Matches in SemOpenAlex for { <https://semopenalex.org/work/W4213231823> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4213231823 abstract "<sec> <title>BACKGROUND</title> Topic modeling of patient medication reviews (PMRs) of erectile dysfunction (ED) drugs can help identify the patient preferences regarding ED treatment options. The identification of a set of topics important to the patient from SNS drug reviews would inform the design of patient-centered medication counseling. </sec> <sec> <title>OBJECTIVE</title> This study aimed 1) to identify the distinctive topics from PMRs unique to tadalafil versus sildenafil; 2) to determine if the primary topics are distributed differently for each drug and for each patient characteristics (age and time on ED drug therapy); and 3) to test if the primary topics affect satisfaction with ED drug therapy controlling for the patient characteristics. </sec> <sec> <title>METHODS</title> Data were collected from the PMRs of sildenafil and tadalafil posted prior to July 1, 2019 on WebMD and Ask a Patient. The Latent Dirichlet allocation (LDA) method of natural language processing (NLP) was used to identify five distinctive topics from the PMRs on each drug. Analysis of variance (ANOVA) and two sample t-test were conducted to compare the topic distribution and test whether patient satisfaction varies with the primary topics, age, and time on medication for each ED drugs. Statistical significance was tested at an alpha of .05. </sec> <sec> <title>RESULTS</title> The PMRs of sildenafil (N = 463) had two topics on treatment benefit and one each on medication safety, marketing claim, and treatment comparison, while the PMRs on tadalafil (N = 919) had two on medication safety and one each on the remaining subjects. Sildenafil’s reviewers quite frequently (94/463, 20.4%) mentioned erection sustainability as their primary topic, whereas tadalafil’s reviewers were more concerned about severe medication safety. Those who mentioned erection sustainability as their primary topic were quite satisfied with their treatment as opposed to those for whom the primary topic was severe medication safety (3.85 vs. 2.44). The discovered topics reflected the marketing claims of “Blue Magic” and “Amber Romance” respective of each drug. The topic of blue magic was preferred among younger patients while the topic of amber romance topic was preferred among older patients. The topic “Alternative Choices” which appeared for both the ED pills reflected the patient interest in the comparative effectiveness and prices outside the drug labeling information. </sec> <sec> <title>CONCLUSIONS</title> The topics identified from patient medication reviews of ED drugs reflect drug labeling information, marketing claims, and comparative alternative choices facing patients in real world practices. Topic modeling of natural language expressed in patient medication reviews can identify patient medication concerns, which are crucial for patient-centered prescribing and medication counseling. </sec> <sec> <title>CLINICALTRIAL</title> <p /> </sec>" @default.
- W4213231823 created "2022-02-24" @default.
- W4213231823 creator A5001209675 @default.
- W4213231823 creator A5006571037 @default.
- W4213231823 creator A5015892456 @default.
- W4213231823 creator A5022042616 @default.
- W4213231823 date "2021-08-06" @default.
- W4213231823 modified "2023-09-28" @default.
- W4213231823 title "Applying Topic Modeling Approach to Patient Medication Reviews of Erectile Dysfunction Drugs: Sildenafil versus Tadalafil (Preprint)" @default.
- W4213231823 cites W1851422430 @default.
- W4213231823 cites W1902526473 @default.
- W4213231823 cites W1987581851 @default.
- W4213231823 cites W2006143438 @default.
- W4213231823 cites W2018212079 @default.
- W4213231823 cites W2022198198 @default.
- W4213231823 cites W2039531580 @default.
- W4213231823 cites W2055953302 @default.
- W4213231823 cites W2074295933 @default.
- W4213231823 cites W2079325673 @default.
- W4213231823 cites W2093605115 @default.
- W4213231823 cites W2105219542 @default.
- W4213231823 cites W2120831232 @default.
- W4213231823 cites W2144255068 @default.
- W4213231823 cites W2144415203 @default.
- W4213231823 cites W2160170318 @default.
- W4213231823 cites W2167325287 @default.
- W4213231823 cites W2499730790 @default.
- W4213231823 cites W2508797190 @default.
- W4213231823 cites W2571788821 @default.
- W4213231823 cites W2793044468 @default.
- W4213231823 cites W2898275258 @default.
- W4213231823 cites W3008982197 @default.
- W4213231823 cites W3036914761 @default.
- W4213231823 cites W3037563377 @default.
- W4213231823 cites W3092643853 @default.
- W4213231823 cites W3130857284 @default.
- W4213231823 cites W4248036322 @default.
- W4213231823 doi "https://doi.org/10.2196/preprints.32689" @default.
- W4213231823 hasPublicationYear "2021" @default.
- W4213231823 type Work @default.
- W4213231823 citedByCount "0" @default.
- W4213231823 crossrefType "posted-content" @default.
- W4213231823 hasAuthorship W4213231823A5001209675 @default.
- W4213231823 hasAuthorship W4213231823A5006571037 @default.
- W4213231823 hasAuthorship W4213231823A5015892456 @default.
- W4213231823 hasAuthorship W4213231823A5022042616 @default.
- W4213231823 hasConcept C126322002 @default.
- W4213231823 hasConcept C2776768464 @default.
- W4213231823 hasConcept C2779929075 @default.
- W4213231823 hasConcept C2780816001 @default.
- W4213231823 hasConcept C71924100 @default.
- W4213231823 hasConceptScore W4213231823C126322002 @default.
- W4213231823 hasConceptScore W4213231823C2776768464 @default.
- W4213231823 hasConceptScore W4213231823C2779929075 @default.
- W4213231823 hasConceptScore W4213231823C2780816001 @default.
- W4213231823 hasConceptScore W4213231823C71924100 @default.
- W4213231823 hasLocation W42132318231 @default.
- W4213231823 hasOpenAccess W4213231823 @default.
- W4213231823 hasPrimaryLocation W42132318231 @default.
- W4213231823 hasRelatedWork W1500486221 @default.
- W4213231823 hasRelatedWork W1898711703 @default.
- W4213231823 hasRelatedWork W1995618503 @default.
- W4213231823 hasRelatedWork W1999638102 @default.
- W4213231823 hasRelatedWork W2032372752 @default.
- W4213231823 hasRelatedWork W2090709439 @default.
- W4213231823 hasRelatedWork W2134025139 @default.
- W4213231823 hasRelatedWork W2198984259 @default.
- W4213231823 hasRelatedWork W2399779522 @default.
- W4213231823 hasRelatedWork W2789861343 @default.
- W4213231823 isParatext "false" @default.
- W4213231823 isRetracted "false" @default.
- W4213231823 workType "article" @default.