Patient complexity: more than comorbidity. the vector model of complexity

Capturing Home Care Information Management and Communication Processes Among Caregivers of Older Adults: Qualitative Study to Inform Technology Design

BACKGROUND

The demand for complex home care is increasing with the growing aging population and the ongoing COVID-19 pandemic. Family and hired caregivers play a critical role in providing care for individuals with complex home care needs. However, there are significant gaps in research informing the design of complex home care technologies that consider the experiences of family and hired caregivers collectively.

OBJECTIVE

The objective of this study was to explore the health documentation and communication experiences of family and hired caregivers to inform the design and adoption of new technologies for complex home care.

METHODS

The research involved semistructured interviews with 15 caregivers, including family and hired caregivers, each of whom was caring for an older adult with complex medical needs in their home in Ontario, Canada. Due to COVID-19-related protection measures, the interviews were conducted via Teams (Microsoft Corp). The interview guide was informed by the cognitive work analysis framework, and the interview was conducted using storytelling principles of narrative medicine to enhance knowledge. Inductive thematic analysis was used to code the data and develop themes.

RESULTS

Three main themes were developed. The first theme described how participants were continually updating the caregiver team, which captured how health information, including their communication motivations and intentions, was shared among family and hired caregiver participants. The subthemes included binder-based health documentation, digital health documentation, and communication practices beyond the binder. The second theme described how participants were learning to improve care and decision-making, which captured how they acted on information from various sources to provide care. The subthemes included developing expertise as a family caregiver and tailoring expertise as a hired caregiver. The third theme described how participants experienced conflicts within caregiver teams, which captured the different struggles arising from, and the causes of, breakdowns in communication and coordination between family and hired caregiver participants. The subthemes included 2-way communication and trusting the caregiver team.

CONCLUSIONS

This study highlights the health information communication and coordination challenges and experiences that family and hired caregivers face in complex home care settings for older adults. Given the challenges of this work domain, there is an opportunity for appropriate digital technology design to improve complex home care. When designing complex home care technologies, it will be critical to include the overlapping and disparate perspectives of family and hired caregivers collectively providing home care for older adults with complex needs to support all caregivers in their vital roles.

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.

Young people's and adults' views and experiences of decision-making to manage compromised first permanent molars: a qualitative study

BACKGROUND

Little information on young people's and adults' views and experiences on decision-making for managing compromised first permanent molars (cFPM) exists.

AIM

To establish young people's and adults' views and experiences of decision-making for managing cFPM.

DESIGN

Face-to-face (online) semi-structured interviews were undertaken using an iteratively designed topic guide. Participants aged 12-65 were purposively sampled with recruitment from different dental clinics (three primary care, an out-of-hours emergency and one dental hospital). Interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis.

RESULTS

Three themes were generated from young people's interviews (n = 9): (i) influencing factors; (ii) long-term considerations; and (iii) shared decision-making. Three themes were generated from adults' interviews (n = 13): (i) influences that affect decisions; (ii) perceptions of the specialist's role; and (iii) importance of shared decision-making for children and young people.

CONCLUSION

Several factors influenced decision-making; for young people, professional opinions were important, and parental/peer influences less so. For adults, it was based on decisions on their prior experiences. Adults felt young people were abnormal if referred to a specialist. Young people wanted autonomy in decision-making to be respected; in reality, their views were rarely heard. There is potential to increase young people's involvement in shared decision-making for cFPM, which aligns with their aspirations.

Comorbidity and multimorbidity in patients with cirrhosis, hospitalised in an internal medicine ward: a monocentric, cross-sectional study

OBJECTIVES

There are no data regarding the prevalence of comorbidity (ie, additional conditions in reference to an index disease) and multimorbidity (ie, co-occurrence of multiple diseases in which no one holds priority) in patients with liver cirrhosis. We sought to determine the rate and differences between comorbidity and multimorbidity depending on the aetiology of cirrhosis.

DESIGN

This is a subanalysis of the San MAtteo Complexity (SMAC) study. We have analysed demographic, clinical characteristics and rate of comorbidity/multimorbidity of patients with liver cirrhosis depending on the aetiology-alcoholic, infectious and non-alcoholic fatty liver disease (NAFLD). A multivariable analysis for factors associated with multimorbidity was fitted.

SETTING

Single-centre, cross-sectional study conducted in a tertiary referral, academic, internal medicine ward in northern Italy (November 2017-November 2019).

PARTICIPANTS

Data from 1433 patients previously enrolled in the SMAC study were assessed; only those with liver cirrhosis were eventually included.

RESULTS

Of the 1433 patients, 172 (median age 79 years, IQR 67-84; 83 females) had liver cirrhosis. Patients with cirrhosis displayed higher median Cumulative Illness Rating Scale (CIRS) comorbidity (4, IQR 3-5; p=0.01) and severity (1.85, IQR 16.-2.0; p<0.001) indexes and lower educational level (103, 59.9%; p=0.003). Patients with alcohol cirrhosis were significantly younger (median 65 years, IQR 56-79) than patients with cirrhosis of other aetiologies (p<0.001) and more commonly males (25, 75.8%). Comorbidity was more prevalent in patients with alcohol cirrhosis (13, 39.4%) and multimorbidity was more prevalent in viral (64, 81.0%) and NAFLD (52, 86.7%) cirrhosis (p=0.015). In a multivariable model for factors associated with multimorbidity, a CIRS comorbidity index >3 (OR 2.81, 95% CI 1.14 to 6.93, p=0.024) and admission related to cirrhosis (OR 0.19, 95% CI 0.07 to 0.54, p=0.002) were the only significant associations.

CONCLUSIONS

Comorbidity is more common in alcohol cirrhosis compared with other aetiologies in a hospital, internal medicine setting.

How family physicians in Singapore recognise complexity during consultations: a qualitative study

BACKGROUND

The prevalence of persons with complex needs in Singapore is rising. Poor understanding of what constitutes complexity impedes the identification of care gaps and development of interventions to improve care for these individuals. We aim to identify the characteristics contributing to complexity in primary care, from the Family Physicians' (FP) perspectives.

METHODS

Focus group discussions (FGDs) were conducted from January to September 2021 with experienced FPs across 14 study sites, employing a qualitative descriptive approach based on a complexity framework. Data were coded independently and categorised using thematic analysis by two independent investigators.

RESULTS

Five FGDs were conducted with 18 FPs aged 32 to 57 years old working in different primary care settings, with a mean of 13.5 years of primary care experience. Participants emphasised the need for a unified definition of complexity. Complexity is characterised by the presence of issues spanning across two or more domains (medical, psychological, social or behavioural) that adversely impact medical care and outcomes. Persons with complex needs contrast with persons with medically difficult issues. Medical domain issues include the number of active medical problems, poor chronic disease control, treatment interactions, ill-defined symptoms, management of end-of-life conditions and functional impairment. Psychological domain issues include the presence of mental health conditions or cognitive impairment. Social domain issues include the lack of social support, competing social responsibilities and financial issues, while behavioural domain issues include a lack of trust in healthcare workers, fixed health beliefs and poor health literacy.

CONCLUSION

Recognising the medical, psychological, social and behavioural factors that contribute to complexity aids in discerning the diverse needs of individuals with complex needs. This underscores the need for additional support in these pertinent areas.

Comorbidity patterns in cardiovascular diseases: the role of life-stage and socioeconomic status

Cardiovascular diseases stand as a prominent global cause of mortality, their intricate origins often entwined with comorbidities and multimorbid conditions. Acknowledging the pivotal roles of age, sex, and social determinants of health in shaping the onset and progression of these diseases, our study delves into the nuanced interplay between life-stage, socioeconomic status, and comorbidity patterns within cardiovascular diseases. Leveraging data from a cross-sectional survey encompassing Mexican adults, we unearth a robust association between these variables and the prevalence of comorbidities linked to cardiovascular conditions. To foster a comprehensive understanding of multimorbidity patterns across diverse life-stages, we scrutinize an extensive dataset comprising 47,377 cases diagnosed with cardiovascular ailments at Mexico's national reference hospital. Extracting sociodemographic details, primary diagnoses prompting hospitalization, and additional conditions identified through ICD-10 codes, we unveil subtle yet significant associations and discuss pertinent specific cases. Our results underscore a noteworthy trend: younger patients of lower socioeconomic status exhibit a heightened likelihood of cardiovascular comorbidities compared to their older counterparts with a higher socioeconomic status. By empowering clinicians to discern non-evident comorbidities, our study aims to refine therapeutic designs. These findings offer profound insights into the intricate interplay among life-stage, socioeconomic status, and comorbidity patterns within cardiovascular diseases. Armed with data-supported approaches that account for these factors, clinical practices stand to be enhanced, and public health policies informed, ultimately advancing the prevention and management of cardiovascular disease in Mexico.

