of skin. Prolonged LOS was associated with the number of chronic diseases and particularly with the number of body systems involved (≥7 body systems: OR 21.50, 95% CI 19.94-23.18, P < 0.001).LOS was strongly associated with specific combinations of comorbidities and particularly with the number of body systems involved. Describing patterns of multimorbidity associated with LOS may help hospitals anticipate resource utilization and judiciously allocate services to shorten LOS.

Impact of obesity on adverse in-hospital outcomes in patients undergoing percutaneous mitral valve edge-to-edge repair using MitraClip® procedure - Results from the German nationwide inpatient sample

BACKGROUND AND AIM

The number of percutaneous edge-to-edge mitral regurgitation (MR) valve repairs with MitraClip® implantations increased exponentially in recent years. Studies have suggested an obesity survival paradox in patients with cardiovascular diseases. We investigated the influence of obesity on adverse in-hospital outcomes in patients with MitraClip® implantation.

METHODS AND RESULTS

We analyzed data on characteristics of patients and in-hospital outcomes for all percutaneous mitral valve repairs using the edge-to-edge MitraClip®-technique in Germany 2011-2015 stratified for obesity vs. normal-weight/over-weight. The nationwide inpatient sample comprised 13,563 inpatients undergoing MitraClip® implantations. Among them, 1017 (7.5%) patients were coded with obesity. Obese patients were younger (75 vs.77 years,P < 0.001), more often female (45.4% vs.39.5%,P < 0.001), had more often heart failure (87.1% vs.79.2%,P < 0.001) and renal insufficiency (67.0% vs.56.4%,P < 0.001). Obese and non-obese patients were comparable regarding major adverse cardiac and cerebrovascular events (MACCE) and in-hospital death. The combined endpoint of cardio-pulmonary resuscitation (CPR), mechanical ventilation and death was more often reached in non-obese than in obese patients with a trend towards significance (20.6%vs.18.2%,P = 0.066). Obesity was an independent predictor of reduced events regarding the combined endpoint of CPR, mechanical ventilation and death (OR 0.75, 95%CI 0.64-0.89,P < 0.001), but not for reduced in-hospital mortality (P = 0.355) or reduced MACCE rate (P = 0.108). Obesity class III was associated with an elevated risk for pulmonary embolism (OR 5.66, 95%CI 1.35-23.77,P = 0.018).

CONCLUSIONS

We observed an obesity paradox regarding the combined endpoint of CPR, mechanical ventilation and in-hospital death in patients undergoing MitraClip® implantation, but our results failed to confirm an impact of obesity on in-hospital survival or MACCE.

Care of older people with Cognitive Impairment or Dementia Hospitalized in Traumatology Units (CARExDEM): a quasi-experiment

BACKGROUND

In our context, as in other European countries, care of patients with cognitive disorders or dementia still represents a major challenge in hospital settings. Thus, there is a need to ensure quality and continuity of care, avoiding preventable readmissions, which involve an increase in public expenses. Healthcare professionals need to acquire the necessary knowledge and skills to care for hospitalized patients with cognitive disorders and dementia.

METHODS

A quasi-experimental design with repeated observations, taken at baseline, post-intervention, and at one and three months post-intervention, in people hospitalized with cognitive disorders or dementia. The study will be carried out in four general hospitals in Spain and will include 430 PwD and their caregivers. The intervention was previously developed using the Balance of Care methodology where nurses, physicians, social workers and informal caregivers identified the best practices for this specific care situation. We aim to personalize the intervention, as recommended in the literature. The study has an innovative approach that includes new technologies and previous scientific evidence. Valid, reliable instruments will be used to measure the intervention outcomes. Quality of care and comorbidity will be analyzed based on the use of restraints and psychotropic medication, pain control, falls, functional capacity and days of hospitalization. Continuity of care will be measured based on post-discharge emergency hospital visits, visits to specialists, cost, and inter-sectorial communication among healthcare professionals and informal caregivers. Statistical analysis will be performed to analyze the effect of the intervention on quality of care, comorbidity and continuity of care for patients with dementia.

