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

Development of a predictive score for potentially avoidable hospital readmissions for general internal medicine patients

BACKGROUND

Identifying patients at high risk of hospital preventable readmission is an essential step towards selecting those who might benefit from specific transitional interventions.

OBJECTIVE

Derive and validate a predictive risk score for potentially avoidable readmission (PAR) based on analysis of readmissions, with a focus on medication.

DESIGN/SETTING/PARTICIPANTS

Retrospective analysis of all hospital admissions to internal medicine wards between 2011 and 2014. Comparison between patients readmitted within 30 days and non-readmitted patients, as identified using a specially designed algorithm. Univariate and multivariate regression analyses of demographic data, clinical diagnoses, laboratory results, and the medication data of patients admitted during the first period (2011-2013), to identify factors associated with PAR. Using these, derive a predictive score with a regression coefficient-based scoring method. Subsequently, validate this score with a second cohort of patients admitted in 2013-2014. Variables were identified at hospital discharge.

RESULTS

The derivation cohort included 7,317 hospital stays. Multivariate logistic regressions found significant associations with PAR for: [adjusted OR (95% CI)] hospital length of stay > 4 days [1.3 (1.1-1.7)], admission in previous 6 months [2.3 (1.9-2.8)], heart failure [1.3 (1.0-1.7)], chronic ischemic heart disease [1.7 (1.2-2.3)], diabetes with organ damage [2.2 (1.3-3.8)], cancer [1.4 (1.0-1.9)], metastatic carcinoma [1.9 (1.3-3.0)], anemia [1.2 (1.0-1.5)], hypertension [1.3 (1.1-1.7)], arrhythmia [1.3 (1.0-1.6)], hyperkalemia [1.4 (1.0-1.7)], opioid drug prescription [1.3 (1.1-1.6)], and acute myocardial infarction [0.6 (0.4-0.9)]. The PAR-Risk Score, derived from these results, demonstrated fair discriminatory and calibration power (C-statistic = 0.699; Brier Score = 0.069). The results for the validation cohort's operating characteristics were similar (C-statistic = 0.687; Brier Score = 0.064).

CONCLUSION

This study identified routinely-available factors that were significantly associated with PAR. A predictive score was derived and internally validated.

High perceived social support and hospital readmissions in an older multi-ethnic, limited English proficiency, safety-net population

BACKGROUND

Early readmission amongst older safety-net hospitalized adults is costly. Interventions to prevent early readmission have had mixed success. The role of perceived social support is unclear. We examined the association of perceived social support in 30-day readmission or death in older adults admitted to a safety-net hospital.

METHODS

This is an observational cohort study derived from the Support From Hospital to Home for Elders (SHHE) trial. Participants were community-dwelling English, Spanish and Chinese speaking older adults admitted to medicine wards at an urban safety-net hospital in San Francisco. We assessed perceived social support using the Multidimensional Scale of Perceived Social Support (MSPSS). We defined high social support as the highest quartile of MSPSS. We ascertained 30-day readmission and mortality based on a combination of participant self-report, hospital and death records. We used multiple/multivariable logistic regression to adjust for patient demographics, health status, and health behaviors. We tested for whether race/ethnicity modified the effect high social support had on 30-day readmission or death by including a race-social support interaction term.

RESULTS

Participants (n = 674) had mean age of 66.2 (SD 9.0), with 18.8% White, 24.8% Black, 31.9% Asian, and 19.3% Latino. The 30-day readmission or death rate was 15.0%. Those with high social support had half the odds of readmission or death than those with low social support (OR = 0.47, 95% CI 0.26-0.88). Interaction analyses revealed race modified this association; higher social support was protective against readmission or death among minorities (AOR = 0.35, 95% CI 0.16-0.76) but increased likelihood of readmission or death among Whites (AOR = 3.7, 95% CI 1.07-12.9).

CONCLUSION

In older safety-net patients nearing discharge, high perceived social support may protect against 30-day readmission or death among minorities. Assessing patients' social support may aid targeting of transitional care resources and intervention design. How perceived social support functions across racial/ethnic groups in health outcomes warrants further study.

TRIAL REGISTRATION

NIH trials registry number ClinicalTrials.gov: NCT01221532 .

Defining Multimorbidity in Older Surgical Patients

BACKGROUND

There are numerous definitions of multimorbidity (MM). None systematically examines specific comorbidity combinations accounting for multiple testing when exploring large datasets.

OBJECTIVES

Develop and validate a list of all single, double, and triple comorbidity combinations, with each individual qualifying comorbidity set (QCS) more than doubling the odds of mortality versus its reference population. Patients with at least 1 QCS were defined as having MM.

RESEARCH DESIGN

Cohort-based study with a matching validation study.

SUBJECTS

All fee-for-service Medicare patients between age 65 and 85 without dementia or metastatic solid tumors undergoing general surgery in 2009-2010, and an additional 2011-2013 dataset.

MEASURES

30-day all-location mortality.

RESULTS

There were 576 QCSs (2 singles, 63 doubles, and 511 triples), each set more than doubling the odds of dying. In 2011, 36% of eligible patients had MM. As a group, multimorbid patients (mortality rate=7.0%) had a mortality Mantel-Haenszel odds ratio=1.90 (1.77-2.04) versus a reference that included both multimorbid and nonmultimorbid patients (mortality rate=3.3%), and Mantel-Haenszel odds ratio=3.72 (3.51-3.94) versus only nonmultimorbid patients (mortality rate=1.6%). When matching 3151 pairs of multimorbid patients from low-volume hospitals to similar patients in high-volume hospitals, the mortality rates were 6.7% versus 5.2%, respectively (P=0.006).

CONCLUSIONS

A list of QCSs identified a third of older patients undergoing general surgery that had greatly elevated mortality. These sets can be used to identify vulnerable patients and the specific combinations of comorbidities that make them susceptible to poor outcomes.

The impact of dementia on hospital outcomes for elderly patients with sepsis: A population-based study

BACKGROUND

Prior studies have suggested that dementia adversely influences clinical outcomes and increases resource utilization in patients hospitalized for acute diseases. However, there is limited population-data information on the impact of dementia among elderly hospitalized patients with sepsis.

METHODS

From the 2009-2011 National Hospital Discharge Database we identified hospitalizations in adults aged ≥65 years. Using ICD9-CM codes, we selected sepsis cases, divided them into two cohorts (with and without dementia) and compared both groups with respect to organ dysfunction, in-hospital mortality and the use of hospital resources. We estimated the impact of dementia on these primary endpoints through multivariate regression models.

RESULTS

Of the 148 293 episodes of sepsis identified, 16 829 (11.3%) had diagnoses of dementia. Compared to their dementia-free counterparts, they were more predominantly female and older, had a lower burden of comorbidities and were more frequently admitted due to a principal diagnosis of sepsis. The dementia cohort showed a lower risk of organ dysfunction (adjusted OR: 0.84, 95% Confidence Interval [CI]: 0.81, 0.87) but higher in-hospital mortality (adjusted OR: 1.32, 95% [CI]: 1.27, 1.37). The impact of dementia on mortality was higher in the cases of younger age, without comorbidities and without organ dysfunction. The cases with dementia also had a lower length of stay (-3.87 days, 95% [CI]: -4.21, -3.54) and lower mean hospital costs (-3040€, 95% [CI]: -3279, -2800).

CONCLUSIONS

This nationwide population-based study shows that dementia is present in a substantial proportion of adults ≥65s hospitalized with sepsis, and while the condition does seem to come with a lower risk of organ dysfunction, it exerts a negative influence on in-hospital mortality and acts as an independent mortality predictor. Furthermore, it is significantly associated with shorter length of stay and lower hospital costs.

The global burden of multiple chronic conditions: A narrative review

Globally, approximately one in three of all adults suffer from multiple chronic conditions (MCCs). This review provides a comprehensive overview of the resulting epidemiological, economic and patient burden. There is no agreed taxonomy for MCCs, with several terms used interchangeably and no agreed definition, resulting in up to three-fold variation in prevalence rates: from 16% to 58% in UK studies, 26% in US studies and 9.4% in Urban South Asians. Certain conditions cluster together more frequently than expected, with associations of up to three-fold, e.g. depression associated with stroke and with Alzheimer's disease, and communicable conditions such as TB and HIV/AIDS associated with diabetes and CVD, respectively. Clusters are important as they may be highly amenable to large improvements in health and cost outcomes through relatively simple shifts in healthcare delivery. Healthcare expenditures greatly increase, sometimes exponentially, with each additional chronic condition with greater specialist physician access, emergency department presentations and hospital admissions. The patient burden includes a deterioration of quality of life, out of pocket expenses, medication adherence, inability to work, symptom control and a high toll on carers. This high burden from MCCs is further projected to increase. Recommendations for interventions include reaching consensus on the taxonomy of MCC, greater emphasis on MCCs research, primary prevention to achieve compression of morbidity, a shift of health systems and policies towards a multiple-condition framework, changes in healthcare payment mechanisms to facilitate this change and shifts in health and epidemiological databases to include MCCs.

