Quels bénéfices le soutien religieux apporte-t-il aux traitements ?
Il peut améliorer l'adhésion au traitement et le bien-être général.
Adhésion au traitementBien-être
Complications
5
#1
Quelles complications peuvent survenir sans soutien religieux ?
L'absence de soutien peut entraîner des complications psychologiques comme la dépression.
Complications psychologiquesDépression
#2
Comment le manque de soutien spirituel affecte-t-il la santé ?
Il peut aggraver les maladies chroniques et diminuer la qualité de vie.
Maladies chroniquesQualité de vie
#3
Quels risques psychologiques sont liés à l'isolement religieux ?
L'isolement peut entraîner des troubles de l'humeur et des problèmes d'anxiété.
Troubles de l'humeurAnxiété
#4
Le personnel religieux peut-il aider à éviter des complications médicales ?
Oui, en fournissant un soutien émotionnel et en encourageant l'adhésion aux traitements.
Complications médicalesAdhésion au traitement
#5
Quelles complications sociales peuvent résulter d'un manque de soutien religieux ?
Des complications comme l'isolement social et la stigmatisation peuvent survenir.
Isolement socialStigmatisation
Facteurs de risque
5
#1
Quels facteurs de risque sont liés à l'absence de soutien religieux ?
L'isolement social et le stress accru sont des facteurs de risque importants.
Isolement socialStress
#2
Comment les croyances religieuses influencent-elles la santé ?
Elles peuvent moduler la perception de la maladie et le coping face au stress.
Croyances religieusesCoping
#3
Quels groupes sont plus à risque de bénéficier du soutien religieux ?
Les personnes âgées et celles souffrant de maladies chroniques en bénéficient souvent.
Personnes âgéesMaladies chroniques
#4
Le personnel religieux peut-il réduire les facteurs de risque psychosociaux ?
Oui, en offrant un soutien émotionnel et en favorisant des liens sociaux.
Facteurs psychosociauxLiens sociaux
#5
Quels événements de vie augmentent le besoin de soutien religieux ?
Des événements comme la maladie, le deuil ou le divorce augmentent ce besoin.
Événements de vieDeuil
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"position": 17,
"acceptedAnswer": {
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}
},
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Digital transformation in healthcare and the growth of health data generation and collection are important challenges for the secondary use of healthcare records in the health research field. Likewise...
To capture the different data governance behind health data hubs across Europe, a survey focused on analysing the feasibility of linking individual-level data between data collections and the generati...
In total, 41 survey responses received until June 2022 were analysed. Stratification methods were performed to cover the different levels of granularity identified in some data hubs' characteristics. ...
The analysis of the responses from health data hub respondents across Europe provided a list of the most frequent aspects, which concluded with a set of specific best practices on data management and ...
Unstructured text data (UTD) are increasingly found in many databases that were never intended to be used for research, including electronic medical record (EMR) databases. Data quality can impact the...
Our objective was to systematically document current research and practices about NLP preprocessing methods to describe or improve the quality of UTD, including UTD found in EMR databases....
A scoping review was undertaken of peer-reviewed studies published between December 2002 and January 2021. Scopus, Web of Science, ProQuest, and EBSCOhost were searched for literature relevant to the ...
A total of 41 articles were included in the scoping review; over 50% were published between 2016 and 2021. Almost 20% of the articles were published in health science journals. Common preprocessing me...
Multiple NLP techniques have been proposed to preprocess UTD, with some differences in techniques applied to EMR data. There are similarities in the data quality dimensions used to characterize struct...
In this evaluation, we aim to strengthen Routine Health Information Systems (RHIS) through the digitization of data quality assessment (DQA) processes. We leverage electronic data from the Kenya Healt...
We evaluated 187 HIV care facilities with electronic medical records across Kenya. Using quarterly, longitudinal KHIS data from January 2011 to June 2018 (total N = 30 quarters), we extracted indicato...
A total of 5,610 unique facility-quarters were extracted from KHIS. The mean completeness score was 61.1% [standard deviation (SD) = 27%]. The mean consistency score was 80% (SD = 16.4%). The mean dis...
We observed a lack of correlation between the completeness score and the other two scores. As such, for a holistic DQA, completeness assessment should be paired with the measurement of either consiste...
Groundwater overuse in different domains will eventually lead to global freshwater scarcity. To meet the anticipated demands, many governments worldwide are employing innovative and traditional techni...