Understanding people's experiences of the formal health and social care system for co-occurring heavy alcohol use and depression through the lens of relational autonomy: A qualitative study

BACKGROUND AND AIMS

Heavy alcohol use and depression commonly co-occur. However, health and social care services rarely provide coordinated support for these conditions. Using relational autonomy, which recognizes how social and economic contexts and relational support alter people's capacity for agency, this study aimed to (1) explore how people experience formal care provision for co-occurring alcohol use and depression, (2) consider how this context could lead to adverse outcomes for individuals and (3) understand the implications of these experiences for future policy and practice.

DESIGN

Semi-structured qualitative interviews underpinned by the methodology of interpretive description.

SETTING

North East and North Cumbria, UK.

PARTICIPANTS

Thirty-nine people (21 men and 18 women) with current or recent experience of co-occurring heavy alcohol use ([Alcohol Use Disorders Identification Test [AUDIT] score ≥ 8]) and depression ([Patient Health Questionnaire test ≥ 5] screening tools to give an indication of their current levels of alcohol use and mental score).

MEASUREMENTS

Semi-structured interview guide supported in-depth exploration of the treatment and care people had sought and received for heavy alcohol use and depression.

FINDINGS

Most participants perceived depression as a key factor contributing to their heavy alcohol use. Three key themes were identified: (1) 'lack of recognition' of a relationship between alcohol use and depression and/or contexts that limit people's capacity to access help, (2) having 'nowhere to go' to access relevant treatment and care and (3) 'supporting relational autonomy' as opposed to assuming that individuals can organize their own care and recovery. Lack of access to appropriate treatment and provision that disregards individuals' differential capacity for agency may contribute to delays in help-seeking, increased distress and suicidal ideation.

CONCLUSIONS

Among people with co-occurring heavy alcohol use and depression, lack of recognition of a relationship between alcohol use and depression and formal care provision that does not acknowledge people's social and economic context, including their intrinsic need for relational support, may contribute to distress and limit their capacity to get well.

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.

Caring for high-need patients

OBJECTIVE

We aimed to explore the construct of "high need" and identify common need domains among high-need patients, their care professionals, and healthcare organizations; and to describe the interventions that health care systems use to address these needs, including exploring the potential unintended consequences of interventions.

METHODS

We conducted a modified Delphi panel informed by an environmental scan. Expert stakeholders included patients, interdisciplinary healthcare practitioners (physicians, social workers, peer navigators), implementation scientists, and policy makers. The environmental scan used a rapid literature review and semi-structured interviews with key informants who provide healthcare for high-need patients. We convened a day-long virtual panel meeting, preceded and followed by online surveys to establish consensus.

RESULTS

The environmental scan identified 46 systematic reviews on high-need patients, 19 empirical studies documenting needs, 14 intervention taxonomies, and 9 studies providing construct validity for the concept "high need." Panelists explored the construct and terminology and established that individual patients' needs are unique, but areas of commonality exist across all high-need patients. Panelists agreed on 11 domains describing patient (e.g., social circumstances), 5 care professional (e.g., communication), and 8 organizational (e.g., staffing arrangements) needs. Panelists developed a taxonomy of interventions with 15 categories (e.g., care navigation, care coordination, identification and monitoring) directed at patients, care professionals, or the organization. The project identified potentially unintended consequences of interventions for high-need patients, including high costs incurred for patients, increased time and effort for care professionals, and identification of needs without resources to respond appropriately.

CONCLUSIONS

Care for high-need patients requires a thoughtful approach; differentiating need domains provides multiple entry points for interventions directed at patients, care professionals, and organizations. Implementation efforts should consider outlined intended and unintended downstream effects on patients, care professionals, and organizations.

Exploring the Impact of ECHO Ontario Integrated Mental and Physical Health on Participants' Approach and Attitude Toward the Care of Patients With Complex Needs

OBJECTIVE

To examine how project Extension for Community Healthcare Outcomes-Integrated Mental and Physical Health (ECHO-IMPH) influences the attitudes and approaches of primary care providers and other participants towards patients.

METHODS

An exploratory qualitative approach was undertaken using semistructured interviews conducted between August 2020 and March 2021. One hundred and sixty-four individuals from two cycles of ECHO-IMPH were invited to participate, and 22 (n = 22) agreed to participate. Data were analyzed using the Braun and Clarke method for thematic analysis.

RESULTS

Three major themes were identified: 1) enhanced knowledge and skills; 2) changes in attitude and approach; 3) space for reflection and exploration. When participants were asked about areas for improvement, suggestions were focused on the structure of the sessions. Participants identified that ECHO-IMPH helped them to view patients more holistically, which led to greater patient-centered care in their practice. Additionally, skills gained in ECHO-IMPH gave participants the concrete tools needed to have more empathetic interactions with patients with complex needs.

CONCLUSIONS

ECHO-IMPH created a safe space for participants to reflect on their practice with patients with complex needs. Participants applied newly acquired knowledge and skills to provide more empathetic and patient-centered care for patients with complex needs. Based on the shift in perspectives described by participants, transformative learning theory was proposed as a model for how ECHO-IMPH created change in participants' practice.

Critically examining health complexity experienced by urban Indigenous peoples in Canada by exploring the factors that allow health complexity to persist: a qualitative study of Indigenous patients in Calgary, Alberta

OBJECTIVES

This study aims to identify and critically examine the components of health complexity, and explore the factors that allow it to exist, among urban Indigenous peoples in Canada.

DESIGN

Qualitative exploration with relational conversations.

SETTING

Calgary, Alberta, Canada.

PARTICIPANTS

A total of nine urban Indigenous patients were recruited from a multidisciplinary primary healthcare clinic that serves First Nations, Métis and Inuit peoples. Recruitment and data collection took place between September and November 2021.

RESULTS

Thematic analysis revealed three main themes, namely: sources of health complexity, psychological responses to adversity, and resilience, strengths, and protective factors. Key sources of health complexity arose from material resource disparities and adverse interpersonal interactions within the healthcare environment, which manifest into psychological distress while strengths and resilience emerged as protective factors.

CONCLUSION

The healthcare system remains inapt to address complexity among urban Indigenous peoples in Canada. Healthcare violence experienced by Indigenous peoples only further perpetuates health complexity. Future clinical tools to collect information about health complexity among urban Indigenous patients should include questions about the factors defined in this study.

Key characteristics of patient complexity and patient complexity conceptual models/measurement tools: a scoping review protocol

INTRODUCTION

The social determinants of health have been gaining recognition, confirming that multidimensional biopsychosocial assessment is essential to improving the health of individuals. This trend has led to the development of conceptual models and measurement tools assessing 'patient complexity', understood as a complex interplay of biopsychosocial factors, to improve the efficiency and effectiveness of care; however, the variety of meanings encompassed by the term has led to confusion in the interpretation of patient complexity such that there is no consensus regarding the definition or conceptualisation of patient complexity. The primary objective of this scoping review is to identify and map what is known about the key characteristics of patient complexity through multiple database searches.

METHODS AND ANALYSIS

This study will follow an established framework for conducting scoping reviews. The data will be extracted through searches of MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, The Cochrane Library and Google Scholar. Included articles will have: investigated participants aged 19 years or older, with any health condition; described patient complexity, a model for patient complexity, or a measurement tool for patient complexity; and been published in English from 1 January 1970 to April 2022. Article selection and data extraction will be conducted independently by two reviewers and if necessary for consensus, a third reviewer. A descriptive summary will be prepared to explain how the results apply to the scoping review questions. The findings will be a detailed mapping of the health dimensions that emerge from the classification of the extracted data. Subsequently, a definition of patient complexity will be developed.

ETHICS AND DISSEMINATION

This review does not require ethical approval, as we will use publicly available data. The study findings will be disseminated through a relevant conference presentation and a peer-reviewed journal. This protocol is registered on the Open Science Framework (www.osf.io/hpa3c).

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.

Who gets access to an interprofessional team-based primary care programme for patients with complex health and social needs? A cross-sectional analysis

OBJECTIVES

To determine whether a voluntary referral-based interprofessional team-based primary care programme reached its target population and to assess the representativeness of referring primary care physicians.

DESIGN

Cross-sectional analysis of administrative health data.

SETTING

Ontario, Canada.