Impact of comorbidities and delay in diagnosis in elderly patients with pulmonary hypertension

Patient age at diagnosis of pulmonary hypertension is steadily increasing. The present study sought to analyse clinical characteristics, time to diagnosis and prognosis of pulmonary hypertension in elderly and very elderly patients.

A study was conducted in a French regional referral centre for pulmonary hypertension. All consecutive patients diagnosed with pre-capillary pulmonary hypertension were included and categorised according to age: <65 years (“young”), 65–74 years (“elderly”) and ≥75 years (“very elderly”).

Over a 4-year period, 248 patients were included: 101 (40.7%) were young, 82 (33.1%) were elderly and 65 (26.2%) were very elderly. The median age at diagnosis among the total population was 68 years. Compared with young patients, elderly and very elderly patients had a longer time to diagnosis (7±48, 9±21 and 16±32 months, respectively; p<0.001). Patients ≥75 years also more often had group 4 pulmonary hypertension. The median overall survival was 46±1.4 months, but was only 37±4.9 months in elderly patients and 28±4.7 months in very elderly patients. Survival from the first symptoms and survival adjusted to comorbidity was similar across age groups.

Patient age should be taken into account when diagnosing pulmonary hypertension as it is associated with a specific clinical profile and a worse prognosis. The difference in prognosis is likely to be related to a delay in diagnosis and a greater number of comorbidities.

More than a quarter of patients diagnosed with pre-capillary pulmonary hypertension are older than 75 years; they have a poorer prognosis, likely related to a longer delay in diagnosis and a higher burden of comorbiditieshttp://ow.ly/87FQ30m0WM7

The development of multimorbidity during 16 years after diagnosis of type 2 diabetes

Objective:

The aims of this study were to (1) quantify the development and composition of multimorbidity (MM) during 16 years following the diagnosis of type 2 diabetes and (2) evaluate whether the effectiveness of structured personal diabetes care differed between patients with and without MM.

Research design and methods:

One thousand three hundred eighty-one patients with newly diagnosed type 2 diabetes were randomized to receive either structured personal diabetes care or routine diabetes care. Patients were followed up for 19 years in Danish nationwide registries for the occurrence of outcomes. We analyzed the prevalence and degree of MM based on 10 well-defined disease groups. The effect of structured personal care in diabetes patients with and without MM was analyzed with Cox regression models.

Results:

The proportion of patients with MM increased from 31.6% at diabetes diagnosis to 80.4% after 16 years. The proportion of cardiovascular and gastrointestinal diseases in surviving patients decreased, while, for example, musculoskeletal, eye, and neurological diseases increased. The effect of the intervention was not different between type 2 diabetes patients with or without coexisting chronic disease.

Conclusions:

In general, the proportion of patients with MM increased after diabetes diagnosis, but the composition of chronic disease changed during the 16 years. We found cardiovascular and musculoskeletal disease to be the most prevalent disease groups during all 16 years of follow-up. The post hoc analysis of the intervention showed that its effectiveness was not different among patients who developed MM compared to those who continued to have diabetes alone.

Severe morbidity among hospitalised adults with acute influenza and other respiratory infections: 2014-2015 and 2015-2016

Our objective was to identify predictors of severe acute respiratory infection in hospitalised patients and understand the impact of vaccination and neuraminidase inhibitor administration on severe influenza. We analysed data from a study evaluating influenza vaccine effectiveness in two Michigan hospitals during the 2014-2015 and 2015-2016 influenza seasons. Adults admitted to the hospital with an acute respiratory infection were eligible. Through patient interview and medical record review, we evaluated potential risk factors for severe disease, defined as ICU admission, 30-day readmission, and hospital length of stay (LOS). Two hundred sixteen of 1119 participants had PCR-confirmed influenza. Frailty score, Charlson score and tertile of prior-year healthcare visits were associated with LOS. Charlson score >2 (OR 1.5 (1.0-2.3)) was associated with ICU admission. Highest tertile of prior-year visits (OR 0.3 (0.2-0.7)) was associated with decreased ICU admission. Increasing tertile of visits (OR 1.5 (1.2-1.8)) was associated with 30-day readmission. Frailty and prior-year healthcare visits were associated with 30-day readmission among influenza-positive participants. Neuraminidase inhibitors were associated with decreased LOS among vaccinated participants with influenza A (HR 1.6 (1.0-2.4)). Overall, frailty and lack of prior-year healthcare visits were predictors of disease severity. Neuraminidase inhibitors were associated with reduced severity among vaccine recipients.

Patient and health system factors associated with hospital readmission in older adults without cognitive impairment

OBJECTIVE

To study the factors associated with hospital readmission.

METHODS

Data used in this study came from a population-based survey of older adults without cognitive impairment. Cox regression was used to assess the factors associated with readmission within a 2-year follow-up period. According to Andersen's model of healthcare seeking behavior, study variables considered included predisposing, enabling and need factors at the individual and health system levels.

RESULTS

Of the 433 participants with an index hospitalization, 97% were discharged with a physical and 3% with a psychiatric disorder. During follow-up, 29% (128/433) were readmitted with a median time to readmission reaching 83 days. The risk of readmission was associated with the following: age, marital status, attraction index of the region of residence for psychiatric services, the presence of an anxio-depressive and other mental disorder, as well as a disorder of the musculoskeletal system. The presence of a physical and psychiatric comorbidity was also associated with readmission.

CONCLUSIONS

Post-discharge follow-up of vulnerable populations with a history of mental disorders and improved availability of psychiatric services in the community are associated with a reduced risk of readmission.

Association between multimorbidity and undiagnosed obstructive sleep apnea severity and their impact on quality of life in men over 40 years old

Background.

Multimorbidity is common but little is known about its relationship with obstructive sleep apnea (OSA).

Methods.

Men Androgen Inflammation Lifestyle Environment and Stress Study participants underwent polysomnography. Chronic diseases (CDs) were determined by biomedical measurement (diabetes, dyslipidaemia, hypertension, obesity), or self-report (depression, asthma, cardiovascular disease, arthritis). Associations between CD count, multimorbidity, apnea-hyponea index (AHI) and OSA severity and quality-of-life (QoL; mental & physical component scores), were determined using multinomial regression analyses, after adjustment for age.

Results.

Of the 743 men participating in the study, overall 58% had multimorbidity (2+ CDs), and 52% had OSA (11% severe). About 70% of those with multimorbidity had undiagnosed OSA. Multimorbidity was associated with AHI and undiagnosed OSA. Elevated CD count was associated with higher AHI value and increased OSA severity.

Conclusion.

We demonstrate an independent association between the presence of OSA and multimorbidity in this representative sample of community-based men. This effect was strongest in men with moderate to severe OSA and three or more CDs, and appeared to produce a greater reduction in QoL when both conditions were present together.

Inpatient burden of esophageal cancer and analysis of factors affecting in-hospital mortality and length of stay

Esophageal cancer (EC) continues to be a major source of morbidity and mortality in the United States. However, there has been a relative dearth of research into hospital utilization in patients with EC. This study examines temporal trends in hospital admissions, length of stay (LOS), mortality, and costs associated with EC. In addition, we also analyzed factors associated with inpatient mortality and LOS. We interrogated National Inpatient Sample (NIS), a large registry of inpatient data, to retrieve information about various demographic and factors associated with hospital stay in patients who were admitted for EC between the years 1998 and 2013 in the United States. After examining trends over time, multivariate analysis was performed to identify factors associated with LOS and mortality. During 1998-2013, 538,776 hospital stays with principal diagnosis of EC were reviewed. Number of hospital stays and inpatient charges increased by 397 per year (±67.8; P < 0.0001) and $3,033 per patient per year (±135; <0.0001) respectively. Mortality and LOS decreased by 0.23% per year (±0.03; P < 0.0001) and 0.07 days per year (±0.006; P < 0.0001) respectively. Multiple factors associated with LOS and mortality were outlined. Despite overall increase in hospital utilization with respect to number of admissions and inpatient charges, inpatient mortality and LOS associated with EC declined. Factors associated with inpatient mortality and LOS may help drive clinical decision-making and influence healthcare or hospital policy.

Emergency department presentation and readmission after index psychiatric admission: a data linkage study

OBJECTIVE

To use linked administrative datasets to assess factors associated with emergency department (ED) presentation and psychiatric readmission in three distinctive time intervals after the index psychiatric admission.

DESIGN

A retrospective data-linkage study.

SETTING

Cohort study using four linked government minimum datasets including acute hospital care from July 2005 to June 2012 in New South Wales, Australia.

PARTICIPANTS

People who were alive and aged ≥18 years on 1 July 2005 and who had their index admission to a psychiatric ward from 1 July 2007 to 30 June 2010.

OUTCOME MEASURES

ORs of factors associated with psychiatric admission and ED presentation were calculated for three intervals: 0-1 month, 2-5 months and 6-24 months after index separation.

