Co-morbidity does not reflect complexity in internal medicine patients

Rheumatoid arthritis, cardiometabolic comorbidities, and related conditions: need to take action

Rheumatoid Arthritis (RA) is associated with an increased risk of cardiovascular disease and mortality, however, traditional cardiovascular risk factors do not fully explain this relationship. This high risk of cardiovascular morbidity and mortality in RA has been increasingly acknowledged in past decades, with accumulating evidence that RA is an independent cardiovascular risk factor; RA is also associated with metabolic syndrome, which correlates with disease activity, contributing to the increased prevalence of coronary heart disease in RA patients. Moreover, multimorbidity, including the presence of long-term conditions, impacts adverse clinical outcomes in RA patients, emphasizing the need for holistic management that requires an understanding of shared pathophysiological mechanisms, such as systemic inflammation and immune dysregulation. For all these reasons, the management of RA patients with cardiometabolic comorbidities is a complex endeavor that requires a patient-centered, multidisciplinary approach. In this sense, there is a need to re-evaluate the approach toward a proactive model of care, moving away from a reactive medical paradigm to a multidimensional integrated management model, including aggressive screening, preventive strategies, and tailored therapeutic interventions. The aim of this review was to thoroughly review the literature on cardiometabolic comorbidities and related conditions linked to RA to enable us to identify the necessary actions required to effectively tackle the increasing burden of illness from a fully comprehensive perspective.

Beyond Diagnosis and Comorbidities-A Scoping Review of the Best Tools to Measure Complexity for Populations with Mental Illness

Beyond the challenges of diagnosis, complexity measurement in clients with mental illness is an important but under-recognized area. Accurate and appropriate psychiatric diagnoses are essential, and further complexity measurements could contribute to improving patient understanding, referral, and service matching and coordination, outcome evaluation, and system-level care planning. Myriad conceptualizations, frameworks, and definitions of patient complexity exist, which are operationalized by a variety of complexity measuring tools. A limited number of these tools are developed for people with mental illness, and they differ in the extent to which they capture clinical, psychosocial, economic, and environmental domains. Guided by the PRISMA Extension for Scoping Reviews, this review evaluates the tools best suited for different mental health settings. The search found 5345 articles published until November 2023 and screened 14 qualified papers and corresponding tools. For each of these, detailed data on their use of psychiatric diagnostic categories, definition of complexity, primary aim and purpose, context of use and settings for their validation, best target populations, historical references, extent of biopsychosocial information inclusion, database and input technology required, and performance assessments were extracted, analyzed, and presented for comparisons. Two tools-the INTERMED, a clinician-scored and multiple healthcare data-sourced tool, and the VCAT, a computer-based instrument that utilizes healthcare databases to generate a comprehensive picture of complexity-are exemplary among the tools reviewed. Information on these limited but suitable tools related to their unique characteristics and utilities, and specialized recommendations for their use in mental health settings could contribute to improved patient care.

Complexity of patients with or without infectious disease consultation in tertiary-care hospitals in Germany

PURPOSE

Patients seen by infectious disease (ID) specialists are more complex compared to patients treated by other subspecialities according to Tonelli et al. (2018). However, larger studies on the complexity of patients related to the involvement of ID consultation services are missing.

METHODS

Data of patients being treated in 2015 and 2019 in four different German university hospitals was retrospectively collected. Data were collected from the hospitals' software system and included whether the patients received an ID consultation as well as patient clinical complexity level (PCCL), case mix index (CMI) and length of stay (LOS) as a measurement for the patients' complexity. Furthermore, a comparison of patients with distinct infectious diseases treated with or without an ID consultation was initiated.

RESULTS

In total, 215.915 patients were included in the study, 3% (n = 6311) of those were seen by an ID consultant. Patients receiving ID consultations had a significantly (p < 0.05) higher PCCL (median 4 vs. 0), CMI (median 3,8 vs. 1,1) and deviation of the expected mean LOS (median 7 days vs. 0 days) than patients in the control group. No differences among hospitals or between years were observed. Comparing patients with distinct infectious diseases treated with or without an ID consultation, the differences were confirmed throughout the groups.

CONCLUSION

Patients receiving ID consultations are highly complex, frequently need further treatment after discharge and have a high economic impact. Thus, ID specialists should be clinically trained in a broad spectrum of diseases and treating these complex patients should be sufficiently remunerated.

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.

[Frailty phenotype and risk factor for disturbed sleep]

Regardless of the nature of its operationalization, frailty has significant negative consequences for the person concerned and the community. Even if a generally accepted definition of frailty is still missing, there is no doubt about the existence of this phenomenon. Pathophysiologically, a dysfunctional interaction between multiple complex systems is discussed. Therapeutic interventions show that frailty is a dynamic state that can be improved. The pathophysiological characteristics of frailty and sleep disturbances show numerous similarities. In addition, the risk of frailty is increased in individuals with sleep disturbances. As the majority of sleep disorders can usually be well treated, screening for sleep disorders should be integrated into a comprehensive concept of management of frailty.

Interprofessional Collaboration in Complex Patient Care Transition: A Qualitative Multi-Perspective Analysis

Healthcare professionals often feel challenged by complex patients and the associated care needs during care transition. Interprofessional collaboration (IPC) is considered an effective approach in such situations. However, a fragmented healthcare system can limit IPC. This study explored experiences of Swiss healthcare professionals regarding complex patient care transition and the potential of IPC. Professionals from nursing, medicine, psychology, physiotherapy, dietetics and nutrition, social service, occupational therapy, and speech therapy were included. A qualitative between-method triangulation design was applied, with two focus group discussions and ten individual interviews. The combination of different data-collection methods allowed us to explore complex patient care transition and to systematically add perspectives of healthcare professionals from different care settings. Three main themes were identified: (1) Participants described their vision of an ideal complex patient care transition, i.e., the status they would like to see implemented; (2) participants reported challenges in complex patient care transition as experienced today; and (3) participants suggested ways to improve complex patient care transition by IPC. This study highlighted that healthcare professionals regarded IPC as an effective intervention to improve complex patient care transition. It emerged that sustainable implementation of IPC across care organizations is currently limited in Switzerland. In the absence of strong and direct promotion of IPC by the healthcare system, professionals in clinical practice can further promote IPC by finding hands-on solutions to overcome organizational boundaries.

Clinical complexity and diabetes: a multidimensional approach for the management of cardiorenal metabolic syndrome

Diabetes mellitus (DM) is one of the fastest-growing health emergencies of the 21st century, and one of the chronic diseases with the highest socio-economic impact on health care systems. DM is the main cause of chronic kidney disease, and is associated with a significant increase in cardiovascular risk and clinical and care complexity. The presence of a constellation of cardiac, metabolic, and renal diseases, in a complex patient with DM, constitutes the CardioRenal Metabolic Syndrome (CRMS). The management of these patients should include a paradigm shift from a reactive strategy to a proactive approach, and the integration of territorial, hospital and social assistance services according to the Chronic Care Model (CCM). Complexity science suggests an alternative model in which disease and health arise from complex, dynamic, and unique interactions among the different components of the overall system. The hospital should be viewed as a highly specialized hub of the chronic care system, which interacts with the outpatient specialist and primary care. In order to create effective communication among territorial care units and highly specialized hospitals, levels of clinical complexity are here proposed and included in a multidimensional management model for the complex patient with diabetes and cardiorenal comorbidity.