INTERVENTION

TeamCare provides access to Community Health Centre services for patients of non-team physicians with complex health and social needs.

PARTICIPANTS

All adult patients who participated in TeamCare between 1 April 2015 and 31 March 2017 (n=1148), and as comparators, all non-referred adult patients of the primary care providers who shared patients in TeamCare (n=546 989), and a 1% random sample of the adult Ontario population (n=117 753).

RESULTS

TeamCare patients were more likely to live in lower income neighbourhoods with a higher degree of marginalisation relative to comparison groups. TeamCare patients had a higher mean number of diagnoses, higher prevalence of all chronic conditions and had more frequent encounters with the healthcare system in the year prior to participation.

CONCLUSIONS

TeamCare reached a target population and fills an important gap in the Ontario primary care landscape, serving a population of patients with complex needs that did not previously have access to interprofessional team-based care.

STRENGTHS AND LIMITATIONS

This study used population-level administrative health data. Data constraints limited the ability to identify patients referred to the programme but did not receive services, and data could not capture all relevant patient characteristics.

Empowering family carers of people with multimorbidity as partners in chronic health care: Insights from health professionals

OBJECTIVES

People living with multimorbidity often rely on the support of informal family carers, yet challenges frequently arise when carers of people with multimorbidity (PwM) interact with health professionals (HPs) and healthcare systems. This study aimed to provide insights into the experiences and challenges involved in working with carers of PwM, from HPs' perspectives.

METHODS

Twenty-one HPs (11 doctors, 5 nurses and 5 allied health professionals) from varying specialities participated in semi-structured interviews. Interviews were transcribed and qualitatively analysed using thematic analysis.

RESULTS

Five themes were identified: carer involvement makes multimorbidity easier to manage, differing views on HP's responsibilities to carers, multimorbidity makes management harder for HPs, strategies to support carers of PwM, and multimorbidity is one aspect of complexity.

CONCLUSIONS

HPs recognise unique needs of carers of PwM, yet perceive challenges addressing these needs and supporting this commonly overlooked group.

PRACTICE IMPLICATIONS

The unmet needs of carers of PwM that HPs identified in this study suggest pathways for future improvements and interventions, including HP education and training, and appropriate referral pathways for carers of PwM to access supportive services. Underpinning these findings is the need for greater recognition and respect for the critical work of family carers in healthcare.

Evaluation of Complexity Measurement Tools for Correlations with Health-Related Outcomes, Health Care Costs and Impacts on Healthcare Providers: A Scoping Review

Various tools to measure patient complexity have been developed. Primary care physicians often deal with patient complexity. However, their usefulness in primary care settings is unclear. This study explored complexity measurement tools in general adult and patient populations to investigate the correlations between patient complexity and outcomes, including health-related patient outcomes, healthcare costs, and impacts on healthcare providers. We used a five-stage scoping review framework, searching MEDLINE and CINAHL, including reference lists of identified studies. A total of 21 patient complexity management tools were found. Twenty-five studies examined the correlation between patient complexity and health-related patient outcomes, two examined healthcare costs, and one assessed impacts on healthcare providers. No studies have considered sharing information or action plans with multidisciplinary teams while measuring outcomes for complex patients. Of the tools, eleven used face-to-face interviews, seven extracted data from medical records, and three used self-assessments. The evidence of correlations between patient complexity and outcomes was insufficient for clinical implementation. Self-assessment tools might be convenient for conducting further studies. A multidisciplinary approach is essential to develop effective intervention protocols. Further research is required to determine these correlations in primary care settings.

Multicomponent, high-intensity, and patient-centered care intervention for complex patients in transitional care: SPICA program

Multimorbidity is increasingly present in our environment. Besides, this is accompanied by a deterioration of social and environmental conditions and affects the self-care ability and access to health resources, worsening health outcomes and determining a greater complexity of care. Different multidisciplinary and multicomponent programs have been proposed for the care of complex patients around hospital discharge, and patient-centered coordination models may lead to better results than the traditional ones for this type of patient. However, programs with these characteristics have not been systematically implemented in our country, despite the positive results obtained. Hospital Universitario de Canarias cares for patients from the northern area of Tenerife and La Palma, Spain. In this hospital, a multicomponent and high-intensity care program is carried out by a multidisciplinary team (made up of family doctors and nurses together with social workers) with complex patients in the transition of care (SPICA program). The aim of this program is to guarantee social and family reintegration and improve the continuity of primary healthcare for discharged patients, following the patient-centered clinical method. Implementing multidisciplinary and high-intensity programs would improve clinical outcomes and would be cost-effective. This kind of program is directly related to the current clinical governance directions. In addition, as the SPICA program is integrated into a Family and Community Care Teaching Unit for the training of both specialist doctors and specialist nurses, it becomes a place where the specific methodology of those specialties can be carried out in transitional care. During these 22 years of implementation, its continuous quality management system has allowed it to generate an important learning curve and incorporate constant improvements in its work processes and procedures. Currently, research projects are planned to reevaluate the effectiveness of individualized care plans and the cost-effectiveness of the program.

Decision-making and related outcomes of patients with complex care needs in primary care settings: a systematic literature review with a case-based qualitative synthesis

BACKGROUND

In primary care, patients increasingly face difficult decisions related to complex care needs (multimorbidity, polypharmacy, mental health issues, social vulnerability and structural barriers). There is a need for a pragmatic conceptual model to understand decisional needs among patients with complex care needs and outcomes related to decision. We aimed to identify types of decisional needs among patients with complex care needs, and decision-making configurations of conditions associated with decision outcomes.

METHODS

We conducted a systematic mixed studies review. Two specialized librarians searched five bibliographic databases (Medline, Embase, PsycINFO, CINAHL and SSCI). The search strategy was conducted from inception to December 2017. A team of twenty crowd-reviewers selected empirical studies on: (1) patients with complex care needs; (2) decisional needs; (3) primary care. Two reviewers appraised the quality of included studies using the Mixed Methods Appraisal Tool. We conducted a 2-phase case-based qualitative synthesis framed by the Ottawa Decision Support Framework and Gregor's explicative-predictive theory type. A decisional need case involved: (a) a decision (what), (b) concerning a patient with complex care needs with bio-psycho-social characteristics (who), (c) made independently or in partnership (how), (d) in a specific place and time (where/when), (e) with communication and coordination barriers or facilitators (why), and that (f) influenced actions taken, health or well-being, or decision quality (outcomes).

RESULTS

We included 47 studies. Data sufficiency qualitative criterion was reached. We identified 69 cases (2997 participants across 13 countries) grouped into five types of decisional needs: 'prioritization' (n = 26), 'use of services' (n = 22), 'prescription' (n = 12), 'behavior change' (n = 4) and 'institutionalization' (n = 5). Many decisions were made between clinical encounters in situations of social vulnerability. Patterns of conditions associated with decision outcomes revealed four decision-making configurations: 'well-managed' (n = 13), 'asymmetric encounters' (n = 21), 'self-management by default' (n = 8), and 'chaotic' (n = 27). Shared decision-making was associated with positive outcomes. Negative outcomes were associated with independent decision-making.

CONCLUSION

Our results could extend decision-making models in primary care settings and inform subsequent user-centered design of decision support tools for heterogenous patients with complex care needs.

Caregiver Burden Correlates With Complexity of Drug Regimen in Non-oncological Palliative Medicine

BACKGROUND

Progressive chronic diseases presume a complex treatment plan that depends on the number of symptoms, their severity, and comorbidities. Drug management is an essential responsibility of the family caregiver of a palliative care patient, but has received limited attention in field research.

STUDY QUESTIONS

The aim of this study is to identify the complexity of the therapeutic plan followed at home by cancer or noncancer patients needing palliative care, and to assess its impact on the burden of the family caregivers.

STUDY DESIGN

This observational study was conducted at patient's admission in a palliative care department. The study involved cancer and noncancer patients and their primary family caregivers. To measure the care burden, the Burden Scale for Family Caregiver was used and for the complexity of the therapeutic plan, the Medication Regime Complexity Index.

MEASURES AND OUTCOMES

To measure the care burden, the Burden Scale for Family Caregiver was used and for the complexity of the therapeutic plan, the Medication Regime Complexity Index.

RESULTS

One hundred and forty patients were enrolled with their family caregivers: patients with nononcological pathologies (n = 63) and patients with cancer (n = 77). Caregiver's burden score is statistically significantly correlated with the complexity of the medical plan in both groups (P = 0.32 and P = 0.012 respectively). The average family caregiver's burden was significantly higher in the nononcological group (45 ± 14.45 vs. 36.52 ± 15.05; P = 0.001). The number of medications that family caregivers administer daily for patients without cancer is higher than in the other subset (8.25 ± 4.94 vs. 5.89 ± 4.93; P = 0.004). Opioids were more frequently used for pain control in cancer patients (5 vs. 72; P = 0.0001).