DISCUSSION

Our aim is to helping healthcare professionals to improve the management of cognitive disorders or dementia care during hospitalization and the quality of care, comorbidity and continuity of care in patients with dementia and their informal caregivers. Moving towards dementia-friendly environments is vital to achieving the optimum care outcomes.

TRIAL REGISTRATION

Registered in Clinical Trials. ClinicalTrials.gov Identifier: NCT04048980 retrospectively registered on the 6th August 2019. https://clinicaltrials.gov/ Protocol Record HCB/2017/0499.

SPONSOR

Hospital Clinic Barcelona.

Pain Neuroscience Education Plus Usual Care Is More Effective Than Usual Care Alone to Improve Self-Efficacy Beliefs in People with Chronic Musculoskeletal Pain: A Non-Randomized Controlled Trial

Self-efficacy beliefs are associated with less physical impairment and pain intensity in people with chronic pain. Interventions that build self-efficacy beliefs may foster behavioral changes among this population. A non-randomized trial has been carried out to evaluate the effectiveness of pain neuroscience education (PNE) plus usual care in modifying self-efficacy beliefs, pain intensity, pain interference and analgesics consumption in people with chronic musculoskeletal pain. Participants were allocated to an experimental (PNE plus usual care, n = 49) and a control (usual care alone, n = 51) group. The primary outcome was self-efficacy beliefs (Chronic Pain Self-Efficacy Scale), and the secondary outcomes were pain intensity, pain interference (Graded Chronic Pain Scale) and analgesics consumption. The participant's pain knowledge (revised Neurophysiology of Pain Questionnaire) after PNE intervention was also assessed to analyze its influence on every outcome measure. All the outcome measures were assessed at the baseline and at four-week and four-month follow-ups. PNE plus usual care was more effective than usual care alone to increase self-efficacy beliefs and decrease pain intensity and pain interference at all follow-up points. No differences between groups were found in terms of analgesics consumption. Knowledge of pain neurophysiology did not modify the effects of PNE plus usual care in any of the outcome measures. These results should be taken with caution because of the non-randomized nature of this design, the limited follow-ups and the uncertainty of the presence of clinical changes in self-efficacy for participants. Larger, methodological sound trials are needed.

Use and outcomes of mechanical ventilation for people with severe mental disorders admitted due to natural causes: A nationwide population-based study

OBJECTIVE

To characterize temporal trends and outcomes of invasive mechanical ventilation (MV) for people with severe mental disorders (SMD) admitted due to natural causes.

METHODS

We identified all 224,507 hospitalizations of patients aged 15-69 who underwent MV in Spain between 2000 and 2015, excluding poisonings and injuries, and divided them by presence of an SMD diagnosis. We compared the two study groups regarding demographic and clinical characteristics and examined time trends in the incidence of MV and in-hospital mortality.

RESULTS

SMD patients were younger and had fewer comorbidities and lower in-hospital mortality than the non-SMD group. However, among patients admitted due to circulatory diseases, SMD patients had higher mortality risk (OR = 1.39; 95%CI = 1.22-1.59). In the SMD group, the increase in MV use quadrupled that of non-SMD patients (Average Annual Percent Change = 6.9%; 95%CI = 5.5-8.3 vs. 1.5%; 0.9-2.0, respectively). Overall in-hospital mortality declined similarly in both study groups. While the SMD group's circulatory-specific mortality also decreased, by 2015 it remained elevated in comparison to non-SMD patients (44% vs. 38%, respectively).

CONCLUSION

The increase in MV use due to natural causes among people with SMD outpaced that of non-SMD patients, with comparable decreasing trends in mortality. Although declining, SMD patients' higher circulatory-specific mortality risk requires further investigation.

