Hospital Inpatient Costs for Adults with Multiple Chronic Conditions

Evaluating Service Satisfaction and Sustainability of the Afya Insurance Scheme in Kuwait: An Exploratory Analysis

Purpose

In 2014, the Kuwaiti parliament enacted the private health insurance law for Kuwaiti retirees ie, Afya to enhance service quality for retirees through the involvement of the private sector. The study aimed to comprehensively analyze Afya across three crucial dimensions: efficiency, inclusiveness, effectiveness, and service quality; delivery of services throughout the revenue management cycle; and its long-term sustainability in Kuwait.

Methods

Conducted between June 2021 and August 2022, the study employed both web-based and hardcopy questionnaires, reaching a response rate of 78.79% from a random sample of 514 Kuwaiti beneficiaries holding Afya insurance cards. Exclusions were made for those who did not receive cards or declined participation, resulting in analysis of 405 completed surveys.

Results

The findings revealed that 95% of participants frequently utilized services from private hospitals, with a corresponding 78.79% satisfaction rate. However, when seeking medical services from government hospitals, respondents often opted to repeat procedures to ensure accurate results and diagnoses. Despite a strong endorsement for enhancing Afya's coverage plan (94%), over half of the respondents suggested a temporary suspension of the scheme to conduct thorough research and alleviate potential financial burdens on the government. Notably, a significant positive correlation (0.578, p < 0.01) was observed between beneficiary satisfaction and their experience with Afya coverage, underscoring the importance of aligning scheme operations with beneficiary needs.

Conclusion

Addressing these disparities and improving access to healthcare services for retirees necessitate a thorough reformation of the Afya scheme. To address these challenges, the study recommends comprehensive reform through evidence-based research, enhanced information exchange mechanisms between public and private sectors, and broader coverage targeting younger demographics. These measures are crucial for ensuring the scheme's efficacy, sustainability, and alignment with the evolving healthcare landscape in Kuwait.

Multimorbidity impacts cardiovascular disease risk following percutaneous coronary intervention: latent class analysis of the Melbourne Interventional Group (MIG) registry

BACKGROUND

Multimorbidity is strongly associated with disability or functional decline, poor quality of life and high consumption of health care services. This study aimed (1) To identify patterns of multimorbidity among patients undergoing first recorded percutaneous coronary intervention (PCI); (2) To explore the association between the identified patterns of multimorbidity on length of hospital stay, 30-day and 12- month risk of major adverse cardiac and cerebrovascular events (MACCE) after PCI.

METHODS

A retrospective cohort study of the Melbourne Interventional Group (MIG) registry. This study included 14,025 participants who underwent their first PCI from 2005 to 2015 in Victoria, Australia. Based on a probabilistic modelling approach, Latent class analysis was adopted to classify clusters of people who shared similar combinations and magnitude of the comorbidity of interest. Logistic regression models were used to estimate odd ratios and 95% confidence interval (CI) for the 30-day and 12-month MACCE.

RESULTS

More than two-thirds of patients had multimorbidity, with the most prevalent conditions being hypertension (59%) and dyslipidaemia (60%). Four distinctive multimorbidity clusters were identified each with significant associations for higher risk of 30-day and 12-month MACCE. The cluster B had the highest risk of 30-day MACCE event that was characterised by a high prevalence of reduced estimated glomerular filtration rate (92%), hypertension (73%) and reduced ejection fraction (EF) (57%). The cluster C, characterised by a high prevalence of hypertension (94%), dyslipidaemia (88%), reduced eGFR (87%), diabetes (73%) and reduced EF (65%) had the highest risk of 12-month MACCE and highest length of hospital stay.

CONCLUSION

Hypertension and dyslipidaemia are prevalent in at least four in ten patients undergoing coronary angioplasty. This study showed that clusters of patients with multimorbidity had significantly different risk of 30-day and 12-month MACCE after PCI. This suggests the necessity for treatment approaches that are more personalised and customised to enhance patient outcomes and the quality of care delivered to patients in various comorbidity clusters. These results should be validated in a prospective cohort and to evaluate the potential impacts of these clusters on the prevention of MACCE after PCI.

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.

Goal Setting and Health-Related Outcomes in Chronic Diseases: A Systematic Review and Meta-Analysis of the Literature From 2000 to 2020

Identifying and synthesizing recent empirical research on goal setting among adults with chronic disease is the focus of this article. The article has two phases: Phase 1, a thematic analysis with machine reading of the data and manual thematic analysis, and Phase 2, a quantitative meta-analysis. Qualitative, quantitative, and mixed-method studies are included in Phase 1 (99 papers). Phase 2 includes only quantitative studies (75 papers). Five main themes are identified: (a) the effect of goal characteristics on health-related outcomes, (b) the effect of goal setting on health-related outcomes, (c) the effect of goal achievement on health-related outcomes, (d) goal alignment between patients and health care service providers, and (e) individual and collaborative goal setting of patients and health care service providers. The meta-analysis reveals considerable evidence of an association between goal setting and health-related outcomes.

The association between receipt of home care rehabilitation services and acute care hospital utilization in clients with multimorbidity following an acute care unit discharge: a retrospective cohort study

BACKGROUND

Individuals experiencing multimorbidity have more complex healthcare needs, use more healthcare services, and access multiple service providers across the healthcare continuum. They also experience higher rates of functional decline. Rehabilitation therapists are well positioned to address these functional needs; however, little is known about the influence of rehabilitation therapy on patient outcomes, and subsequent unplanned healthcare utilization for people with multimorbidity. The aims of this study were to: 1) describe and compare the characteristics of people with multimorbidity receiving: home care rehabilitation therapy alone, other home care services without rehabilitation therapy, and the combination of home care rehabilitation therapy and other home care services, and 2) determine the association between home care rehabilitation therapy and subsequent healthcare utilization among those recently discharged from an acute care unit.

METHODS

This retrospective cohort study used linked health administrative data housed within ICES, Ontario, Canada. The cohort included long-stay home care clients experiencing multimorbidity who were discharged from acute care settings between 2007-2015 (N = 43,145). Descriptive statistics, ANOVA's, t-tests, and chi-square analyses were used to describe and compare cohort characteristics. Multivariable logistic regression was used to understand the association between receipt of rehabilitation therapy and healthcare utilization.

RESULTS

Of those with multimorbidity receiving long-stay home care services, 45.5% had five or more chronic conditions and 46.3% required some assistance with ADLs. Compared to people receiving other home care services, those receiving home care rehabilitation therapy only were less likely to be readmitted to the hospital (OR = 0.78; 95% CI: 0.73-0.83) and use emergency department services (OR = 0.73; 95% CI: 0.69-0.78) within the first 3-months following hospital discharge.

CONCLUSIONS

Receipt of rehabilitation therapy was associated with less unplanned healthcare service use when transitioning from hospital to home among persons with multimorbidity. These findings suggest rehabilitation therapy may help to reduce the healthcare burden for individuals and health systems. Future research should evaluate the potential cost savings and health outcomes associated with providing rehabilitation therapy services for people with multimorbidity.

Maternal Schizophrenia and the Risk of a Childhood Chronic Condition

BACKGROUND AND HYPOTHESIS

Maternal schizophrenia heightens the risk for certain perinatal complications, yet it is not known to what degree future childhood chronic health conditions (Childhood-CC) might arise.

STUDY DESIGN

This population-based cohort study using health administrative data from Ontario, Canada (1995-2018) compared 5066 children of mothers with schizophrenia to 25 324 children of mothers without schizophrenia, propensity-matched on birth-year, maternal age, parity, immigrant status, income, region of residence, and maternal medical and psychiatric conditions other than schizophrenia. Cox proportional hazard models generated hazard ratios (HR) and 95% confidence intervals (CI) for incident Childhood-CCs, and all-cause mortality, up to age 19 years.

