COMPRI—An Instrument to Detect Patients With Complex Care Needs: Results From a European Study

Huyse, Frits J.; Jonge, Peter de; Slaets, Joris P. J.; Herzog, Thomas; Lobo, Antonio; Lyons, John S.; Opmeer, Brent C.; Stein, Barbara; Arolt, Volker; Balogh, Nándor; Cardoso, Graça; Fink, Per; Rigatelli, Marco

doi:10.1176/appi.psy.42.3.222

Cited by 79 publications

(66 citation statements)

References 30 publications

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“…This association is possibly also reflected in the expected care complexity, as recorded with COMPRI. This instrument gives an indication of expected medical and nursing care complexity, length of stay and postdischarge care needs (Huyse et al, 2001). In malnourished patients, the expected care complexity was higher than in well-nourished patients.…”

Section: Discussionmentioning

confidence: 99%

“…This risk profile included potential risk factors influencing nutritional status, that is (i) data regarding medical diagnosis and medical history, (ii) age, gender, marital status, functional status and emotional status (SF36) (Aaronson et al, 1998), (iii) expected care complexity (COMPRI) (Huyse et al, 2001) and mood (POMS, Profile of Mood Scale) (McNair et al, 1981). Medical information was retrieved from medical records, discharge letters and the electronic hospital information system ZIS.…”

Section: Methodsmentioning

confidence: 99%

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Profile of the malnourished patient

2005

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Objective: To characterize malnutrition in a nonspecific group of newly admitted hospital patients. Design: A prospective, descriptive study aiming to identify typical symptoms of malnutrition in a heterogeneous population of newly admitted patients to the wards of internal medicine. Setting: The wards of internal medicine of the VU University Medical Center. Subjects: A total of 106 patients were included in the study, 70 patients underwent the full interview. Next to nutritional status, the sociodemographics, underlying disease, estimated care complexity, care situation before admission, journey through the care system, nutritional intervention and nutritional follow-up after discharge were described for each patient. Results: Of 70 patients 24 (34%) were malnourished. Malnourished patients suffered two chronic diseases vs one for wellnourished patients (P ¼ 0.05). They also had a higher estimated care complexity (P ¼ 0.035) and a trend towards longer length of hospital stay (P ¼ 0.09). Malnourished patients did not differ from well-nourished patients in age, sex, partner status and care received at home. In all, 54% of the malnourished patients were identified correctly by the medical staff. The reasons for admission to the hospital were diverse in only four out of 24 patients malnutrition was the primary reason for admission. Discharge letters to the general practitioner (GP) contained only fragmentary information about the patients' nutritional status. At 3 months after discharge, most of the GPs were scarcely aware of any nutritional problems of their patients. Conclusions: Malnutrition is difficult to recognize in a nonspecific hospital population. Patients do not present with unique symptoms indicating malnutrition. To be able to correctly identify all malnourished patients, screening of the nutritional status of all newly admitted patients seems to be necessary.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Profile of the malnourished patient

2005

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“…A positive test would thus have to be combined with a clinical assessment or a structured interview, as for example the COMPRI [51], to make psychiatric diagnoses [18,52,53]. A later paper will explore the usefulness of an extended scale that includes separate depression and anxiety subscales.…”

Section: Discussionmentioning

confidence: 99%

A brief diagnostic screening instrument for mental disturbances in general medical wards

Fink

Ørnbøl

Huyse

et al. 2004

Journal of Psychosomatic Research

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“…In our two companion articles in this issue, risk factors for care complexity and an instrument to predict care complexity are described. 32,33 …”

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Care Complexity in the General Hospital Results From a European Study

et al. 2001

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There is increasing pressure to effectively treat patients with complex care needs from the moment of admission to the general hospital. In this study, the authors developed a measurement strategy for hospital-based care complexity. The authors' four-factor model describes the interrelations between complexity indicators, highlighting differences between length of stay (LOS), objective complexity (such as medications or consultations), complexity ratings by the nurse, and complexity ratings by the doctor. Their findings illustrate limitations in the use of LOS as

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COMPRI—An Instrument to Detect Patients With Complex Care Needs: Results From a European Study

Cited by 79 publications

References 30 publications

Profile of the malnourished patient

Profile of the malnourished patient

A brief diagnostic screening instrument for mental disturbances in general medical wards

Care Complexity in the General Hospital Results From a European Study

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