Patient-reported outcomes as a source of evidence in off-label prescribing: analysis of data from PatientsLikeMe - Wikidata - wikimedia - TriplyDB

Patient-reported outcomes as a source of evidence in off-label prescribing: analysis of data from PatientsLikeMe

Patient-reported outcomes as a source of evidence in off-label prescribing: analysis of data from PatientsLikeMe

http://www.wikidata.org/entity/Q24595345

about

A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication Systematic review on the prevalence, frequency and comparative value of adverse events data in social media.Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions Crowdsourced health research studies: an important emerging complement to clinical trials in the public health research ecosystem The Impact of Online Social Networks on Health and Health Systems: A Scoping Review and Case Studies Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review Mining consumer health vocabulary from community-generated text Partnering against cancer today: a blueprint for coordinating efforts through communication science The use of social networking sites for public health practice and research: a systematic review Ethical issues in health research with novel online sources The utility of web mining for epidemiological research: studying the association between parity and cancer risk.Conducting research on the Internet: medical record data integration with patient-reported outcomes Crowdsourcing a normative natural language dataset: a comparison of Amazon Mechanical Turk and in-lab data collection Evaluating health interest profiles extracted from patient-generated data.Estimating the Duration of Public Concern After the Fukushima Dai-ichi Nuclear Power Station Accident From the Occurrence of Radiation Exposure-Related Terms on Twitter: A Retrospective Data Analysis.User-generated online health content: a survey of Internet users in the United Kingdom.TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations.Conceptual and Analytical Considerations toward the Use of Patient-Reported Outcomes in Personalized Medicine Use of an online community to develop patient-reported outcome instruments: the Multiple Sclerosis Treatment Adherence Questionnaire (MS-TAQ).Mining online social network data for biomedical research: a comparison of clinicians' and patients' perceptions about amyotrophic lateral sclerosis treatments Translational bioinformatics embraces big data.Ongoing challenges in pharmacovigilance.Personal health records in the preclinical medical curriculum: modeling student responses in a simple educational environment utilizing Google Health.Adapting standards: ethical oversight of participant-led health research.Internet health information seeking behavior and antiretroviral adherence in persons living with HIV/AIDS.An Innovative Approach to Informing Research: Gathering Perspectives on Diabetes Care Challenges From an Online Patient Community.Mental disorder recovery correlated with centralities and interactions on an online social network.The potential of the internet The ethics of early evidence--preparing for a possible breakthrough in Alzheimer's disease Preferred sources of health information in persons with multiple sclerosis: degree of trust and information sought The internet user profile of Italian families of patients with rare diseases: a web survey.A novel web informatics approach for automated surveillance of cancer mortality trends Mind the gap: social media engagement by public health researchers.Innovations in e-health.Beyond pain in fibromyalgia: insights into the symptom of fatigue.Monitoring the safety of medicines used off-label.Innovative uses of electronic health records and social media for public health surveillance.Individual Prognosis of Symptom Burden and Functioning in Chronic Diseases: A Generic Method Based on Patient-Reported Outcome (PRO) Measures.Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy (HIPEC): The Need for Accessible Data in Real Time.Effect of narrative reports about vaccine adverse events and bias-awareness disclaimers on vaccine decisions: a simulation of an online patient social network.

P2860

Q24631301-5F3D4580-AB14-418C-BF5F-A5663F6BBC6E Q27687556-C77EBB32-C2CF-4423-A45F-CE54DCC0145E Q28386242-94EEED7F-A7C8-44D8-99AF-6BA5039E336F Q28480448-A666DAB8-ACF5-4BEA-8948-D30B9F9CB6D3 Q28603914-11B7F50D-685C-4C68-90A9-5A72B75B9C61 Q28606868-B81860B5-8277-4F4B-A392-A864DA27D64C Q28648039-C41F3584-E1A4-4A3D-8A5C-71C128F17487 Q28660505-C88CD010-CF7C-40E4-9DED-B41BCC22FE5B Q28660520-55944396-27FA-44DF-B8B8-973501D31E54 Q28710362-CB10428D-98FB-493F-A058-366DE270D67D Q30382011-4E706B3B-3F65-43D1-851D-BE4E025E7BD0 Q30573090-98E7B6B8-295A-4BD5-A49F-94C3B70AC4FE Q30629339-592B4F7C-2ACB-4229-873B-E097E034AE9D Q30946886-D5CC592C-F48A-4BE4-A962-0C6C51F31140 Q31144763-83D58F15-5C78-4320-9DA6-43C315089272 Q33605634-B6DD3DE0-6C22-45D5-8F75-3676209FC542 Q33708887-0FE7FFAB-721D-47F6-986D-29A96B56004E Q33714815-A8A91BB6-DF89-466B-988D-6AB9C0060EDF Q34160752-A76262EE-E56F-43B9-809A-7D51A5784190 Q34313148-B3CE2777-9E35-450E-9A40-B03CAA114ED9 Q34378848-13F44FA0-31F9-49EC-9393-3AF511922D43 Q34417013-11EED739-61B8-4583-A3A5-B6CE215930F5 Q34421214-2464FFD0-12E5-4FBA-9674-5FA992D1FAE4 Q34647674-387E5F93-AD3D-40FB-8369-D3AE0AD36EF2 Q35173631-C6633A85-F662-405C-82EC-75852A460090 Q35922482-988549C4-376B-4A99-97FD-762162519031 Q35993563-96142C29-18CF-4CCE-8E59-AFF4AC496B7A Q36081497-33C471AD-08FE-4738-881C-2DEF4C10D459 Q36312324-C2E3F4AF-BECA-4B65-8E21-F2A4157ABECE Q36834245-12710DD9-0F6C-434C-92DC-AB637404B41E Q36871066-1EA6BFDD-2F69-4853-9776-66636BA8D6A8 Q37308159-39370D9C-E23E-45D3-A2A8-E274CBA1418D Q37531600-C5F26550-0CD6-42CF-AADB-6512D435203B Q37592910-00B0E211-AD49-4845-B50B-1030A999F5D5 Q37690090-FE179529-3DB4-42FB-80E3-F95463163064 Q37999649-B9C54791-AAD1-4EB5-AB85-119B6BE46DDB Q38184434-F745A3D0-455F-426C-A78E-82D33C6A82C1 Q38648162-10499DC8-37ED-40AD-9741-0F9226E6EA01 Q43698895-4AED543A-F05B-421F-A030-B987BAE433B7 Q44167488-C0C6BE0D-F46D-48F2-8D7A-FD38746F742A

