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
136367
R-Vignette - Set B Q-13
(q7513b)
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").
[Rose] cannot write or read. She went to the doctor because she was feeling dizzy. The doctor didn’t have time to answer her questions or to explain anything.
He sent her away with a piece of paper without telling her what it said.
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").
[Rose] cannot write or read. She went to the doctor because she was feeling dizzy. The doctor didn’t have time to answer her questions or to explain anything.
He sent her away with a piece of paper without telling her what it said.
How would you rate her experience of how clearly health care providers
explained things to her?
explained things to her?
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.