Capacity and willingness of patients with chronic noncommunicable diseases to use information technology to help manage their condition: a cross-sectional study
Notice bibliographique
Résumé
BACKGROUND: Health care providers have shown considerable interest in using information technologies such as email, text messages and video conferencing to facilitate the management of chronic noncommunicable diseases such as hypertension, diabetes mellitus and vascular disease. We sought to determine whether these technologies are available and appealing to the target population. METHODS: We analyzed cross-sectional data from a computer-assisted telephone survey, conducted by Statistics Canada in February and March 2012, of western Canadian adults with at least 1 chronic condition. Survey respondents were asked about their capacity (e.g., "Do you own a mobile phone?") and willingness to use each of 3 information technologies (email, text messages and video conferencing) to interact with health care providers. For all analyses, Statistics Canada's calibrated design weights and bootstrap weights were used to obtain population-level point estimates for proportions and odds ratios. RESULTS: In total, 1849 (79.8%) of 2316 eligible people participated. Of the 1849 participants, 81.9% had hypertension, 26.2% had diabetes, 21.4% had heart disease, and 7.9% had stroke; 32.2% had more than 1 of the 4 chronic conditions of interest. High proportions of respondents owned a computer with Internet access (76.4%, 95% confidence interval [CI] 73.3%-79.3%) or a mobile phone (73.9%, 95% CI 70.7%-76.8%). About two-thirds of respondents were interested in using email to interact with a specialist (66.3%, 95% CI 63.0%-69.5%); respondents were less enthusiastic about using text messages (44.9%, 95% CI 41.2%-48.7%). Enthusiasm for video conferencing was more pronounced among those residing further from medical specialists than among those living closer. Among respondents who were potentially interested in video conferencing, almost 50% of remote dwellers would use this technology if it saved more than 60 minutes of travel time. INTERPRETATION: Many people were interested in using electronic technologies, especially video conferencing and email-based methods, to help manage their chronic condition. The effectiveness and cost implications of using email and video conferencing in the management of chronic disease deserve further consideration.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».