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Patient–clinician communication is central to mental healthcare but neglected in research.
Aims
To test a new computer-mediated intervention structuring patient–clinician dialogue (DIALOG) focusing on patients' quality of life and needs for care.
Method
In a cluster randomised controlled trial, 134 keyworkers in six countries were allocated to DIALOG or treatment as usual; 507 people with schizophrenia or related disorders were included. Every 2 months for 1 year, clinicians asked patients to rate satisfaction with quality of life and treatment, and request additional or different support. Responses were fed back immediately in screen displays, compared with previous ratings and discussed. Primary outcome was subjective quality of life, and secondary outcomes were unmet needs and treatment satisfaction.
Results
Of 507 patients, 56 were lost to follow-up and 451 were included in intention-to-treat analyses. Patients receiving the DIALOG intervention had better subjective quality of life, fewer unmet needs and higher treatment satisfaction after 12 months.
Conclusions
Structuring patient–clinician dialogue to focus on patients' views positively influenced quality of life, needs for care and treatment satisfaction.
To identify risk factors predictive of nosocomial infection in an intensive-care unit (ICU) and to identify patients with a higher risk of nosocomial infection using a predictive model of nosocomial infection in our ICU.
Design:
Prospective study; daily concurrent surveillance of intensive-care-unit patients.
Setting/Patients:
All patients admitted for at least 24 hours to the ICU of a tertiary-level hospital from February to November 1994 were followed daily.
Methods:
Variables measuring extrinsic and intrinsic risk factors for nosocomial infection were collected on each patient during their ICU stay, and the Cox Proportional Hazards multivariable technique was used to identify the variables significantly associated with infection.
Results:
The population studied consisted of 944 patients. The main risk factors identified were intrinsic; the significant extrinsic risk ofactors identified were head of the bed in a horizontal (<30°) position (this variable presented the highest increase of the infection hazard ratio) and the use of sedative medication. Patients presenting the highest risk scores using the predictive model are those with the highest risk of nosocomial infection.
Conclusion:
The important preventive measures derived from our results are that underlying conditions suffered by the patient at the ICU admission should be corrected promptly, the depression of the patient's level of consciousness with sedatives should be monitored carefully, and the horizontal position of the head of the bed should be avoided totally. Patients with a high risk of infection can be the target of special preventive measures.
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