Are our patients becoming more complex? Trends in comorbidity and functional dependence in General Medicine 2011-2019

BACKGROUND

Anecdotally, patients don't seem to be more unwell than they were 10 years ago, yet they still seem more 'complex'.

AIMS

The aim of this study was to use an objective measure to assess the trend in complexity of general medicine patients over a 9-year period.

METHODS

Complexity was pragmatically defined as a composite of comorbidity plus dependence/frailty. We selected 100 consecutive patients discharged from General Medicine at Monash Medical Centre (a tertiary hospital in Melbourne, Australia) in the month of April of each year from 2011 to 2019. For each patient, we retrospectively calculated their burden of comorbidity and their degree of dependency/frailty. Comorbidity was measured using the Charlson Comorbidity Index (CCI), and dependence/frailty was assessed using the Katz Index of Independence in Activities of Daily Living (Katz ADL) and the Braden Scale (BS). The BS is a pressure injury risk assessment tool. Additional demographic data were collected, including length of stay, admission and discharge residence, 30-day readmission rate and inpatient mortality.

RESULTS

There was no statistically significant change in the CCI or the Katz ADL. The median BS did however significantly decrease from 19 in 2011 to 16 in 2019 (P = 0.006), reflecting an increased risk of pressure injuries.

CONCLUSIONS

Despite a stable level of comorbidity, our finding of a decreasing BS score may suggest that patients are becoming more dependent. This increase in dependency rather than a change in chronic disease burden may be the cause of apparent increasing patient complexity.

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.

Biopsychosocial complexity in patients scheduled for elective TKA surgery: A feasibility pilot study with the INTERMED self-assessment questionnaire

OBJECTIVE

Primary aim; to determine the feasibility of implementation of the INTERMED Self-Assessment (IM-SA) in adult patients scheduled for total knee arthroplasty (TKA). Secondary aim; to measure biopsychosocial complexity, referral to psychiatry or psychology in cases of complexity and to gain insight into the relation between biopsychosocial complexity and length of stay (LOS), method of discharge (MOD) and polypharmacy.

METHODS

A feasibility study was conducted with 76 participants in a general hospital in the Netherlands. Feasibility was determined by the number of completed questionnaires, time spent completing the questionnaire and the attitude of staff and patients towards the IM-SA. A cut off point ≥19 on the IM-SA was used to determine the prevalence of biopsychosocial complexity. A case file study was performed to check if referral to psychiatry or psychology had taken place. The Spearman's Rank Correlation Coefficient or Phi was used to determine if there was a relation between biopsychosocial complexity and LOS, MOD and polypharmacy.

RESULTS

All participants completed the IM-SA. The average time spent completing the questionnaire was 11.46 min (SD 5.74). The attitude towards the IM-SA was positive. The prevalence of biopsychosocial complexity was 11.84%. Referral to psychiatry or psychology did not take place. There was no relation between complexity and LOS (Spearman's rho (r) = 0.079, p = 0.499, MOD (Phi = 0.169, p = 0.173) and polypharmacy (Phi = 0.007, p = 0.953).

CONCLUSION

Biopsychosocial complexity can be identified in TKA patients during the pre-operative phase by using the IM-SA. Implementation of the IM-SA in a Dutch general hospital is feasible.

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.

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.

Medical Rehabilitation Need, Case Complexity, and Related Issues among Patients in an Acute Stroke Rehabilitation Setting

This narrative review introduces case complexity and medical rehabilitation needs in a stroke rehabilitation setting, and proposes methods to more efficiently enhance functional recovery in the acute stage after stroke onset. Therapists may measure a construct of individual need complexity around and beyond the basic and common needs for medical necessity, and thereby screen acute patients who could benefit more from additional rehabilitation inputs. This review also describes the clinical significance of medical rehabilitation needs and challenges for efficient stroke rehabilitation. Overall, we propose that challenging research trials should be conducted to compare the effectiveness of the arrangement of rehabilitation service allocation based on needs assessment after stroke with the usual care pathway.

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.