CONCLUSIONS

The caregiver's burden is high for nononcological patients. The complexity of the treatment plan (number of drugs and frequency of administration) is significantly correlated with the care burden. Further studies are needed to understand which interventions targeted on family caregivers will minimize the burden of care.

Planning with care complexity: Factors related to discharge delays of hospitalised people with disability

Planning for discharge and supports beyond hospital for people with disability in Australia involves negotiation of complex care systems. The aims of this study were to examine how the individualised support pathway of the National Disability Insurance Scheme (NDIS) functioned for admitted people with disability who required funded support to leave hospital; and to explore the factors indicative of increased care complexity associated with delays. Retrospective chart reviews of people with disability were conducted. Data on 198 eligible patients were extracted, including NDIS plan approval and plan implementation timeframes and discharge delay. Participants' median age was 52 years (interquartile range = 41-59). The most common disability type was spinal cord injury (41%). The median NDIS plan approval and implementation timeframes were 89 days (63-123) and 39 days (8-131), respectively, and most participants (72%) experienced a delayed discharge. A longer plan implementation timeframe was associated with higher odds of a delay in discharge (OR = 3.41, 95% credible interval = 1.56, 7.11). We did not find any evidence that plan approval timeframe, or any other variable indicative of increased care complexity, was associated with discharge delays. Our findings suggest that a delayed discharge will likely be the reality for people with disability who require funded supports to leave hospital. They also suggest that NDIS plan implementation is a major challenge and a focus for policy and practice improvements. To target solutions, further research should focus on the interactions and negotiations of the multiple intermediaries involved and resource and structural impediments to plan implementation.

Patient complexity assessment tools containing inquiry domains important for Indigenous patient care: A scoping review

Patient complexity assessment tools (PCATs) are utilized to collect vital information to effectively deliver care to patients with complexity. Indigenous patients are viewed in the clinical setting as having complex health needs, but there is no existing PCAT developed for use with Indigenous patients, although general population PCATs may contain relevant content. Our objective was to identify PCATs that include the inquiry of domains relevant in the care of Indigenous patients with complexity. A scoping review was performed on articles published between 2016 and 2021 to extend a previous scoping review of PCATs. Data extraction from existing frameworks focused on domains of social realities relevant to the care of Indigenous patients. The search resulted in 1078 articles, 82 underwent full-text review, and 9 new tools were identified. Combined with previously known and identified PCATs, only 6 items from 5 tools tangentially addressed the domains of social realities relevant to Indigenous patients. This scoping review identifies a major gap in the utility and capacity of PCATs to address the realities of Indigenous patients. Future research should focus on developing tools to address the needs of Indigenous patients and improve health outcomes.

Improving multimorbidity measurement using individualized disease-specific quality of life impact assessments: predictive validity of a new comorbidity index

Background

Interpretation of health-related quality of life (QOL) outcomes requires improved methods to control for the effects of multiple chronic conditions (MCC). This study systematically compared legacy and improved method effects of aggregating MCC on the accuracy of predictions of QOL outcomes.

Methods

Online surveys administered generic physical (PCS) and mental (MCS) QOL outcome measures, the Charlson Comorbidity Index (CCI), an expanded chronic condition checklist (CCC), and individualized QOL Disease-specific Impact Scale (QDIS) ratings in a developmental sample (N = 5490) of US adults. Controlling for sociodemographic variables, regression models compared 12- and 35-condition checklists, mortality vs. population QOL-weighting, and population vs. individualized QOL weighting methods. Analyses were cross-validated in an independent sample (N = 1220) representing the adult general population. Models compared estimates of variance explained (adjusted R²) and model fit (AIC) for generic PCS and MCS across aggregation methods at baseline and nine-month follow-up.

Results

In comparison with sociodemographic-only regression models (MCS R² = 0.08, PCS = 0.09) and Charlson CCI models (MCS R² = 0.12, PCS = 0.16), increased variance was accounted for using the 35-item CCC (MCS R² = 0.22, PCS = 0.31), population MCS/PCS QOL weighting (R² = 0.31–0.38, respectively) and individualized QDIS weighting (R² = 0.33 & 0.42). Model R² and fit were replicated upon cross-validation.

Conclusions

Physical and mental outcomes were more accurately predicted using an expanded MCC checklist, population QOL rather than mortality CCI weighting, and individualized rather than population QOL weighting for each reported condition. The 3-min combination of CCC and QDIS ratings (QDIS-MCC) warrant further testing for purposes of predicting and interpreting QOL outcomes affected by MCC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-022-02016-7.

Health professionals' experience of implementing and delivering a 'Community Care' programme in metropolitan Melbourne: a qualitative reflexive thematic analysis

OBJECTIVES

To explore the experiences of health professionals involved in delivering a multidisciplinary Community Care programme that provides a transitional care coordination service for patients visiting a tertiary hospital service in Melbourne, Australia.

DESIGN

Reflexive thematic analysis was used to identify themes from descriptions of delivering the programme, including its perceived strengths and challenges.

PARTICIPANTS

12 healthcare professionals from four disciplines working in the Community Care programme were interviewed.

RESULTS

Four themes were identified: (1) 'increasingly complex', depicts the experience of delivering care to patients with increasingly complex health needs; (2) 'plugging unexpected gaps', describes meeting patient's healthcare needs; (3) 'disconnected', explains system-based issues which made participants feel disconnected from the wider health service; (4) 'a misunderstood programme', illustrates that a poor understanding of the programme within the health service is a barrier to patient enrolment which may have been exacerbated by a service name change.

CONCLUSIONS

The healthcare professionals involved in this study described the experience of providing care to patients as challenging, but felt they made a positive difference. By unravelling the patients' health problems in context of their surroundings, they were able to recognise the increasingly complex patients' health needs. The disconnection they faced to integrate within the wider healthcare system made their role at times difficult. This disconnection was partly contributed to by the fact that they felt the programme was misunderstood.

Assessing multidimensional complexity in home care: congruencies and discrepancies between patients and nurses

Background

Person-centered care allows for the inclusion of the totality of a person’s needs and preferences, beyond just the clinical or medical aspect. This approach requires the development of tools to allow for the integration of the patient in his/her healthcare. Based on a 30-item tool developed for nurses to evaluate the complexity of home care situations (COMID), this study proposed a version for the patients (i.e. COMID-P). Both instruments were used, independently by nurses and patients, to rate the complexity of individual situations, in order to compare ratings.

Methods

The COMID-P and the COMID were completed during the fraXity study at the patients’ homes, independently by patients (aged 65 and over) and nurses. Item-level and scale-level analyses were performed using, Kappa and McNemar tests, and intra-class correlation (ICC).

Results

A total of 159 pairs of COMID and COMID-P ratings were retained for analyses. Results demonstrated a high degree of patient/nurse agreement for 12/30 items, a moderate agreement for 10/30 items, and a low degree of agreement for 7/30 items. The intra-class correlation between the COMID-P and the COMID was high (ICC= .826, 95%CI [.761-.873]).

Conclusions

The results demonstrate that patients and nurses can assess complexity using tools that have comparable structural properties. They also reveal congruencies and discrepancies in scoring the components of complexity, highlighting the need of reaching consensus in designing care plans. Further work is needed to demonstrate the benefits of joint assessment in developing care plans that truly meet patients’ needs.

Trial registration

The fraXity study was registered in ClinicalTrials.gov, NCT03883425, on March 20, 2019.