Role of Frailty on Risk Stratification in Cardiac Surgery and Procedures

The number of older people candidates for interventional cardiology, such as PCI but especially for transcatheter aortic valve implantation (TAVI) , would increase in the future. Generically, the surgical risk, the amount of complications in the perioperative period, mortality and severe disability remain significantly higher in the elderly than in younger. For this reason it's important to determine the indication for surgical intervention, using tools able to predict not only the classics outcome (length of stay, mortality), but also those more specifically geriatrics, correlate to frailty: delirium, cognitive deterioration, risk of institutionalization and decline in functional status. The majority of the most used surgical risks scores are often specialist-oriented and many variables are not considered. The need of a multidimensional diagnostic process, focused on detect frailty, in order to program a coordinated and integrated plan for treatment and long term follow up, led to the development of a specific geriatric tool: the Comprehensive Geriatric Assessment (CGA). The CGA has the aim to improve the prognostic ability of the current risk scores to capture short long term mortality and disability, and helping to resolve a crucial issue providing solid clinical indications to help physician in the definition of on interventional approach as futile. This tool will likely optimize the selection of TAVI older candidates could have the maximal benefit from the procedure.

Supporting surgeons in patient-centred complex decision-making: a qualitative analysis of the impact of a perioperative physician clinic

OBJECTIVE

Patients with comorbidities can be referred to a physician-led high-risk clinic for medical optimisation prior to elective surgery at the discretion of the surgical consultant, but the factors that influence this referral are not well understood. The aims of this study were to understand the factors that influence a surgeon's decision to refer a patient to the clinic, and how the clinic impacts on the management of complex patients.

DESIGN

Qualitative study using theoretical thematic analysis to analyse transcribed semi-structured interviews.

SETTING

Interviews were held in either the surgical consultant's private office or a quiet office/room in the hospital ward.

PARTICIPANTS

Seven surgical consultants who were eligible to refer patients to the clinic.

RESULTS

When discussing the factors that influence a referral to the clinic, all participants initially described the optimisation of comorbidities and would then discuss with examples the challenges with managing complex patients and communicating the risks involved with having surgery. When discussing the role of the clinic, two related subthemes were dominant and focused on the management of risk in complex patients. The participants valued the involvement of the clinic in the decision-making and communication of risks to the patient.

CONCLUSIONS

The integration of the high-risk clinic in this study appears to offer additional value in supporting the decision-making process for the surgical team and patient beyond the clinical outcomes. The factors that influence a surgeon's decision to refer a patient to the clinic appear to be driven by the aim to manage the uncertainty and risk to the patient regarding surgery and it was seen as a strategy for managing difficult and complex cases.

Holiday Discharges Are Associated with Higher 30-Day General Internal Medicine Hospital Readmissions at an Academic Medical Center

OBJECTIVE

Academic medical centers face unique challenges in educating physician trainees in effective discharge practices to prevent readmissions. Meanwhile, residents must handle high workloads coupled with frequent rotations to different services. This study aimed to determine whether daily service census, service turnover, time of discharge, and day of discharge increase the risk of 30-day readmission.

METHODS

All of the discharges from two academic general internal medicine teaching services between October 1, 2013 and September 30, 2014 were included in this observational data analysis. Variables were fit to a 30-day, all-cause readmission outcome using multiple logistic regression with inverse probability of treatment weighting and multiple imputations with chained equations. The following potential confounding variables were included in the model: health system utilization, demographics, laboratory values, and comorbidities.

RESULTS

Among 1935 total discharges, 258 patients (13.3%) were readmitted within 30 days of the index discharge. Turnover, service census, weekend discharge, and time of discharge were not significantly associated with the risk of readmission. Patients discharged during holiday periods had higher odds of readmission (odds ratio 2.56, 95% confidence interval 2.01-3.25), whereas patients discharged on an intern switch day had lower odds of readmission (odds ratio 0.33, 95% confidence interval 0.27-0.41).