Environmental health, COVID-19, and the syndemic: internal medicine facing the challenge

Internists are experts in complexity, and the COVID-19 pandemic is disclosing complex and unexpected interactions between communicable and non-communicable diseases, environmental factors, and socio-economic disparities. The medicine of complexity cannot be limited to facing comorbidities and to the clinical management of multifaceted diseases. Evidence indicates how climate change, pollution, demographic unbalance, and inequalities can affect the spreading and outcomes of COVID-19 in vulnerable communities. These elements cannot be neglected, and a wide view of public health aspects by a "one-health" approach is strongly and urgently recommended. According to World Health Organization, 35% of infectious diseases involving the lower respiratory tract depend on environmental factors, and infections from SARS-Cov-2 is not an exception. Furthermore, environmental pollution generates a large burden of non-communicable diseases and disabilities, increasing the individual vulnerability to COVID-19 and the chance for the resilience of large communities worldwide. In this field, the awareness of internists must increase, as privileged healthcare providers. They need to gain a comprehensive knowledge of elements characterizing COVID-19 as part of a syndemic. This is the case when pandemic events hit vulnerable populations suffering from the increasing burden of chronic diseases, disabilities, and social and economic inequalities. Mastering the interplay of such events requires a change in overall strategy, to adequately manage not only the SARS-CoV-2 infection but also the growing burden of non-communicable diseases by a "one health" approach. In this context, experts in internal medicine have the knowledge and skills to drive this change.

Perceived discharge quality and associations with hospital readmissions and emergency department use: a prospective cohort study

Background

At hospital discharge, care is handed over from providers to patients. Discharge encounters must prepare patients to self-manage their health, but have been found to be suboptimal. Our study objectives were to describe and determine the correlates of perceived discharge quality and to explore the association between perceived discharge quality and postdischarge outcomes.

Methods

We conducted a prospective cohort study in medical inpatients admitted to a tertiary care hospital in Calgary, Canada. Perceived discharge quality was measured by the Care Transitions Measure (CTM). Linkage to administrative databases provided data for the composite outcome—90-day hospital readmission or emergency department visit. Logistic regression modelling was used to determine the association between global CTM scores, and the individual CTM components, and the composite outcome.

Results

A total of 316 patients were included in the analysis. The median CTM score was 80.0 (IQR 66.6–100.0). The distribution of CTM scores were significantly different based on comorbidity burden, with the median and maximum CTM scores being lower and the IQR being narrower, for those with six or more comorbidities compared with those with fewer comorbidities. CTM scores were not associated with the composite outcome, though a single CTM item—not understanding warning signs and symptoms—was (adjusted OR 3.46 (95% CI 1.02 to 11.73)).

Conclusion

Perceived quality of discharge varies based on patient burden of comorbidities. While global perceived discharge quality was not associated with postdischarge outcomes, lack of patient understanding of warning symptoms was. Discharging healthcare teams should pay special attention to these priority patient groups and specific discharge process components.

Trends in Infectious Diseases: A Retrospective 5-Year Study

Background: Although hospital admission is frequently due to the exacerbation of chronic diseases, most often it is caused by an underlying infectious process. Patients often have several admissions per year, making them at risk for recurrent infections, increased morbidity, and the emergence of resistant strains of microorganisms. Methods: This is a retrospective, descriptive study of all patients with an infectious disease diagnosis, who were admitted to the medical ward of a tertiary hospital during a 5-year period. Information was collected from electronic medical files regarding gender, age, autonomy, comorbidities, primary diagnosis, in-hospital length of stay, and mortality as well as microbiological data surveillance. Results: A total of 355 patients fulfilled the inclusion criteria. Amongst the sample analysed, the average age was 78.10+12.47 years years. Of the patients, 57.2% (203) were female, with most patients considered as dependent according to Katz score. The average Charlson Comorbidity Index (CCI) score was 6.28+2.74, increasing with age. The main diagnostic categories were respiratory (191 patients: 137 with pneumonia and 49 with acute bronchitis) and urinary tract (138 patients: 69 with pyelonephritis and 66 with cystitis). Urinary tract infections were more frequent in females and in dependent patients. Only 37.8% of infections had a microbiologic isolate: Escherichia coli (28.4%), Pseudomonas aeruginosa (12.7%), and Klebsiella pneumoniae (8.2%). The overall mortality was 6.77%. Conclusions: The frequent in-hospital admission due to infectious diseases makes it imperative to characterise and follow-up on evolution of the disease itself in order to better know the characteristics of community-acquired diseases, establish routes of transmission and outbreak identification, microbiology patterns, and resistance towards further improving empiric therapy.

Definition of patient complexity in adults: A narrative review

Background

Better identification of complex patients could help to improve their care. However, the definition of patient complexity itself is far from obvious. We conducted a narrative review to identify, describe, and synthesize the definitions of patient complexity used in the last 25 years.

Methods

We searched PubMed for articles published in English between January 1995 and September 2020, defining patient complexity. We extended the search to the references of the included articles. We assessed the domains presented in the definitions, and classified the definitions as based on (1) medical aspects (e.g., number of conditions) or (2) medical and/or non-medical aspects (e.g., socio-economic status). We assessed whether the definition was based on a tool (e.g., index) or conceptual model.

Results

Among 83 articles, there was marked heterogeneity in the patient complexity definitions. Domains contributing to complexity included health, demographics, behavior, socio-economic factors, healthcare system, medical decision-making, and environment. Patient complexity was defined according to medical aspects in 30 (36.1%) articles, and to medical and/or non-medical aspects in 53 (63.9%) articles. A tool was used in 36 (43.4%) articles, and a conceptual model in seven (8.4%) articles.

Conclusion

A consensus concerning the definition of patient complexity was lacking. Most definitions incorporated non-medical factors in the definition, underlining the importance of accounting not only for medical but also for non-medical aspects, as well as for their interrelationship.

Clustering Inflammatory Markers with Sociodemographic and Clinical Characteristics of Patients with Diabetes Type 2 Can Support Family Physicians' Clinical Reasoning by Reducing Patients' Complexity

Diabetes mellitus type 2 (DM2) is a complex disease associated with chronic inflammation, end-organ damage, and multiple comorbidities. Initiatives are emerging for a more personalized approach in managing DM2 patients. We hypothesized that by clustering inflammatory markers with variables indicating the sociodemographic and clinical contexts of patients with DM2, we could gain insights into the hidden phenotypes and the underlying pathophysiological backgrounds thereof. We applied the k-means algorithm and a total of 30 variables in a group of 174 primary care (PC) patients with DM2 aged 50 years and above and of both genders. We included some emerging markers of inflammation, specifically, neutrophil-to-lymphocyte ratio (NLR) and the cytokines IL-17A and IL-37. Multiple regression models were used to assess associations of inflammatory markers with other variables. Overall, we observed that the cytokines were more variable than the marker NLR. The set of inflammatory markers was needed to indicate the capacity of patients in the clusters for inflammatory cell recruitment from the circulation to the tissues, and subsequently for the progression of end-organ damage and vascular complications. The hypothalamus–pituitary–thyroid hormonal axis, in addition to the cytokine IL-37, may have a suppressive, inflammation-regulatory role. These results can help PC physicians with their clinical reasoning by reducing the complexity of diabetic patients.

Characteristics and Service Utilization by Complex Chronic and Advanced Chronic Patients in Catalonia: A Retrospective Seven-Year Cohort-Based Study of an Implemented Chronic Care Program

The Chronic Care Program introduced in Catalonia in 2011 focuses on improving the identification and management of complex chronic (CCPs) and advanced chronic patients (ACPs) by implementing an individualized care model. Its first stage is their identification based on chronicity, difficult clinical management (i.e., complexity), and, in ACPs, limited life prognosis. Subsequent stages are individual evaluation and implementation of a shared personalized care plan. This retrospective study, including all CCPs and ACPs identified in Catalonia between 2013 and 2019, was aimed at describing the characteristics and healthcare service utilization among these patients. Data were obtained from an administrative database and included sociodemographic, clinical, and service utilization variables and morbidity-associated risk according to the Adjusted Morbidity Groups (GMA) stratification. During the study period, CCPs’ and ACPs’ prevalence increased and was higher in lower-income populations; most cases were women. CCPs and ACPs had all comorbidities at higher frequencies, higher utilization of healthcare services, and were more frequently at high risk (63% and 71%, respectively) than age-, sex-, and income level-adjusted non-CCP (23%) and non-ACP populations (30%). These results show effective identification of the program’s target population and demonstrate that CCPs and ACPs have a higher burden of multimorbidity and healthcare needs.