RESULTS

Index admission was identified in 35 056 individuals (51% -males) with a median age of 42 years. A total of 12 826 (37%) individuals had at least one ED presentation in the 24 months after index admission. Of those, 3608 (28%) presented within 0-1 month, 6350 (50%) within 2-5 months and 10 294 (80%) within 6-24 months after index admission. A total of 14 153 (40%) individuals had at least one psychiatric readmission in the first 24 months. Of those, 6808 (48%) were admitted within 0-1 month, 6433 (45%) within 2-5 months and 7649 (54%) within 6-24 months after index admission. Principal diagnoses and length of stay at index admission, sociodemographic factors, Charlson Comorbidity Index score, drug and alcohol comorbidity, intellectual disability and other inpatient service use were significantly associated with ED presentations and psychiatric readmissions, and these relationships varied somewhat over the intervals studied.

CONCLUSION

Social determinants of service use, drug and alcohol intervention, addressing needs of individuals with intellectual disability and recovery-oriented whole-person approaches at index admission are key areas for investment to improve trajectories after index admission.

Tools for the Assessment of Comorbidity Burden in Rheumatoid Arthritis

Introduction

Comorbidities influence the prognosis, clinical outcomes, disease activity, and treatment response in rheumatoid arthritis (RA). RA patients have a high-comorbidity burden necessitating their study. Comorbidity indices are used to measure comorbidities and to study their impacts on different outcomes. A large number of such indices are used in clinical research. Some indices have been specifically developed in RA patients.

Aim

This review aims to provide an overview of generic and specific comorbidity indices commonly used in RA research.

Methods

We performed a critical literature review of comorbidity indices in RA using the PubMed database.

Results/discussion

This non-systematic literature review provides an overview of generic and specific comorbidity indices commonly used in RA studies. Some of the older but commonly used comorbidity indices like the Charlson comorbidity index and the Elixhauser comorbidity measure were primarily developed to estimate mortality risk from comorbid diseases. They were not specifically developed for RA patients but have been widely used in rheumatology comorbidity measurement. Of the many comorbidity indices available, only the rheumatic disease comorbidity index (RDCI) and the multimorbidity index have been specifically developed in RA patients. The functional comorbidity index was developed to look at functional disability and has been used in RA patients considering that morbidity is more important than mortality in such patients. While there is limited data comparing these indices, available evidence seems to favor the use of RDCI as it predicts mortality, hospitalization, disability, and healthcare utilization. The choice of the index, however, depends on several factors such as the population under study, outcome of interest, and sources of data. More research is needed to study the RA-specific comorbidity measures to make evidence-based recommendations for the choice of a comorbidity measure.

Service description and analysis for an interprofessional discharge clinic within a primary care practice

At care transitions, patients are susceptible to adverse events and medication errors that can lead to harm or hospital readmission. This study describes the services provided by an interprofessional discharge clinic (IDC) aimed to improve these transitions and the impact on 30-day readmission rate, medication errors, and interventions documented. Data were collected retrospectively using an electronic medical record and analysed using SAS data system. Among 167 discharged patients, 154 patients were seen by a physician only (PO) and 13 patients were seen in the IDC. Thirty-day readmission rates were 26.6% and 7.7% for patients in the PO and IDC groups, respectively (p = 0.19). Seventy patients (45.5%) in the PO group and 11 patients (84.6%) in the IDC group (p = 0.0082) were found to have at least one medication error. All patients seen at the IDC had an intervention made, while 68 (44.2%) seen by a PO received no intervention (p = 0.0009). While sample size was a major limitation, a statistically significant increase in identified medication errors and intervention documentation was found in the IDC group. It is critical that healthcare systems continue to develop new strategies, such as IDCs, to reduce hospital readmissions.

Early Colonoscopy Improves the Outcome of Patients With Symptomatic Colorectal Cancer

BACKGROUND

Long waiting times from early symptoms to diagnosis and treatment may influence the staging and prognosis of patients with colorectal cancer. We analyzed the effect of colonoscopy timing on the outcome of these patients.

OBJECTIVE

This study aimed to compare the outcome (tumoral staging and long-term survival) of patients with suspected colorectal cancer according to diagnostic colonoscopy timing.

DESIGN

This study is an analysis of a prospectively maintained database.

SETTINGS

The study was conducted at the Open Access Endoscopy Service of the tertiary public healthcare center Hospital Universitario de Canarias, in the Spanish island of Tenerife.

PATIENTS

Consecutive patients diagnosed of colorectal cancer between February 2008 and October 2010, fulfilling 1 or more National Institute for Health and Clinical Excellence criteria, were assigned to early colonoscopy (<30 days from referral) or to standard-schedule colonoscopy at the discretion of the referring physician. Tumor staging (TNM classification) at diagnosis and long-term survival after treatment were compared in both strategies.

MAIN OUTCOME MEASURES

The primary outcomes measured were the stage at presentation and overall survival, as determined by prompt or standard referral.

RESULTS

Overall, 257 patients with colorectal cancer were diagnosed (101 at early colonoscopy and 156 at standard-schedule colonoscopy). TNM stages I and II were found in 52 (54.2%) and 60 (41.7%) patients in the early colonoscopy group and standard-schedule colonoscopy group. Stage IV was confirmed in 13 patients (13.5%) diagnosed in the early colonoscopy group and in 40 (28%) detected in the standard-schedule colonoscopy group. Survival rates at 12 and 60 months after treatment were significantly higher in the early colonoscopy group compared with the standard-schedule colonoscopy group (p < 0.001).

LIMITATIONS

Controlled randomization of early versus standard-referral colonoscopy, size and scope of analysis, the time interval from symptom onset to first physician assessment, and the different locations of colorectal cancer between groups were limitations of the study.

CONCLUSIONS

Colonoscopy within 30 days from referral improves outcome in patients with symptomatic colorectal cancer. See Video Abstract at http://journals.lww.com/dcrjournal/Pages/videogallery.aspx.

Mental disorders and the use of primary health care services among homeless shelter users in the Helsinki metropolitan area, Finland

Background

Homelessness is associated with increased morbidity, mortality and health care use. The aim of this study was to examine the role of mental disorders in relation to the use of 1) daytime primary health care services and 2) after hours primary health care emergency room (PHER) services among homeless shelter users in the Helsinki Metropolitan Area, Finland.

Methods

The study cohort consists of all 158 homeless persons using the four shelters operating in the study area during two selected nights. The health records were analyzed over a period of 3 years prior to the sample nights and data on morbidity and primary health care visits were gathered. We used negative binomial regression to estimate the association between mental disorders and daytime visits to primary health care and after hours visits to PHERs.

Results

During the 3 years the 158 homeless persons in the cohort made 1410 visits to a physician in primary health care. The cohort exhibited high rates of mental disorders, including substance use disorders (SUDs); i.e. 141 persons (89%) had a mental disorder. We found dual diagnosis, defined as SUD concurring with other mental disorder, to be strongly associated with daytime primary health care utilization (IRR 11.0, 95% CI 5.9–20.6) when compared with those without any mental disorder diagnosis. The association was somewhat weaker for those with only SUDs (IRR 4.9, 95% CI 2.5–9.9) or with only other mental disorders (IRR 5.0, 95% CI 2.4–10.8). When focusing upon the after hours visits to PHERs we observed that both dual diagnosis (IRR 14.1, 95% CI 6.3–31.2) and SUDs (11.5, 95% CI 5.7–23.3) were strongly associated with utilization of PHERs compared to those without any mental disorder. In spite of a high numbers of visits, we found undertreatment of chronic conditions such as hypertension and diabetes.

Conclusions

Dual diagnosis is particularly strongly associated with primary health care daytime visits among homeless persons staying in shelters, while after hours visits to primary health care level emergency rooms are strongly associated with both dual diagnosis and SUDs. Active treatment for SUDs could reduce the amount of emergency visits made by homeless shelter users.

Performance-based functional impairment and readmission and death: a prospective study

OBJECTIVES

Readmission and death are frequent after a hospitalisation and difficult to predict. While many predictors have been identified, few studies have focused on functional status. We assessed whether performance-based functional impairment at discharge is associated with readmission and death after an acute medical hospitalisation.

DESIGN, SETTING AND PARTICIPANTS

We prospectively included patients aged ≥50 years admitted to the Department of General Internal Medicine of a large community hospital. Functional status was assessed shortly before discharge using the Timed Up and Go test performed twice in a standard way by trained physiotherapists and was defined as a test duration ≥15 s. Sensitivity analyses using a cut-off at >10 and >20 s were performed.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary and secondary outcome measures were unplanned readmission and death, respectively, within 6 months after discharge.

RESULTS

Within 6 months after discharge, 107/338 (31.7%) patients had an unplanned readmission and 31/338 (9.2%) died. Functional impairment was associated with higher risk of death (OR 2.44, 95% CI 1.15 to 5.18), but not with unplanned readmission (OR 1.34, 95% CI 0.84 to 2.15). No significant association was found between functional impairment and the total number of unplanned readmissions (adjusted OR 1.59, 95% CI 0.95 to 2.67).