Aging underlies heterogeneity between comorbidity and multimorbidity frameworks

Studies exploring differences between comorbidity (i.e., the co-existence of additional diseases with reference to an index condition) and multimorbidity (i.e., the presence of multiple diseases in which no one holds priority) are lacking. In this single-center, observational study conducted in an academic, internal medicine ward, we aimed to evaluate the prevalence of patients with two or more multiple chronic conditions (MCC), comorbidity, or multimorbidity, correlating them with other patients' characteristics. The three categories were compared to the Cumulative Illness Rating Scale (CIRS) comorbidity index, age, gender, polytherapy, 30-day readmission, in-hospital and 30-day mortalities. Overall, 1394 consecutive patients (median age 80 years, IQR 69-86; F:M ratio 1.16:1) were included. Of these, 1341 (96.2%; median age 78 years, IQR 65-84; F:M ratio 1.17:1) had MCC. Fifty-three patients (3.8%) had no MCC, 286 (20.5%) had comorbidity, and 1055 (75.7%) had multimorbidity, showing a statistically significant (p < 0.001) increasing age trend (median age 38 years vs 71 vs 82, respectively) and increasing mean CIRS comorbidity index (1.53 ± 0.95 vs 2.97 ± 1.43 vs 4.09 ± 1.70, respectively). The CIRS comorbidity index was always higher in multimorbid patients, but only in the subgroups 75-84 years and ≥ 85 years was a significant (p < 0.001) difference (1.24 and 1.36, respectively) noticed. At multivariable analysis, age was always independently associated with in-hospital mortality (p = 0.002), 30-day mortality (p < 0.001), and 30-day readmission (p = 0.037), while comorbidity and multimorbidity were not. We conclude that age determines the most important differences between comorbid and multimorbid patients, as well as major outcomes, in a hospital setting.

Does scoring patient complexity using COMPRI predict the length of hospital stay? A multicentre case-control study in Japan

OBJECTIVE

To clarify the factors associated with prolonged hospital stays, focusing on the COMplexity PRediction Instrument (COMPRI) score's accuracy in predicting the length of stay of newly hospitalised patients in general internal medicine wards.

DESIGN

A case-control study.

SETTING

Three general internal medicine wards in Chiba Prefecture, Japan.

PARTICIPANTS

Thirty-four newly hospitalised patients were recruited between November 2017 and December 2019, with a final analytic sample of 33 patients. We included hospitals in different cities with general medicine outpatient and ward facilities, who agreed to participate. We excluded any patients who were re-hospitalised within 2 weeks of a prior discharge.

PRIMARY AND SECONDARY OUTCOME MEASURES

Patients' COMPRI scores and their consequent lengths of hospital stay.

RESULTS

The 17 patients (52%) allocated to the long-term hospitalisation group (those hospitalised ≥14 days) had a significantly higher average age, COMPRI score and percentage of participants with comorbid chronic illnesses than the short-term hospitalisation group (<14 days). A logistic regression model (model A, comprising only the COMPRI score as the explanatory variable) and a multiple logistic regression model (model B, comprising variables other than the COMPRI score as explanatory variables) were created as prediction models for the long-term hospitalisation group. When age ≥75 years, a COMPRI score ≥6 and a physician with 10 years' experience were set as explanatory variables, model A showed better predictive accuracy compared with model B (fivefold cross-validation, area under curve of 0.87 vs 0.78). The OR of a patient with a COMPRI score of ≥6 joining the long-term hospitalisation group was 4.25 (95% CI=1.43 to 12.63).

CONCLUSIONS

Clinicians can use the COMPRI score when screening for complexity assessment to identify hospitalised patients at high risk of prolonged hospitalisation. Providing such patients with multifaceted and intensive care may shorten hospital stays.

Patient-initiated follow up as a means of reducing pressures in secondary care

Outpatient services, largely dedicated to routine follow up, have been under increasing pressure in recent years. The growing and ageing UK population has been a large driver of this pressure, requiring a significant increase in annual outpatient appointments. Many of these appointments, however, may be guided by organisational, rather than clinical need, and as a result, some evidence indicates patient attendance rates have fallen, demonstrating a need for more effective, patient-centred care models. One such model, patient-initiated follow up (PIFU) has shown significant promise, empowering patients while simultaneously reducing appointment numbers and increasing attendance rates. However, for PIFU to be implemented nationwide several key considerations must be made to ensure patients are appropriately engaged, and supported, in directing their own care.

Depression complexity prevalence and outcomes among veterans affairs patients in integrated primary care

INTRODUCTION

The Veterans Health Administration (VA) Primary Care-Mental Health Integration (PC-MHI) initiative targets depression (MDD), anxiety/posttraumatic stress disorder (PTSD) and alcohol misuse (AM) for care improvement. In primary care, case finding often relies on depression screening. Whereas clinical practice guidelines solely inform management of depression, minimal information exists to guide treatment when psychiatric symptom clusters coexist. We provide descriptive clinical information for care planners about VA PC patients with depression alone, depression plus alcohol misuse, and depression with complex psychiatric comorbidities (PTSD and/or probable bipolar disorder).

METHOD

We examined data from a VA study that used a visit-based sampling procedure to screen 10,929 VA PC patients for depression; 761 patients with probable major depression completed baseline measures of health and care engagement. Follow-up assessments were completed at 7 months.

RESULTS

At baseline, 53% of patients evidenced mental health conditions in addition to depression; 10% had concurrent AM, and 43% had psychiatrically complex depression (either with or without AM). Compared with patients with depression alone or depression with AM, those with psychiatrically complex depression evinced longer standing and more severe mood disturbance, higher likelihood of suicidal ideation, higher unemployment, and higher levels of polypharmacy. Baseline depression complexity predicted worse mental health status and functioning at follow-up.

DISCUSSION

A substantial proportion of VA primary care patients with depression presented with high medical multimorbidity and elevated safety concerns. Psychiatrically complex depression predicted lower treatment effectiveness, suggesting that PC-MHI interventions should co-ordinate and individualize care for these patients. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Longitudinal patient-reported outcomes and survival among early-stage non-small cell lung cancer patients receiving stereotactic body radiotherapy

BACKGROUND AND PURPOSE

The study objective was to determine whether longitudinal changes in patient-reported outcomes (PROs) were associated with survival among early-stage, non-small cell lung cancer (NSCLC) patients undergoing stereotactic body radiation therapy (SBRT).

MATERIALS AND METHODS

Data were obtained from January 2015 through March 2020. We ran a joint probability model to assess the relationship between time-to-death, and longitudinal PRO measurements. PROs were measured through the Edmonton Symptom Assessment Scale (ESAS). We controlled for other covariates likely to affect symptom burden and survival including stage, tumor diameter, comorbidities, gender, race/ethnicity, relationship status, age, and smoking status.

RESULTS

The sample included 510 early-stage NSCLC patients undergoing SBRT. The median age was 73.8 (range: 46.3-94.6). The survival component of the joint model demonstrates that longitudinal changes in ESAS scores are significantly associated with worse survival (HR: 1.04; 95% CI: 1.02-1.05). This finding suggests a one-unit increase in ESAS score increased probability of death by 4%. Other factors significantly associated with worse survival included older age (HR: 1.04; 95% CI: 1.03-1.05), larger tumor diameter (HR: 1.21; 95% CI: 1.01-1.46), male gender (HR: 1.87; 95% CI: 1.36-2.57), and current smoking status (HR: 2.39; 95% CI: 1.25-4.56).

CONCLUSION

PROs are increasingly being collected as a part of routine care delivery to improve symptom management. Healthcare systems can integrate these data with other real-world data to predict patient outcomes, such as survival. Capturing longitudinal PROs-in addition to PROs at diagnosis-may add prognostic value for estimating survival among early-stage NSCLC patients undergoing SBRT.

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.

How do healthcare providers construe patient complexity? A qualitative study of multimorbidity in HIV outpatient clinical practice

INTRODUCTION

Patient complexity is an increasingly used concept in clinical practice, policy debates and medical research. Yet the literature lacks a clear definition of its meaning and drivers from the health provider's perspective. This shortcoming is problematic for clinical practice and medical education in the light of a rising number of multimorbid patients and the need for future healthcare providers that are adequately trained in treating complex patients.

OBJECTIVES

To develop an empirically grounded framework of healthcare providers' perceptions of patient complexity and to characterise the relationship between case complexity, care complexity and provider experience as complexity-contributing factors.

DESIGN

Qualitative study based on semistructured in-depth interviews with healthcare practitioners.

SETTING

A Swiss hospital-based HIV outpatient clinic.

PARTICIPANTS

A total of 31 healthcare providers participated. Participants volunteered to take part and comprised 17 nurses, 8 junior physicians (interns) and 6 senior physicians (residents, fellows and attendings).

RESULTS

Perceived patient complexity arises from the combination of case complexity drivers, the provider's perceived controllability, and a set of complexity moderators at the levels of the patient, the care provider and the broader care context. We develop a conceptual framework that outlines key relationships among these complexity-contributing factors and present 10 key questions to help guide medical professionals in making complexity more explicit and more manageable in daily practice.

CONCLUSIONS

The framework presented in this study helps to advance a shared understanding of patient complexity. Our findings inform curriculum design and the teaching of essential skills to medical students in areas characterised by high patient complexity such as general internal medicine and geriatrics. From a policy perspective, our findings have important implications for the design of more effective healthcare interventions for complex patients.