Defining Multimorbidity and Its Impact in Older United States Veterans Newly Treated for Multiple Myeloma

BACKGROUND

Traditional count-based measures of comorbidity are unlikely to capture the complexity of multiple chronic conditions (multimorbidity) in older adults with cancer. We aimed to define patterns of multimorbidity and their impact in older United States veterans with multiple myeloma (MM).

METHODS

We measured 66 chronic conditions in 5076 veterans aged 65 years and older newly treated for MM in the national Veterans Affairs health-care system from 2004 to 2017. Latent class analysis was used to identify patterns of multimorbidity among these conditions. These patterns were then assessed for their association with overall survival, our primary outcome. Secondary outcomes included emergency department visits and hospitalizations.

RESULTS

Five patterns of multimorbidity emerged from the latent class analysis, and survival varied across these patterns (log-rank 2-sided P < .001). Older veterans with cardiovascular and metabolic disease (30.9%, hazard ratio [HR] = 1.33, 95% confidence interval [CI] = 1.21 to 1.45), psychiatric and substance use disorders (9.7%, HR = 1.58, 95% CI = 1.39 to 1.79), chronic lung disease (15.9%, HR = 1.69, 95% CI = 1.53 to 1.87), and multisystem impairment (13.8%, HR = 2.25, 95% CI = 2.03 to 2.50) had higher mortality compared with veterans with minimal comorbidity (29.7%, reference). Associations with mortality were maintained after adjustment for sociodemographic variables, measures of disease risk, and the count-based Charlson Comorbidity Index. Multimorbidity patterns were also associated with emergency department visits and hospitalizations.

CONCLUSIONS

Our findings demonstrate the need to move beyond count-based measures of comorbidity and consider cancer in the context of multiple chronic conditions.

A comprehensive review on biomarkers associated with painful temporomandibular disorders

Pain of the orofacial region is the primary complaint for which patients seek treatment. Of all the orofacial pain conditions, one condition that possess a significant global health problem is temporomandibular disorder (TMD). Patients with TMD typically frequently complaints of pain as a symptom. TMD can occur due to complex interplay between peripheral and central sensitization, endogenous modulatory pathways, and cortical processing. For diagnosis of TMD pain a descriptive history, clinical assessment, and imaging is needed. However, due to the complex nature of pain an additional step is needed to render a definitive TMD diagnosis. In this review we explicate the role of different biomarkers involved in painful TMD. In painful TMD conditions, the role of biomarkers is still elusive. We believe that the identification of biomarkers associated with painful TMD may stimulate researchers and clinician to understand the mechanism underlying the pathogenesis of TMD and help them in developing newer methods for the diagnosis and management of TMD. Therefore, to understand the potential relationship of biomarkers, and painful TMD we categorize the biomarkers as molecular biomarkers, neuroimaging biomarkers and sensory biomarkers. In addition, we will briefly discuss pain genetics and the role of potential microRNA (miRNA) involved in TMD pain.

Triggering and protective factors of burnout in medical resident physicians in a lower-middle-income country: A cross-sectional study

Background

Residents and interns are prone to emotional and physical exhaustion, also known as burnout. Burnout has not been studied much in physicians working in lower-middle income countries. We conducted this study to determine the burden of burnout among internal medicine residents and to identify triggering and protective factors associated with burnout.

Materials and methods

A cross-sectional study was conducted at two institutes in Karachi from 2018 to 2019. All residents registered in the internal medicine program for at least 6 months were invited to participate via an online survey. An abbreviated version of the Maslach Burnout scale was used to measure burnout, and protective and triggering factors were recorded according to known factors.

Results

A total of 71 out of 92 (77%) residents participated. The mean (SD) age of the participants was 28 (3.1) years, 51 (71.8%) were females and 51 (71.8%) were junior residents. A total of 33 (46.5%) residents had burnout. Burnout and emotional exhaustion were more in female residents (p < 0.05). None of the triggering factors attained statistical significance. The protective factors for burnout which showed significant association were good relationship with friends (OR 0.1–95% CI 0.0, 0.6), exercise and extra-curricular activities (OR 0.2–95% CI 0.0, 0.7), celebrating accomplishments (OR 0.2–95% CI 0.0, 0.7), having enough money (OR 0.2–95% CI 0.0, 0.4), and ability to plan for future (OR 0.1–95% CI 0.0, 0.6).

Conclusion

More than a third of medicine residents suffered from burnout. We need to focus on rejuvenating activities for medicine residents to decrease burnout among them. If not addressed adequately this may result in a compromise in the quality of care being provided to patients.

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More than a third of medicine residents suffered from burnout in our setup.

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We need to focus on rejuvenating activities to decrease burnout.

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Support of friends, celebrating accomplishment and enough money may reduce burnout.

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Burnout was more prevalent in women physicians compared to men physicians

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Level 2 physicians had higher burnout compared to the other levels of residency

Clinical Case Complexity in Occupational Health: Contributing Factors and a Proposed Conceptual Framework Model

OBJECTIVES

Clinical case complexity is an inherent factor in occupational health (OH), yet it is poorly defined and understood. Our aim was to identify the multiple sources of complexity in OH and propose a conceptual complexity framework model for clinical OH practice.

METHODS

Through a scoping review, expert panel consensus, and content analysis of OH clinical case reports, we identified relevant complexity-contributing factors (CCFs) specifically tailored to the OH setting, which we defined and validated.

RESULTS

The proposed model consists of three primary domains (PDs); health factors, workplace factors and biopsychosocial factors. Twenty-seven CCFs are described and defined within these PDs.

CONCLUSIONS

This work lays the foundation for improved understanding, identification, and assessment of complexity in OH. This is imperative for ensuring high quality clinical practice standards, identifying training needs and appropriate triaging/resource allocation.

Integrating clinical and public health knowledge in support of joint medical practice

BACKGROUND

Strong relations between medicine and public health have long been advocated. Today, professional medical practice assumes joint clinical/public health objectives: GPs are expected to practice community medicine; Hospital specialists can be involved in disease control and health service organisation; Doctors can teach, coach, evaluate, and coordinate care; Clinicians should interpret protocols with reference to clinical epidemiology. Public health physicians should tailor preventive medicine to individual health risks. This paper is targeted at those practitioners and academics responsible for their teams' professionalism and the accessibility of care, where the authors argue in favour of the epistemological integration of clinical medicine and public health.

MAIN TEXT

Based on empirical evidence the authors revisit the epistemological border of clinical and public health knowledge to support joint practice. From action-research and cognitive psychology, we derive clinical/public health knowledge categories that require different transmission and discovery techniques. The knowledge needed to support the universal human right to access professional care bridges both clinical and public health concepts, and summons professional ethics to validate medical decisions. To provide a rational framework for teaching and research, we propose the following categories: 'Know-how/practice techniques', corresponding a.o. to behavioural, communication, and manual skills; 'Procedural knowledge' to choose and apply procedures that meet explicit quality criteria; 'Practical knowledge' to design new procedures and inform the design of established procedures in new contexts; and Theoretical knowledge teaches the reasoning and theory of knowledge and the laws of existence and functioning of reality to validate clinical and public health procedures. Even though medical interventions benefit from science, they are, in essence, professional: science cannot standardise eco-biopsychosocial decisions; doctor-patient negotiations; emotional intelligence; manual and behavioural skills; and resolution of ethical conflicts.