CONCLUSIONS

Functional impairment at discharge of an acute medical hospitalisation was associated with higher risk of death, but not of unplanned readmission within 6 months after discharge. Simple performance-based assessment may represent a better prognostic measure for mortality than for readmission.

ANMCO/SIC/SICI-GISE/SICCH Executive Summary of Consensus Document on Risk Stratification in elderly patients with aortic stenosis before surgery or transcatheter aortic valve replacement

Aortic stenosis is one of the most frequent valvular diseases in developed countries, and its impact on public health resources and assistance is increasing. A substantial proportion of elderly people with severe aortic stenosis is not eligible to surgery because of the advanced age, frailty, and multiple co-morbidities. Transcatheter aortic valve implantation (TAVI) enables the treatment of very elderly patients at high or prohibitive surgical risk considered ineligible for surgery and with an acceptable life expectancy. However, a significant percentage of patients die or show no improvement in quality of life (QOL) in the follow-up. In the decision-making process, it is important to determine: (i) whether and how much frailty of the patient influences the risk of procedures; (ii) how the QOL and the individual patient's survival are influenced by aortic valve disease or from other associated conditions; and (iii) whether a geriatric specialist intervention to evaluate and correct frailty or other diseases with their potential or already manifest disabilities can improve the outcome of surgery or TAVI. Consequently, in addition to risk stratification with conventional tools, a number of factors including multi-morbidity, disability, frailty, and cognitive function should be considered, in order to assess the expected benefit of both surgery and TAVI. The pre-operative optimization through a multidisciplinary approach with a Heart Team can counteract the multiple damage (cardiac, neurological, muscular, respiratory, and kidney) that can potentially aggravate the reduced physiological reserves characteristic of frailty. The systematic application in clinical practice of multidimensional assessment instruments of frailty and cognitive function in the screening and the adoption of specific care pathways should facilitate this task.

Cost-effectiveness of a transitional pharmaceutical care program for patients discharged from the hospital

Background

To improve continuity of care at hospital admission and discharge and to decrease medication errors pharmaceutical care programs are developed. This study aims to determine the cost-effectiveness of the COACH program in comparison with usual care from a societal perspective.

Methods

A controlled clinical trial was performed at the Internal Medicine department of a general teaching hospital. All admitted patients using at least one prescription drug were included. The COACH 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 three months after discharge. Also, the number of quality-adjusted life-years (QALYs) was assessed. Cost data were collected using cost diaries. Uncertainty surrounding cost differences and incremental cost-effectiveness ratios between the groups was estimated by bootstrapping.

Results

In the COACH program, 168 patients were included and in usual care 151 patients. There was no significant difference in the proportion of patients with unplanned rehospitalisations (mean difference 0.17%, 95% CI -8.85;8.51), and in QALYs (mean difference -0.0085, 95% CI -0.0170;0.0001). Total costs for the COACH program were non-significantly lower than usual care (-€1160, 95% CI -3168;847). Cost-effectiveness planes showed that the program was not cost-effective compared with usual care for unplanned rehospitalisations and QALYs gained.

Conclusion

The COACH program was not cost-effective in comparison with usual care. Future studies should focus on high risk patients and include other outcomes (e.g. adverse drug events) as this may increase the chances of a cost-effective intervention.

Dutch trial register NTR1519

Tackling comorbidity associated with rheumatic diseases in standard practice

In spite of the dramatic improvement of the long-term prognosis of inflammatory arthritic conditions, patients living with arthritis remain more likely to have a shorter lifespan in contrast to the age-matched population without arthritis. This high incidence of morbidity-mortality has been attributed to an increased prevalence of comorbidities, particularly cardiovascular disease, infections, and the development of malignant space-occupying lesions. In spite of the published guidelines highlighting the importance of comorbidity assessment and management, implementing these recommendations in standard clinical practice remains a challenge for the treating rheumatologists and rheumatology nurse specialists. This article will review the challenge of comorbidity in inflammatory arthritic conditions and its dynamic nature, the impact on patient management, as well as recent trends in the screening and assessment of comorbidity risk in standard clinical practice.

Associations between multimorbidity and additional burden for working-age adults with specific forms of musculoskeletal conditions: a cross-sectional study

BACKGROUND

Multiple health conditions are increasingly a problem for adults with musculoskeletal conditions. However, multimorbidity research has focused primarily on the elderly and those with a limited subset of musculoskeletal disorders. We sought to determine whether associations between multimorbidity and additional burden differ with specific forms of musculoskeletal conditions among working-age adults.

METHODS

Data were sourced from a nationally representative Australian survey. Specific musculoskeletal conditions examined were osteoarthritis; inflammatory arthritis; other forms of arthritis or arthropathies; musculoskeletal conditions not elsewhere specified; gout; back pain; soft tissue disorders; or osteoporosis. Multimorbidity was defined as the additional presence of one or more of the Australian National Health Priority Area conditions. Burden was assessed by self-reported measures of: (i) self-rated health (ii) musculoskeletal-related healthcare and medicines utilisation and, (iii) general healthcare utilisation. Associations between multimorbidity and additional health or healthcare utilisation burden among working-age adults (aged 18 - 64 years of age) with specific musculoskeletal conditions were estimated using logistic regression, adjusting for confounders. Interaction terms were fitted to identify whether there were specific musculoskeletal conditions where multimorbidity was more strongly associated with poorer health or greater healthcare utilisation than in the remaining musculoskeletal group.

RESULTS

Among working-age adults, for each of the specified musculoskeletal conditions, multimorbidity was associated with similar, increased likelihood of additional self-rated health burden and certain types of healthcare utilisation. While there were differences in the relationships between multimorbidity and burden for each of the specific musculoskeletal conditions, no one specific musculoskeletal condition appeared to be consistently associated with greater additional health burden in the presence of multimorbidity across the majority of self-rated health burden and healthcare use measures.

CONCLUSIONS

For working-age people with any musculoskeletal conditions examined here, multimorbidity increases self-reported health and healthcare utilisation burden. As no one musculoskeletal condition appears consistently worse off in the presence of multimorbidity, there is a need to better understand and identify strategies that acknowledge and address the additional burden of concomitant conditions for working-age adults with a range of musculoskeletal conditions.

Cross-sectional examination of musculoskeletal conditions and multimorbidity: influence of different thresholds and definitions on prevalence and association estimates

BACKGROUND

Multimorbidity and musculoskeletal conditions create substantial burden for people and health systems. Quantifying the extent of co-occurring conditions is hampered by conceptual heterogeneity, imprecision and/or indecision about how multimorbidity is defined. The purpose of this study is to examine the influence of different ways of operationalising multimorbidity on multimorbidity prevalence rates with a focus on working-age adults with musculoskeletal conditions. Weighted population prevalence rates of multimorbidity among working-age Australians were estimated using data from the National Health Survey. Two nominal thresholds (2+ or 3+ co-occurring conditions) and three operational definitions of multimorbidity (survey-, policy- and research-based) were examined. Using logistic regression, we estimated the association between the prevalence of multimorbidity among persons with musculoskeletal conditions compared to persons with non-musculoskeletal conditions for each definition and threshold combination.

RESULTS

As few as 7.9% of working-age Australians have 2+ conditions using the research-based definition (95% CI 7.4-8.5%), compared to estimates of 15.3% (95% CI 14.3-16.2%) and 61.5% (95% CI 60.3-62.7%). with the policy- and survey-based definitions, respectively. Depending on definition, with the 3+ threshold multimorbidity prevalence ranged from 2.1% (research) to 41.9% (survey). Among the sub-sample with musculoskeletal conditions, multimorbidity with the 2+ threshold ranged from 20.2 to 92.2%; and with 3+ threshold from 5.9 to 75.4%, again lowest with the research-definition and highest with the survey-definition. When compared to any other condition (i.e. non-musculoskeletal conditions), all musculoskeletal conditions were positively associated with multimorbidity, regardless of definition or threshold.

CONCLUSIONS

Depending on definition and threshold, multimorbidity is either rare or endemic in working-age Australians. Irrespective of definition, musculoskeletal conditions are a near-ubiquitous feature of multimorbidity.

Higher Charlson Comorbidity Index Scores Are Associated With Increased Hospital Length of Stay After Lower Extremity Orthopaedic Trauma

OBJECTIVES

The purpose of this study was to explore the relationship between preoperative Charlson Comorbidity Index (CCI) and postoperative length of stay (LOS) for lower extremity and hip/pelvis orthopaedic trauma patients.

DESIGN

Retrospective.

SETTING

Urban level 1 trauma center.

PATIENTS/PARTICIPANTS

A total of 1561 patients treated for isolated lower extremity and pelvis fractures between 2000 and 2012.

INTERVENTIONS

Surgical intervention for fractures MAIN OUTCOME MEASUREMENTS:: The main outcome metric was LOS. Negative binomial regression analysis was used to examine the association between CCI and LOS while controlling for significant confounders.