STUDY RESULTS

Six hundred and fifty-six children exposed to maternal schizophrenia developed a Childhood-CC (20.5/1000 person-years) vs. 2872 unexposed children (17.1/1000 person-years)-an HR of 1.18, 95% CI 1.08-1.28. Corresponding rates were 3.3 vs. 1.9/1000 person-years (1.77, 1.44-2.18) for mental health Childhood-CC, and 18.0 vs. 15.7/1000 person-years (1.13, 1.04-1.24) for non-mental health Childhood-CC. All-cause mortality rates were 1.2 vs. 0.8/1000 person-years (1.34, 0.96-1.89). Risk for children exposed to maternal schizophrenia was similar whether or not children were discharged to social service care. From age 1 year, risk was greater for children whose mothers were diagnosed with schizophrenia prior to pregnancy than for children whose mothers were diagnosed with schizophrenia postnatally.

CONCLUSIONS

A child exposed to maternal schizophrenia is at elevated risk of chronic health conditions including mental and physical subtypes. Future research should examine what explains the increased risk particularly for physical health conditions, and what preventive and treatment efforts are needed for these children.

GCAT|Panel, a comprehensive structural variant haplotype map of the Iberian population from high-coverage whole-genome sequencing

The combined analysis of haplotype panels with phenotype clinical cohorts is a common approach to explore the genetic architecture of human diseases. However, genetic studies are mainly based on single nucleotide variants (SNVs) and small insertions and deletions (indels). Here, we contribute to fill this gap by generating a dense haplotype map focused on the identification, characterization, and phasing of structural variants (SVs). By integrating multiple variant identification methods and Logistic Regression Models (LRMs), we present a catalogue of 35 431 441 variants, including 89 178 SVs (≥50 bp), 30 325 064 SNVs and 5 017 199 indels, across 785 Illumina high coverage (30x) whole-genomes from the Iberian GCAT Cohort, containing a median of 3.52M SNVs, 606 336 indels and 6393 SVs per individual. The haplotype panel is able to impute up to 14 360 728 SNVs/indels and 23 179 SVs, showing a 2.7-fold increase for SVs compared with available genetic variation panels. The value of this panel for SVs analysis is shown through an imputed rare Alu element located in a new locus associated with Mononeuritis of lower limb, a rare neuromuscular disease. This study represents the first deep characterization of genetic variation within the Iberian population and the first operational haplotype panel to systematically include the SVs into genome-wide genetic studies.

Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions

More than a quarter of all Americans are estimated to have multiple chronic conditions (MCC). It is known that shared modifiable lifestyle behaviors account for many common MCC. What is not precisely known is the dynamic effect of changes in lifestyle behaviors on the trajectories of MCC emergence. This paper proposes dynamic functional continuous time Bayesian networks to effectively formulate the dynamic effect of patients' modifiable lifestyle behaviors and their interaction with non-modifiable demographics and preexisting conditions on the emergence of MCC. The proposed method considers the parameters of the conditional dependencies of MCC as a nonlinear state-space model and develops an extended Kalman filter to capture the dynamics of the modifiable risk factors on the MCC evolution. It also develops a tensor-based control chart based on the integration of multilinear principal component analysis and multivariate exponentially weighted moving average chart to monitor the effect of changes in the modifiable risk factors on the risk of new MCC. We validate the proposed method based on a combination of simulation and a real dataset of 385 patients from the Cameron County Hispanic Cohort. The dataset examines the emergence of 5 chronic conditions (Diabetes, Obesity, Cognitive Impairment, Hyperlipidemia, Hypertension) based on 4 modifiable lifestyle behaviors representing (Diet, Exercise, Smoking Habits, Drinking Habits) and 3 non-modifiable demographic risk factors (Age, Gender, Education). For the simulated study, the proposed algorithm shows a run-length of 4 samples (4 months) to identify behavioral changes with significant impacts on the risk of new MCC. For the real data study, the proposed algorithm shows a run-length of one sample (one year) to identify behavioral changes with significant impacts on the risk of new MCC. The results demonstrate the sensitivity of the proposed methodology for dynamic prediction and monitoring of the risk of MCC emergence in individual patients.

Clinicians' Attitudes and System Capacity Regarding Transitional Care Practices Within a Health System: Survey Results From the Partners-PCORI Transitions Study

OBJECTIVES

Successful efforts to improve transitional care depend in part on local attitudes, workload, and training. Before implementing a multifaceted transitions intervention within an Accountable Care Organization, an understanding of contextual factors among providers involved in care transitions in inpatient and outpatient settings was needed.

METHODS

As part of the Partners-Patient-Centered Outcomes Research Institute (PCORI) Transitions Study, we purposefully sampled inpatient and outpatient providers within the Accountable Care Organization. Survey questions focused on training and feedback on transitional tasks and opinions on the quality of care transitions. We also surveyed unit- and practice-level leadership on current transitional care practices. Results are presented using descriptive statistics.

RESULTS

Among 387 providers surveyed, 220 responded (response rate = 57%) from 15 outpatient practices and 26 inpatient units. A large proportion of respondents reported to have never received training (50%) or feedback (68%) on key transitional care activities, and most (58%) reported insufficient time to complete these tasks. Respondents on average reported transitions processes led to positive outcomes some to most of the time (mean scores = 4.70-5.16 on a 1-7 scale). Surveys of leadership showed tremendous variation by unit and by practice in the performance of various transitional care activities.

CONCLUSIONS

Many respondents felt that training, feedback, and time allotted to key transitional care activities were inadequate. Satisfaction with the quality of the transitions process was middling. Understanding these results, especially variation by location, was important to customizing implementation of the intervention and will be key to understanding variation in the success of the intervention across locations.

Impact of in-hospital intravenous iron supplementation on red blood cell transfusions: experience from an Internal Medicine Unit

BACKGROUND

Pharmacological treatment of iron deficiency anaemia can reduce red blood cell (RBC) transfusions. Intravenous iron provides a more effective and quicker correction of iron deficiency anaemia than oral iron, and third-generation high-dose intravenous iron formulations allow the complete correction of iron deficiency with just one or two drug infusions, thus facilitating iron supplementation therapy and reducing transfusion requirement.

MATERIAL AND METHODS

In an observational, retrospective study we compared RBC transfusion requirement during hospitalisation and within 3 months of hospital discharge in 88 patients with iron deficiency anaemia treated with high-dose ferric carboxymaltose and in 85 patients treated with ferric gluconate while hospitalised in the Internal Medicine unit of our Institution.

RESULTS

Ferric carboxymaltose reduced the number of RBC units given to each transfused patient during hospitalisation (1.81±0.84 vs 2.39±1.49, p=0.011). At hospital discharge, fewer ferric carboxymaltose patients were prescribed home therapy with iron. No differences between treatment groups were observed in the proportion of patients or the number of RBC units transfused within 3 months of discharge. At one month from discharge, however, only 2 ferric carboxymaltose patients had been transfused compared with 7 ferric gluconate patients (p=0.078). Patients transfused post-discharge were more likely to have an underlying malignancy and/or higher serum creatinine concentrations.

DISCUSSION

Treatment with ferric carboxymaltose reduced the number of RBC units per transfused patient. Larger studies are required to define risk factors associated with post-discharge transfusion requirement and to establish if home therapy with iron will reduce subsequent transfusions in patients treated with ferric carboxymaltose.

Hospital Volumes of Inpatient Pediatric Surgery in the United States

BACKGROUND

Perioperative outcomes of children depend on the skill and expertise in managing pediatric patients, as well as integration of surgical, anesthesiology, and medical teams. We compared the types of pediatric patients and inpatient surgical procedures performed in low- versus higher-volume hospitals throughout the United States.

METHODS

Retrospective analysis of 323,258 hospitalizations with an operation for children age 0 to 17 years in 2857 hospitals included in the Agency for Healthcare Research and Quality (AHRQ) Kids' Inpatient Database (KID) 2016. Hospitals were categorized by their volume of annual inpatient surgical procedures. Specific surgeries were distinguished with the AHRQ Clinical Classification System. We assessed complex chronic conditions (CCCs) using Feudtner and Colleagues' system.

RESULTS

The median annual volume of pediatric inpatient surgeries across US hospitals was 8 (interquartile range [IQR], 3-29). The median volume of inpatient surgeries for children with a CCC was 4 (IQR, 1-13). Low-volume hospitals performed significantly fewer types of surgeries (median 2 vs 131 types of surgeries in hospitals with 1-24 vs ≥2000 volumes). Appendectomy and fixation of bone fracture were among the most common surgeries in low-volume hospitals. As the volume of surgical procedures increased from 1 to 24 to ≥2000, the percentage of older children ages 11 to 17 years decreased (70.9%-32.0% [P < .001]) and the percentage of children with a CCC increased (11.2%-60.0% [P < .001]).

