Sénégal - World Health Survey (2003)
ID de référence | SEN-OMS-WHS-2003 |
Année | 2003 |
Pays | Sénégal |
Producteur(s) | Organisation mondiale de la santé (OMS) |
Bailleur(s) | Organisation mondiale de la santé - OMS - |
Collection(s) | |
Métadonnées | Documentation au format PDF |
Page web de l'étude |
Créé le
Sep 20, 2019
Dernière modification
Sep 20, 2019
Affichage par page
136428
R-Vignette - Set A Q-20
(q7520a)
Fichier: WHS-Senegal_F5
Fichier: WHS-Senegal_F5
Aperçu
Type:
Discrète Format: numeric Largeur: 4 Décimales: 2 Intervalle: 1-5 |
Enregistrements valides: 0 Invalide: 0 |
Questions et instructions
I am now going to read you stories about people's experiences with health care services. I wanted you to think about these people's experiences as if they were your own. Once I have finished reading each story, I will ask you to rate what happened in th estory as very good, good, moderate, bad or very bad.
Use in vignettes country specific female/male first names to match sex of the respondent (with exceptions specified in the "Guide to Administration and Question by Question Specifications").
[Said] has AIDS. When he goes to his health centre the nurses do not talk to him and deliberately ignore him. During examinations, his clothes are removed
and he is made to wait, half-naked in the waiting room.
Use in vignettes country specific female/male first names to match sex of the respondent (with exceptions specified in the "Guide to Administration and Question by Question Specifications").
[Said] has AIDS. When he goes to his health centre the nurses do not talk to him and deliberately ignore him. During examinations, his clothes are removed
and he is made to wait, half-naked in the waiting room.
How would you rate the way his privacy was respected during physical
examinations and treatments?
examinations and treatments?
Valeur | Catégorie |
---|---|
1 | Very good |
2 | Good |
3 | Moderate |
4 | Bad |
5 | Very bad |
Avertissement: ces statistiques indiquent le nombre d'enregistrements trouvés dans les fichiers de données, et non des nombres pondérés. Ils ne peuvent pas être interpretés comme étant représentatifs de la population concernée.