Reliable integrative assessment of health care needs in elderly persons: the INTERMED for the Elderly (IM-E)

Objective

With the increasing prevalence of multiple conditions in older age, the high prevalence of mental disorders, and the many social challenges facing elderly people, a high-risk patient group in need of interdisciplinary (biological, psychological, and social) care is emerging. The INTERMED interview is an integrative assessment method that identifies patients with complex health care needs. The aim of this study was to develop and evaluate the INTERMED for the Elderly (IM-E), specifically for use in populations of elderly persons.

Methods

In focus groups conducted with the authors of the original INTERMED, the variables and anchor points that had to be adjusted to the needs and situation of the elderly and to the demands of a population-based study were discussed and altered. The final version of the IM-E was conducted with 42 elderly persons. Participants were doubly scored by two trained raters; the interrater reliability [intraclass correlation coefficient (ICC) (2,1)] was calculated.

Results

The IM-E was well accepted by the elderly persons interviewed. ICCs for the various domains of the IM-E ranged between .87 and .95, while the ICC for the sum score was .95. Regarding the cutoff point of 20/21 for patients with complex health care needs, a κ of .75 was achieved.

Conclusions

The IM-E is a reliable integrative assessment instrument. It is well suited for epidemiological settings to adequately describe the percentage of elderly patients with complex health care needs. In clinical settings, it can be used to identify elderly patients in need of interdisciplinary care.     

Identification of case complexity and increased health care utilization in patients with rheumatoid arthritis

Objectives To document biopsychosocial profiles of patients with rheumatoid arthritis (RA) by means of the INTERMED and to correlate the results with conventional methods of disease assessment and health care utilization.

Methods

Patients with RA (n = 75) were evaluated with the INTERMED, an instrument for assessing case complexity and care needs. Based on their INTERMED scores, patients were compared with regard to severity of illness, functional status, and health care utilization.

Results

In cluster analysis, a 2‐cluster solution emerged, with about half of the patients characterized as complex. Complex patients scoring especially high in the psychosocial domain of the INTERMED were disabled significantly more often and took more psychotropic drugs. Although the 2 patient groups did not differ in severity of illness and functional status, complex patients rated their illness as more severe on subjective measures and on most items of the Medical Outcomes Study Short Form 36. Complex patients showed increased health care utilization despite a similar biologic profile.

Conclusions

The INTERMED identified complex patients with increased health care utilization, provided meaningful and comprehensive patient information, and proved to be easy to implement and advantageous compared with conventional methods of disease assessment. Intervention studies will have to demonstrate whether management strategies based on INTERMED profiles can improve treatment response and outcome of complex patients.

     

A method to provide integrated care for complex medically ill patients: the INTERMED

A growing number of nursing subspecializations have been developed in recent decades. Topics of concern are that care is not tailored to cope with the growing number of patients with more than one chronic disease, there is an increase in co-ordination problems in the care that is provided for this group of complex patients, and the care for these complex patients is extremely fragmented. The assessment of health risks resulting in co-ordinated care with effective communication is vital for multimorbid patients. Our aim is to describe a systematic approach (the INTERMED [IM] method) to identify complex patients who are in need of integrated care and its applicability to the nursing process. We demonstrate the ability of the IM method to quantify, weigh, and classify the complexity of problems. The method is applied in Europe and will be started in the USA in a pharmacy program. The IM is presented as a decision-support system for multidisciplinary teams with nurse co-ordinators.     

A simple risk score predicts poor quality of life and non-survival at 1 year follow-up in dialysis patients.

BACKGROUND: Quality of life (QoL) in end-stage renal disease patients has become an important focus of attention in evaluating dialysis. We studied risk factors of poor QoL at 1 year follow-up. METHODS: Of a baseline sample of 80 dialysis patients, we contacted 60 patients who were alive at 1 year follow-up. QoL data were obtained for 46 (76.7%) of these patients. QoL measured with the SF-36 [physical health component score (PCS) and mental health component score (MCS)] at 1 year-follow-up was predicted by means of multivariate regression analysis by data collected at baseline using INTERMED-an observer-rated method to assess biopsychosocial care needs-and several indicators for disease severity and comorbidity. RESULTS: The regression models explained 32% of the variance in PCS and 40% in MCS. INTERMED score (P < 0.01) was the only independent risk factor for low MCS, while for low PCS, diabetic comorbidity (P = 0.02) and age (P = 0.03) were independent risk factors. A simple risk score consisting of INTERMED > or =21, diabetic comorbidity and age > or =65 was significantly correlated with non-survival (P = 0.02) and with PCS (P < 0.01) and MCS (P < 0.01) in surviving patients, although not with hospital admissions during follow-up. CONCLUSIONS: A simple risk score based on INTERMED, age (> or =65) and comorbid diabetes (yes/no) can be used to detect patients at risk of poor QoL and non-survival at an early stage of treatment.     

Rehabilitation outcomes for orthopaedic trauma individuals as measured by the INTERMED

Purpose.?Bio-psychosocial characteristics of patients after orthopaedic traumas may be a strong predictor of poor outcome. The objective of this prospective study was to assess whether the INTERMED, a measure of bio-psychosocial complexity, identifies complex inpatients during rehabilitation including vocational aspects with a poor outcome 1 year after discharge.

Method.?At entry, the INTERMED scores of 118 inpatients were used to assign patients to the high or low complexity group. A questionnaire evaluated 1 year after discharge whether patients: (1) returned to work, (2) still have therapies, (3) take psychoactive drugs, (4) take medication against pain and (5) were satisfied with vocational therapy. Univariate logistic regressions identified which variables predict INTERMED case complexity during hospitalisation as well as predictors (i.e. INTERMED case complexity, French as preferred language, duration of the disability, accident at work, work qualification, severity of the injury, psychiatric co-morbidities, pain) of the five measured outcomes 1 year after discharge.

Results.?During hospitalisation, the high complexity group was associated with a high prevalence of psychiatric co-morbidities, a higher level of pain and a weaker perception of treatment effects. One year after discharge, the INTERMED was the sole variable to predict all outcomes.

Conclusion.?The INTERMED identifies complex patients during vocational rehabilitation after orthopaedic trauma and is a good predictor of poor outcome 1 year after discharge.