CONCLUSIONS

Thousands of US hospitals performed inpatient surgeries on few pediatric patients, including those with CCCs who have the highest risk of perioperative morbidity and mortality. Evaluation of perioperative decision making, workflows, and pediatric clinicians in low- and higher-volume hospitals is warranted.

Utilidad del índice de comorbilidad de Charlson en personas ancianas. Concordancia con otros índices de comorbilidad

Objetivo. El objetivo principal de nuestro estudio fue evaluar la utilidad actual del índice de comorbilidad de Charlson (CCI) para predecir la mortalidad en personas mayores y la concordancia entre varios índices. Diseño. Estudio observacional, cohorte concurrente. Emplazamiento. Servicio de Medicina Interna de un hospital terciario, pacientes ambulatorios de un centro de salud y residentes de cuatro hogares de ancianos. Participantes. 375 individuos ≥ 65 años, con supervivencia esperada ≥ 6 meses, sin deterioro cognitivo. Mediciones principales. Se realizaron tres índices: CCI, el índice geriátrico de comorbilidad (GIC) y el índice de Kaplan-Feinstein (KF). A los 12 meses, se registró mortalidad. Los datos se analizaron con IBM SPSS Statistics® versión 23.0. Resultados. Edad media: 81,4 años. El CCI mostró comorbilidad baja-media en el grupo ambulatorio de 65-75 años (43 [75,4%]); moderada-alta más común en hospitalizados (19 [61,3%]) y en hogares de ancianos (5 [62,5%]). Al año fallecieron 59 (16,1%) individuos: con CCI: 10 (6,4%) comorbilidad baja-media y 49 (23,3%) moderada-alta, odds ratio (OR) 3,63 (intervalo de confianza [IC] 95% 1,76-7,51); con KF: 27 (13,3%) baja-media y 32 (19,5%) moderada-alta, OR 1,38 (IC 95% 0,78-2,44), y con GIC: 45 (14,1%) baja-media y 14 (29,2%) moderada-alta, OR 2,47 (IC 95% 1,21-5,06). La concordancia entre CCI-KF fue: 65-75 años: K = 0,62, 76-85 años: K = 0,396, y ≥ 86 años: K = 0,255. La concordancia entre CCI-GIC: 65-75 años: K = 0,202, 76-85 años: K = 0,069, y ≥ 86 años: K = 0,118. Conclusión. El CCI es el mejor predictor de mortalidad después de 1 año de seguimiento. Concordancia considerable entre CCI y KF en los individuos de 65-75 años, en el resto de las franjas etarias la correlación con GIC fue insignificante. Palabras clave: comorbilidad, mortalidad, anciano frágil.

Timing of Co-occurring Chronic Conditions in Children With Neurologic Impairment

BACKGROUND

Children with neurologic impairment (NI) are at risk for developing co-occurring chronic conditions, increasing their medical complexity and morbidity. We assessed the prevalence and timing of onset for those conditions in children with NI.

METHODS

This longitudinal analysis included 6229 children born in 2009 and continuously enrolled in Medicaid through 2015 with a diagnosis of NI by age 3 in the IBM Watson Medicaid MarketScan Database. NI was defined with an existing diagnostic code set encompassing neurologic, genetic, and metabolic conditions that result in substantial functional impairments requiring subspecialty medical care. The prevalence and timing of co-occurring chronic conditions was assessed with the Agency for Healthcare Research and Quality Chronic Condition Indicator system. Mean cumulative function was used to measure age trends in multimorbidity.

RESULTS

The most common type of NI was static (56.3%), with cerebral palsy (10.0%) being the most common NI diagnosis. Respiratory (86.5%) and digestive (49.4%) organ systems were most frequently affected by co-occurring chronic conditions. By ages 2, 4, and 6 years, the mean (95% confidence interval [CI]) numbers of co-occurring chronic conditions were 3.7 (95% CI 3.7-3.8), 4.6 (95% CI 4.5-4.7), and 5.1 (95% CI 5.1-5.2). An increasing percentage of children had ≥9 co-occurring chronic conditions as they aged: 5.3% by 2 years, 10.0% by 4 years, and 12.8% by 6 years.

CONCLUSIONS

Children with NI enrolled in Medicaid have substantial multimorbidity that develops early in life. Increased attention to the timing and types of multimorbidity in children with NI may help optimize their preventive care and case management health services.

Anemia in patients with Covid-19: pathogenesis and clinical significance

COVID-19 patients typically present with lower airway disease, although involvement of other organ systems is usually the rule. Hematological manifestations such as thrombocytopenia and reduced lymphocyte and eosinophil numbers are highly prevalent in COVID-19 and have prognostic significance. Few data, however, are available about the prevalence and significance of anemia in COVID-19. In an observational study, we investigated the prevalence, pathogenesis and clinical significance of anemia among 206 patients with COVID-19 at the time of their hospitalization in an Internal Medicine unit. The prevalence of anemia was 61% in COVID-19, compared with 45% in a control group of 71 patients with clinical and laboratory findings suggestive of COVID-19, but nasopharyngeal swab tests negative for SARS-CoV-2 RNA (p = 0.022). Mortality was higher in SARS-CoV-2 positive patients. In COVID-19, females had lower hemoglobin concentration than males and a higher prevalence of moderate/severe anemia (25% versus 13%, p = 0.032). In most cases, anemia was mild and due to inflammation, sometimes associated with iron and/or vitamin deficiencies. Determinants of hemoglobin concentration included: erythrocyte sedimentation rate, serum cholinesterase, ferritin and protein concentrations and number of chronic diseases affecting each patient. Hemoglobin concentration was not related to overall survival that was, on the contrary, influenced by red blood cell distribution width, age, lactate dehydrogenase and the ratio of arterial partial oxygen pressure to inspired oxygen fraction. In conclusion, our results highlight anemia as a common manifestation in COVID-19. Although anemia does not directly influence mortality, it usually affects elderly, frail patients and can negatively influence their quality of life.

Home care rehabilitation therapy services for individuals with multimorbidity: A rapid review

Multimorbidity refers to the co-occurrence of two or more chronic conditions, where no one disease is considered the central disease. Individuals with multimorbidity experience increased patient health complexity, increased disability and functional decline, and increased health care utilization. Rehabilitation therapists are well positioned to address the complex functional needs that can contribute to disability for people living with multimorbidity; however, it is not well understood how they address these needs within the home care setting. A rapid review was conducted to identify and synthesize the existing literature on home care rehabilitation services for clients with multimorbidity and the effect of those services. Two electronic databases (Medline and CINAHL) were searched. The Journal of Comorbidity was hand-searched for thoroughness because this journal focuses on populations with multiple chronic conditions. This rapid review included observational and experimental studies that focused on rehabilitation therapy interventions embedded within existing home care systems for adults with multimorbidity. Four studies were included in the final review. The results revealed that therapists delivered interventions aimed towards improving functional outcomes related to activities of daily living and instrumental activities of daily living. Physical therapy interventions were the only therapy delivered in three of the four studies included. Furthermore, 50% of these studies explicitly included people with chronic conditions impacting the musculoskeletal system only. This review offers an important perspective on how home care rehabilitation therapy interventions and outcomes are operationalized for individuals with multimorbidity. Despite the varying definitions of multimorbidity, therapeutic intervention supported functional improvements.

Avoiding unnecessary hospitalisation for patients with chronic conditions: a systematic review of implementation determinants for hospital avoidance programmes

Background

Studies of clinical effectiveness have demonstrated the many benefits of programmes that avoid unnecessary hospitalisations. Therefore, it is imperative to examine the factors influencing implementation of these programmes to ensure these benefits are realised across different healthcare contexts and settings. Numerous factors may act as determinants of implementation success or failure (facilitators and barriers), by either obstructing or enabling changes in healthcare delivery. Understanding the relationships between these determinants is needed to design and tailor strategies that integrate effective programmes into routine practice. Our aims were to describe the implementation determinants for hospital avoidance programmes for people with chronic conditions and the relationships between these determinants.