Psychometric validation of the Italian Rehabilitation Complexity Scale-Extended version 13

In Italy, at present, a well-known problem is inhomogeneous provision of rehabilitative services, as stressed by MoH, requiring appropriate criteria and parameters to plan rehabilitation actions. According to the Italian National Rehabilitation Plan, Comorbidity, Disability and Clinical Complexity should be assessed to define the patient's real needs. However, to date, clinical complexity is still difficult to measure with shared and validated tools. The study aims to psychometrically validate the Italian Rehabilitation Complexity Scale-Extended v13 (RCS-E v13), in order to meet the guidelines requirements. An observational multicentre prospective cohort study, involving 8 intensive rehabilitation facilities of the Emilia-Romagna Region and 1712 in-patients, [823 male (48%) and 889 female (52%), mean age 68.34 years (95% CI 67.69-69.00 years)] showing neurological, orthopaedic and cardiological problems, was carried out. The construct and concurrent validity of the RCS-E v13 was confirmed through its correlation to Barthel Index (disability) and Cumulative Illness Rating Scale (comorbidity) and appropriate admission criteria (not yet published), respectively. Furthermore, the factor analysis indicated two different components ("Basic Care or Risk-Equipment" and "Medical-Nursing Needs and Therapy Disciplines") of the RCS-E v13. In conclusion, the Italian RCS-E v13 appears to be a useful tool to assess clinical complexity in the Italian rehab scenario case-mix and its psychometric validation may have an important clinical rehabilitation impact allowing the assessment of the rehabilitation needs considering all three dimensions (disability, comorbidity and clinical complexity) as required by the Guidelines and the inhomogeneity could be reduced.

The biopsychosocial model of illness: a model whose time has come

The biopsychosocial model outlined in Engel’s classic Science paper four decades ago emerged from dissatisfaction with the biomedical model of illness, which remains the dominant healthcare model. Engel’s call to arms for a biopsychosocial model has been taken up in several healthcare fields, but it has not been accepted in the more economically dominant and politically powerful acute medical and surgical domains. It is widely used in research into complex healthcare interventions, it is the basis of the World Health Organisation’s International Classification of Functioning (WHO ICF), it is used clinically, and it is used to structure clinical guidelines. Critically, it is now generally accepted that illness and health are the result of an interaction between biological, psychological, and social factors. Despite the evidence supporting its validity and utility, the biopsychosocial model has had little influence on the larger scale organization and funding of healthcare provision. With chronic diseases now accounting for most morbidity and many deaths in Western countries, healthcare systems designed around acute biomedical care models are struggling to improve patient-reported outcomes and reduce healthcare costs. Consequently, there is now a greater need to apply the biopsychological model to healthcare management. The increasing proportion of healthcare resource devoted to chronic disorders and the accompanying need to improve patient outcomes requires action; better understanding and employment of the biopsychosocial model by those charged with healthcare funding could help improve healthcare outcome while also controlling costs.

Validity and reliability of the Patient Centred Assessment Method for patient complexity and relationship with hospital length of stay: a prospective cohort study

OBJECTIVES

Several instruments for evaluating patient complexity have been developed from a biopsychosocial perspective. Although relationships between the results obtained by these instruments and the length of stay in hospital have been examined, many instruments are complicated and not easy to use. The Patient Centred Assessment Method (PCAM) is a candidate for practical use. This study aimed to test the validity and reliability of the PCAM and examine the correlations between length of hospital stay and PCAM scores in a regional secondary care hospital in Japan.

DESIGN

Prospective cohort study.

PARTICIPANTS AND SETTING

Two hundred and one patients admitted to Ouji Coop Hospital between July 2014 and September 2014.

MAIN PREDICTOR

PCAM total score in initial phase of hospital admission.

MAIN OUTCOME

Length of stay in hospital.

RESULTS

Among 201 patients (Female/Male=98/103) with mean (SD) age of 77.4±11.9 years, the mean PCAM score was 25±7.3 and mean (SD) length of stay in hospital (LOS) 34.1±40.9 days. Using exploratory factor analysis to examine construct validity, PCAM evidently has a two-factor structure, comprising medicine-oriented and patient-oriented complexity. The Spearman rank correlation coefficient for evaluating criterion-based validity between PCAM and INTERMED was 0.90. For reliability, Cronbach's alpha was 0.85. According to negative binomial regression analyses, PCAM scores are a statistically significant predictor (p<0.001) of LOS after adjusting for age, gender, Mini Nutritional Assessment Short-Form, Charlson Comorbidity Index, serum sodium concentration, total number of medications and whether public assistance was required. In another model, each factor in PCAM was independently correlated with length of stay in hospital after adjustment (medicine-oriented complexity: p=0.001, patient-oriented complexity: p=0.014).

