FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2801196856> ?p ?o ?g. }

• W2801196856 endingPage "e0195362" @default.
• W2801196856 startingPage "e0195362" @default.
• W2801196856 abstract "Background Routine Data Quality Assessments (RDQAs) were developed to measure and improve facility-level electronic medical record (EMR) data quality. We assessed if RDQAs were associated with improvements in data quality in KenyaEMR, an HIV care and treatment EMR used at 341 facilities in Kenya. Methods RDQAs assess data quality by comparing information recorded in paper records to KenyaEMR. RDQAs are conducted during a one-day site visit, where approximately 100 records are randomly selected and 24 data elements are reviewed to assess data completeness and concordance. Results are immediately provided to facility staff and action plans are developed for data quality improvement. For facilities that had received more than one RDQA (baseline and follow-up), we used generalized estimating equation models to determine if data completeness or concordance improved from the baseline to the follow-up RDQAs. Results 27 facilities received two RDQAs and were included in the analysis, with 2369 and 2355 records reviewed from baseline and follow-up RDQAs, respectively. The frequency of missing data in KenyaEMR declined from the baseline (31% missing) to the follow-up (13% missing) RDQAs. After adjusting for facility characteristics, records from follow-up RDQAs had 0.43-times the risk (95% CI: 0.32–0.58) of having at least one missing value among nine required data elements compared to records from baseline RDQAs. Using a scale with one point awarded for each of 20 data elements with concordant values in paper records and KenyaEMR, we found that data concordance improved from baseline (11.9/20) to follow-up (13.6/20) RDQAs, with the mean concordance score increasing by 1.79 (95% CI: 0.25–3.33). Conclusions This manuscript demonstrates that RDQAs can be implemented on a large scale and used to identify EMR data quality problems. RDQAs were associated with meaningful improvements in data quality and could be adapted for implementation in other settings." @default.
• W2801196856 created "2018-05-17" @default.
• W2801196856 creator A5000516133 @default.
• W2801196856 creator A5002625562 @default.
• W2801196856 creator A5027024792 @default.
• W2801196856 creator A5029885159 @default.
• W2801196856 creator A5040233993 @default.
• W2801196856 creator A5043794140 @default.
• W2801196856 creator A5046996736 @default.
• W2801196856 creator A5051964305 @default.
• W2801196856 creator A5052875621 @default.
• W2801196856 creator A5073441347 @default.
• W2801196856 creator A5088872440 @default.
• W2801196856 date "2018-04-18" @default.
• W2801196856 modified "2023-10-15" @default.
• W2801196856 title "The impact of routine data quality assessments on electronic medical record data quality in Kenya" @default.
• W2801196856 cites W1580214032 @default.
• W2801196856 cites W1586629963 @default.
• W2801196856 cites W1639968761 @default.
• W2801196856 cites W2015094462 @default.
• W2801196856 cites W2049513783 @default.
• W2801196856 cites W2053961376 @default.
• W2801196856 cites W2062140282 @default.
• W2801196856 cites W2066442698 @default.
• W2801196856 cites W2098092010 @default.
• W2801196856 cites W2100928929 @default.
• W2801196856 cites W2101321266 @default.
• W2801196856 cites W2103894497 @default.
• W2801196856 cites W2104026855 @default.
• W2801196856 cites W2111860366 @default.
• W2801196856 cites W2122019985 @default.
• W2801196856 cites W2127415865 @default.
• W2801196856 cites W2134256069 @default.
• W2801196856 cites W2136401331 @default.
• W2801196856 cites W2137767404 @default.
• W2801196856 cites W2150217040 @default.
• W2801196856 cites W2151772994 @default.
• W2801196856 cites W2155104559 @default.
• W2801196856 cites W2158939484 @default.
• W2801196856 cites W2169921538 @default.
• W2801196856 cites W2171209178 @default.
• W2801196856 cites W2172144794 @default.
• W2801196856 cites W2188609437 @default.
• W2801196856 cites W2211611783 @default.
• W2801196856 cites W2324899111 @default.
• W2801196856 cites W2331419950 @default.
• W2801196856 cites W2340146512 @default.
• W2801196856 cites W2475342242 @default.
• W2801196856 cites W2510765898 @default.
• W2801196856 cites W2766408760 @default.
• W2801196856 doi "https://doi.org/10.1371/journal.pone.0195362" @default.
• W2801196856 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5905951" @default.
• W2801196856 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29668691" @default.
• W2801196856 hasPublicationYear "2018" @default.
• W2801196856 type Work @default.
• W2801196856 sameAs 2801196856 @default.
• W2801196856 citedByCount "36" @default.
• W2801196856 countsByYear W28011968562018 @default.
• W2801196856 countsByYear W28011968562019 @default.
• W2801196856 countsByYear W28011968562020 @default.
• W2801196856 countsByYear W28011968562021 @default.
• W2801196856 countsByYear W28011968562022 @default.
• W2801196856 countsByYear W28011968562023 @default.
• W2801196856 crossrefType "journal-article" @default.
• W2801196856 hasAuthorship W2801196856A5000516133 @default.
• W2801196856 hasAuthorship W2801196856A5002625562 @default.
• W2801196856 hasAuthorship W2801196856A5027024792 @default.
• W2801196856 hasAuthorship W2801196856A5029885159 @default.
• W2801196856 hasAuthorship W2801196856A5040233993 @default.
• W2801196856 hasAuthorship W2801196856A5043794140 @default.
• W2801196856 hasAuthorship W2801196856A5046996736 @default.
• W2801196856 hasAuthorship W2801196856A5051964305 @default.
• W2801196856 hasAuthorship W2801196856A5052875621 @default.
• W2801196856 hasAuthorship W2801196856A5073441347 @default.
• W2801196856 hasAuthorship W2801196856A5088872440 @default.
• W2801196856 hasBestOaLocation W28011968561 @default.
• W2801196856 hasConcept C105795698 @default.
• W2801196856 hasConcept C111368507 @default.
• W2801196856 hasConcept C126322002 @default.
• W2801196856 hasConcept C12725497 @default.
• W2801196856 hasConcept C127313418 @default.
• W2801196856 hasConcept C127413603 @default.
• W2801196856 hasConcept C133462117 @default.
• W2801196856 hasConcept C141071460 @default.
• W2801196856 hasConcept C160798450 @default.
• W2801196856 hasConcept C176217482 @default.
• W2801196856 hasConcept C195910791 @default.
• W2801196856 hasConcept C21547014 @default.
• W2801196856 hasConcept C24756922 @default.
• W2801196856 hasConcept C33923547 @default.
• W2801196856 hasConcept C71924100 @default.
• W2801196856 hasConcept C9357733 @default.
• W2801196856 hasConceptScore W2801196856C105795698 @default.
• W2801196856 hasConceptScore W2801196856C111368507 @default.
• W2801196856 hasConceptScore W2801196856C126322002 @default.
• W2801196856 hasConceptScore W2801196856C12725497 @default.
• W2801196856 hasConceptScore W2801196856C127313418 @default.
• W2801196856 hasConceptScore W2801196856C127413603 @default.

• next