CONCLUSION

Because the quality of care utilises the professionals' skill-base but is also affected by their intangible motivations, health systems should individually tailor continuing medical education and treat collective knowledge management as a priority. Teamwork and coaching by those with more experience provide such opportunities. In the future, physicians and health professionals could jointly develop clinical/public health integrated knowledge. To this end, governments should make provision to finance non-clinical activities.

Assessing Complexity Among Patients With Tuberculosis in California, 1993-2016

Background

Although the number of patients with active tuberculosis (TB) has decreased in the last 25 years, anecdotal reports suggest that the complexity of these patients has increased. However, this complexity and its components have never been quantified or defined. We therefore aimed to describe the complexity of patients with active TB in California during 1993–2016.

Methods

We analyzed data on patient comorbidities, clinical features, and demographics from the California Department of Public Health TB Registry. All adult patients who were alive at the time of TB diagnosis in California during 1993–2016 were included in the analyses. Factors deemed by an expert panel to increase complexity (ie, increased resources or expertise requirement for successful management) were analyzed and included the following: age >75 years, HIV infection, multidrug resistance (MDR), and extrapulmonary TB disease. Second, using additional information on other comorbidities available starting in 2010, we performed exploratory factor analysis on 25 variables in order to define the dimensions of complexity.

Results

Among the 67512 patients analyzed, the proportion of patients with extrapulmonary disease, age >75 years, or MDR-TB each increased over the study period (P < .001), while the proportion of patients with HIV decreased. Furthermore, the proportion of patients with at least 1 factor of those increased, rising from 38.8% to 45.3% (P < .001) from 1993 to 2016. Dimensions of complexity identified in the exploratory factor analysis included the following: race/immigration, social features, elderly/institutionalized, advanced TB, comorbidity, and drug resistance risk.

Conclusions

In this first description of complexity in the setting of TB, we found that the complexity of patients with active TB has risen over the last 25 years in California. These findings suggest that despite the overall decline in active TB cases, effective management of more complex patients may require additional attention and resource investment.

[Complexity in nursing practice : Toward a new conceptual framework in nursing care]

While complexity theory has gradually influenced the field of health and social sciences, it has also had an impact on nursing care by introducing a wealth of terminology into the field. The terms “complex patient,” “complex case,” “complex care,” “complex practice,” and “complex needs” have been proposed to describe different aspects of complexity in nursing care. As these qualifiers reflect, nurses become actors in multidefined care and must integrate complexity into their reflective practice. By way of a narrative literature review, this article aims to offer a new perspective on nursing by explaining the different terms used in the discipline, using a multi-level approach. At the end of this review, the authors propose a new integrative conceptual framework for complexity in nursing practice.

Comorbidity does not mean clinical complexity: evidence from the RePoSI register

In the last 2-3 decades internists have confronted dramatic changes in the pattern of patients acutely admitted to hospital wards. Internists observed a shift from younger subjects affected by a single organ disease to more complex patients, usually older, with multiple chronic conditions, attended by different specialists, with poor integration and treated with multiple drugs. In this regard, the concept of complex patients is addressed daily in clinical practice even if there is no agreed definition of patient complexity. To try to evaluate clinical complexity different instruments have been proposed. Among these, the number of comorbidities (NoC) was considered a marker of clinical complexity. However, this instrument would not give information about the clinical relevance of each condition. On the contrary, cumulative illness rating scale (CIRS) addresses the problem calculating both CIRS severity index (CIRS-SI) and CIRS comorbidity index (CIRS-CI). In light of this, 4714 patients from the RePoSI register were retrospectively analyzed to show if CIRS assessment of comorbidity burden is different from the simple count of comorbidities in predicting the length of hospital stay (LOS) and all-cause of mortality in hospitalized elderly patients and if NoC could be a valid tool to measure patient's complexity. CIRS-SI resulted the best predictor of all-cause in-hospital mortality [OR: 2.66 (1.88-3.77)] in comparison with NoC that did not result statistically significant (p = 0.551). CIRS-SI was also the best predictor of all-cause of post-discharge mortality corrected for age and sex [OR: 2.12 (1.53-2.95)]. CIRS-SI (coefficient ± standard error: 1.23 ± 0.59; p < 0.0381) and CIRS-CI (coefficient ± standard error: 0.27 ± 0.10; p < 0.011) were strong predictors of LOS in comparison with NoC that did not result statistically significant (coefficient ± standard error: 0.04 ± 0.06 p < 0.0561). In conclusion, CIRS assessment of comorbidity burden is a better clinical tool in comparison with the simple count of comorbidities especially considering the length of hospital stay and all-cause mortality in hospitalized elderly patients.

Epidemiology of pain and relation to psychiatric disorders

Chronic pain is a common pain condition. Some psychiatric disorders, such as anxiety and depression, are also common in the general population. Epidemiological studies found that some psychiatric disorders are more commonly found among persons with chronic pain (e.g., headache, back pain) than those without chronic pain. Why those psychiatric disorders co-occur with chronic pain, however, is not well understood. Further, studies demonstrated that some psychiatric disorders, such as depression, increase the risk of chronic pain as well as its persistence. It is also recognized that chronic pain has a negative impact on the persistence of psychiatric disorders. The observations from clinical studies suggest that chronic pain is not a common comorbidity among individuals with other psychiatric disorders, such as dementia and schizophrenia. It is not clear if this is a consequence of any specific biological mechanism, or methodology problems in the studies. This paper provides an overview on the distribution of chronic pain and psychiatric disorders, followed by a review of studies that have demonstrated the association between psychiatric disorders and chronic pain.

Psychometric properties and parental reported utility of the 19-item 'About My Child' (AMC-19) measure

Background

‘About My Child’ 19-item version (AMC-19) is a parent-report measure developed to assess the complexity of a child’s life due to biological, psychological, social and environmental issues, that can be completed in approximately 5 min. AMC measures two dimensions of complexity: parental concerns and impact on the child. This paper examines the psychometric properties and parent-reported utility of the AMC-19 for children with disabilities or special health care needs.

Method

Data were gathered from two Canadian studies at CanChild: the ‘AMC-19 Pilot’ study and the ‘Service Utilization and Outcomes (SUO)’ study. The AMC-19 Pilot study data allowed us to explore internal consistency and test-retest reliability, as well as parental responses to two open-ended questions on the utility of the AMC-19. The SUO study provided data for analyses of internal consistency and scale property validation with type of diagnosis and service needs.

Results

The test-retest ICC was r = 0.83 for concerns and r = 0.87 for impact. Cronbach’s alpha across both studies ranged from 0.80 to 0.90. Parents’ comments on the AMC-19’s utility indicated support for the AMC-19, in particular to identify therapy needs and goals.

Conclusions

The AMC-19 demonstrates strong psychometric properties supporting it as a valuable measure for describing the level of complexity among children with disabilities. We recommend using the AMC-19 in health services research and clinical settings to build dialogue between family and therapists due to its utility reported by parents.

Complex Care Needs in Multiple Chronic Conditions: Population Prevalence and Characterization in Primary Care. A Study Protocol

Background:

Chronicity, and particularly complex care needs for people with chronic diseases is one of the main challenges of health systems.

Objective:

To determine the population prevalence of people with chronic diseases and complex care needs and to characterize these needs considering features of health and social complexity in Primary Care.

Design:

Cross-sectional population-based study.

