ELIZA

return kwic search for risk out of >500 occurrences
421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]

278) Atrial fibrillation (AF) affects over 1.4 million people in the UK, resulting in a five-fold increased stroke risk and a three to four times greater risk of severe, disabling stroke.

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PMID:33620473 DOI:10.1093/eurjcn/zvaa014

2021 European journal of cardiovascular nursing

* Atrial fibrillation self-management: a mobile telephone app scoping review and content analysis.

- Atrial fibrillation (AF) affects over 1.4 million people in the UK, resulting in a five-fold increased stroke risk and a three to four times greater risk of severe, disabling stroke. Atrial fibrillation, a chronic disease, requires monitoring, medication, and lifestyle measures. A self-management approach supported by mobile health (mHealth) may empower AF self-care. To assess the need to develop new mHealth self-management interventions for those with AF this review aimed to identify commercially available AF self-management apps, analyse, and synthesize (i) characteristics, (ii) functions, (iii) privacy/security, (iv) incorporated behaviour change techniques (BCTs), and (v) quality and usability. We searched app stores for 'atrial fibrillation' and 'anticoagulation', and included apps focused on AF self-management in the review. We examined app functions, privacy statements against best practice recommendations, the inclusion of BCTs using the App Behaviour Change Scale, and app quality/usability using the Mobile App Rating Scale. From an initial search of 555 apps, five apps were included in the review. Common functions were educational content, medication trackers, and communication with healthcare professionals. Apps contained limited BCTs, lacked intuitive functions and were difficult to use. Privacy policies were difficult to read. App quality rated from poor to acceptable and no app had been evaluated in a clinical trial. The review reports a lack of commercially available AF self-management apps of sufficient standard for use in healthcare settings. This highlights the need for clinically validated mHealth interventions incorporating evidence-based BCTs to support AF self-management.

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[frequency of next (right) word to risk]

(1)139 of	(11)7 prediction	(21)3 decision	(31)2 markers
(2)49 factors	(12)6 stratification	(22)3 or	(32)2 mitigation
(3)46 for	(13)5 individuals	(23)3 patients	(33)2 population
(4)21 null	(14)4 genes	(24)2 (OR	(34)2 ratio
(5)19 factor	(15)4 populations	(25)2 among	(35)2 reduction
(6)16 and	(16)4 score	(26)2 communication	(36)2 screening
(7)13 assessment	(17)4 to	(27)2 communication,	(37)2 strategies
(8)12 in	(18)4 variants	(28)2 designations
(9)8 perception	(19)3 alleles	(29)2 group
(10)7 factors,	(20)3 assessment,	(30)2 is

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--- WordNet output for risk --- =>1.損害の恐れ, 危険, 冒険, リスク, 2.危険にさらす, 3.敢えてする, 被保険者, 被保険物, 危険にさらす, 賭けてみる Overview of noun risk The noun risk has 4 senses (first 2 from tagged texts) 1. (4) hazard, jeopardy, peril, risk, endangerment -- (a source of danger; a possibility of incurring loss or misfortune; "drinking alcohol is a health hazard") 2. (2) risk, peril, danger -- (a venture undertaken without regard to possible loss or injury; "he saw the rewards but not the risks of crime"; "there was a danger he would do the wrong thing") 3. risk, risk of infection -- (the probability of becoming infected given that exposure to an infectious agent has occurred) 4. risk, risk of exposure -- (the probability of being exposed to an infectious agent) Overview of verb risk The verb risk has 2 senses (first 2 from tagged texts) 1. (8) risk, put on the line, lay on the line -- (expose to a chance of loss or damage; "We risked losing a lot of money in this venture"; "Why risk your life?"; "She laid her job on the line when she told the boss that he was wrong") 2. (2) gamble, chance, risk, hazard, take chances, adventure, run a risk, take a chance -- (take a risk in the hope of a favorable outcome; "When you buy these stocks you are gambling") --- WordNet end ---