Methods

An electronic search of four databases was conducted from inception to October 2019, supplemented by snowballing for additional articles. Data were extracted using a structured data extraction tool and risk of bias assessed using the Hawker Tool. Thematic synthesis was undertaken to identify determinants of implementation success or failure for hospital avoidance programmes for people with chronic conditions, which were categorised according to the Consolidated Framework for Implementation Research (CFIR). The relationships between these determinants were also mapped.

Results

The initial search returned 3537 articles after duplicates were removed. After title and abstract screening, 123 articles underwent full-text review. Thirteen articles (14 studies) met the inclusion criteria. Thematic synthesis yielded 23 determinants of implementation across the five CFIR domains. ‘Availability of resources’, ‘compatibility and fit’, and ‘engagement of interprofessional team’ emerged as the most prominent determinants across the included studies. The most interconnected implementation determinants were the ‘compatibility and fit’ of interventions and ‘leadership influence’ factors.

Conclusions

Evidence is emerging for how chronic condition hospital avoidance programmes can be successfully implemented and scaled across different settings and contexts. This review provides a summary of key implementation determinants and their relationships. We propose a hypothesised causal loop diagram to represent the relationship between determinants within a complex adaptive system.

Trial registration

PROSPERO 162812 

Patterns of multimorbidity in medical inpatients: a multinational retrospective cohort study

Multimorbidity is frequent and represents a significant burden for patients and healthcare systems. However, there are limited data on the most common combinations of comorbidities in multimorbid patients. We aimed to describe and quantify the most common combinations of comorbidities in multimorbid medical inpatients. We used a large retrospective cohort of adults discharged from the medical department of 11 hospitals across 3 countries (USA, Switzerland, and Israel) between 2010 and 2011. Diseases were classified into acute versus chronic. Chronic diseases were grouped into clinically meaningful categories of comorbidities. We identified the most prevalent combinations of comorbidities and compared the observed and expected prevalence of the combinations. We assessed the distribution of acute and chronic diseases and the median number of body systems in relationship to the total number of diseases. Eighty-six percent (n = 126,828/147,806) of the patients were multimorbid (≥ 2 chronic diseases), with a median of five chronic diseases; 13% of the patients had ≥ 10 chronic diseases. Among the most frequent combinations of comorbidities, the most prevalent comorbidity was chronic heart disease. Other high prevalent comorbidities included mood disorders, arthropathy and arthritis, and esophageal disorders. The ratio of chronic versus acute diseases was approximately 2:1. Multimorbidity affected almost 90% of patients, with a median of five chronic diseases. Over 10% had ≥ 10 chronic diseases. This identification and quantification of frequent combinations of comorbidities among multimorbid medical inpatients may increase awareness of what should be taken into account when treating such patients, a growth in the need for special care considerations.

Proactive Integrated Consultation-Liaison Psychiatry: A new service model for the psychiatric care of general hospital inpatients

OBJECTIVE

To describe a new service model for the psychiatric care of general hospital inpatients, called Proactive Integrated Consultation-Liaison Psychiatry ('Proactive Integrated Psychological Medicine' in the UK).

METHOD

The new service model was developed especially for general hospital inpatient populations with multimorbidity, such as older medical inpatients. Its design was informed by the published literature and the clinical experience of C-L psychiatrists. It was operationalized by a process of iterative piloting.

RESULTS

The rationale for the new model and the principles underpinning it are outlined. Details of how to implement it, including a service manual and associated workbook, are provided. The training of clinicians to deliver it is described. The effectiveness and cost-effectiveness of this new service model is being evaluated. Whilst we have found it feasible to deliver and well-accepted by ward teams, potential challenges to its wider implementation are discussed.

CONCLUSION

Proactive Integrated Consultation-Liaison Psychiatry (PICLP) is a fusion of proactive consultation and integrated care, operationalized in a field-tested service manual. Initial experience indicates that it is feasible to deliver. Its effectiveness and cost effectiveness for older patients on acute medical wards is currently being evaluated in a large multicentre randomized controlled trial (The HOME Study).

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.

Best Definitions of Multimorbidity to Identify Patients With High Health Care Resource Utilization

Objective

To compare different definitions of multimorbidity to identify patients with higher health care resource utilization.

Patients and Methods

We used a multinational retrospective cohort including 147,806 medical inpatients discharged from 11 hospitals in 3 countries (United States, Switzerland, and Israel) between January 1, 2010, and December 31, 2011. We compared the area under the receiver operating characteristic curve (AUC) of 8 definitions of multimorbidity, based on International Classification of Diseases codes defining health conditions, the Deyo-Charlson Comorbidity Index, the Elixhauser-van Walraven Comorbidity Index, body systems, or Clinical Classification Software categories to predict 30-day hospital readmission and/or prolonged length of stay (longer than or equal to the country-specific upper quartile). We used a lower (yielding sensitivity ≥90%) and an upper (yielding specificity ≥60%) cutoff to create risk categories.

Results

Definitions had poor to fair discriminatory power in the derivation (AUC, 0.61-0.65) and validation cohorts (AUC, 0.64-0.71). The definitions with the highest AUC were number of (1) health conditions with involvement of 2 or more body systems, (2) body systems, (3) Clinical Classification Software categories, and (4) health conditions. At the upper cutoff, sensitivity and specificity were 65% to 79% and 50% to 53%, respectively, in the validation cohort; of the 147,806 patients, 5% to 12% (7474 to 18,008) were classified at low risk, 38% to 55% (54,484 to 81,540) at intermediate risk, and 32% to 50% (47,331 to 72,435) at high risk.

Conclusion

Of the 8 definitions of multimorbidity, 4 had comparable discriminatory power to identify patients with higher health care resource utilization. Of these 4, the number of health conditions may represent the easiest definition to apply in clinical routine. The cutoff chosen, favoring sensitivity or specificity, should be determined depending on the aim of the definition.

Urban-rural and socioeconomic status: Impact on multimorbidity prevalence in hospitalized patients

OBJECTIVE

The aim of this study was to describe multimorbidity prevalence in hospitalized adults, by urban-rural area of residence and socioeconomic status (SES).

METHODS

Linked hospital episode data were used. Adults (≥18 years) admitted to hospital as an inpatient during 2014 in Grampian, Scotland, were included. Conditions were identified from admissions during the 5 years prior to the first admission in 2014. Multimorbidity was defined as ≥2 conditions and measured using Tonelli et al. based on International Classification of Diseases-10 coding (preselected list of 30 conditions). We used proportions and 95% confidence intervals (CIs) to summarize the prevalence of multimorbidity by age group, sex, urban-rural category and deprivation. The association between multimorbidity and patient characteristics was assessed using the χ 2 test.

RESULTS

Forty one thousand five hundred and forty-five patients were included (median age 62, 52.6% female). Overall, 27.4% (95% CI 27.0, 27.8) of patients were multimorbid. Multimorbidity prevalence was 28.8% (95% CI 28.1, 29.5) in large urban versus 22.0% (95% CI 20.9, 23.3) in remote rural areas and 28.7% (95% CI 27.2, 30.3) in the most deprived versus 26.0% (95% CI 25.2, 26.9) in the least deprived areas. This effect was consistent in all age groups, but not statistically significant in the age group 18-29 years. Multimorbidity increased with age but was similar for males and females.

CONCLUSION

Given the scarcity of research into the effect of urban-rural area and SES on multimorbidity prevalence among hospitalized patients, these findings should inform future research into new models of care, including the consideration of urban-rural area and SES.

Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China

The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD) patients is important for addressing the economic burden of COPD. The objectives of this study were to use machine learning approaches to identify and predict potential high-cost patients and explore the key variables of the forecasting model, by comparing differences in the predictive performance of different variable sets. Machine learning approaches were used to estimate the medical costs of COPD patients using the Medical Insurance Data of a large city in western China. The prediction models used were logistic regression, random forest (RF), and extreme gradient boosting (XGBoost). All three models had good predictive performance. The XGBoost model outperformed the others. The areas under the ROC curve for Logistic Regression, RF and XGBoost were 0.787, 0.792 and 0.801. The precision and accuracy metrics indicated that the methods achieved correct and reliable results. The results of this study can be used by healthcare data analysts, policy makers, insurers, and healthcare planners to improve the delivery of health services.