CONCLUSIONS

Patients who are discharged during holiday periods are at a higher risk of readmission after adjusting for potential confounders. These results also suggest that discharge on an intern switch day had a protective effect on readmission. Further work is needed to examine whether these findings can be replicated, and, if confirmed, to determine to what extent these associations are causal.

The Associations Between Physical and Psychological Symptoms and Traumatic Military Deployment Exposures

Current paradigms regarding the effects of traumatic exposures on military personnel do not consider physical symptoms unrelated to injury or illness as independent outcomes of trauma exposure, characteristically dealing with these symptoms as comorbidities of psychological disorders. Our objective was to ascertain the proportions of deployed military personnel who experienced predominantly physical symptoms, predominantly psychological symptoms, and comorbidity of the two and to examine the association between traumatic deployment exposures (TDEs) and these symptomatic profiles. Data were taken from a cross-sectional study of Australian Defence Force personnel who were deployed to the Middle East during 2001-2009 (N = 14,032). Four groups were created based on distributional splits of physical and psychological symptom scales: low-symptom, psychological, physical, and comorbid. Multinomial logistic regression models assessed the probability of symptom group membership, compared with low-symptom, as predicted by self-reported TDEs. Group proportions were: low-symptom, 78.3%; physical, 5.0%; psychological, 9.3%; and comorbid, 7.5%. TDEs were significant predictors of all symptom profiles. For subjective, objective, and human death and degradation exposures, respectively, the largest relative risk ratios (RRRs) were for the comorbid profile, RRRs = 1.47, 1.19, 1.48; followed by the physical profile, RRRs = 1.27, 1.15, 1.40; and the psychological profile, RRRs = 1.22, 1.07, 1.22. Almost half of participants with physical symptoms did not have comorbid psychological symptoms, suggesting that physical symptoms can occur as a discrete outcome trauma exposure. The similar dose-response association between TDEs and the physical and psychological profiles suggests trauma is similarly associated with both outcomes.

Use of latent class analysis to identify multimorbidity patterns and associated factors in Korean adults aged 50 years and older

Introduction

Multimorbidity associated with significant disease and economic burdens is common among the aged. We identified chronic disease multimorbidity patterns in Koreans 50 years of age or older, and explored whether such patterns were associated with particular sociodemographic factors and health-related quality-of-life.

Methods

The multimorbidity patterns of 10 chronic diseases (hypertension, dyslipidemia, stroke, osteoarthritis, tuberculosis, asthma, allergic rhinitis, depression, diabetes mellitus, and thyroid disease) were identified via latent class analysis of data on 8,370 Korean adults aged 50+ years who participated in the sixth Korean National Health and Nutrition Examination Survey (2013–2015). The associations between multimorbidity patterns, and sociodemographic factors and health-related quality of life, were subjected to regression analysis.

Results

Three patterns of multimorbidity were identified: 1) a relatively healthy group (60.4% of the population); 2) a ‘cardiometabolic conditions’ group (27.8%); and, 3) an ‘arthritis, asthma, allergic rhinitis, depression, and thyroid disease’ group (11.8%). The female (compared to male) gender was associated with an increased likelihood of membership of the cardiometabolic conditions group (odds ratio [OR] = 1.32, 95% confidence interval [CI] = 1.15–1.51) and (to a much greater extent) the arthritis, asthma, allergy, depression, and thyroid disease group (OR = 4.32, 95% CI = 3.30–5.66). Low socioeconomic status was associated with membership of the two multimorbidity classes. Membership of the arthritis, asthma, allergy, depression, and thyroid disease group was associated with a significantly poorer health-related quality-of-life than was membership of the other two groups.

Conclusion

The co-occurrence of chronic diseases was not attributable to chance. Multimorbidity patterns were associated with sociodemographic factors and quality-of-life. Our results suggest that targeted, integrated public health and clinical strategies dealing with chronic diseases should be based on an understanding of multimorbidity patterns; this would improve the quality-of-life of vulnerable multimorbid adults.