In-Hospital Clinical Outcomes in Patients with Fragility Fractures of the Lumbar Spine, Thoracic Spine, and Pelvic Ring: A Comparison of Data before and after Certification as a DGU® Geriatric Trauma Centre

Background and Objectives: The implementation of orthogeriatric co-management (OGCM) reflects the demand for interdisciplinary collaborations due to the increasing comorbidities of geriatric trauma patients. This study aimed to assess clinical in-hospital outcomes in lumbar spine, thoracic spine, and pelvic ring fragility fracture patients before and after the implementation of a Geriatric Trauma Centre (GTC) certified by the German Trauma Society (DGU^®). Materials and Methods: In this observational, retrospective cohort study, geriatric trauma patients (>70 years of age) were stratified into either a pre-GTC group (hospital admission between 1 January 2012 and 31 December 2013) or a post-GTC group (hospital admission between 1 January 2017 and 31 December 2018). Patients’ pre-injury medical complexity was measured by ASA class (American Society of Anaesthesiologists classification), the use of anticoagulant medication, and the ACCI (Age-adjusted Charlson Comorbidity Index). Outcome parameters were patients’ in-hospital length of stay (LOS) and mortality rates, as well as new in-hospital findings and diagnoses. Further, the necessity of deviation from initial management plans due to complications was assessed using the Adapted Clavien–Dindo Scoring System in Trauma (ACDiT score of ≥1). Results: Patients in the post-GTC group (n = 111) were older (median age 82.0 years) compared to the pre-GTC group (n = 108, median age 80.0 years, p = 0.016). No differences were found in sex, body mass index, ASA class, or ACCI (all p > 0.05). Patients in the post-GTC group used vitamin K antagonists or direct oral anticoagulants more frequently (21.3% versus 10.8%). The incidence of non-surgical treatment and mortality was comparable between groups, while LOS tended to be shorter in the post-GTC group (7.0 days versus 9.0 days, p = 0.076). In the post-GTC group, the detection of urinary tract infections (UTI) increased (35.2% versus 16.2%, p = 0.001), and the delirium diagnoses tended to increase (13.0% versus 6.3%, p = 0.094), while an ACDiT score of ≥1 was comparable between groups (p = 0.169). Conclusions: In this study including lumbar spine, thoracic spine, and pelvic ring geriatric fragility fractures, patients in the post-GTC group were more medically complex. More UTIs and the tendency for increased delirium detection was observed in the post-GTC group, likely due to improved diagnostic testing. Nonetheless, the necessity of deviation from initial management plans (ACDiT score of ≥1) was comparable between groups, potentially a positive result of OGCM.

Enhancing Team Learning through Leader Inclusiveness: A One-Year Ethnographic Case Study of an Interdisciplinary Teacher Team

PHENOMENON

Developing modern medical curricula requires collaboration between different scientific and clinical disciplines. Consequently, institutions face the daunting task to engage colleagues from different disciplines in effective team collaboration. Two aspects that are vital to the success of such teamwork are "team learning behavior" by all team members and "leader inclusiveness behavior" by the team leader. Team members display team learning behavior when they share information, build upon and integrate each other's viewpoints. The team leader can promote such team learning by exhibiting inclusiveness behavior, which aims to encourage diversity and preserve individual differences for an inclusive workplace, nurturing engagement in teamwork. There is a paucity of in-depth research on leader inclusiveness behavior in the field of medical education. This case study aimed to offer unique insight into how leader inclusiveness behavior manifests itself in a successful interdisciplinary teacher team, demonstrating team learning behavior in undergraduate medical education.

APPROACH

We conducted a qualitative, ethnographic case study using different but complementary methods, including observations, interviews and a documentary analysis of email communication. By means of purposive sampling, we selected an existing interdisciplinary teacher team that was responsible for an undergraduate medical course at Maastricht University, the Netherlands, and that was known to be successful. Chaired by a physician, the team included planning group members and tutors with medical, biomedical, and social sciences backgrounds as well as student-representatives. In the course of one academic year, 23 meetings were observed and recorded, informal interviews were conducted, and over 100 email conversations were collected. All data were submitted to a directed content analysis based on team learning and leader inclusiveness concepts.

FINDINGS

Leader inclusiveness behavior became evident from verbal and non-verbal interactions between the team leader and team members. Leader inclusiveness behavior that facilitated team learning behavior manifested itself in five actions undertaken by the team leader: coordinating, explicating, inviting, connecting, and reflecting. Similarly, team members facilitated team learning behavior by participating actively, speaking up behavior, and mimicking leader inclusiveness behavior. These behaviors demonstrated engagement and feelings of inclusion, and reinforced leader inclusiveness behavior by creating additional opportunities for the leader to exhibit such behavior.

INSIGHTS

This case study responds to the need for inclusive leadership approaches in medical education. Our findings build upon theoretical knowledge on team learning and leader inclusiveness concepts. By studying behaviors, interactions and documents we obtained in-depth information on leader inclusiveness. Our findings are unique in that they demonstrate how leader inclusiveness behavior manifests itself when leaders interact with their team members. This study provides health professionals who are active in education with practical suggestions on how to act as a successful and inclusive leader. Finally, the behaviors identified open up avenues for future professional development initiatives and future research on team leadership.

Supplemental data for this article is available online at here.

Developing PHarmacie-R: A bedside risk prediction tool with a medicines management focus to identify risk of hospital readmission

BACKGROUND

The imperative to identify patients at risk of medication-related harm has never been greater. Hospital clinicians cannot easily predict risk of readmission or harm. Candidate variables associated with medication-related harm derived from the literature or significantly represented in a complex patient cohort have been previously described by PHarmacie-4. With a focus on polypharmacy and high-risk medicines in vulnerable patient cohorts, PHarmacie-4 was easy to use and highlighted risks. However it over-estimated risk, reducing its usefulness in stratifying risk of readmission.

OBJECTIVE

Develop a risk prediction tool built into a smart phone app, enabling clinicians to identify and refer high-risk patients for an early post-discharge medicines review. Demonstrate usability, real world application and validity in an independent dataset.

METHODS

A retrospective, observational study was conducted with 1201 randomly selected patients admitted to Sir Charles Gairdner Hospital between June 1, 2016 to December 31, 2016. Patient characteristics and outcomes of interest were reported, including unplanned hospital utilisation at 30, 60 and 90 days post-discharge. Using multivariable logistic regression modelling, an algorithm was developed, built into a smart phone app and used and validated in an independent dataset.

RESULTS

738 patients (61%) were included in the derivation sample. The best predictive performance was achieved by PHarmacie-R (C-statistic 0.72, 95% CI 0.68-0.75) which included PHarmacie-4 risk variables, a non-linear effect of age, unplanned hospital utilisation in the preceding six months and gender. The independent validation dataset had a C-statistic of 0.64 (95% CI 0.56-0.72).

CONCLUSION

PHarmacie-R is the first readmission risk prediction tool, built into a smart phone app, focussing on polypharmacy and high-risk medicines in vulnerable patients. It can assist clinical pharmacists to identify medical inpatients who may benefit from early post-discharge medication management services. External validation is needed to enable application in other clinical settings.

Integrating patient complexity into health policy: a conceptual framework

Objective Clinicians across all health professions increasingly strive to add value to the care they deliver through the application of the central tenets of people-centred care (PCC), namely the 'right care', in the 'right place', at the 'right time' and 'tailored to the needs of communities'. This ideal is being hampered by a lack of a structured, evidence-based means to formulate policy and value the commissioning of services in an environment of increasing appreciation for the complex health needs of communities. This creates significant challenges for policy makers, commissioners and providers of health services. Communities face a complex intersection of challenges when engaging with healthcare. Increasingly, complexity is gaining prominence as a significant factor in the delivery of PCC. Based on the World Health Organization (WHO) components of health policy, this paper proposes a policy framework that enables policy makers, commissioners and providers of health care to integrate a model of complexity into policy, subsequent service planning and development of models of care. Methods The WHO components of health policy were used as the basis for the framework. Literature was drawn on to develop a policy framework that integrates complexity into health policy. Results Within the framework, complexity is juxtaposed between the WHO components of 'vision', 'priorities' and 'roles'. Conclusion This framework, supported by the literature, provides a means for policy makers and health planners to conduct analyses of and for policy. Further work is required to better model complexity in a manner that integrates consumer needs and provider capabilities. What is known about the topic? There is a growing body of evidence regarding patient complexity and its impact on the delivery of health services, but there is little consideration of patient complexity in policy, which is an important consideration for service provision. What does this paper add? This paper presents an argument for the inclusion of patient complexity in health policy and provides a framework for how that might occur. What are the implications for practitioners? The inclusion of patient complexity in policy could provide a means for policy makers to consider the factors that contribute to patient complexity in service provision decisions.