Impact of multimorbidity subgroups on the health care use of early pediatric cancer survivors

BACKGROUND

Although pediatric cancer survivors in the United States are at an increased risk of developing chronic conditions, to the authors' knowledge there is limited information regarding the types and combinations of conditions they experience in the years immediately after the completion of cancer therapy.

METHODS

An observational cohort study of early pediatric cancer survivors (children who were ≥2 years from the end of therapy and aged ≤18 years) was conducted using the Truven Health MarketScan (r) Commercial Claims and Encounters database (2009-2014). Latent class analysis was used to identify comorbidity groups among the subset with ≥2 conditions. Group-level health care use was compared with survivors without chronic conditions using multivariate regression.

RESULTS

A total of 3687 early survivors were identified, of whom approximately 41.2% had no chronic conditions, 22.5% had 1 chronic condition, and 36.3% had ≥2 chronic conditions. Among those with ≥2 chronic conditions, 5 groups emerged: 1) general pediatric morbidity (35.4%); 2) central nervous system (CNS) (22.4%); 3) mental health conditions (22.2%); 4) endocrine (26.2%); and 5) CNS with endocrine (3.8%). The CNS group experienced the highest expenditures, at $17,964 more per year (95% CI, $1446-$34,482) compared with survivors without chronic conditions. The CNS group also had the highest odds of an emergency department visit (adjusted odds ratio, 1.71; 95% CI, 1.15-2.56). The endocrine group had the highest odds of hospitalization (odds ratio, 2.29; 95% CI, 1.24-4.22).

CONCLUSIONS

Multimorbidity is common among pediatric cancer survivors. The current study identified 5 distinct comorbidity subgroups, all of which experienced high, yet differential, rates of health care use. The results of the current study highlight the complex health care needs of early survivors and provide evidence for the design of targeted survivorship services and interventions.

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.

Patterns of multimorbidity associated with 30-day readmission: a multinational study

BACKGROUND

Multimorbidity is associated with higher healthcare utilization; however, data exploring its association with readmission are scarce. We aimed to investigate which most important patterns of multimorbidity are associated with 30-day readmission.

METHODS

We used a multinational retrospective cohort of 126,828 medical inpatients with multimorbidity defined as ≥2 chronic diseases. The primary and secondary outcomes were 30-day potentially avoidable readmission (PAR) and 30-day all-cause readmission (ACR), respectively. Only chronic diseases were included in the analyses. We presented the OR for readmission according to the number of diseases or body systems involved, and the combinations of diseases categories with the highest OR for readmission.

RESULTS

Multimorbidity severity, assessed as number of chronic diseases or body systems involved, was strongly associated with PAR, and to a lesser extend with ACR. The strength of association steadily and linearly increased with each additional disease or body system involved. Patients with four body systems involved or nine diseases already had a more than doubled odds for PAR (OR 2.35, 95%CI 2.15-2.57, and OR 2.25, 95%CI 2.05-2.48, respectively). The combinations of diseases categories that were most strongly associated with PAR and ACR were chronic kidney disease with liver disease or chronic ulcer of skin, and hematological malignancy with esophageal disorders or mood disorders, respectively.

CONCLUSIONS

Readmission was associated with the number of chronic diseases or body systems involved and with specific combinations of diseases categories. The number of body systems involved may be a particularly interesting measure of the risk for readmission in multimorbid patients.

Multi-Morbid Health Profiles and Specialty Healthcare Service Use: A Moderating Role of Poverty

Increasing life expectancy in the USA makes a better understanding of the heterogeneous healthcare needs of the aging population imperative. Many aging studies have discovered multimorbid health problems focusing mainly on various physical health conditions, but not on combined mental or behavioral health problems. There is also a paucity of studies with older adults who use professional healthcare services caring for their mental and substance-related conditions. This study aims to enhance the knowledge of older peoples' complex healthcare needs involving physical, mental, and behavioral conditions; examine the relationship between multi-morbid health profiles and specialty healthcare service utilization; and investigate its association to poverty. The study data were derived from the National Survey on Drug Use and Health (NSDUH) in 2013 (n = 6296 respondents aged 50 years and older). To identify overall health conditions, nine indicators, including physical, mental, and substance/alcohol, were included. Healthcare service utilization was measured with four mutually exclusive categories: No treatment, mental health treatment only, substance use treatment only, and both. We identified four health profiles: Healthy (82%), having physical health problems (6%), physical and mental health problems (4%), and behavioral problems (8%). Older people's health profiles were differentially associated with healthcare use. Those living in poverty with both physical and mental health problems or substance/alcohol health problems were less likely to receive mental health and substance use treatments than those with more financial resources. Implications for geriatric healthcare practices and policy are discussed.

Outpatient Prescription Opioid Use in Pediatric Medicaid Enrollees With Special Health Care Needs

BACKGROUND AND OBJECTIVES

Although potentially dangerous, little is known about outpatient opioid exposure (OE) in children and youth with special health care needs (CYSHCN). We assessed the prevalence and types of OE and the diagnoses and health care encounters proximal to OE in CYSHCN.

METHODS

This is a retrospective cohort study of 2 597 987 CYSHCN aged 0-to-18 years from 11 states, continuously enrolled in Medicaid in 2016, with ≥1 chronic condition. OE included any filled prescription (single or multiple) for opioids. Health care encounters were assessed within 7 days before and 7 and 30 days after OE.

RESULTS

Among CYSHCN, 7.4% had OE. CYSHCN with OE versus without OE were older (ages 10-18 years: 69.4% vs 47.7%), had more chronic conditions (≥3 conditions: 49.1% vs 30.6%), and had more polypharmacy (≥5 other medication classes: 54.7% vs 31.2%), P < .001 for all. Most (76.7%) OEs were single fills with a median duration of 4 days (interquartile range: 3-6). The most common OEs were acetaminophen-hydrocodone (47.5%), acetaminophen-codeine (21.5%), and oxycodone (9.5%). Emergency department visits preceded 28.8% of OEs, followed by outpatient surgery (28.8%) and outpatient specialty care (19.1%). Most OEs were preceded by a diagnosis of infection (25.9%) or injury (22.3%). Only 35.1% and 62.2% of OEs were associated with follow-up visits within 7 and 30 days, respectively.

CONCLUSIONS

OE in CYSHCN is common, especially with multiple chronic conditions and polypharmacy. In subsequent studies, researchers should examine the appropriateness of opioid prescribing, particularly in emergency departments, as well as assess for drug interactions with chronic medications and reasons for insufficient follow-up.

Causal analysis of the impact of homecare services on patient discharge disposition

This study uses observational causal inference to evaluate the impact of different combinations of home care services (nursing, therapies, social work, home aides) on end-of-episode disposition for individuals with chronic diseases associated with the circulatory, endocrine, and musculoskeletal systems. The potential to generate actionable recommendations for personalizing home care services, or treatment plans, from limited clinical and care needs data is demonstrated. For patients with chronic disease in the circulatory or musculoskeletal systems, a 2.91% and 3.38% decrease, respectively, in acute care hospitalization rates could be obtained by providing patients with therapy and nursing services, rather than therapy services alone.

Healthcare utilization of breast cancer patients following telephone-based consultations of oncology nurse navigator via telemedical care

Objectives

To characterize breast cancer patients who received telephone-based consultations of oncology nurse navigator via telemedical care (TMC patients) and analyze their healthcare utilization (HCU) one year before and after receiving this service.

Methods

A retrospective study among Maccabi Healthcare Services enrollees that were newly diagnosed during 2016 (n = 1035). HCU, demographic characteristics and comorbidities were obtained from computerized database. Multivariable ordered logit model was specified for the determinants of HCU by quarters. Independent variables included: annual number of telephone-based consultations, gap between diagnosis and first consultation, age, socio-economic status, eligibility for disability and income security benefits, and comorbidities.