CONCLUSION

PCAM is a reliable and valid measurement of patient complexity and PCAM scores have a significant correlation with hospital length of stay.

Assessment of primary rehabilitation needs in neurological rehabilitation: translation, adaptation and face validity of the Danish version of Rehabilitation Complexity Scale-Extended

BACKGROUND

Assessing primary rehabilitation needs in patients with acquired brain injury is a challenge due to case complexity and the heterogeneity of symptoms after brain injury. The Rehabilitation Complexity Scale-Extended (RCS-E) is an instrument used in assessment of rehabilitation complexity in patients with severe brain injury. The aim of the present study was to translate and test the face validity of the RCS-E as a referral tool for primary rehabilitation. Face validity was tested in a sample of patients with acquired brain injury.

METHODS

Ten clinicians and records from 299 patients with acquired brain injury were used in the translation, cross-cultural adaptation and face validation study of the RCS-E. RCS-E was translated into Danish by a standardized forward-backward translation by experts in the field. Face validity was assessed by a multi-professional team assessing 299 patients. The team was asked their opinion on whether the RCS-E presents a sufficient description of the patients.

RESULTS

The RCS-E was translated according to international guidelines and tested by health professionals; some adaptations were required due to linguistic problems and differences in the national health system structures. The patients in the study had a mean age of 63.9 years (SD 14.7); 61 % were male. We found an excellent face validity with a mean score of 8.2 (SD 0.34) assessed on a 0-10 scale.

CONCLUSIONS

The RCS-E demonstrated to be a valid assessment of primary rehabilitation needs in patients with acquired brain injury. Excellent face validity indicates that the RCS-E is feasible for assessing primary rehabilitation needs and the present study suggests its applicability to the Danish health care system.

Rehabilitation - a new approach. Part two: the underlying theories

This editorial considers how healthcare systems should approach the problems associated with ongoing, persistent symptoms and limitations on a person's ability to undertake activities. It starts from the premise, established in the first editorial, that the current reliance on the biomedical model of health and illness is no longer 'fit for purpose', and is one major cause of current difficulties within the health service. Among other problems, it may lead to the marginalisation of rehabilitation services, especially when resources are limited. This editorial describes and then highlights the implications of the holistic, biopsychosocial model of illness. It also outlines the rehabilitation process, demonstrating its similarity to the process used by medical services, with the primary difference being the centre of attention: disease for medical service, disability for rehabilitation services. The model of rehabilitation emphasises: the importance of being patient-centred and goal-directed in rehabilitation; the need for liaison by the team and learning by the patient; and that the patient needs to be encouraged and enabled to practice wanted activities.

Referral decision support in patients with subacute brain injury: evaluation of the Rehabilitation Complexity Scale - Extended

PURPOSE

To test if the Rehabilitation Complexity Scale Extended (RCS-E) can be used as decision support for patient referral to primary rehabilitation as either complex specialized services (CSS) or district specialist services (DSS).

METHOD

Two independent expert teams analyzed medical records on 299 consecutive patients admitted for CSS or DSS rehabilitation. One team provided a golden standard for the patient referrals, and the other team provided RCS-E scores. Models for predicting referrals from RCS-E scores were developed on data for 149 patients and tested on the remaining 150 patients.

RESULTS

The optimal RCS-E sum score threshold for referral prediction was 11, predicting the golden standard for patient referral with sensitivity 88%, specificity 78% and correct classification rate 81%. Improved referral prediction performance was achieved by using RCS-E item-wise score thresholds (sensitivity 81%, specificity 89%, correct classification rate 87%). The RCS-E sum score range for patients referred CSS and DSS by the item-wise model was, respectively, 0-12 and 2-22 suggesting strong non-linear interaction of the RCS-E items.

CONCLUSIONS

We found excellent referral decision support in the RCS-E and the item specific threshold model, when patients with acquired brain injury are to be referred to CSS or DSS as their primary rehabilitation. Implications for Rehabilitation Efficient rehabilitation after acquired brain injury requires rehabilitation settings that meet patient needs. Validated tools for referral decision support make the process more transparent. Patient rehabilitation complexity can be stratified by the RCS-E with high sensitivity, specificity and predictive value of positive test. RCS-E is an excellent tool for referral decision support.