Peer review audit of non-specialist occupational physician reports

BACKGROUND

With declining specialist occupational physician (OP) numbers, there is increasing recognition of the importance of non-specialist physicians in occupational health (OH) service delivery, yet to date, this physician group remains understudied and their competency requirements poorly understood.

AIMS

To evaluate the quality of a sample of non-specialist OH reports and compare these with specialist reports.

METHODS

A retrospective peer review audit of a convenience sample of 200 consecutive non-specialist and specialist OH reports from an Irish OH service using an assessment form based on the modified Sheffield Assessment Instrument for Letters SAIL(OH)1.

RESULTS

Of the 200 peer reviewed OH reports, 159 (80%) were from non-specialists. For all questions, 87% and above of non-specialist reports were 'satisfactory' or 'above expected'. On the overall assessment, out of 10, the mean non-specialist report score was 6.8 (standard deviation (SD) 3-10) and the specialist score was 7.3 (SD 3-10). Comparatively, non-specialist reports highlighted legal/ethical issues marginally more and adhered slightly better to contractual/ethical/legal boundaries, while specialist reports fared better in addressing manager's questions, in their structure and clarity and in covering all significant aspects of the case, particularly if the case was complex.

CONCLUSIONS

Our findings demonstrate a high standard of OH report quality in this sample of non-specialist OPs that is consistent across all key OH report components. Potential development areas are also identified that can inform education/training tailored to this physician group and assist in competency standard-setting.

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.

Measuring the complexity of general practice consultations: a Delphi and cross-sectional study in English primary care

BACKGROUND

The complexity of general practice consultations may be increasing and varies in different settings. A measure of complexity is required to test these hypotheses.

AIM

To develop a valid measure of general practice consultation complexity applicable to routine medical records.

DESIGN AND SETTING

Delphi study to select potential indicators of complexity followed by a cross-sectional study in English general practices to develop and validate a complexity measure.

METHOD

The online Delphi study over two rounds identified potential indicators of consultation complexity. The cross-sectional study used an age-sex stratified random sample of patients and general practice face-to-face consultations from 2013/2014 in the Clinical Practice Research Datalink. The authors explored independent relationships between each indicator and consultation duration using mixed-effects regression models, and revalidated findings using data from 2017/2018. The proportion of complex consultations in different age-sex groups was assessed.

RESULTS

A total of 32 GPs participated in the Delphi study. The Delphi panel endorsed 34 of 45 possible complexity indicators after two rounds. After excluding factors because of low prevalence or confounding, 17 indicators were retained in the cross-sectional study. The study used data from 173 130 patients and 725 616 face-to-face GP consultations. On defining complexity as the presence of any of these 17 factors, 308 370 consultations (42.5%) were found to be complex. Mean duration of complex consultations was 10.49 minutes, compared to 9.64 minutes for non-complex consultations. The proportion of complex consultations was similar in males and females but increased with age.

CONCLUSION

The present consultation complexity measure has face and construct validity. It may be useful for research, management and policy, and for informing decisions about the range of resources needed in different practices.

Development and validation of a score to assess complexity of general internal medicine patients at hospital discharge: a prospective cohort study

OBJECTIVE

We aimed to develop and validate a score to assess inpatient complexity and compare its performance with two currently used but not validated tools to estimate complexity (ie, Charlson Comorbidity Index (CCI), patient clinical complexity level (PCCL)).

METHODS

Consecutive patients discharged from the department of medicine of a tertiary care hospital were prospectively included into a derivation cohort from 1 October 2016 to 16 February 2017 (n=1407), and a temporal validation cohort from 17 February 2017 to 31 March 2017 (n=482). The physician in charge assessed complexity. Potential predictors comprised 52 parameters from the electronic health record such as health factors and hospital care usage. We fit a logistic regression model with backward selection to develop a prediction model and derive a score. We assessed and compared performance of model and score in internal and external validation using measures of discrimination and calibration.

RESULTS

Overall, 447 of 1407 patients (32%) in the derivation cohort, and 116 of 482 patients (24%) in the validation cohort were identified as complex. Eleven variables independently associated with complexity were included in the score. Using a cut-off of ≥24 score points to define high-risk patients, specificity was 81% and sensitivity 57% in the validation cohort. The score's area under the receiver operating characteristic (AUROC) curve was 0.78 in both the derivation and validation cohort. In comparison, the CCI had an AUROC between 0.58 and 0.61, and the PCCL between 0.64 and 0.69, respectively.

CONCLUSIONS

We derived and internally and externally validated a score that reflects patient complexity in the hospital setting, performed better than other tools and could help monitoring complex patients.

Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data

We aimed to examine the complex relationships between patient safety processes and outcomes and multimorbidity using a comprehensive set of constructs: multimorbidity, polypharmacy, discordant comorbidity (diseases not sharing either pathogenesis nor management), morbidity burden and patient complexity. We used cross-sectional data from 4782 patients in 69 primary care centres in Spain. We constructed generalized structural equation models to examine the associations between multimorbidity constructs and patient-reported patient safety (PREOS-PC questionnaire). These associations were modelled through direct and indirect (mediated by increased interactions with healthcare) pathways. For women, a consistent association between higher levels of the multimorbidity constructs and lower levels of patient safety was observed via either pathway. The findings for men replicated these observations for polypharmacy, morbidity burden and patient complexity via indirect pathways. However, direct pathways showed unexpected associations between higher levels of multimorbidity and better safety. The consistent association between multimorbidity constructs and worse patient safety among women makes it advisable to target this group for the development of interventions, with particular attention to the role of comorbidity discordance. Further research, particularly qualitative research, is needed for clarifying the complex associations among men.

Clustering Complex Chronic Patients: A Cross-Sectional Community Study From the General Practitioner's Perspective

Objective:

Characterize subgroups of Complex Chronic Patients (CCPs) with cluster analysis from the general practitioner’s perspective.

Study design:

Cross-sectional population-based study.

Setting:

Three Primary Care urban centres for a reference population of 43,647 inhabitants over 14 years old in Sabadell, Catalonia, Spain.

Methods:

Complexity is defined by the independent clinical judgment of general practitioners with the aid of complexity domains (both clinical and social). We used a Two-Step Cluster method to identify relevant subgroups of CCPs.

Results:

Three relevant subgroups were identified. The first one was mainly managed by primary care professionals, and 63% of its CCPs belonged to the high-risk stratum of the Adjusted Morbidity Groups (GMA). The second subgroup included younger patients than the other two clusters, and showed the highest ratios of social deprivation and severe mental disease; 48% of its CCPs belonged to the high-risk stratum of the GMA. A third cluster included patients who belonged to the high-risk stratum of the GMA. Their age was similar to that of the patients in the first cluster, but they showed the highest values in the following areas: (i) risk of admission; (ii) proportion of advanced chronic disease and limited-life prognosis; (iii) functional loss and (iv) geriatric syndromes, along with special uncertainty in decision-making and clinical management.

Conclusions:

Characterization of CCPs shows clearly distinct profiles of needs, which provides an improved epidemiological picture by identifying clusters of patients who are likely to benefit from targeted interventions.

"Eyes in the Home": Addressing Social Complexity in Veterans Affairs Home-Based Primary Care

BACKGROUND

Home-Based Primary Care (HBPC) has demonstrated success in decreasing risk of hospitalization and improving patient satisfaction through patient targeting and integrating long-term services and supports. Less is known about how HBPC teams approach social factors.

OBJECTIVE

Describe HBPC providers' knowledge of social complexity among HBPC patients and how this knowledge impacts care delivery.

DESIGN, SETTING, AND PARTICIPANTS

Between 2018 and 2019, we conducted in-person semi-structured interviews with 14 HBPC providers representing nursing, medicine, physical therapy, pharmacy, and psychology, at an urban Veterans Affairs (VA) medical center. We also conducted field observations of 6 HBPC team meetings and 2 home visits.

APPROACH

We employed an exploratory, content-driven approach to qualitative data analysis.

RESULTS

Four thematic categories were identified: (1) HBPC patients are socially isolated and have multiple layers of medical and social complexity that compromise their ability to use clinic-based care; (2) providers having "eyes in the home" yields essential information not accessible in outpatient clinics; (3) HBPC fills gaps in instrumental support, many of which are not medical; and (4) addressing social complexity requires a flexible care design that HBPC provides.