Scope:

Patients who have one or more chronic health conditions from three Primary Care urban centres of a reference population of 43.647 inhabitants older than 14 years old.

Methodology:

Data will be obtained from the review of electronical medical records. Complexity will be defined by: 1) the independent clinical judgment of primary care physicians and nurses and 2) the aid of three complexity domains (clinical and social). Patients with advanced chronic disease and limited life prognosis will be also described.

Conclusions:

This research protocol intends to describe and analyse complex care needs from a primary care professional perspective in order to improve knowledge of complexity beyond multimorbidity and previous consumption of health resources. Knowing about health and social complexity with a more robust empirical basis could help for a better integration of social and health policies and a more proactive and differentiated care approach in this most vulnerable population.

The complexity of patients hospitalized in Internal Medicine wards evaluated by FADOI-COMPLIMED score(s). A hypothetical approach

Objectives

The aim of this study is to develop a new predictive model to measure complexity of patients in medical wards.

Setting

29 Internal Medicine departments in Italy.

Materials and methods

The study cohort was made of 541 consecutive patients hospitalized for any cause, aged more than 40 years and with at least two chronic diseases. First, we applied a hierarchical cluster analysis and the principal component analysis (PCA) to a panel of questionnaires [comorbidity (Charlson, CIRS), clinical stability (MEWS), social frailty (Flugelman), cognitive dysfunction (SPSMQ), depression (5-item GDS), functional dependence (ADL, IADL, Barthel), risk of sore threats (Exton-Smith scale), nutrition (MNA), pain (NRPS), adherence to therapy (Morisky scale)], in order to select domains informative for the definition of complexity. The following step was to create the score(s) needed to quantify it.

Results

Two main clusters were identified: the first includes 7 questionnaires whose common denominator is dependence and frailty, the second consists of 3 questionnaires representative of comorbidity. Globally, they account for about 70% of the total variance (55.2% and 13.8%, respectively). The first principal component was simplified in “Complimed Score 1” (CS1) as a recalibrated average between the Barthel Index and the Exton Smith score, whereas the second cluster was approximated to “Complimed Score 2” (CS2), by using the Charlson score only.

Conclusions

Complexity is a two-dimensional clinical phenomenon. The FADOI-Complimed Score(s) is a new tool useful for the routine evaluation of complexity in medical patients, simple to use and taking around 10 minutes to complete.

Complexity in internal medicine wards: A novel screening method and implications for management

RATIONALE

Complexity is increasingly recognized as a critical variable in health care. However, there is still lack of practical tools to assess it and tackle the challenges that stem from it, particularly within hospitals.

AIMS AND OBJECTIVE

To validate a simple novel screening method based on both objective and subjective criteria to identify patients with clinically complex hospitalization events. To evaluate the prevalence of patients with complex events, identify their features, and compare them with those of the other patients and to those of patients with multimorbidities.

METHOD

We monitored the level of complexity of the hospitalization events of 240 patients admitted to an internal medicine ward in Tuscany over the course of 56 days. We compared the demographic features, the length of stay, and the prognosis of patients with and without complex events.

RESULTS

Sixty-nine patients (28.8% of the sample) had a complex episode during their stay, and 115 (47.9%) had phases of low complexity. Patients with complex episodes were younger and more comorbid than patients without. They stayed longer in-hospital (+4.5 days; 95% CI: 2.5-6.5) and had higher mortality (OR: 24.93; 95% CI: 6.97-171.63) and a lower probability of home discharge (OR: 0.25; 95% CI: 0.13-0.48).

CONCLUSIONS

The results show that using a simple screening method is possible to identify complex patients within IM wards and that every day, about one-third of the patients are complex. The results are discussed in implications for the dynamic management of patients with complex and simple phases during hospitalization.

BRASS score and complex discharge: a pilot study

Aims:

A highly functional continuity of patient care, which is linked to the reduction of the risk of long-term hospitalization, above all for ‘at-risk’ patients. Research into an objective, reliable instrument for redirecting individual results to organizational aims to extend the entire country, is a fundamental step to move from a reactive assistance approach to a pro-active one.

Methods:

An observational and descriptive retrospective study was carried out July - November 2014 in two Italian state hospitals, completing the BRASS Index within 48/72 hours of admission.

Results:

The study group consisted of 122 inpatients. A correlation presented itself, albeit low (ρ=0.05191), between age and the number of ‘revolving door’ admissions; a medium correlation (ρ=0.485131) between age and risk band (according to BRASS).

Conclusions:

The BRASS Index is straightforward and swift, and can prove a valuable tool in directing nurses’ attention to those patients most at risk of prolonged hospitalization. (www.actabiomedica.it)

[Patient-centred prescription model to improve adequate prescription and therapeutic adherence in patients with multiple disorders]

Patients with multiple disorders and on multiple medication are often associated with clinical complexity, defined as a situation of uncertainty conditioned by difficulties in establishing a situational diagnosis and decision-making. The patient-centred care approach in this population group seems to be one of the best therapeutic options. In this context, the preparation of an individualised therapeutic plan is the most relevant practical element, where the pharmacological plan maintains an important role. There has recently been a significant increase in knowledge in the area of adequacy of prescription and adherence. In this context, we must find a model must be found that incorporates this knowledge into clinical practice by the professionals. Person-centred prescription is a medication review model that includes different strategies in a single intervention. It is performed by a multidisciplinary team, and allows them to adapt the pharmacological plan of patients with clinical complexity.

Predictive model of complexity in early palliative care: a cohort of advanced cancer patients (PALCOM study)

PROPOSAL

Model of early palliative care (PC) integrated in oncology is based on shared care from the diagnosis to the end of life and is mainly focused on patients with greater complexity. However, there is no definition or tools to evaluate PC complexity. The objectives of the study were to identify the factors influencing level determination of complexity, propose predictive models, and build a complexity scale of PC.

PATIENTS AND METHOD

We performed a prospective, observational, multicenter study in a cohort of advanced cancer patients with an estimated prognosis ≤ 6 months. An ad hoc structured evaluation including socio-demographic and clinical data, symptom burden, functional and cognitive status, psychosocial problems, and existential-ethic dilemmas was recorded systematically. According to this multidimensional evaluation, investigator classified patients as high, medium, or low palliative complexity, associated to need of basic or specialized PC. Logistic regression was used to identify the variables influencing determination of level of PC complexity and explore predictive models.

RESULTS

We included 324 patients; 41% were classified as having high PC complexity and 42.9% as medium, both levels being associated with specialized PC. Variables influencing determination of PC complexity were as follows: high symptom burden (OR 3.19 95%CI: 1.72-6.17), difficult pain (OR 2.81 95%CI:1.64-4.9), functional status (OR 0.99 95%CI:0.98-0.9), and social-ethical existential risk factors (OR 3.11 95%CI:1.73-5.77). Logistic analysis of variables allowed construct a complexity model and structured scales (PALCOM 1 and 2) with high predictive value (AUC ROC 76%).

CONCLUSION

This study provides a new model and tools to assess complexity in palliative care, which may be very useful to manage referral to specialized PC services, and agree intensity of their intervention in a model of early-shared care integrated in oncology.

Identifying High-Cost, High-Risk Patients Using Administrative Databases in Tuscany, Italy

Objective

(1) Assessing the performance of the algorithm in terms of sensitivity and positive predictive value, considering General Practitioners' (GPs) judgement as benchmark, and (2) describing adverse events (hospitalisation, death, and health services' consumption) of complex patients compared to the general population.

Data Sources

(i) Tuscany administrative database containing health data (2013-5); (ii) lists of complex patients indicated by GPs; and (iii) annual health registry of Tuscany.