RESULTS

One thousand five hundred sixty-one patients met the inclusion criteria, 1302 (83.4%) of which had lower extremity injuries and 259 (16.6%) experienced hip/pelvis trauma. A total of 1001 (64.1%) patients presented with a CCI score of 1 and stayed an average of 7.9 days. Patients with a CCI of 3 experienced a mean LOS of 1.2 days longer than patients presenting with a CCI of 1, whereas patients presenting with a CCI score of 5 stayed an average of 4.6 days longer. After controlling for age, race, American Society of Anesthesiologists score, sex, anesthesia type, and anesthesia time, a higher preoperative CCI was found to be associated with longer LOS for patients with lower extremity fractures (Incidence Rate Ratio: 1.04, P = 0.01). No significant association was found between CCI and LOS for patients with hip/pelvic fractures.

CONCLUSIONS

This study demonstrated the potential utility of the CCI as a predictor of hospital LOS for lower extremity patients; however, the association may be small given the smaller Incidence Rate Ratio value. Further studies are needed to clarify the predictive value of the CCI for different types of orthopaedic injuries.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete.

Patterns and Consequences of Multimorbidity in the General Population: There is No Chronic Disease Management Without Rheumatic Disease Management

OBJECTIVE

To identify empirical model-based patterns of multimorbidity from chronic noncommunicable diseases in the general population, with a focus on the contribution of rheumatic and musculoskeletal diseases (RMDs), and to quantify their association with adverse health outcomes.

METHODS

Cross-sectional data from the Portuguese Fourth National Health Survey were analyzed (n = 23,754). Latent class analysis was used to identify patterns of coexistence of 11 chronic noncommunicable diseases (RMDs, diabetes mellitus, hypertension, chronic obstructive pulmonary disease, stroke, depression, myocardial infarction, cancer, osteoporosis, asthma, and renal failure). Based on the Outcome Measures in Rheumatology, filter 2.0, health outcomes included life impact, pathophysiologic manifestations, and resource use. We assessed the association between patterns and adverse health outcomes, through sex-, age-, and body mass index-adjusted prevalence ratios with 95% confidence intervals, obtained using Poisson regression.

RESULTS

Four patterns of chronic noncommunicable diseases co-occurrence were identified and labeled as low disease probability, cardiometabolic conditions, respiratory conditions, and RMDs and depression. RMDs were highly prevalent in patients with chronic diseases (from 38.6% in cardiometabolic conditions to 66.7% in RMDs and depression). While negative self-rated health, short-term disability, and chronic pain were more strongly associated with cardiometabolic conditions and respiratory conditions, all multimorbidity patterns were similarly associated with long-term disability, frequent health care utilization, and out-of-pocket health care expenses.

CONCLUSION

Our study emphasizes RMDs as a major presence in multimorbidity in the general population. All multimorbidity patterns were associated with a wide set of adverse health outcomes. Management strategies for the patient with chronic cardiometabolic, respiratory, or depressive conditions should also target RMDs.

Use of explicit ICD9-CM codes to identify adult severe sepsis: impacts on epidemiological estimates

BACKGROUND

Severe sepsis is a challenge for healthcare systems, and epidemiological studies are essential to assess its burden and trends. However, there is no consensus on which coding strategy should be used to reliably identify severe sepsis. This study assesses the use of explicit codes to define severe sepsis and the impacts of this on the incidence and in-hospital mortality rates.

METHODS

We examined episodes of severe sepsis in adults aged ≥18 years registered in the 2006-2011 national hospital discharge database, identified in an exclusive manner by two ICD-9-CM coding strategies: (1) those assigned explicit ICD-9-CM codes (995.92, 785.52); and (2) those assigned combined ICD-9-CM infection and organ dysfunction codes according to modified Martin criteria. The coding strategies were compared in terms of the populations they defined and their relative implementation. Trends were assessed using Joinpoint regression models and expressed as annual percentage change (APC).

RESULTS

Of 222 846 episodes of severe sepsis identified, 138 517 (62.2 %) were assigned explicit codes and 84 329 (37.8 %) combination codes; incidence rates were 60.6 and 36.9 cases per 100 000 inhabitants, respectively. Despite similar demographic characteristics, cases identified by explicit codes involved fewer comorbidities, fewer registered pathogens, greater extent of organ dysfunction (two or more organs affected in 60 % versus 26 % of cases) and higher in-hospital mortality (54.5 % versus 29 %; risk ratio 1.86, 95 % CI 1.83, 1.88). Between 2006 and 2011, explicit codes were increasingly implemented. Standardised incidence rates in this cohort increased over time with an APC of 12.3 % (95 % CI 4.4, 20.8); in the combination code cohort, rates increased by 3.8 % (95 % CI 1.3, 6.3). A decreasing trend in mortality was observed in both cohorts though the APC was -8.1 % (95 % CI -10.4, -5.7) in the combination code cohort and -3.5 % (95 % CI -3.9, -3.2) in the explicit code cohort.

CONCLUSIONS

Our findings suggest greater and increasing use of explicit codes for adult severe sepsis in Spain. This trend will have substantial impacts on epidemiological estimates, because these codes capture cases featuring greater organ dysfunction and in-hospital mortality.

Attitudes: Mediators of the Relation between Health and Driving in Older Adults

Nous avons examiné les relations entre la santé perçue (p. ex., l’état de santé auto-évaluation) et des pratiques d’autorégulation de la conduite (p. ex., la fréquence de la conduite, l’evitement des situations de conduite difficiles) comme médiée par les attitudes et les perceptions de conduite (à savoir, le confort de conduite, les attitudes positif et négatif envers la conduite) dans les données recueillies pour 928 conducteurs âgés de 70 ans et plus inscrits à l’étude Candrive II. Nous avons observé que les attitudes spécifiques à la conduite (p. ex., le confort de conduite, les attitudes négatives envers la conduite) assurent la médiation des relations entre les symptômes de santé et les comportements de conduite auto-reglementés au début et au fil du temps. Seuls les attitudes négatives à l’égard de conduite ont mediés entièrement les relations entre les changements dans les symptômes perçus de la santé et les changements dans le comportement de conduite. Les symptômes perçus pour la santé influencent apparemment la probabilité d’éviter des situations difficiles de conduite par le biais de deux attitudes négatives initiales pour la conduite, ainsi que des changements dans les attitudes négatives au fil du temps. Comprendre les influences sur le comportement de conduite d’auto-réglementation seront bénéfiques lors de la conception des interventions visant à améliorer la sécurité des conducteurs âgés.

Meeting the challenge of COPD care delivery in the USA: a multiprovider perspective

The burden of chronic obstructive pulmonary disease (COPD) in the USA continues to grow. Although progress has been made in the the development of diagnostics, therapeutics, and care guidelines, whether patients' quality of life is improved will ultimately depend on the actual implementation of care and an individual patient's access to that care. In this Commission, we summarise expert opinion from key stakeholders-patients, caregivers, and medical professionals, as well as representatives from health systems, insurance companies, and industry-to understand barriers to care delivery and propose potential solutions. Health care in the USA is delivered through a patchwork of provider networks, with a wide variation in access to care depending on a patient's insurance, geographical location, and socioeconomic status. Furthermore, Medicare's complicated coverage and reimbursement structure pose unique challenges for patients with chronic respiratory disease who might need access to several types of services. Throughout this Commission, recurring themes include poor guideline implementation among health-care providers and poor patient access to key treatments such as affordable maintenance drugs and pulmonary rehabilitation. Although much attention has recently been focused on the reduction of hospital readmissions for COPD exacerbations, health systems in the USA struggle to meet these goals, and methods to reduce readmissions have not been proven. There are no easy solutions, but engaging patients and innovative thinkers in the development of solutions is crucial. Financial incentives might be important in raising engagement of providers and health systems. Lowering co-pays for maintenance drugs could result in improved adherence and, ultimately, decreased overall health-care spending. Given the substantial geographical diversity, health systems will need to find their own solutions to improve care coordination and integration, until better data for interventions that are universally effective become available.

Outcomes and Costs of Poisoned Patients Admitted to an Adult Emergency Department of a Spanish Tertiary Hospital: Evaluation through a Toxicovigilance Program

Abstract

Toxicovigilance is the active process of identifying and evaluating the toxic risks existing in a community, and evaluating the measures taken to reduce or eliminate them.

Objective

Through a validated toxicovigilance program (SAT-HULP) we examined the characteristics of acute poisoning cases (APC) attended in the Emergency Department (ED) of La Paz Hospital (Madrid, Spain) and assessed their economic impact on the health system.

Material and Methods

The active poisoning surveillance system performs a daily search for cases in the hospital´s computerized case records. Found cases are entered into a database for recording of type of poisoning episode, reasons for exposure, causative agent, signs and symptoms and treatment. We carried out a cross-sectional epidemiological study with analytical projection, based on an impact study on cost per survivor. The data for the costs attributable to cases of APC observed at HULP (outpatients and inpatients) was obtained from the based on the information provided by the diagnosis-related groups (DRG) through the corresponding hospital discharge reports (available through SAT-HULP).