Results

Twenty-two percent of our cohort were TMC patients. Compared to others, these patients were younger and had a lower prevalence of hypertension. A higher proportion of these patients received disability benefits, and a lower proportion received income security benefits. The total average annual HCU of TMC patients (n = 107) before first consultation was $8857 and increased to $44130 in the first year following it (p<0.001), predominantly due to a significant increase in outpatient visits ($20380 vs. $3502, p<0.001) and medication costs ($19339 vs. $1758, p<0.001). The multivariable model revealed that each additional telephone-based consultation decreased the likelihood to be in the lowest quarter of the HCU distribution by 1.1 percentage points (p = 0.015), and increased the likelihood to be in the upper quarter of the HCU distribution by 1.1 percentage points (p = 0.016).

Conclusions

There was a significant increase in outpatient care and medications usage following first consultation. Moreover, a more intense use of this service was associated with elevated HCU. This result may stem from the proactive nature of the telemedical care.

Developments in Transduction, Connectivity and AI/Machine Learning for Point-of-Care Testing

We review some emerging trends in transduction, connectivity and data analytics for Point-of-Care Testing (POCT) of infectious and non-communicable diseases. The patient need for POCT is described along with developments in portable diagnostics, specifically in respect of Lab-on-chip and microfluidic systems. We describe some novel electrochemical and photonic systems and the use of mobile phones in terms of hardware components and device connectivity for POCT. Developments in data analytics that are applicable for POCT are described with an overview of data structures and recent AI/Machine learning trends. The most important methodologies of machine learning, including deep learning methods, are summarised. The potential value of trends within POCT systems for clinical diagnostics within Lower Middle Income Countries (LMICs) and the Least Developed Countries (LDCs) are highlighted.

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.

Bringing complexity into clinical practice: An internistic approach

Modern medicine, still largely focused on single diseases, is unprepared for managing clinical complexity (CC), which is an emerging issue. Ageing of the general population has favoured the occurrence of chronic diseases, which generate multimorbidity that has been considered for many years the main feature of CC. However, more recent studies have shown that CC is something more and different and originates from the dynamic interaction among the patient's intrinsic factors (age, gender, multimorbidity, frailty) as well as contextual factors (socioeconomic, behavioural, cultural, and environmental). The result of these interactions is non-linear and unpredictable behaviour, which is difficult to manage both in clinical practice and in the organisation of care. Up to now, the prevalent approach has consisted of breaking down and separately analysing each CC component. Consequently, only incomplete strategies to improve health outcomes have been developed, such as limited patient-centred algorithms, deprescription of therapies, and local clinical governance interventions. Medical education has a pivotal role in transmitting the knowledge of complexity, making it realistically understandable and manageable. Future research should aim at implementing our knowledge of CC, developing new tools for its quantitation, and finding new solutions to improve important health outcomes at a sustainable cost.

Measuring multimorbidity in hospitalised patients using linked hospital episode data: comparison of two measures

Introduction

Multimorbidity is a complex and growing health challenge. There is no accepted “gold standard” multimorbidity measure for hospital resource planning, and few studies have compared measures in hospitalised patients.

Aim

To evaluate operationalisation of two multimorbidity measures in routine hospital episode data in NHS Grampian, Scotland.

Methods

Linked hospital episode data (Scottish Morbidity Record (SMR)) for the years 2009-2016 were used. Adults admitted to hospital as a general/acute inpatient during 2014 were included. Conditions (ICD-10) were identified from general/acute (SMR01) and psychiatric (SMR04) admissions during the five years prior to first admission in 2014. Two count-based multimorbidity measures were used (Charlson Comorbidity Index and Tonelli et al.), and multimorbidity was defined as ≥2 conditions. Kappa statistics assessed agreement. The association between multimorbidity and length of stay, readmission and mortality was assessed using logistic and negative binomial regression as appropriate.

Results

In 41,545 adults (median age 62 years, 52.6% female), multimorbidity prevalence was 15.1% (95% CI 14.8%, 15.5%) using Charlson and 27.4% (27.0%, 27.8%) using Tonelli – agreement 85.1% (Kappa 0.57). Multimorbidity prevalence, using both measures, increased with age. Multimorbidity was higher in males (16.5%) than females (13.9%) using the Charlson measure, but similar across genders when measured with Tonelli. After adjusting for covariates, multimorbidity remained associated with longer length of stay (Charlson IRR 1.1 (1.0, 1.2); Tonelli IRR 1.1 (1.0, 1.2)) and readmission (Charlson OR 2.1 (1.9, 2.2); Tonelli OR 2.1 (2.0, 2.2)). Multimorbidity had a stronger association with mortality when measured using Charlson (OR 2.7 (2.5, 2.9)), than using Tonelli (OR 1.8 (1.7, 2.0)).

Conclusions

Multimorbidity measures operationalised in hospital episode data identified those at risk of poor outcomes and such operationalised tools will be useful for future multimorbidity research and use in secondary care data systems. Multimorbidity measures are not interchangeable, and the choice of measure should depend on the purpose.

Highlights

Nursing in an age of multimorbidity

Background

A changing sociodemographic landscape has seen rising numbers of people with two or more long-term health conditions. Multimorbidity presents numerous challenges for patients and families and those who work in healthcare services. Therefore, the nursing profession needs to understand the issues involved in supporting people with multiple chronic conditions and how to prepare the future workforce to care for them.

Methods

A descriptive, exploratory study was used to examine the future of nursing in an age of multimorbidity. An hour-long Twitter chat was organised and run by the Florence Nightingale Foundation Chairs of Clinical Nursing Practice Research to discuss this important area of practice and identify what needs to be done to adequately upskill and prepare the nursing profession to care for individuals with more than one long-term illness. Questions were formulated in advance to provide some structure to the online discussion. Data were collected and analysed from the social media platform using NVivo and an analytics tool called Keyhole. Descriptive statistics were used to describe participants and thematic analysis aided the identification of key themes.

Results

Twenty-four people, from a range of nursing backgrounds and organisations, took part in the social media discussion. Five themes encompassing coping with treatment burden, delivering holistic care, developing an evidence base, stimulating learning and redesigning health services were seen as key to ensuring nurses could care for people with multimorbidity and prevent others from developing chronic health conditions.

Conclusions

Multimorbidity is a pressing health issue in today’s society. Changes in nursing research, education and practice are required to help the profession work collaboratively with patients, families and multidisciplinary teams to better manage and prevent chronic illness now and in the future.

Associations of Coexisting Conditions with Healthcare Spending for Children with Cerebral Palsy

OBJECTIVE

To determine which coexisting conditions have the strongest associations with healthcare use and spending among children with cerebral palsy (CP).

STUDY DESIGN

Retrospective analysis of 16 695 children ages 0-18 years with CP - identified with International Classification of Diseases, Ninth Revision, Clinical Modification codes - using Medicaid from January 1, 2013 to December 31, 2013 from 10 states in the Truven MarketScan Medicaid Database. Using generalized linear models, we assessed which coexisting conditions (including medical technology) identified with Agency for Healthcare Research and Quality's Chronic Condition Indicators had the strongest associations with total healthcare spending across the healthcare continuum.

RESULTS

Median per-patient annual Medicaid spending for children with CP was $12 299 (IQR $4826-$35 582). Most spending went to specialty (33.1%) and hospital (26.7%) care. The children had a median 6 (IQR 4-10) coexisting conditions; epilepsy was the most common (38.1%). Children with epilepsy accounted for 59.6% ($364 million) of all CP spending. In multivariable analysis, the coexisting conditions most strongly associated with increased spending were tracheostomy (median additional cost per patient = $56 567 [95%CI $51 386-61 748]) and enterostomy (median additional cost per patient = $25 707 [95%CI $23 753-27 660]).

CONCLUSIONS

Highly prevalent in children with CP using Medicaid, coexisting conditions correlate strongly with healthcare spending. Tracheostomy and enterostomy, which indicate significant functional impairments in breathing and digestion, are associated with the highest spending. Families, providers, payers, and legislators may leverage these findings when designing policies positioned to enable the best health and care for children with cerebral palsy.

