Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292438630> ?p ?o ?g. }
- W4292438630 endingPage "1477" @default.
- W4292438630 startingPage "1463" @default.
- W4292438630 abstract "Safety reporting systems are widely used in healthcare to identify risks to patient safety. But, their effectiveness is undermined if staff do not notice or report incidents. Patients, however, might observe and report these overlooked incidents because they experience the consequences, are highly motivated, and independent of the organization. Online patient feedback may be especially valuable because it is a channel of reporting that allows patients to report without fear of consequence (e.g., anonymously). Harnessing this potential is challenging because online feedback is unstructured and lacks demonstrable validity and added value. Accordingly, we developed an automated language analysis method for measuring the likelihood of patient-reported safety incidents in online patient feedback. Feedback from patients and families (n = 146,685, words = 22,191,427, years = 2013-2019) about acute NHS trusts (hospital conglomerates; n = 134) in England were analyzed. The automated measure had good precision (0.69) and excellent recall (0.98) in identifying incidents; was independent of staff-reported incidents (r = -0.04 to 0.19); and was associated with hospital-level mortality rates (z = 3.87; p < 0.001). The identified safety incidents were often reported as unnoticed (89%) or unresolved (21%), suggesting that patients use online platforms to give visibility to safety concerns they believe have been missed or ignored. Online stakeholder feedback is akin to a safety valve; being independent and unconstrained it provides an outlet for reporting safety issues that may have been unnoticed or unresolved within formal channels." @default.
- W4292438630 created "2022-08-20" @default.
- W4292438630 creator A5041354168 @default.
- W4292438630 creator A5064734371 @default.
- W4292438630 date "2022-08-09" @default.
- W4292438630 modified "2023-10-17" @default.
- W4292438630 title "Online patient feedback as a safety valve: An automated language analysis of unnoticed and unresolved safety incidents" @default.
- W4292438630 cites W157203151 @default.
- W4292438630 cites W1964576355 @default.
- W4292438630 cites W1966149969 @default.
- W4292438630 cites W1977761756 @default.
- W4292438630 cites W1980505100 @default.
- W4292438630 cites W1981428665 @default.
- W4292438630 cites W1999661171 @default.
- W4292438630 cites W2057551514 @default.
- W4292438630 cites W2060269907 @default.
- W4292438630 cites W2087562021 @default.
- W4292438630 cites W2091867060 @default.
- W4292438630 cites W2099813784 @default.
- W4292438630 cites W2103053178 @default.
- W4292438630 cites W2112949450 @default.
- W4292438630 cites W2113639350 @default.
- W4292438630 cites W2116523400 @default.
- W4292438630 cites W2119428793 @default.
- W4292438630 cites W2120530657 @default.
- W4292438630 cites W2141814526 @default.
- W4292438630 cites W2161015778 @default.
- W4292438630 cites W2161354218 @default.
- W4292438630 cites W2169889946 @default.
- W4292438630 cites W2192408393 @default.
- W4292438630 cites W2195272949 @default.
- W4292438630 cites W2250539671 @default.
- W4292438630 cites W2315444358 @default.
- W4292438630 cites W2335311326 @default.
- W4292438630 cites W2345473131 @default.
- W4292438630 cites W2346834216 @default.
- W4292438630 cites W2474490143 @default.
- W4292438630 cites W2507947162 @default.
- W4292438630 cites W2621123257 @default.
- W4292438630 cites W2727534333 @default.
- W4292438630 cites W2747746178 @default.
- W4292438630 cites W2892337783 @default.
- W4292438630 cites W2899674381 @default.
- W4292438630 cites W2902121240 @default.
- W4292438630 cites W2933094324 @default.
- W4292438630 cites W2941304297 @default.
- W4292438630 cites W2943593602 @default.
- W4292438630 cites W2960142872 @default.
- W4292438630 cites W2962802560 @default.
- W4292438630 cites W2963241833 @default.
- W4292438630 cites W2963923670 @default.
- W4292438630 cites W2969484135 @default.
- W4292438630 cites W2972187929 @default.
- W4292438630 cites W2995439439 @default.
- W4292438630 cites W3005199887 @default.
- W4292438630 cites W3009833790 @default.
- W4292438630 cites W3015032271 @default.
- W4292438630 cites W3094938719 @default.
- W4292438630 cites W3111616769 @default.
- W4292438630 cites W3125030625 @default.
- W4292438630 cites W3165761506 @default.
- W4292438630 cites W3181461294 @default.
- W4292438630 cites W3190304747 @default.
- W4292438630 cites W3212250433 @default.
- W4292438630 cites W4210764005 @default.
- W4292438630 doi "https://doi.org/10.1111/risa.14002" @default.
- W4292438630 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35945156" @default.
- W4292438630 hasPublicationYear "2022" @default.
- W4292438630 type Work @default.
- W4292438630 citedByCount "4" @default.
- W4292438630 countsByYear W42924386302023 @default.
- W4292438630 crossrefType "journal-article" @default.
- W4292438630 hasAuthorship W4292438630A5041354168 @default.
- W4292438630 hasAuthorship W4292438630A5064734371 @default.
- W4292438630 hasBestOaLocation W42924386302 @default.
- W4292438630 hasConcept C120665830 @default.
- W4292438630 hasConcept C121332964 @default.
- W4292438630 hasConcept C123403432 @default.
- W4292438630 hasConcept C142724271 @default.
- W4292438630 hasConcept C15744967 @default.
- W4292438630 hasConcept C160735492 @default.
- W4292438630 hasConcept C162324750 @default.
- W4292438630 hasConcept C166957645 @default.
- W4292438630 hasConcept C17744445 @default.
- W4292438630 hasConcept C187155963 @default.
- W4292438630 hasConcept C187736073 @default.
- W4292438630 hasConcept C199539241 @default.
- W4292438630 hasConcept C201305675 @default.
- W4292438630 hasConcept C2777548347 @default.
- W4292438630 hasConcept C2779240384 @default.
- W4292438630 hasConcept C2779328685 @default.
- W4292438630 hasConcept C2779913896 @default.
- W4292438630 hasConcept C2909164965 @default.
- W4292438630 hasConcept C38652104 @default.
- W4292438630 hasConcept C39549134 @default.
- W4292438630 hasConcept C41008148 @default.
- W4292438630 hasConcept C50522688 @default.
- W4292438630 hasConcept C545542383 @default.