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
146102
R-Vignette - Set D Q-15
(q7515d)
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").
When [Sarah] wanted treatment for her swollen limbs, the nurses at her clinic discussed many possible treatments with her. They discussed all the pro’s and
con’s of each treatment with her and then recommended one to her.
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").
When [Sarah] wanted treatment for her swollen limbs, the nurses at her clinic discussed many possible treatments with her. They discussed all the pro’s and
con’s of each treatment with her and then recommended one to her.
How would you rate [Sarah’s] experience of getting information about
other types of treatments or tests?
other types of treatments or tests?
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.