Results

During the first 30 month of SAT-HULP operation we found a total of 3,195 APC, a cumulative incidence rate of 1.75% of patients attended in the ED. The mean (SD) patient age was 40.9 (17.8) years and 51.2% were men. Drug abuse accounted for 47.5% of the cases. Suicide attempt was the second most frequent category (38.1%) and other causes accounted for 14.5% of APC. The total cost of hospital care for our hospital rose to €1,825,263.24 (approximately €730,105.30/year) resulting in a permanent occupation of 4 beds/year.

Conclusions

SAT-HULP constitutes a validated toxicovigilance tool, which continuously integrates available data in real-time and helps health services manage APC data flexibly, including the consumption of resources from the health system.

Changing definitions altered multimorbidity prevalence, but not burden associations, in a musculoskeletal population

OBJECTIVES

The inclusion of musculoskeletal conditions within multimorbidity research is inconsistent, and working-age populations are largely ignored. We aimed to: (1) estimate multimorbidity prevalence among working-age individuals with a range of musculoskeletal conditions; and (2) better understand the implications of decisions about the number and range of conditions constituting multimorbidity on the strength of associations between multimorbidity and burden (e.g., health status and health care utilization).

STUDY DESIGN AND SETTING

Using data from the Australian National Health Survey 2007-08, the associations between burden measures and three ways of operationalizing multimorbidity (survey, policy, and research based) within the working-age (18-64 years) musculoskeletal population were estimated using multiple logistic regression (age and gender adjusted).

RESULTS

Depending on definition, from 20.2% to 75.4% of working-age individuals with musculoskeletal conditions have multimorbidity. Irrespective of definition, multimorbidity was associated with increased likelihood of subjective health burden, pain or musculoskeletal medicines use, nonmusculoskeletal specialist and pharmacist (advice only) consultations, and reduced likelihood of not consulting health professionals. A group with intermediate health outcomes was considered multimorbid by some, but not all definitions. With the restrictive policy and research multimorbidity definitions, this intermediate group is included within the reference population (i.e., are considered nonmultimorbid). This worsens the reference group's apparent health status thereby leveling the comparative burden between those with and without multimorbidity. Consequently, dichotomous cut points lead to similar associations with burden measures despite the increasingly restrictive multimorbidity definitions used.

CONCLUSIONS

All multimorbidity definitions were associated with burden among the working-age musculoskeletal population. However, dichotomous cut points obscure the gradient of increased burden associated with restrictive definitions.

Primary care providers' experiences caring for complex patients in primary care: a qualitative study

Background

Complex patients are increasingly common in primary care and often have poor clinical outcomes. Healthcare system barriers to effective care for complex patients have been previously described, but less is known about the potential impact and meaning of caring for complex patients on a daily basis for primary care providers (PCPs). Our objective was to describe PCPs’ experiences providing care for complex patients, including their experiences of health system barriers and facilitators and their strategies to enhance provision of effective care.

Methods

Using a general inductive approach, our qualitative research study was guided by an interpretive epistemology, or way of knowing. Our method for understanding included semi-structured in-depth interviews with internal medicine PCPs from two university-based and three community health clinics. We developed an interview guide, which included questions on PCPs’ experiences, perceived system barriers and facilitators, and strategies to improve their ability to effectively treat complex patients. To focus interviews on real cases, providers were asked to bring de-identified clinical notes from patients they considered complex to the interview. Interview transcripts were coded and analyzed to develop categories from the raw data, which were then conceptualized into broad themes after team-based discussion.

Results

PCPs (N = 15) described complex patients with multidimensional needs, such as socio-economic, medical, and mental health. A vision of optimal care emerged from the data, which included coordinating care, preventing hospitalizations, and developing patient trust. PCPs relied on professional values and individual care strategies to overcome local and system barriers. Team based approaches were endorsed to improve the management of complex patients.

Conclusions

Given the barriers to effective care described by PCPs, individual PCP efforts alone are unlikely to meet the needs of complex patients. To fulfill PCP’s expressed concepts of optimal care, implementation of effective systemic approaches should be considered.

Electronic supplementary material

The online version of this article (doi:10.1186/s12875-016-0433-z) contains supplementary material, which is available to authorized users.

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 18 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 12 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) -2.23, 95% confidence interval (CI) -2.52 to -1.95). There was probably a small improvement in patient-reported outcomes (moderate certainty evidence) although two studies that specifically targeted functional difficulties in participants had positive effects on functional outcomes with one of these studies also reporting a reduction in mortality at four year follow-up (Int 6%, Con 13%, absolute difference 7%). 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, or specific functional difficulties in people with multimorbidity.

Do NSAIDs and ASA Cause More Upper Gastrointestinal Bleeding in Elderly than Adults?

Purpose. NSAIDs and ASA may cause upper gastrointestinal bleeding (UGIB) both in adults and in elderly. There is no study that compares this increased bleeding risk between adult and elderly subjects. Methods. A total of 524 patients with UGIB were included in this study. The data of patients were, respectively, analyzed. Results. NSAIDs and ASA-associated UGIB rates were similar between <65 years (345 patients) (group 1) and ≥65 years (179 patients) (group 2) (28.4% versus 23.5%, p = 0.225 and 13% versus 19%, p = 0.071, resp.). Warfarin-associated UGIB was found significantly higher in group 2 than group 1. Elderly patients with NSAID-associated UGIB had significantly higher length of stay (LoS) and CoH than adult patients with NSAID-associated UGIB (p = 0.002 and 0.001, resp.). Elderly patients with ASA-associated UGIB had significantly higher CoH than adult patients with NSAID-associated UGIB. Conclusions. Using NSAIDs without gastroprotective drugs or using ASA with gastroprotective drugs in elderly patients is as safe as in adult patients. Not only should adding gastroprotective drugs to ASA or NSAID be based on their risk of UGIB, but the cost of hospitalization of ASA or NSAID-associated UGIB should be considered.

Characteristics, incidence and temporal trends of sepsis in elderly patients undergoing surgery

BACKGROUND

Despite increasing rates of surgery in the elderly, there is limited population-based information on sepsis in this age group. This study aimed to characterize the epidemiology and national trends of sepsis among elderly patients undergoing surgery in Spain.

METHODS

This population-based longitudinal study of patients aged 65 years or older, undergoing surgery between 2006 and 2011, used data from the national hospital discharge database. Patients were identified by ICD coding. Primary endpoints were incidence and case-fatality rates of sepsis. Predefined age groups were examined. In-hospital mortality-related factors were assessed by means of exploratory logistic regression. Trends were assessed for annual percentage change in rates using Joinpoint regression analysis.

RESULTS

A total of 44 342 episodes of sepsis were identified, representing 1·5 per cent of all 2 871 199 surgical hospital admissions of patients aged 65 years or older. The rates varied with age and sex. The in-hospital case-fatality rate was 43·9 per cent (19 482 patients), and associated with age, co-morbidity and organ dysfunction. Standardized rates of sepsis increased over time, with an annual change of 4·7 (95 per cent c.i. 1·4 to 8·5) per cent, whereas the case-fatality rate declined, with an overall annual change of -3·6 (-4·3 to -2·8) per cent. The decrease in mortality was more limited in patients with organ dysfunction and in the oldest age group.

CONCLUSION

Rates of sepsis are increasing among elderly patients undergoing surgery, whereas in-hospital case fatality, although common, is showing a decreasing trend.

Early rehospitalization after hip fracture in elderly patients: risk factors and prognosis

INTRODUCTION

Hip fracture usually occurs in older patients. These patients remain at risk for developing new medical complications even after discharge from the hospital. The objective of this study was to identify risk factors for hospital readmission 30 days after hip fracture and the prognosis of the readmitted patients.

MATERIALS METHODS

A prospective, observational cohort study of 732 consecutive patients over 65 years surgically treated for hip fracture and discharged alive in 2010-2014 was conducted. The measurements were patient demographic characteristics, residential and discharge status, Katz Index, Merle D'aubigné Hip Score, Mini-Mental Test, comorbid conditions, Charlson Index, ASA group, type of fracture and repair, and postoperative complications. Patient characteristics were tested by bivariate and multivariate analyses.

RESULTS

8.3 % of patients were readmitted within 30 days (56.0 % of these within 2 weeks). Medical reasons were 13 times more frequent than surgical reasons. Diagnoses more prevalent for readmission were pulmonary disease, deep vein thrombosis, heart failure, and renal failure. Predictors of readmission were female gender (HR 1.9, 95 % CI 1.1-3.4), grade III-IV ASA (HR 2.1, 95 % CI 1.1-4.2), and pre-existing pulmonary disease (HR 5.3, 95 % CI 3.4-9.6). In-hospital mortality among readmitted patients was 22.9 %. In bivariate analyses, male gender, ASA III-IV, cognitive impairment, and more than two comorbidities were potential predictive factors for readmission, and in multivariate analysis only male gender and ASA III-IV. Mortality risk among readmitted patients was significantly higher compared to the in-hospital mortality in the overall cohort (OR 1.8, 95 % CI 1.5-2.3).