National Landscape of Unplanned 30-Day Readmissions in Patients With Left Ventricular Assist Device Implantation

The number of patients with advanced heart failure receiving left ventricular assist device (LVAD) implantation has increased dramatically over the last decade. There are limited data available about the nationwide trends of complications leading to readmissions after implantation of contemporary devices. Patients who underwent LVAD implantation from January 2013 to December 2013 were identified using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code 37.66 from the Healthcare Cost and Utilization Project's National Readmission Database. The top causes of unplanned 30-day readmission after LVAD implantation were determined. Survey logistic regression was used to analyze the significant predictors of readmission. In 2013, there were 2,235 patients with an LVAD implantation. Of them, 665 (29.7%) had at least 1 unplanned readmission within 30 days, out of which 289 (43.4%) occurred within 10 days after discharge. Implant complications (14.9%), congestive heart failure (11.7%), and gastrointestinal bleeding (8.4%) were the top 3 diagnoses for the first readmission and accounted for more than a third of all readmissions. Significant predictors of readmissions included a prolonged length of stay during the index admission, Medicare insurance, and discharge to short-term facility. In conclusion, despite increased experience with LVADs, unplanned readmissions within 30 days of implantation remain significantly high.

Estimating the causal effects of chronic disease combinations on 30-day hospital readmissions based on observational Medicaid data

Objective

Demonstrate how observational causal inference methods can generate insights into the impact of chronic disease combinations on patients' 30-day hospital readmissions.

Materials and Methods

Causal effect estimation was used to quantify the impact of each risk factor scenario (ie, chronic disease combination) associated with chronic kidney disease and heart failure (HF) for adult Medicaid beneficiaries with initial hospitalizations in 2 New York State counties. The experimental protocol: (1) created matched risk factor and comparator groups, (2) assessed covariate balance in the matched groups, and (3) estimated causal effects and their statistical significance. Causality lattices summarized the impact of chronic disease comorbidities on readmissions.

Results

Chronic disease combinations were ordered with respect to their causal impact on readmissions. Of disease combinations associated with HF, the combination of HF, coronary artery disease, and tobacco abuse (in that order) had the highest causal effect on readmission rate (+22.3%); of disease combinations associated with chronic kidney disease, the combination of chronic kidney disease, coronary artery disease, and diabetes had the highest effect (+9.5%).

Discussion

Multi-hypothesis causal analysis reveals the effects of chronic disease comorbidities on health outcomes. Understanding these effects will guide the development of health care programs that address unique care needs of different patient subpopulations. Additionally, these insights bring new attention to individuals at high risk for readmission based on chronic disease comorbidities, allowing for more personalized attention and prioritization of care.

Conclusion

Multi-hypothesis causal analysis, a new methodological tool, generates meaningful insights from health care claims data, guiding the design of care and intervention programs.

Health-care spending and utilization for children discharged from a neonatal intensive care unit

OBJECTIVES

To describe health-care spending and utilization for infants discharged from the neonatal intensive care unit (NICU).

STUDY DESIGN

Retrospective cohort analysis of 4973 NICU graduates in the Truven MarketScan Medicaid database, with follow-up to the third birthday. Health-care spending and utilization after NICU discharge were assessed. Using logistic regression, we assessed clinical characteristics associated with hospitalization and emergency department (ED) visits.

RESULTS

Most (69.5%) post-NICU spending occurred within the first year [$33,276 per member per year]. Inpatient care accounted for most (71.6%) of the 3-year spending. The percentages of infants with a 1-year readmission or ED visit were 36.8% and 63.7%, respectively. Medical technology was associated with the highest likelihoods of hospital [aOR 17.8 (95%CI 12.2-26.0)] and ED use [aOR 2.3 (95%CI 1.8-3.0)].

CONCLUSIONS

Hospital care accounts for the majority of spending for NICU graduates. Infants with medical technology have the highest risk of hospital and ED use.

Interactive Effects of Dementia Severity and Comorbidities on Medicare Expenditures

BACKGROUND

Few studies have examined how dementia and comorbidities may interact to affect healthcare expenditures.

OBJECTIVE

To examine whether effects of dementia severity on Medicare expenditures differed for individuals with different levels of comorbidities.

METHODS

Data are drawn from the Washington Heights-Inwood Columbia Aging Project (WHICAP). Comprehensive clinical assessments of dementia severity were systematically carried out at ∼18 month intervals. Dementia severity was measured by Clinical Dementia Rating (CDR). Comorbidities were measured by a modified Elixhauser comorbidities index. Generalized linear models examined effects of dementia severity, comorbidities, and their interactions on Medicare expenditures (1999-2010).

RESULTS

At baseline, 1,280 subjects were dementia free (CDR = 0, 66.4%), 490 had very mild dementia (CDR = 0.5, 25.4%), 108 had mild dementia (CDR = 1, 5.6%), and 49 had moderate/severe dementia (CDR = 2/3, 2.5%). Average annual Medicare expenditures for individuals with moderate/severe dementia were more than twice as high as those who were dementia free (CDR = 0: $9,108, CDR = 0.5/1: $11,664, CDR≥2: $19,604, p < 0.01). Expenditures were approximately 10 times higher among those with≥3 comorbidities than among those with no comorbidities ($2,612 for those with no comorbidities, to $6,109 for those with 1, $10,656 for those with 2, and $30,244 for those with≥3 comorbidities, p < 0.001). Dementia severity was associated with higher expenditures, but comorbidities were the most important predictor of expenditures. We did not find strong interaction effects between number of comorbidities and dementia severity.

CONCLUSIONS

Increasing dementia severity and higher comorbidities are associated with higher Medicare expenditures. Care of individuals with dementia should focus on management of comorbidities.

Exploring the Validity of Developing an Interdisciplinarity Score of a Patient's Needs: Care Coordination, Patient Complexity, and Patient Safety Indicators

Despite the Affordable Care Act's push to improve the coordination of care for patients with multiple chronic conditions, most measures of coordination quality focus on a specific moment in the care process (e.g., medication errors or transfer between facilities), rather than patient outcomes. One possible supplementary way of measuring the care coordination quality of a facility would be to identify the patients needing the most coordination, and to look at outcomes for that group. This paper lays the groundwork for a new measure of care coordination quality by outlining a conceptual framework that considers the interaction between a patient's interdisciplinarity, biological susceptibility, and procedural intensity. Interdisciplinarity captures the degree of specialized medical expertise needed for a patient's care and will be an important measure to estimate the number of specialists a patient might see. We then develop a preliminary measure of interdisciplinarity and run tests linking interdisciplinarity to medical mistakes, as defined by Agency for Healthcare Research and Quality's Patient Safety Indicators. Finally, we use our preliminary measure to verify that interdisciplinarity is likely to be statistically different from existing measures of comorbidity, like the Charlson score. Future research will need to build upon our findings by developing a more statistically validated measure of interdisciplinarity.

A consensus for the development of a vector model to assess clinical complexity

The progressive rise in multimorbidity has made management of complex patients one of the most topical and challenging issues in medicine, both in clinical practice and for healthcare organizations. To make this easier, a score of clinical complexity (CC) would be useful. A vector model to evaluate biological and extra-biological (socio-economic, cultural, behavioural, environmental) domains of CC was proposed a few years ago. However, given that the variables that grade each domain had never been defined, this model has never been used in clinical practice. To overcome these limits, a consensus meeting was organised to grade each domain of CC, and to establish the hierarchy of the domains. A one-day consensus meeting consisting of a multi-professional panel of 25 people was held at our Hospital. In a preliminary phase, the proponents selected seven variables as qualifiers for each of the five above-mentioned domains. In the course of the meeting, the panel voted for five variables considered to be the most representative for each domain. Consensus was established with 2/3 agreement, and all variables were dichotomised. Finally, the various domains were parametrized and ranked within a feasible vector model. A Clinical Complexity Index was set up using the chosen variables. All the domains were graphically represented through a vector model: the biological domain was chosen as the most significant (highest slope), followed by the behavioural and socio-economic domains (intermediate slope), and lastly by the cultural and environmental ones (lowest slope). A feasible and comprehensive tool to evaluate CC in clinical practice is proposed herein.