CONCLUSION AND RELEVANCE

HBPC providers emphasized the importance of having "eyes in the home" to observe and address the care needs of homebound Veterans who are older, socially isolated, and have functional limitations. Patient selection criteria and discharge recommendations for a resource-intensive program like VA HBPC should include considerations for the compounding effects of medical and social complexity. Additionally, staffing that provides resources for these effects should be integrated into HBPC programming.

A scoping Review of tools used to assess patient Complexity in rheumatic disease

OBJECTIVE

Patients with rheumatic diseases often have multiple comorbidities which may impact well-being leading to high psychosocial complexity. This scoping review was undertaken to identify complexity measures/tools used in rheumatology that could help in planning and coordinating care.

METHODS

MEDLINE, EMBASE and CINAHL were searched from database inception to 14 December 2019 using keywords and Medical Subject Headings for "care coordination", "complexity" and selected rheumatic diseases and known complexity measures/tools. Articles describing the development or use of complexity measures/tools in patients with adult rheumatologic diagnoses were included regardless of study design. Included articles were evaluated for risk of bias where applicable.

RESULTS

The search yielded 407 articles, 37 underwent full-text review and 2 were identified during a hand search with 9 included articles. Only 2 complexity tools used in populations of adult patients with rheumatic disease were identified: the SLENQ and the INTERMED. The SLENQ is a 97-item patient needs questionnaire developed for patients with systemic lupus (n = 1 study describing tool development) and applied in 5 cross-sectional studies. Three studies (a practice article, trial and a cross-sectional study) applied the INTERMED, a clinical interview to ascertain complexity and support coordinated care, in patients with rheumatologic diagnoses.

CONCLUSIONS

There is limited information on the use of patient complexity measures/tools in rheumatology. Such tools could be applied to coordinate multidisciplinary care and improve patient experience and outcomes.

PATIENT CONTRIBUTION

This scoping review will be presented to patient research partners involved in co-designing a future study on patient complexity in rheumatic disease.

Tooling nurses to assess complexity in routine home care practice: Derivation of a complexity index from the interRAI-HC

AIM

Home care nurses often use the Resident Assessment Instrument-Home Care (interRAI-HC) to assess health needs. However, this tool does not assess complexity. This study proposes to derive a complexity index (CI) from the interRAI-HC using the operational definition of the dedicated COMID checklist (COmplexité Multidimensionnelle des prises en soins Infirmières à Domicile).

DESIGN

Data were collected at the baseline assessment of the fraXity study (N = 231, aged ≥ 65), which relied on an observational longitudinal design.

METHODS

Measures were the interRAI-HC, from which the CI binary variables were computed and the COMID, used as a reference.

RESULTS

Twenty-six CI variables were computed from the interRAI-HC, and all but three correlations were significant. The correlation between the CI score and the COMID score was ρ = 0.730 (p < .001).

CONCLUSIONS

The study demonstrates that complexity can be assessed directly from the interRAI-HC by deriving a CI.

Assessing Face Validity of the HexCom Model for Capturing Complexity in Clinical Practice: A Delphi Study

Capturing complexity is both a conceptual and a practical challenge in palliative care. The HexCom model has proved to be an instrument with strong reliability and to be valid for describing the needs and strengths of patients in home care. In order to explore whether it is also perceived to be helpful in enhancing coordinated and patient-centred care at a practical level, a methodological study was carried out to assess the face validity of the model. In particular, a Delphi method involving a group of 14 experts representing the full spectrum of healthcare professionals involved in palliative care was carried out. The results show that there is a high level of agreement, with a content validity index-item greater than 0.92 both with regard to the complexity model and the HexCom-Red, HexCom-Basic, and the HexCom-Clin instruments, and higher than 0.85 regarding the HexCom-Figure and the HexCom-Patient instruments. This consensus confirms that the HexCom model and the different instruments that are derived from it are valued as useful tools for a broad range of healthcare professional in coordinately capturing complexity in healthcare practice.

Frailty, Complexity, and Priorities in the Use of Advanced Palliative Care Resources in Nursing Homes

Background and objectives: This study aimed to determine the frailty, prognosis, complexity, and palliative care complexity of nursing home residents with palliative care needs and define the characteristics of the cases eligible for receiving advanced palliative care according to the resources available at each nursing home. Materials and Methods: In this multi-centre, descriptive, and cross-sectional study, trained nurses from eight nursing homes in southern Spain selected 149 residents with palliative care needs. The following instruments were used: the Frail-VIG index, the case complexity index (CCI), the Diagnostic Instrument of Complexity in Palliative Care (IDC-Pal), the palliative prognosis index, the Barthel index (dependency), Pfeiffer's test (cognitive impairment), and the Charlson comorbidity index. A consensus was reached on the complexity criteria of the Diagnostic Instrument of Complexity in Palliative Care that could be addressed in the nursing home (no priority) and those that required a one-off (priority 2) or full (priority 1) intervention of advanced palliative care resources. Non-parametric tests were used to compare non-priority patients and patients with some kind of priority. Results: A high percentage of residents presented frailty (80.6%), clinical complexity (80.5%), and palliative care complexity (65.8%). A lower percentage of residents had a poor prognosis (10.1%) and an extremely poor prognosis (2%). Twelve priority 1 and 14 priority 2 elements were identified as not matching the palliative care complexity elements that had been previously identified. Of the studied cases, 20.1% had priority 1 status and 38.3% had priority 2 status. Residents with some kind of priority had greater levels of dependency (p < 0.001), cognitive impairment (p < 0.001), and poorer prognoses (p < 0.001). Priority 1 patients exhibited higher rates of refractory delirium (p = 0.003), skin ulcers (p = 0.041), and dyspnoea (p = 0.020). Conclusions: The results indicate that there are high levels of frailty, clinical complexity, and palliative care complexity in nursing homes. The resources available at each nursing home must be considered to determine when advanced palliative care resources are required.

Trading-Off Machine Learning Algorithms towards Data-Driven Administrative-Socio-Economic Population Health Management

Together with population ageing, the number of people suffering from multimorbidity is increasing, up to more than half of the population by 2035. This part of the population is composed by the highest-risk patients, who are, at the same time, the major users of the healthcare systems. The early identification of this sub-population can really help to improve people’s quality of life and reduce healthcare costs. In this paper, we describe a population health management tool based on state-of-the-art intelligent algorithms, starting from administrative and socio-economic data, for the early identification of high-risk patients. The study refers to the population of the Local Health Unit of Central Tuscany in 2015, which amounts to 1,670,129 residents. After a trade-off on machine learning models and on input data, Random Forest applied to 1-year of historical data achieves the best results, outperforming state-of-the-art models. The most important variables for this model, in terms of mean minimal depth, accuracy decrease and Gini decrease, result to be age and some group of drugs, such as high-ceiling diuretics. Thanks to the low inference time and reduced memory usage, the resulting model allows for real-time risk prediction updates whenever new data become available, giving General Practitioners the possibility to early adopt personalised medicine.

An Adapted Conceptual Model Integrating Palliative Care in Serious Illness and Multiple Chronic Conditions

OBJECTIVE

Seriously ill adults with multiple chronic conditions (MCC) who receive palliative care may benefit from improved symptom burden, health care utilization and cost, caregiver stress, and quality of life. To guide research involving serious illness and MCC, palliative care can be integrated into a conceptual model to develop future research studies to improve care strategies and outcomes in this population.

METHODS

The adapted conceptual model was developed based on a thorough review of the literature, in which current evidence and conceptual models related to serious illness, MCC, and palliative care were appraised. Factors contributing to patients' needs, services received, and service-related variables were identified. Relevant patient outcomes and evidence gaps are also highlighted.

RESULTS

Fifty-eight articles were synthesized to inform the development of an adapted conceptual model including serious illness, MCC, and palliative care. Concepts were organized into 4 main conceptual groups, including Factors Affecting Needs (sociodemographic and social determinants of health), Factors Affecting Services Received (health system; research, evidence base, dissemination, and health policy; community resources), Service-Related Variables (patient visits, service mix, quality of care, patient information, experience), and Outcomes (symptom burden, quality of life, function, advance care planning, goal-concordant care, utilization, cost, death, site of death, satisfaction).

DISCUSSION

The adapted conceptual model integrates palliative care with serious illness and multiple chronic conditions. The model is intended to guide the development of research studies involving seriously ill adults with MCC and aid researchers in addressing relevant evidence gaps.