CONCLUSIONS

Hospital readmissions after hip fracture were mainly due to medical complications and a fraction of these may be preventable. Readmission was associated with increased morbidity and mortality.

Self-rated health and hospital services use in the Spanish National Health System: a longitudinal study

Background

Self-rated health is a subjective measure that has been related to indicators such as mortality, morbidity, functional capacity, and the use of health services. In Spain, there are few longitudinal studies associating self-rated health with hospital services use. The purpose of this study is to analyze the association between self-rated health and socioeconomic, demographic, and health variables, and the use of hospital services among the general population in the Region of Valencia, Spain.

Methods

Longitudinal study of 5,275 adults who were included in the 2005 Region of Valencia Health Survey and linked to the Minimum Hospital Data Set between 2006 and 2009. Logistic regression models were used to calculate the odds ratios between use of hospital services and self-rated health, sex, age, educational level, employment status, income, country of birth, chronic conditions, disability and previous use of hospital services.

Results

By the end of a 4-year follow-up period, 1,184 participants (22.4 %) had used hospital services. Use of hospital services was associated with poor self-rated health among both men and women. In men, it was also associated with unemployment, low income, and the presence of a chronic disease. In women, it was associated with low educational level, the presence of a disability, previous hospital services use, and the presence of chronic disease. Interactions were detected between self-rated health and chronic disease in men and between self-rated health and educational level in women.

Conclusions

Self-rated health acts as a predictor of hospital services use. Various health and socioeconomic variables provide additional predictive capacity. Interactions were detected between self-rated health and other variables that may reflect different complex predictive models, by gender.

Clustering of elderly patient subgroups to identify medication-related readmission risks

INTRODUCTION

High Risk Medication Regimen (HRMR) scores are weakly predictive of hospital readmissions for elderly home health care patients. HRMR is composed of three elements related to drug risks: polypharmacy (number of medications); Potentially Inappropriate Medications (PIM) known to be harmful to the elderly; and the Medication Regimen Complexity Index (MRCI) that weighs drugs by the complexity of their dosing and instructions. In this paper, we hypothesized that HRMR scores are more predictive for demographic subgroups of elderly patients. The study used Outcome and Assessment Information Set (OASIS) variables to identify subgroups of patients for whom the HRMR measures appeared more predictive for hospital readmissions.

METHODS

OASIS and medication data were reused from a study of 911 patients (355 males, 556 females; mean age 78.9) from 15 Medicare-certified home health care agencies that established the relationship between HRMR and hospital readmissions. Hierarchical agglomerative clustering using the Jaccard distance measure and average-link method identified patient subgroups based on the OASIS data. Receiver operating curve (ROC) analyses evaluated the predictive strength of the HRMR variables for each subgroup. Additional False Discovery Rate (FDR) analyses assessed whether the clustered relationships were chance.

RESULTS

Clustering of OASIS data for 911 patients identified six subgroups: patients with Good Functional Status (n=382); Females with Moderate to Severe Pain (n=354); patients with poor prognosis needing functional status assistance (n=419); patients with Poor Functional Status (n=287); Males with Adult Children as Caregiver (n=198); adults living alone with spouses as primary caregiver (n=127). ROC results relating these subgroups to HRMR risks were strongest for Males with Adult Children as Caregivers (AUC: polypharmacy, 0.73; PIM, 0.64; MRCI, 0.77). The findings for this subgroup also met the FDR analysis threshold (<=0.20).

CONCLUSIONS

A risk of medication-related readmissions in elderly men with adult children as caregivers is consistent with research showing problems in medication adherence when seniors are supported by informal caregivers. The results from clustering analysis present a hypothesis for research on HRMR and on the relationship between adult caregivers and their fathers.

Factors Affecting the Postsurgical Length of Hospital Stay in Patients with Breast Cancer

OBJECTIVE

Breast cancer is the most common malignancy and the most common cause of mortality in women worldwide. In addition to the increasing incidence of breast cancer, the length of hospital stay (LOS) after breast cancer surgery has been decreasing. Because LOS is key in determining hospital usage, the decrease in the use of hospital facilities may have implications on healthcare planning. The purpose of this study was to evaluate the factors affecting postoperative LOS in patients with breast cancer.

MATERIALS AND METHODS

Seventy-six in patients with breast cancer, who had been treated between July 2013 and December 2014 in the General Surgery Clinic of Dicle University, were included in the study. The demographic characteristics of the patients, treatment methods, histopathological features of the tumor, concomitant diseases, whether they underwent neoadjuvant chemotherapy or not, and the length of drain remaining time were retrospectively recorded.

RESULTS

There was a correlation between drain remaining time, totally removed lymph node, the number of metastatic lymph node, and LOS. LOS of patients treated with neoadjuvant chemotherapy was longer. The patients who underwent breast-conserving surgery had a shorter LOS. Linear regression analysis revealed that the drain remaining time and the number of metastatic lymph nodes were independent risk factors for LOS.

CONCLUSION

Consideration should be given to cancer screening to diagnose the patients before lymph node metastasis occurs. In addition, drains should be avoided unless required and, if used, they should be removed as early as possible for shortening LOS.

Multimorbidity, health care utilization and costs in an elderly community-dwelling population: a claims data based observational study

Background

Chronic conditions and multimorbidity have become one of the main challenges in health care worldwide. However, data on the burden of multimorbidity are still scarce. The purpose of this study is to examine the association between multimorbidity and the health care utilization and costs in the Swiss community-dwelling population, taking into account several sociodemographic factors.

Methods

The study population consists of 229'493 individuals aged 65 or older who were insured in 2013 by the Helsana Group, the leading health insurer in Switzerland, covering all 26 Swiss cantons. Multimorbidity was defined as the presence of two or more chronic conditions of a list of 22 conditions that were identified using an updated measure of the Pharmacy-based Cost Group model. The number of consultations (total and divided by primary care physicians and specialists), the number of different physicians contacted, the type of physician contact (face-to-face, phone, and home visits), the number of hospitalisations and the length of stay were assessed separately for the multimorbid and non-multimorbid sample. The costs (total and divided by inpatient and outpatient costs) covered by the compulsory health insurance were calculated for both samples. Multiple linear regression modelling was conducted to adjust for influencing factors: age, sex, linguistic region, purchasing power, insurance plan, and nursing dependency.

Results

Prevalence of multimorbidity was 76.6%. The mean number of consultations per year was 15.7 in the multimorbid compared to 4.4 in the non-multimorbid sample. Total costs were 5.5 times higher in multimorbid patients. Each additional chronic condition was associated with an increase of 3.2 consultations and increased costs of 33%. Strong positive associations with utilization and costs were also found for nursing dependency. Multimorbid patients were 5.6 times more likely to be hospitalised. Furthermore, results revealed a significant age-gender interaction and a socioeconomic gradient.

Conclusions

Multimorbidity is associated with substantial higher health care utilization and costs in Switzerland. Quantified data on the current burden of multimorbidity are fundamental for the management of patients in health service delivery systems and for health care policy debates about resource allocation. Strategies for a better coordination of multimorbid patients are urgently needed.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-015-0698-2) contains supplementary material, which is available to authorized users.

Rate, delay and predictors of hepatitis C treatment in British Columbia

BACKGROUND

The current treatment rate for chronic hepatitis C virus (HCV) infection is suboptimal despite the availability of efficacious antiviral therapy.

OBJECTIVE

To determine the rate, delay and predictors of treatment in patients with chronic HCV infection.

METHODS

A retrospective chart review of chronic HCV patients who were being evaluated at a tertiary hepatology centre in Vancouver, British Columbia, was performed.

RESULTS

One hundred sixty-four patients with chronic HCV infection who were assessed for treatment between February 2008 and January 2013 were reviewed. Treatment was initiated in 25.6% (42 of 164). In multivariate analyses, male sex (OR 7.90 [95% CI 1.35 to 46.15]) and elevated alanine aminotransferase (ALT) level (>1.5 times the upper limit of normal) (OR 3.10 [95% CI 1.32 to 7.27]) were positive predictors of treatment, whereas active smoking (OR 0.09 [95% CI 0.02 to 0.53]) and Charlson comorbidity index (per point increase) (OR 0.47 [95% CI 0.27 to 0.83]) were negative predictors of treatment. The most common reasons for treatment deferral were no or minimal liver fibrosis in 57.7% (n=30), persistently normal ALT levels in 57.7% (n=30) and patient unreadiness in 28.8% (n=15). The most common reasons for treatment noninitiation were patient refusal in 59.1% (n=26), medical comorbidities in 36.4% (n=16), psychiatric comorbidities in 9.1% (n=4) and decompensated cirrhosis in 9.1% (n=4). There was a statistically significant difference in the median time delay from HCV diagnosis to general practitioner referral between the treated and untreated patients (66.3 versus 119.5 months, respectively [P=0.033]). The median wait time from general practitioner referral to hepatologist consult was similar between the treated and untreated patients (1.7 months versus 1.5 months, respectively [P=0.768]). Among the treated patients, the median time delay was 6.8 months from hepatologist consult to treatment initiation.