Study Design

The present study is a validation study. It compares a list of complex patients extracted through an administrative algorithm (criteria of high health consumption) to a gold standard list of patients indicated by GPs. GPs' decision was subjective but fairly well reasoned. The study compares also adverse outcomes (Emergency Room visits, hospitalisation, and death) between identified complex patients and general population.

Principal Findings

Considering GPs' judgement, the algorithm showed a sensitivity of 72.8% and a positive predictive value of 64.4%. The complex cases presented here have higher incidence rates/100,000 (death 46.8; ER visits 223.2, hospitalisations 110.87, laboratory tests 1284.01, and specialist examinations 870.37) compared to the general population.

Conclusions

The final validated algorithm showed acceptable sensitivity and positive predictive value.

It's not just what you know: junior trainees' approach to follow-up and documentation

CONTEXT

In teaching hospitals, junior trainees (first-year residents and third-year medical students) are responsible for patient follow-up and documentation under the supervision of senior team members. In order to support trainees in their role, supervisors need to understand how trainees approach these tasks and how they can be coached to develop best practices.

OBJECTIVES

The purpose of our study was to explore the range of practices used by junior trainees in clinical settings.

METHODS

Constructivist grounded theory was used to guide the collection and analysis of data on follow-up and documentation during 34 observation periods with 17 junior trainees. Data sources included field notes, field interviews and de-identified copies of patient charts. We also held two focus groups with four attending physicians in each.

RESULTS

We were able to describe three interrelated characteristics that influenced a trainee's approach to and ability to perform the tasks of patient follow-up and documentation: (i) diligence; (ii) relationship to the team (dependent, independent, collaborative), and (iii) level of performance (Data Gatherer, Sensemaker, Manager). Diligence and relationship to the team appeared to influence the quality and focus of a trainee's approach at all levels of performance. Level of performance was felt, by focus group attending physicians, to reflect a developmental progression of knowledge and skills.

CONCLUSIONS

Our findings contribute to the existing literature in three ways. Firstly, they extend our understanding of how junior trainees approach the task of in-patient follow-up and clinical documentation and the value of those activities. Secondly, they provide new insights to support formative and summative assessment. Finally, they contribute to a growing body of literature exploring the factors that impact trainees' roles and interactions with the team. Future research should focus on validating our findings and exploring their utility in the development of novel assessment strategies.

What physicians reason about during admission case review

Research suggests that physicians perform multiple reasoning tasks beyond diagnosis during patient review. However, these remain largely theoretical. The purpose of this study was to explore reasoning tasks in clinical practice during patient admission review. The authors used a constant comparative approach-an iterative and inductive process of coding and recoding-to analyze transcripts from 38 audio-recorded case reviews between junior trainees and their senior residents or attendings. Using a previous list of reasoning tasks, analysis focused on what tasks were performed, when they occurred, and how they related to the other tasks. All 24 tasks were observed in at least one review with a mean of 17.9 (Min = 15, Max = 22) distinct tasks per review. Two new tasks-assess illness severity and patient decision-making capacity-were identified, thus 26 tasks were examined. Three overarching tasks were identified-assess priorities, determine and refine the most likely diagnosis and establish and refine management plans-that occurred throughout all stages of the case review starting from patient identification and continuing through to assessment and plan. A fourth possible overarching task-reflection-was also identified but only observed in four instances across three cases. The other 22 tasks appeared to be context dependent serving to support, expand, and refine one or more overarching tasks. Tasks were non-sequential and the same supporting task could serve more than one overarching task. The authors conclude that these findings provide insight into the 'what' and 'when' of physician reasoning during case review that can be used to support professional development, clinical training and patient care. In particular, they draw attention to the iterative way in which each task is addressed during a case review and how this finding may challenge conventional ways of teaching and assessing clinical communication and reasoning. They also suggest that further research is needed to explore how physicians decide why a supporting task is required in a particular context.

ANMCO/ISS/AMD/ANCE/ARCA/FADOI/GICR-IACPR/SICI-GISE/SIBioC/SIC/SICOA/SID/SIF/SIMEU/SIMG/SIMI/SISA Joint Consensus Document on cholesterol and cardiovascular risk: diagnostic-therapeutic pathway in Italy

Atherosclerotic cardiovascular disease still represents the leading cause of death in Western countries. A wealth of scientific evidence demonstrates that increased blood cholesterol levels have a major impact on the outbreak and progression of atherosclerotic plaques. Moreover, several cholesterol-lowering pharmacological agents, including statins and ezetimibe, have proved effective in improving clinical outcomes. This document focuses on the clinical management of hypercholesterolaemia and has been conceived by 16 Italian medical associations with the support of the Italian National Institute of Health. The authors discuss in detail the role of hypercholesterolaemia in the genesis of atherosclerotic cardiovascular disease. In addition, the implications for high cholesterol levels in the definition of the individual cardiovascular risk profile have been carefully analysed, while all available therapeutic options for blood cholesterol reduction and cardiovascular risk mitigation have been explored. Finally, this document outlines the diagnostic and therapeutic pathways for the clinical management of patients with hypercholesterolaemia.

The complex patient: A concept clarification

Over the last decade, the concept of the "complex patient" has not only been more widely used in multidisciplinary healthcare teams and across various healthcare disciplines, but it has also become more vacuous in meaning. The uptake of the concept of the "complex patient" spans across disciplines, such as medicine, nursing, and social work, with no consistent definition. We review the chronological evolution of this concept and its surrogate terms, namely "comorbidity," "multimorbidity," "polypathology," "dual diagnosis," and "multiple chronic conditions." Drawing on key principles of concept clarification, we highlight disciplinary usage in the literature published between 2005 and 2015 in health sciences, attending to overlaps and revealing nuances of the complex patient concept. Finally, we discuss the implications of this concept for practice, research, and theory.

Cumulative burden of comorbid mental disorders, substance use disorders, chronic medical conditions, and poverty on health among adults in the U.S.A

The health of individuals in the U.S.A. is increasingly being defined by complexity and multimorbidity. We examined the patterns of co-occurrence of mental illness, substance abuse/dependence, and chronic medical conditions and the cumulative burden of these conditions and living in poverty on self-rated health. We conducted a secondary data analysis using publically-available data from the National Survey on Drug Use and Health (NSDUH), which is an annual nationally-representative survey. Pooled data from the 2010-2012 NSDUH surveys included 115,921 adults 18 years of age or older. The majority of adults (52.2%) had at least one type of condition (mental illness, substance abuse/dependence, or chronic medical conditions), with substantial overlap across the conditions. 1.2%, or 2.2 million people, reported all three conditions. Generally, as the number of conditions increased, the odds of reporting worse health also increased. The likelihood of reporting fair/poor health was greatest for people who reported AMI, chronic medical conditions, and poverty (AOR = 9.41; 95% CI: 7.53-11.76), followed by all three conditions and poverty (AOR = 9.32; 95% CI: 6.67-13.02). For each combination of conditions, the addition of poverty increased the likelihood of reporting fair/poor health. Traditional conceptualizations of multimorbidity should be expanded to take into account the complexities of co-occurrence between mental illnesses, chronic medical conditions, and socioeconomic factors.

Patterns of community follow-up, subsequent health service use and survival among young and mid-life adults discharged from chronic care hospitals: a retrospective cohort study

BACKGROUND

Despite the demand for rehabilitation and chronic care services across the life course, policy and care strategies tend to focus on older adults and overlook medically complex younger adult populations. This study examined young and mid-life adults discharged from tertiary chronic care hospitals in order to describe their health service use and to examine the association between patterns of timely community follow-up, and subsequent health outcomes.

