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1.
Rev Epidemiol Sante Publique ; 49(4): 367-75, 2001 Sep.
Article in French | MEDLINE | ID: mdl-11567203

ABSTRACT

BACKGROUND: The modified French version of the Appropriateness Evaluation Protocol (AEPf) has been validated. Inappropriate days according to simple medical and technical criteria are identified with this tool. The aim of this study is to highlight the interest of investigating the reasons for inappropriate days and to assess the inter-observers reliability of the questionnaire developed for this purpose. METHODS: This questionnaire collects on one hand the needs of patients - distinguishing health care and accommodation needs - and on the other hand the reasons for inappropriate hospital days. The data were collected from January to September 1998 in nine voluntary medical and surgical departments. For each day of study randomly selected, each inappropriate hospital day according to AEPf has been included. Data were collected by two health professionals (a nurse and a physician), using a concurrent design. RESULTS: The reliability of the over-ride option of the appropriateness assessment of the 345 hospital days was good (overall Kappa coefficient: 0.66; 95% CI: 0.55-0.78). The comparison of the two expert judgments on health care needs fulfilled during the hospital day was acceptable; the Kappa coefficient was 0.62 (95% CI: 0.52-0.72). The reliability of expert assessment on patient accommodation needs (home, housing facilities or hospital) was good (Kappa coefficient: 0.67; 95% CI: 0.60-0.75). When hospital was not the accommodation the most adapted for patient, the reliability of the reasons for inappropriate days was high (Kappa coefficient: 0.75; 95% CI: 0.61-0.80). Kappa coefficients were different between hospitals, indicating a center effect. CONCLUSION: This instrument has been found to be reliable and should be used in complement of the first part of the AEPf which assess the prevalence of inappropriate days. It might help to detect dysfunctions within or outside the hospital and thus be used for evaluation or planning of health care.


Subject(s)
Concurrent Review/methods , Length of Stay/statistics & numerical data , Observer Variation , Surveys and Questionnaires/standards , Translating , Adult , Aged , Concurrent Review/standards , Effect Modifier, Epidemiologic , France , Health Services Research , Housing , Humans , Middle Aged , Needs Assessment , Patient Discharge , Patient Selection , Socioeconomic Factors
2.
Int J Qual Health Care ; 8(3): 291-6, 1996 Jun.
Article in English | MEDLINE | ID: mdl-8885193

ABSTRACT

We evaluated whether the location of a smoking cessation clinic in a hospital enhances the success rate compared to that found in the literature, regardless of the type of treatment. We assessed the results and identified prognostic factors of success in 12 smoking cessation clinics situated in 12 hospitals of the Assistance publique-Hôpitaux de Paris (AP-HP). The clinics were included in the study after a call for participation. The response rate was 60%. The study design was prospective, multicentric and descriptive. The study lasted 9 months. Follow-up took place 3 and 6 months after the first visit. The definition of success was self-reported total abstinence from cigarette smoking during the month preceding the 6-month follow-up. Success rate was 27%, failures were 66%, and 7% were lost to follow-up. Prognostic factors of success were not related to the hospital setting. We conclude that for a number of structural reasons that we explain, according to this study, the location of smoking cessation clinics in hospitals does not enhance their success rate compared to that found in the literature.


Subject(s)
Hospitals, Public/organization & administration , Outpatient Clinics, Hospital/organization & administration , Smoking Cessation/statistics & numerical data , Adult , Female , Hospitals, Public/standards , Hospitals, Public/statistics & numerical data , Humans , Male , Outcome Assessment, Health Care , Outpatient Clinics, Hospital/standards , Outpatient Clinics, Hospital/statistics & numerical data , Paris , Prognosis , Program Evaluation , Prospective Studies , Surveys and Questionnaires
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