The effect of a pharmaceutical transitional care program on rehospitalisations in internal medicine patients: an interrupted-time-series study

Background

Medication errors at transition of care can adversely affect patient safety. The objective of this study is to determine the effect of a transitional pharmaceutical care program on unplanned rehospitalisations.

Methods

An interrupted-time-series study was performed, including patients from the Internal Medicine department using at least one prescription drug. The program consisted of medication reconciliation, patient counselling at discharge, and communication to healthcare providers in primary care. The primary outcome was the proportion of patients with an unplanned rehospitalisation within six months post-discharge. Secondary outcomes were drug-related hospital visits, drug-related problems (DRPs), adherence, believes about medication, and patient satisfaction. Interrupted time series analysis was used for the primary outcome and descriptive statistics were performed for the secondary outcomes.

Results

In total 706 patients were included. At 6 months, the change in trend for unplanned rehospitalisations between usual care and the program group was non-significant (− 0.2, 95% CI -4.9;4.6). There was no significant difference for drug-related visits although visits due to medication reconciliation problems occurred less often (4 usual care versus 1 intervention). Interventions to prevent DRPs were present for all patients in the intervention group (mean: 10 interventions/patient). No effect was seen on adherence and beliefs about medication. Patients were significantly more satisfied with discharge counselling (68.9% usual care vs 87.1% program).

Conclusions

The transitional pharmaceutical care program showed no effect on unplanned rehospitalisations. This lack of effect is probably because the reason for rehospitalisations are multifactorial while the transitional care program focused on medication. There were less hospital visits due to medication reconciliation problems, but further large scale studies are needed due to the small number of drug-related visits. (Dutch trial register: NTR1519).

Multimorbidity and healthcare resource utilization in Switzerland: a multicentre cohort study

BACKGROUND

Multimorbidity is associated with higher healthcare resource utilization, but we lack data on the association of specific combinations of comorbidities with healthcare resource utilization. We aimed to identify the combinations of comorbidities associated with high healthcare resource utilization among multimorbid medical inpatients.

METHODS

We performed a multicentre retrospective cohort study including 33,871 multimorbid (≥2 chronic diseases) medical inpatients discharged from three Swiss hospitals in 2010-2011. Healthcare resource utilization was measured as 30-day potentially avoidable readmission (PAR), prolonged length of stay (LOS) and difference in median LOS. We identified the combinations of chronic comorbidities associated with the highest healthcare resource utilization and quantified this association using regression techniques.

RESULTS

Three-fourths of the combinations with the strongest association with PAR included chronic kidney disease. Acute and unspecified renal failure combined with solid malignancy was most strongly associated with PAR (OR 2.64, 95%CI 1.79;3.90). Miscellaneous mental health disorders combined with mood disorders was the most strongly associated with LOS (difference in median LOS: 17 days) and prolonged LOS (OR 10.77, 95%CI 8.38;13.84). The number of chronic diseases was strongly associated with prolonged LOS (OR 9.07, 95%CI 8.04;10.24 for ≥10 chronic diseases), and to a lesser extent with PAR (OR 2.16, 95%CI 1.75;2.65 for ≥10 chronic diseases).

CONCLUSIONS

Multimorbidity appears to have a higher impact on LOS than on PAR. Combinations of comorbidities most strongly associated with healthcare utilization included kidney disorders for PAR, and mental health disorders for LOS.

The Effect of Pre-existing Seizure Disorders on Mortality and Hospital Length of Stay Following Burn Injury

Patients with a seizure disorder have a higher incidence of burn injury; however, there are limited studies that examine the association between pre-existing seizure disorders (PSD) and burn outcomes. This is a retrospective study of admitted burn patients. Variables analyzed include patient demographics, clinical characteristics, associated PSD, hospital length of stay (LOS), and mortality. Multivariate logistic regression was performed to analyze the impact of PSD on burn mortality and LOS. Seven thousand six hundred and forty patients met the inclusion criteria and 1.31% (n = 100) patients had a PSD. There was no difference in mortality rate between patients with or without PSD (odds ratio [OR] = 2.28, 95% confidence interval [CI] = 0.87 to 5.93). Multivariate logistic regression showed that patients with PSD had significantly increased odds of longer hospital LOS (OR = 2.85, 95% CI = 1.73 to 4.67). Seizure disorder management is mandatory in reducing burn injury and decreasing the costs associated with increased hospital LOS.