P2860

Patient-reported outcomes as a source of evidence in off-label prescribing: analysis of data from PatientsLikeMe

http://www.wikidata.org/entity/Q24595345

description

2011 nî lūn-bûn

@nan

2011 թուականին հրատարակուած գիտական յօդուած

@hyw

2011 թվականին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@ast

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@en

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@nl

type

label

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@ast

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@en

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@nl

prefLabel

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@ast

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@en

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@nl

P1433

Q24595345-4C5C0B98-3E3C-4592-A2EA-85A074626942

P1476

Q24595345-BA76034A-9D28-43ED-A178-43BF216A2CB8

P2093

Q24595345-3A44C51A-FF96-40D7-A942-CC8F9F505457

Q24595345-A4BB5583-8A43-48E1-A833-C630E8E8CCCA

Q24595345-EC548D5C-5803-4B70-B031-3FC8A96C656C

Q24595345-F21DDB74-AEED-4D35-8408-B3EF3AC4104E

P2860

Q24595345-0B452750-0612-4168-B6DF-24D189E9B81B

Q24595345-0FBC71CF-042E-4D80-9E55-12F3BDAA3465

Q24595345-197996AC-8054-40E1-9956-715D74EAC38C

Q24595345-1A60F5F9-408A-4CBF-84AF-48B5B59B18A5

Q24595345-3E094F36-D2D4-478E-A544-AFC91478A17E

Q24595345-446AD2C4-A74D-48E2-8A8A-1BEAF3568146

Q24595345-514654DD-4B80-457D-9EF7-0C22C4C24DD7

Q24595345-54C46B40-81BB-4B4D-A56C-C136504C6FCA

Q24595345-5B062F65-8CAD-40FD-A700-4421AAA39AE6

Q24595345-6DC1BFFE-9AF5-49DE-A953-650128700776

P304

Q24595345-D42FAE8E-68C1-4F89-AB25-EC01BD5D8F5A

P31

Q24595345-58F4A78C-5D12-43A3-A7DB-A4A91853ABC4

P356

Q24595345-D601CF06-C594-428F-AC28-207ACF3B71DC

P407

Q24595345-59AF100D-CFD9-4FD7-B752-12484B3C058B

P433

Q24595345-FA82F0C2-F6EA-4BAA-8C74-E39524EEFA45

P478

Q24595345-9EB7B354-612F-4D71-9599-498AF586BC93

P50

Q24595345-5FA08F64-F10F-44CD-A903-F5C99A9F2428

P577

Q24595345-62CF2B77-6CD8-46C0-A812-B69E843284B7

P5875

Q24595345-DFFEE56F-003E-44BC-B4D7-46C9A2555E02

P698

Q24595345-F32BAB4B-85C3-449F-9D6A-21C729D131B5

P921

Q24595345-BD89EF46-BE09-4326-8B8E-A8F8FD9FCA13

P932

Q24595345-74254BA4-620B-4FD6-A162-14F9625FB55C

P356

P1433

Journal of Medical Internet Research

P1476

Patient-reported outcomes as a ...... is of data from PatientsLikeMe

@en

P2093

James Heywood

http://www.w3.org/2001/XMLSchema#string

Jeana Frost

http://www.w3.org/2001/XMLSchema#string

Sally Okun

http://www.w3.org/2001/XMLSchema#string

Timothy Vaughan

http://www.w3.org/2001/XMLSchema#string

P2860

Social uses of personal health information within PatientsLikeMe, an online patient community: what can happen when patients have access to one another's data

Efficacy and safety of modafinil (Provigil) for the treatment of fatigue in multiple sclerosis: a two centre phase 2 study

The Internet and clinical trials: background, online resources, examples and issues

Outcome reporting in industry-sponsored trials of gabapentin for off-label use

Sharing health data for better outcomes on PatientsLikeMe

Treatment of excessive daytime sleepiness in patients with Parkinson's disease with modafinil.

Off-label prescribing among office-based physicians.

Regulating off-label drug use--rethinking the role of the FDA.

Shifting terrain in the regulation of off-label promotion of pharmaceuticals.

Modafinil for daytime somnolence in Parkinson's disease: double blind, placebo controlled parallel trial.

P304

e6

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.2196/JMIR.1643

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

13

http://www.w3.org/2001/XMLSchema#string

P50

P577

2011-01-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

49771654

http://www.w3.org/2001/XMLSchema#string

P698

21252034

http://www.w3.org/2001/XMLSchema#string

P921

P932

3221356

http://www.w3.org/2001/XMLSchema#string