CONCLUSIONS

The current treatment rate for chronic HCV infection remains suboptimal. Medical and psychiatric comorbidities represent a major obstacle to HCV treatment. Minimal hepatic fibrosis may no longer be a major reason for treatment deferral as more efficacious and tolerable antiviral therapies become available in the future. Greater educational initiatives for primary care physicians would promote early referral of patients. More nursing support would alleviate the backlog of patients awaiting treatment.

Epidemiology and recent trends of severe sepsis in Spain: a nationwide population-based analysis (2006-2011)

Background

Although severe sepsis constitutes an important burden for healthcare systems, there is limited nationwide data on its epidemiology in European countries. Our objective was to examine the most recent epidemiological characteristics and trends of severe sepsis in Spain, from a population perspective.

Methods

Analysis of the 2006-2011 National Hospital Discharge Registry. Cases were identified by combining specific ICD-9CM codes. We estimated demographics, clinical characteristics and outcomes and calculated age- and sex- adjusted estimations of incidence and mortality rates. Trends were assessed in terms of annual percent change (APC) in rates using joinpoint regression analysis.

Results

Over the 6-year period we identified 240939 cases of severe sepsis nationwide representing 1.1% of all hospitalisations and 54% of hospitalisations with sepsis. Incidence was 87 cases per 100,000 population. Overall 58% of cases were men, 66% were over the age of 65 and about 67% had associated comorbidities. Bacteremia was coded in 16% of records. Almost 54% of cases had one organ dysfunction, 26% two and around 20% three or more dysfunctions. In-hospital case-fatality was 43% and associated with age, gender, comorbidities and organ dysfunctions, among others. We found significant demographic and clinical changes over time with an increase in the mean age of cases, comorbidities, number of organ dysfunctions and in the number of cases with gram-negative pathogens. Furthermore, even with gender disparities, standardised incidence and mortality rates increased with an overall APC of 8.6% (95% CI 5.1, 12.1) and 6% (95% CI 1.9, 10.3), respectively. Conversely, we detect a significant decrease in case-fatality rates with an overall APC of -3.24% (95% CI: -4.2, -2.2).

Conclusions

This nationwide population-based study shows that hospitalizations with severe sepsis are frequent and associated with substantial in-hospital mortality in Spain. Furthermore it indicates that the incidence and mortality rates of severe sepsis have notably increased in recent years, showing also a significant increase in the age and severity of the affected population. Despite this, there has been a significant decreasing trend in case-fatality rates over time. This information has significant implications for health-care system planning and may prove useful to estimate future care requirements.

Electronic supplementary material

The online version of this article (doi:10.1186/s12879-014-0717-7) contains supplementary material, which is available to authorized users.

Comorbidity in heart failure. Results of the Spanish RICA Registry

BACKGROUND

We sought to identify the comorbidities associated with heart failure (HF) in a non-selected cohort of patients, and its influence on mortality and rehospitalization.

DESIGN AND METHODS

Data were obtained from the 'Registro de Insuficiencia Cardiaca' (RICA) of the Spanish Society of Internal Medicine. The registry includes patients prospectively admitted in Internal Medicine units for acute HF. Variables included in Charlson Index (ChI) were collected and analysed according to age, gender, left ventricular ejection fraction (LVEF) and Barthel Index. The primary end point of study was the likelihood of rehospitalization and death for any cause during the year after discharge.

RESULTS

We included 2051 patients, mean age 78 and 53% females. LVEF was ⩾ 50% in 59.1% of the cohort. There was a high degree of dependency as measured by Barthel Index (14.8 % had an index ≤ 60). Mean ChI was 2.91 (SD ± 2.4). The most frequent comorbidities included in ChI were diabetes mellitus (44.3%), chronic renal impairment (30.8%) and chronic obstructive pulmonary disease (COPD) (27.4%). Age, myocardial infarction, peripheral artery disease, dementia, COPD, chronic renal impairment and diabetes with target-organ damage were all identified as independent prognostic factors for the combined end point of rehospitalization and death at 1 year. However, if multivariate analysis was done including ChI, only this remained as an independent prognostic factor for the combined end point (P < 0.001).

CONCLUSIONS

HF is a comorbid condition. ChI is a simple and feasible tool for estimating the burden of comorbidities in such population. We believe that a holistic approach to HF would improve prognosis and the relief the pressure exerted on public health services.

Association of self-rated health with multimorbidity, chronic disease and psychosocial factors in a large middle-aged and older cohort from general practice: a cross-sectional study

BACKGROUND

The prevalence of coexisting chronic conditions (multimorbidity) is rising. Disease labels, however, give little information about impact on subjective health and personal illness experience. We aim to examine the strength of association of single and multimorbid physical chronic diseases with self-rated health in a middle-aged and older population in England, and to determine whether any association is mediated by depression and other psychosocial factors.

METHODS

25 268 individuals aged 39 to 79 years recruited from general practice registers in the European Prospective Investigation of Cancer (EPIC-Norfolk) study, completed a survey including self-rated health, psychosocial function and presence of common physical chronic conditions (cancer, stroke, heart attack, diabetes, asthma/bronchitis and arthritis). Logistic regression models determined odds of "moderate/poor" compared to "good/excellent" health by condition and number of conditions adjusting for psychosocial measures.

RESULTS

One-third (8252) reported one, around 7.5% (1899) two, and around 1% (194) three or more conditions. Odds of "moderate/poor" self-rated health worsened with increasing number of conditions (one (OR = 1.3(1.2-1.4)) versus three or more (OR = 3.4(2.3-5.1)), and were highest where there was comorbidity with stroke (OR = 8.7(4.6-16.7)) or heart attack (OR = 8.5(5.3-13.6)). Psychosocial measures did not explain the association between chronic diseases and multimorbidity with self-rated health.The relationship of multimorbidity with self-rated health was particularly strong in men compared to women (three or more conditions: men (OR = 5.2(3.0-8.9)), women OR = 2.1(1.1-3.9)).

CONCLUSIONS

Self-rated health provides a simple, integrative patient-centred assessment for evaluation of illness in the context of multiple chronic disease diagnoses. Those registering in general practice in particular men with three or more diseases or those with cardiovascular comorbidities and with poorer self-rated health may warrant further assessment and intervention to improve their physical and subjective health.

[Comorbidity as a predictor of health services utilization and mortality in patients with diabetes]

OBJECTIVE

Chronic diseases are the main cause of mortality worldwide. Study of the most prevalent diseases is essential, as well as the development of indicators of health services' utilization and mortality in these patients. The objective of this study was to identify which comorbidity measure best predicts health services' utilization and mortality in patients with diabetes mellitus in our environment.

METHODS

A longitudinal study was carried out in a cohort of diabetes mellitus patients diagnosed in 2006 in Zaragoza and followed up to 2010. Logistic regression predictive models were developed. The number of diagnosis, the number of ambulatory diagnostic groups (ADG), and the number of major ambulatory diagnostic groups (MADG) from the Ambulatory Care Groups system were used as comorbidity measures. The validity measure consisted of the improvement in the model's explanatory capacity (c-statistic).

RESULTS

The prevalence of diabetes mellitus was 8.8%. Both the number of diagnoses and comorbidity were associated with health services' utilization and mortality. For mortality, the best indicator of comorbidity was the number of MADGs (c=0.763). The model adjusted by sex, age, number of MADGs, and number of hospitalizations had the highest explanatory capacity (c=0.818).

CONCLUSIONS

The ACG system allows resource consumption and mortality to be predicted in people with diabetes mellitus in our environment. This study confirms the substantial healthcare burden generated by patients with diabetes mellitus and the need to tackle this situation.

Managing high-risk surgical patients: modifiable co-morbidities matter

BACKGROUND

There are a subset of potentially modifiable co-morbidities that may be targeted in the preoperative phase with a view to optimizing control and improving post-operative outcomes. This study aims to estimate the effect of potentially modifiable co-morbidities on post-operative outcomes and to identify potential targets for preoperative management.

METHODS

Retrospective data on hospital separations in South Australia were analyzed using multiple regression to estimate the association between nine potentially modifiable co-morbidities and length of stay, post-operative complications and in-hospital mortality.

RESULTS

After adjusting for primary diagnosis, age, gender and other potential confounders, significant increases in length of stay and complications were recorded for eight and six of the nine modifiable co-morbidities, respectively. As examples, previous heart failure was associated with a 54% increase in length of stay and an odds ratio of 1.75 for complications. Asthma and chronic obstructive pulmonary disease was associated with a 38% increase in length of stay and an odds ratio of 1.64 for complications.

CONCLUSIONS

A set of potentially modifiable co-morbidities is associated with a range of poorer post-operative outcomes, relative to patients without those co-morbidities. There is a clinical rationale that outcomes will be worse in the subset of patients for whom such co-morbidities are poorly controlled, and that timely intervention to improve control in the period prior to surgery will improve post-operative outcomes. Further research is required on post-operative outcomes for patients with and without controlled co-morbidities and on the effects of timely intervention to improve control prior to surgery.