Mixed method evaluation of Relational Team Development (RELATED) to improve team-based care for complex patients with mental illness in primary care

BACKGROUND

Patients with mental illness are frequently treated in primary care, where Primary Care Providers (PCPs) report feeling ill-equipped to manage their care. Team-based models of care improve outcomes for patients with mental illness, but multiple barriers limit adoption. Barriers include practical issues and psychosocial factors associated with the reorganization of care. Practice facilitation can improve implementation, but does not directly address the psychosocial factors or gaps in PCP skills in managing mental illness. To address these gaps, we developed Relational Team Development (RELATED).

METHODS

RELATED is an implementation strategy combining practice facilitation and psychology clinical supervision methodologies to improve implementation of team-based care. It includes PCP-level clinical coaching and a team-level practice change activity. We performed a preliminary assessment of RELATED with a convergent parallel mixed method study in 2 primary care clinics in an urban Federally Qualified Health Center in Southwest, USA, 2017-2018. Study participants included PCPs, clinic staff, and patient representatives. Clinic staff and patients were recruited for the practice change activity only. Primary outcomes were feasibility and acceptability. Feasibility was assessed as ease of recruitment and implementation. Acceptability was measured in surveys of PCPs and staff and focus groups. We conducted semi-structured focus groups with 3 participant groups in each clinic: PCPs; staff and patients; and leadership. Secondary outcomes were change in pre- post- intervention PCP self-efficacy in mental illness management and team-based care. We conducted qualitative observations to better understand clinic climate.

RESULTS

We recruited 18 PCPs, 17 staff members, and 3 patient representatives. We ended recruitment early due to over recruitment. Both clinics developed and implemented practice change activities. The mean acceptability score was 3.7 (SD=0.3) on a 4-point Likert scale. PCPs had a statistically significant increase in their mental illness management self-efficacy [change = 0.9, p-value= <.01]. Focus group comments were largely positive, with PCPs requesting additional coaching.

CONCLUSIONS

RELATED was feasible and highly acceptable. It led to positive changes in PCP self-efficacy in Mental Illness Management. If confirmed as an effective implementation strategy, RELATED has the potential to significantly impact implementation of evidence-based interventions for patients with mental illness in primary care.

Designing the relational team development intervention to improve management of mental health in primary care using iterative stakeholder engagement

Background

Team-based models of care are efficacious in improving outcomes for patients with mental and physical illnesses. However, primary care clinics have been slow to adopt these models. We used iterative stakeholder engagement to develop an intervention to improve the implementation of team-based care for this complex population.

Methods

We developed the initial framework for Relational Team Development (RELATED) from a qualitative study of Primary Care Providers’ (PCPs’) experiences treating mental illness and a literature review of practice facilitation and psychology clinical supervision. Subsequently, we surveyed 900 Colorado PCPs to identify factors associated with PCP self-efficacy in management of mental illness and team-based care. We then conducted two focus groups for feedback on RELATED. Lastly, we convened an expert panel to refine the intervention.

Results

We developed RELATED, a two-part intervention delivered by a practice facilitator with a background in clinical psychology. The facilitator observes PCPs during patient visits and provides individualized coaching. Next, the facilitator guides the primary care team through a practice change activity with a focus on relational team dynamics.

Conclusion

The iterative development of RELATED using stakeholder engagement offers a model for the development of interventions tailored to the needs of these stakeholders.

Trial registration

Not applicable.

