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
146110
R-Vignette - Set D Q-14
(q7514d)
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 [Carol] was in hospital, she was allowed visitors at any time of the day. Whenever she needed to contact her family, work or friends, she could easily
get a message delivered to them.
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 [Carol] was in hospital, she was allowed visitors at any time of the day. Whenever she needed to contact her family, work or friends, she could easily
get a message delivered to them.
For [Carol’s] last hospital stay, how would you rate her experience of
staying in contact with the outside world when she was in hospital?
staying in contact with the outside world when she was in hospital?
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.