METHODS

This population-based retrospective cohort study used linked administrative data to identify 1,906 individuals aged 18-64 years and discharged alive from tertiary chronic care hospitals in Ontario, Canada between April 1, 2005 and March 31, 2006. Multivariate Cox proportional hazard models were used to examine the effect of community follow-up within 7 days of discharge (home care and/or a primary care physician visit or neither) on time to first hospitalization and emergency department (ED) visit. Five-year survival was examined using Kaplan-Meier survival curves.

RESULTS

The cohort had a high prevalence of multi-morbidity and use of hospital, emergency services and physician services was high in the year following discharge. Most individuals received follow-up care from a primary care physician and/or home care within 7 days of discharge while 30 % received neither. Within 1 year of discharge, 18 % of individuals died. Among those who survived, time to acute care hospitalization in the year following discharge was significantly longer among those who received both a home care and a physician follow-up visit compared to those who received neither. No significant associations were found between community follow-up and ED visits within 1 year.

CONCLUSIONS

Immediate community follow-up may reduce subsequent use of acute care services. Future research should determine why some individuals, who would likely benefit from services, are not receiving them including barriers to access.

Multimorbidity: conceptual basis, epidemiological models and measurement challenges

The growing number of patients with complex clinical profiles related to chronic diseases has contributed to the increasingly widespread use of the term 'multimorbidity'. A suitable measurement of this condition is essential to epidemiological studies considering that it represents a challenge for the clinical management of patients as well as for health systems and epidemiological investigations. In this context, the present essay reviews the conceptual proposals behind the measurement of multimorbidity including the epidemiological and methodological challenges it involves. We discuss classical definitions of comorbidity, how they differ from the concept of multimorbidity, and their roles in epidemiological studies. The various conceptual models that contribute to the operational definitions and strategies to measure this variable are also presented. The discussion enabled us to identify a significant gap between the modern conceptual development of multimorbidity and the operational definitions. This gap exists despite the theoretical developments that have occurred in the classical concept of comorbidity to arrive to the modern and multidimensional conception of multimorbidty. Measurement strategies, however, have not kept pace with this advance. Therefore, new methodological proposals need to be developed in order to obtain information regarding the actual impact on individuals' health and its implications for public health.

The complexity of bipolar and borderline personality: an expression of 'emotional frailty'?

PURPOSE OF REVIEW

The purpose of this article is to review recent findings regarding the comorbidity of bipolar disorder with borderline personality disorder (BPD). The conceptualization of the comorbid condition is explored in the context of complexity theory.

RECENT FINDINGS

Recent studies highlight distinguishing features between the two disorders. The course of illness of the comorbid condition is generally considered to be more debilitating than bipolar disorder alone.

SUMMARY

Some of the differentiating features of bipolar disorder and BPD are highlighted. It is also crucial to consider a co-morbid diagnosis as worse outcomes may be anticipated than for bipolar disorder alone. The concept of 'emotional frailty' is introduced and the comorbid bipolar disorder-BPD condition is considered an expression of this syndrome.

Gifted students with a coexisting disability: The twice exceptional

The twice exceptional are students who have both high ability and a disability or disorder. The ability can be in any culturally-valued domain, including high intelligence, academics, the visual or performing arts, and athletics. The co-existing disability can be physical, medical, or psychological. There is a growing literature of scholarly opinion about twice exceptionality; however, there are few well-designed empirical investigations of gifted students with anxiety, depression, bipolar disorder, attention-deficit/hyperactivity disorder, eating disorders, conduct problems, or medical, physical or sensory disabilities. This article examines a few key issues about the twice exceptional student and then discusses what we know about the gifted students with attention-deficit hyperactivity disorder and gifted students with learning disabilities. The article also provides a brief discussion on suicide and the gifted student.

Appointment "no-shows" are an independent predictor of subsequent quality of care and resource utilization outcomes

BACKGROUND

Identifying individuals at high risk for suboptimal outcomes is an important goal of healthcare delivery systems. Appointment no-shows may be an important risk predictor.

OBJECTIVES

To test the hypothesis that patients with a high propensity to "no-show" for appointments will have worse clinical and acute care utilization outcomes compared to patients with a lower propensity.

DESIGN

We calculated the no-show propensity factor (NSPF) for patients of a large academic primary care network using 5 years of outpatient appointment data. NSPF corrects for patients with fewer appointments to avoid over-weighting of no-show visits in such patients. We divided patients into three NSPF risk groups and evaluated the association between NSPF and clinical and acute care utilization outcomes after adjusting for baseline patient characteristics.

PARTICIPANTS

A total of 140,947 patients who visited a network practice from January 1, 2007, through December 31, 2009, and were either connected to a primary care physician or to a primary care practice, based on a previously validated algorithm.

MAIN MEASURES

Outcomes of interest were incomplete colorectal, cervical, and breast cancer screening, and above-goal hemoglobin A1c (HbA1c) and low-density lipoprotein (LDL) levels at 1-year follow-up, and hospitalizations and emergency department visits in the subsequent 3 years.

KEY RESULTS

Compared to patients in the low NSPF group, patients in the high NSPF group (n=14,081) were significantly more likely to have incomplete preventive cancer screening (aOR 2.41 [2.19-.66] for colorectal, aOR 1.85 [1.65-.08] for cervical, aOR 2.93 [2.62-3.28] for breast cancer), above-goal chronic disease control measures (aOR 2.64 [2.22-3.14] for HbA1c, aOR 1.39 [1.15-1.67] for LDL], and increased rates of acute care utilization (aRR 1.37 [1.31-1.44] for hospitalization, aRR 1.39 [1.35-1.43] for emergency department visits).

CONCLUSIONS

NSPF is an independent predictor of suboptimal primary care outcomes and acute care utilization. NSPF may play an important role in helping healthcare systems identify high-risk patients.

High-sensitivity C-reactive protein is an independent risk factor for non-vertebral fractures in women and men: The Tromsø Study

Low-grade inflammation is associated with fractures, while the relationship between inflammation and bone mineral density (BMD) is less clear. Moreover, any gender differences in the sensitivity to inflammation are still poorly elucidated. We therefore tested the hypothesis that high-sensitivity C-reactive protein (CRP) is an independent risk factor for low BMD and non-vertebral fractures, in both genders, and whether there are gender differences in these associations. CRP levels and BMD at the total hip and femoral neck were measured in 1902 women and 1648 men between 55 and 74 years of age, at baseline in the Tromsø Study, Norway, in 2001-2002. Non-vertebral fractures were registered from hospital X-ray archives during an average of 7.2 years follow-up. Linear regression analyses were used for CRP association with BMD and Cox proportional hazards model for fracture prediction by CRP. During 25 595 person-years follow-up, 366 (19%) women and 126 (8%) men suffered a non-vertebral fracture. There was no association between CRP and BMD in women, but an inverse association in men (p=0.001) after adjustment for age and body mass index. Each standard deviation (SD) increase in log-CRP was associated with an increased risk for non-vertebral fracture by 13% in women and 22% in men (hazard ratios (HRs) 1.13, 95% confidence interval (CI) 1.02-1.26, p=0.026 and 1.22, 95% CI=1.00-1.48, p=0.046, respectively). After adjustment for BMD and other risk factors, women with CRP in the upper tertile exhibited 39% higher risk for fracture than those in the lowest tertile of CRP (HR = 1.39, 95% CI = 1.06-1.83, p = 0.017), while men in the upper tertile exhibited 80% higher risk (HR=1.80, 95% CI=1.10-2.94, p=0.019). In summary, CRP was not associated with BMD in women but inversely associated in men, and predicted fractures in both genders. We infer that inflammation influence fracture risk in both women and men, although the biological mechanisms may differ between the genders.