Electronic supplementary material

The online version of this article (10.1186/s12875-019-1010-z) contains supplementary material, which is available to authorized users.

Effect of dementia on the incidence, short-term outcomes, and resource utilization of invasive mechanical ventilation in the elderly: a nationwide population-based study

BACKGROUND

Though the prevalence of dementia among hospitalized patients is increasing, there is limited population data in Europe about the use of life-support measures such as invasive mechanical ventilation in these patients. Our objective is to assess whether dementia influences the incidence, outcomes, and hospital resource use in elderly patients undergoing mechanical ventilation.

METHODS

Using ICD-9-CM codes, all hospitalizations involving invasive mechanical ventilation in adults aged ≥ 65 years were identified in the Spanish national hospital discharge database covering the period 2000-2013. The cases identified were stratified into two cohorts (patients with or without dementia) in which main outcome measures were compared. The impact of dementia on in-hospital mortality and hospital resource use were assessed through multivariable models. Trends were assessed through joinpoint regression analysis and results expressed as average annual percentage change.

RESULTS

Of the 259,623 cases identified, 5770 (2.2%) had been assigned codes for dementia. Cases with dementia were older, had a lower Charlson comorbidity score, and less frequently received prolonged mechanical ventilation or were assigned a surgical DRG. Circulatory disease was the most common main diagnosis in both cohorts. No significant impact of dementia was observed on in-hospital mortality (adjusted OR 1.04, [95% CI] 0.98, 1.09). In the cohort with dementia, the incidence of mechanical ventilation underwent an average annual increase over time of 5.39% (95% CI 4.0, 6.7) while this rate was 1.62% (95% CI 0.9, 2.4) in cases without dementia. However, unlike this cohort, mortality in cases with dementia did not significantly decline over time. Geometric mean hospital cost and stay were lower among cases with than without dementia (- 14% [95% CI - 12%, - 15%] and - 12% [95% CI, - 9%, - 14%], respectively), and these differences increased over time.

CONCLUSION

This nationwide population-based study suggests no impact of dementia on in-hospital mortality in elderly patients undergoing invasive mechanical ventilation. However, dementia is significantly associated with shorter stay and hospital costs. Our data also identifies a recent marked increase in the use of this life-support measure in elderly patients with dementia and that this increase is much greater than that observed in elderly individuals without dementia.

Prevalence, characteristics, and patterns of patients with multimorbidity in primary care: a retrospective cohort analysis in Canada

BACKGROUND

Multimorbidity is a complex issue in modern medicine and a more nuanced understanding of how this phenomenon occurs over time is needed.

AIM

To determine the prevalence, characteristics, and patterns of patients living with multimorbidity, specifically the unique combinations (unordered patterns) and unique permutations (ordered patterns) of multimorbidity in primary care.

DESIGN AND SETTING

A retrospective cohort analysis of the prospectively collected data from 1990 to 2013 from the Canadian Primary Care Sentinel Surveillance Network electronic medical record database.

METHOD

Adult primary care patients who were aged ≥18 years at their first recorded encounter were followed over time. A list of 20 chronic condition categories was used to detect multimorbidity. Computational analyses were conducted using the Multimorbidity Cluster Analysis Tool to identify all combinations and permutations.

RESULTS

Multimorbidity, defined as two or more and three or more chronic conditions, was prevalent among adult primary care patients and most of these patients were aged <65 years. Among female patients with two or more chronic conditions, 6075 combinations and 14 891 permutations were detected. Among male patients with three or more chronic conditions, 4296 combinations and 9716 permutations were detected. While specific patterns were identified, combinations and permutations became increasingly rare as the total number of chronic conditions and patient age increased.

CONCLUSION

This research confirms that multimorbidity is common in primary care and provides empirical evidence that clinical management requires a tailored, patient-centred approach. While the prevalence of multimorbidity was found to increase with increasing patient age, the largest proportion of patients with multimorbidity in this study were aged <65 years.