National Estimates of 30-Day Unplanned Readmissions of Patients on Maintenance Hemodialysis

BACKGROUND AND OBJECTIVES

Patients on hemodialysis have high 30-day unplanned readmission rates. Using a national all-payer administrative database, we describe the epidemiology of 30-day unplanned readmissions in patients on hemodialysis, determine concordance of reasons for initial admission and readmission, and identify predictors for readmission.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

This is a retrospective cohort study using the Nationwide Readmission Database from the year 2013 to identify index admissions and readmission in patients with ESRD on hemodialysis. The Clinical Classification Software was used to categorize admission diagnosis into mutually exclusive clinically meaningful categories and determine concordance of reasons for admission on index hospitalizations and readmissions. Survey logistic regression was used to identify predictors of at least one readmission.

RESULTS

During 2013, there were 87,302 (22%) index admissions with at least one 30-day unplanned readmission. Although patient and hospital characteristics were statistically different between those with and without readmissions, there were small absolute differences. The highest readmission rate was for acute myocardial infarction (25%), whereas the lowest readmission rate was for hypertension (20%). The primary reasons for initial hospitalization and subsequent 30-day readmission were discordant in 80% of admissions. Comorbidities that were associated with readmissions included depression (odds ratio, 1.10; 95% confidence interval [95% CI], 1.05 to 1.15; P<0.001), drug abuse (odds ratio, 1.41; 95% CI, 1.31 to 1.51; P<0.001), and discharge against medical advice (odds ratio, 1.57; 95% CI, 1.45 to 1.70; P<0.001). A group of high utilizers, which constituted 2% of the population, was responsible for 20% of all readmissions.

CONCLUSIONS

In patients with ESRD on hemodialysis, nearly one quarter of admissions were followed by a 30-day unplanned readmission. Most readmissions were for primary diagnoses that were different from initial hospitalization. A small proportion of patients accounted for a disproportionate number of readmissions.

Contributions of Children With Multiple Chronic Conditions to Pediatric Hospitalizations in the United States: A Retrospective Cohort Analysis

BACKGROUND

Children with multiple chronic conditions (CMCC) are increasingly using hospital care. We assessed how much of US pediatric inpatient care is used by CMCC and which chronic conditions are the key drivers of hospital use.

METHODS

A retrospective analysis of all 2.3 million US acute-care hospital discharges in 2012 for children age 0 to 18 years in the Kids' Inpatient Database. The ∼4.5 million US hospitalizations for pregnancy, childbirth, and newborn and neonatal care were not assessed. We adapted the Agency for Healthcare Research and Quality's Chronic Condition Indicators to classify hospitalizations for children with no, 1, or multiple chronic conditions, and to determine which specific chronic conditions of CMCC are associated with high hospital resource use.

RESULTS

Of all pediatric acute-care hospitalizations, 34.3% were of children with no chronic conditions, 36.5% were of those with 1 condition, and 29.3% were of CMCC. Of the $23.6 billion in total hospital costs, 19.7%, 27.4%, and 53.9% were for children with 0, 1, and multiple conditions, respectively, and similar proportions were observed for hospital days. The three populations accounted for the most hospital days were as follows: children with no chronic condition (20.9%), children with a mental health condition and at least 1 additional chronic condition (20.2%), and children with a mental health condition without an additional chronic condition (13.3%). The most common mental health conditions were substance abuse disorders and depression.

CONCLUSIONS

CMCC accounted for over one-fourth of acute-care hospitalizations and one-half of all hospital dollars for US pediatric care in 2012. Substantial CMCC hospital resource use involves children with mental health-related conditions.

Reasons for admission and predictors of national 30-day readmission rates in patients with end-stage renal disease on peritoneal dialysis

Background

The number of patients with end-stage renal disease (ESRD) on peritoneal dialysis (PD) has increased by over 30% between 2007 and 2014. The Centers for Medicare and Medicaid has identified readmissions in ESRD patients to be a quality measure; however, there is a paucity of studies examining readmissions in PD patients.

Methods

Utilizing the National Readmission Database for the year 2013, we aimed to determine reasons for admission, the associated rates of unplanned readmission and independent predictors of readmissions in PD patients.

Results

The top 10 reasons for initial hospitalization were implant/PD catheter complications (23.22%), hypertension (5.47%), septicemia (5.18%), diabetes mellitus (DM) (5.12%), complications of surgical procedures/medical care (3.50%), fluid and electrolyte disorders (4.29%), peritonitis (3.76%), congestive heart failure (3.25%), pneumonia (2.90%) and acute myocardial infarction (AMI) (2.01%). The overall 30-day readmission rate was 14.6%, with the highest rates for AMI (21.8%), complications of surgical procedure/medical care (19.6%) and DM (18.4%). Concordance among the top 10 reasons for index admission and readmission was 22.6% and varied by admission diagnosis. Independent predictors of readmissions included age 35–49 years compared with 18–34 years [adjusted odds ratio (aOR) 1.35; 95% confidence interval (CI) 1.09–1.68; P = 0.006], female gender (aOR 1.27; 95% CI 1.12–1.44; P < 0.001), and comorbidities including liver disease (aOR 1.39; 95% CI 1.07–1.81; P = 0.01), peripheral vascular disease (aOR 1.33; 95% CI 1.14–1.56; P < 0.001) and depression (aOR 1.22; 95% CI 1.00–1.48; P = 0.04).

Conclusions

This study demonstrates the most common reasons for admission and readmissions in PD patients and several comorbidities that are predictive of readmissions. Targeted interventions towards these patients may be of benefit in reducing readmission in this growing population.

"We're Almost Guests in Their Clinical Care": Inpatient Provider Attitudes Toward Chronic Disease Management

BACKGROUND

Many hospitalized patients have at least 1 chronic disease that is not optimally controlled. The purpose of this study was to explore inpatient provider attitudes about chronic disease management and, in particular, barriers and facilitators of chronic disease management in the hospital.

METHODS

We conducted a qualitative study of semi-structured interviews of 31 inpatient providers from an academic medical center. We interviewed attending physicians, resident physicians, physician assistants, and nurse practitioners from various specialties about attitudes, experiences with, and barriers and facilitators towards chronic disease management in the hospital. Qualitative data were analyzed using constant comparative analysis.

RESULTS

Providers perceived that hospitalizations offer an opportunity to improve chronic disease management, as patients are evaluated by a new care team and observed in a controlled environment. Providers perceived clinical benefits to in-hospital chronic care, including improvements in readmission and length of stay, but expressed concerns for risks related to adverse events and distraction from the acute problem. Barriers included provider lack of comfort with managing chronic diseases, poor communication between inpatient and outpatient providers, and hospital-system focus on patient discharge. A strong relationship with the outpatient provider and involvement of specialists were facilitators of inpatient chronic disease management.

CONCLUSIONS

Providers perceived benefits to in-hospital chronic disease management for both processes of care and clinical outcomes. Efforts to increase inpatient chronic disease management will need to overcome barriers in multiple domains. Journal of Hospital Medicine 2017;12:162-167.

Impact of Chronic Conditions on Emergency Department Visits of Children Using Medicaid

OBJECTIVE

To assess the impact of chronic conditions on children's emergency department (ED) use.

STUDY DESIGN

Retrospective analysis of 1 850 027 ED visits in 2010 by 3 250 383 children ages 1-21 years continuously enrolled in Medicaid from 10 states included in the Truven Marketscan Medicaid Database. The main outcome was the annual ED visit rate not resulting in hospitalization per 1000 enrollees. We compared rates by enrollees' characteristics, including type and number of chronic conditions, and medical technology (eg, gastrostomy, tracheostomy), using Poisson regression. To assess chronic conditions, we used the Agency for Healthcare Research and Quality's Chronic Condition Indicator system, assigning chronic conditions with ED visit rates ≥75th percentile as having the "highest" visit rates.

RESULTS

The overall annual ED visit rate was 569 per 1000 enrollees. As the number of the children's chronic conditions increased from 0 to ≥3, visit rates increased by 180% (from 376 to 1053 per 1000 enrollees, P < .001). Rates were 174% higher in children assisted with vs without medical technology (1546 vs 565, P < .001). Sickle cell anemia, epilepsy, and asthma were among the chronic conditions associated with the highest ED visit rates (all ≥1003 per 1000 enrollees).

CONCLUSIONS

The highest ED visit rates resulting in discharge to home occurred in children with multiple chronic conditions, technology assistance, and specific conditions such as sickle cell anemia. Future studies should assess the preventability of ED visits in these populations and identify opportunities for reducing their ED use.