Optimizing patient-centeredness in the transitions of healthcare systems in low- and middle-income countries

BACKGROUND

Patient-centeredness is necessary for quality of care. Wide-spread incorporation of patient-centered practices across the health system is challenging in low and middle income countries (LMICs) given the complexity of scarce resources, competing priorities and rapidly changing social, economic and political landscapes. Health service managers and policy makers in these settings would benefit from a framework that allows comprehension and anticipation of forthcoming challenges for optimizing patient-centeredness in healthcare delivery. We set out to formulate such a framework, based primarily on analysis of general patterns of healthcare system evolution in LMICs and the current literature.

DISCUSSION

We suggest that optimization of patient-centeredness in LMICs can be thought of as occurring in four phases, in accordance to particular patterns of macro transitions. Phase I is characterized by a deeply fragmented system based on conventional clinical approaches, dealing primarily with simple acute conditions. In phase II, the healthcare systems deal with increasing chronic cases and require redesign of existing acute-oriented services. In phase III, health services are increasingly confronted with multimorbid patients, requiring more coordinated and integrated care. Complex health care needs in individual patients are increasingly the norm in Phase IV, requiring the most optimal form of patient-centered care. This framework helps to identify and map the key challenges and implications for research, policy and practice, associated with the transitions ahead of time.

SUMMARY

We have developed a framework based on observed patterns of healthcare and related macro-transitions in LMICs. The framework provides insights into critical issues to be considered by health service managers and policy makers.

Acute admissions to medical departments in Denmark: diagnoses and patient characteristics

BACKGROUND

Despite extensive research on individual diseases, population-based knowledge about reasons for acute medical admissions remains limited. Our aim was to examine primary diagnoses, Charlson Comorbidity Index (CCI) score, age, and gender among patients admitted acutely to medical departments in Denmark.

METHODS

In this population-based observational study, 264,265 acute medical patients admitted during 2010 were identified in the Danish National Registry of Patients (DNRP), covering all hospitals in Denmark. Reasons for acute admissions were assessed by primary diagnoses, grouped according to the International Classification of Diseases 10th edition. Additionally, the CCI score, age and gender were presented according to each diagnostic group.

RESULTS

Two-thirds of the patients had one of the four following reasons for admission: cardiovascular diseases (19.3%), non-specific Z-diagnoses ("Factors influencing health status and contact with health services") (16.9%), infectious diseases (15.5%), and non-specific R-diagnoses ("Symptoms and abnormal findings, not elsewhere classified") (11.8%). In total, 45% of the patients had a CCI score of one or more and there was a considerable overlap between the patients' chronic diseases and the reason for admission. The median age of the study population was 64 years (IQR 47-77 years), ranging from 46 years (IQR 27-66) for injury and poisoning to 74 years (IQR 60-83) for hematological diseases. Gender representation varied considerably within the diagnostic groups, for example with male predominance in mental disorders (59.0%) and female predominance in diseases of the musculoskeletal system (57.8%).

CONCLUSION

Our study identifies that acute medical patients often present with non-specific symptoms or complications related to their chronic diseases.

Gender-differences in disease distribution and outcome in hospitalized elderly: data from the REPOSI study

BACKGROUND AND PURPOSE

Women live longer and outnumber men. On the other hand, older women develop more chronic diseases and conditions such as arthritis, osteoporosis and depression, leading to a greater number of years of living with disabilities. The aim of this study was to describe whether or not there are gender differences in the demographic profile, disease distribution and outcome in a population of hospitalized elderly people.

METHODS

Retrospective observational study including all patients recruited for the REPOSI study in the year 2010. Analyses are referred to the whole group and gender categorization was applied.

RESULTS

A total of 1380 hospitalized elderly subjects, 50.5% women and 49.5% men, were considered. Women were older than men, more often widow and living alone or in nursing homes. Disease distribution showed that malignancy, diabetes, coronary artery disease, chronic kidney disease and chronic obstructive pulmonary disease were more frequent in men, but hypertension, osteoarthritis, anemia and depression were more frequent in women. Severity and comorbidity indexes according to the Cumulative Illness Rating Scale (CIRS-s and CIRS-c) were higher in men, while cognitive impairment evaluated by the Short Blessed Test (SBT), mood disorders by the Geriatric Depression Scale (GDS) and disability in daily life measured by Barthel Index (BI) were worse in women. In-hospital and 3-month mortality rates were higher in men.

CONCLUSIONS

Our study showed a gender dimorphism in the demographic and morbidity profiles of hospitalized elderly people, emphasizing once more the need for a personalized process of healthcare.

Quality and safety in the transitional care of the elderly (phase 2): the study protocol of a quasi-experimental intervention study for a cross-level educational programme

INTRODUCTION

Transitional care and patient handover are important areas to ensure quality and safety in elderly healthcare services. Previous studies showed that healthcare professionals have little knowledge of the setting they are transferring patients to and a limited understanding of roles and functions; these constitute barriers to effective communication and shared care responsibilities across levels of care.

AIM

The main objective is to implement a cross-level education-based intervention programme with healthcare professionals aimed at (1) increasing professionals' awareness and competencies about quality and safety in the transitional care of the elderly; (2) creating a discussion platform for knowledge exchange and learning across levels and units of care and (3) improving patient safety culture, in particular, in transitional care.

METHODS AND ANALYSIS

A quasi-experimental control group study design with an intervention group and a control group; this includes a pretest, post-test and 1-year follow-up test assessment of patient safety culture. Qualitative data will be collected during the intervention programme and between the measurements. The study design will be beneficial for addressing the effects of the cross-level educational intervention programme on reports of patient safety culture and for addressing the feasibility of the intervention measures.

ETHICS AND DISSEMINATION

The study has been approved by the Regional Committees for Medical and Health Research Ethics in Norway, Ref. No. 2011/1978. The study is based on informed written consent; informants can withdraw from the study at any point in time. The results will be disseminated at research conferences, in peer review journals and through public presentations outside the scientific community.

Disability impacts length of stay in general internal medicine patients

BACKGROUND

Disability is prevalent among patients treated in Internal Medicine (IM), but its impact on length of inpatient stay (LOS) is unknown. Current systems of patient management and resource allocation are disease-focused with scant attention paid to functional impairment. Earlier studies in selected cohorts suggest that disability prolongs LOS.

OBJECTIVE

To investigate the relationship of disability with LOS in IM, controlling for comorbidity.

DESIGN

Prospective cohort study.

PATIENTS

We charted 448 patients from an IM team admitted between 2008 and 2012 for sociodemographic, disease, biochemical and functional characteristics. Each IM team is on duty for one month annually, and patients were hence recruited for one month each year.

MAIN MEASURES

Disability was measured using the Functional Independence Measure (FIM) recorded at discharge. Comorbidity was measured using the Charlson Comorbidity Index (CCI).

KEY RESULTS

Of the 448 patients, 57.4 % were male with mean age 68.6 years. The mean LOS was 9.58 days. The mean motor and cognitive FIM scores were 57.1 and 25.7, respectively. The mean CCI score was 2.69. Thirty-four percent had major social issues impacting discharge plans. The five most common diagnoses for admission were pneumonia (8.9 %), urinary tract infection (7.8 %), cellulitis (7.6 %), heart failure (7.1 %) and falls (6.0 %). Both cognitive and motor FIM scores were negatively correlated with longer LOS (P < 0.001). On multivariate analysis, variables independently associated with longer LOS included the motor FIM score (P < 0.001), presence of social issues such as caregiver unavailability (P < 0.001), non-realistic patient expectations (P = 0.001) and administrative issues impeding discharge (P = 0.016).

CONCLUSION

Disability predicts LOS in IM patients, and thus their comprehensive care should involve functional assessment. As social and administrative factors were also independently associated with LOS, there is a need to involve social workers and administrators in a multidisciplinary approach towards optimizing LOS.