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
164518
- Documentation
- Description de l'enquête
- Dictionnaire de données
- Charger les microdonnées
- Bibliographie
R-Vignette - Set A Q-14
(q7514a)
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").
[Carla]’s child became seriously sick. [Carla] called an ambulance that arrived after 10 minutes and within 5 minutes they were at the hospital and the doctors
were treating the child.
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").
[Carla]’s child became seriously sick. [Carla] called an ambulance that arrived after 10 minutes and within 5 minutes they were at the hospital and the doctors
were treating the child.
Question littérale
How would you rate the amount of time she waited before being attended
to?
to?
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.