Mali - World Health Survey - Enquête mondiale sur la santé (2003)
ID de référence | MLI-OMS-WHS-2003 |
Année | 2003 |
Pays | Mali |
Producteur(s) | World Health Organization (WHO) |
Bailleur(s) | World Health Organization - WHO - |
Collection(s) | |
Métadonnées |
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Créé le
Sep 18, 2019
Dernière modification
Sep 18, 2019
Affichage par page
164492
- Documentation
- Description de l'enquête
- Dictionnaire de données
- Charger les microdonnées
- Bibliographie
R-Vignette - Set C Q-19
(q7519c)
Fichier: WHS-Mali_F5
Fichier: WHS-Mali_F5
Aperçu
Type:
Discrète Format: numeric Largeur: 4 Décimales: 2 Intervalle: 1-5 |
Enregistrements valides: 0 Invalide: 0 |
Questions et instructions
Pré-question
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").
[Nathan] lives in a town where there are lots of doctors and clinics. He tried one doctor but he didn’t like him so he changed doctors. This was easy to do
because he could go where he wanted.
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").
[Nathan] lives in a town where there are lots of doctors and clinics. He tried one doctor but he didn’t like him so he changed doctors. This was easy to do
because he could go where he wanted.
Question littérale
How would you rate [Nathan’s] freedom to choose his health care
provider?
provider?
Catégories
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.