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Patient-Reported Outcomes As a Source of Evidence in Off-Label Prescribing: Analysis of Data from Patientslikeme

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Patient-Reported Outcomes As a Source of Evidence in Off-Label Prescribing: Analysis of Data from Patientslikeme JOURNAL OF MEDICAL INTERNET RESEARCH Frost et al Original Paper Patient-reported Outcomes as a Source of Evidence in Off-Label Prescribing: Analysis of Data From PatientsLikeMe Jeana Frost1, PhD; Sally Okun2, RN; Timothy Vaughan2, PhD; James Heywood2, BS; Paul Wicks2, PhD 1VU Amsterdam, KankerNL, Amsterdam, Netherlands 2PatientsLikeMe Inc., Cambridge, MA, United States Corresponding Author: Jeana Frost, PhD VU Amsterdam KankerNL De Boelelaan 1081 Amsterdam, 1081 HV Netherlands Phone: 31 20 598 8636 Fax: 31 20 598 6863 Email: [email protected] Abstract Background: Evaluating a new use for an existing drug can be expensive and time consuming. Providers and patients must all too often rely upon their own individual-level experience to inform clinical practice, which generates only anecdotal and unstructured data. While academic-led clinical trials are occasionally conducted to test off-label uses of drugs with expired patents, this is relatively rare. In this work, we explored how a patient-centered online research platform could supplement traditional trials to create a richer understanding of medical products postmarket by efficiently aggregating structured patient-reported data. PatientsLikeMe is a tool for patients, researchers, and caregivers (currently 82,000 members across 11 condition-based communities) that helps users make treatment decisions, manage symptoms, and improve outcomes. Members enter demographic information, longitudinal treatment, symptoms, outcome data, and treatment evaluations. These are reflected back as longitudinal health profiles and aggregated reports. Over the last 3 years, patients have entered treatment histories and evaluations on thousands of medical products. These data may aid in evaluating the effectiveness and safety of some treatments more efficiently and over a longer period of time course than is feasible through traditional trials. Objective: The objective of our study was to examine the illustrative cases of amitriptyline and modafinil ± drugs commonly used off-label. Methods: We analyzed patient-reported treatment histories and drug evaluations for each drug, examining prevalence, treatment purpose, and evaluations of effectiveness, side effects, and burden. Results: There were 1948 treatment histories for modafinil and 1394 treatment reports for amitriptyline reported across five PatientsLikeMe communities (multiple sclerosis, Parkinson©s disease, mood conditions, fibromyalgia/chronic fatigue syndrome, and amyotrophic lateral sclerosis). In these reports, the majority of members reported taking the drug for off-label uses. Only 34 of the 1755 (1%) reporting purpose used modafinil for an approved purpose (narcolepsy or sleep apnea). Only 104 out of 1197 members (9%) reported taking amitriptyline for its approved indication, depression. Members taking amitriptyline for off-label purposes rated the drug as more effective than those who were taking it for its approved indication. While dry mouth is a commonly reported side effect of amitriptyline for most patients, 88 of 220 (40%) of people with amyotrophic lateral sclerosis on the drug reported taking advantage of this side effect to treat their symptom of excess saliva. Conclusions: Patient-reported outcomes, like those entered within PatientsLikeMe, offer a unique real-time approach to understand utilization and performance of treatments across many conditions. These patient-reported data can provide a new source of evidence about secondary uses and potentially identify targets for treatments to be studied systematically in traditional efficacy trials. (J Med Internet Res 2011;13(1):e6) doi: 10.2196/jmir.1643 http://www.jmir.org/2011/1/e6/ J Med Internet Res 2011 | vol. 13 | iss. 1 | e6 | p. 1 (page number not for citation purposes) XSL·FO RenderX JOURNAL OF MEDICAL INTERNET RESEARCH Frost et al KEYWORDS Off-label; Internet; research; patient platform; methods; online community publish significant findings than nonsignificant findings. Third, Introduction there are inconsistencies among medical conditions in the Off-label prescribing is a legal and common practice in the number of options available; off-label medication use is United States [1]. When a manufacturer develops a new frequently the only option for ªorphan conditionsº[1]; and for medication for a particular purpose, the US Food and Drug many medical conditions there is no ªapprovedº treatment. For Administration's (FDA's) [2] Center for Drug Evaluation and instance, a study comparing approved drug indications against Research evaluates the drug's efficacy and utility for that the Diagnostic and Statistical Manual of Mental Disorders, 4th purpose before it is brought to market. However, once the drug edition, text revision (DSM-IV-TR) found that 89% of all is on the market, health care providers are free to prescribe the psychiatric disorders lack approved medications for their drug for either the FDA-approved purpose (ªindicationº) or any treatment [8]. Fourth, the regulations apply only to the most other purpose ± a practice referred to as ªoff-label prescribing.º visible means of promotion, and fail to address continuing Across all major drug categories, it is estimated that 21% of all medical education presentations and events, or oral responses prescriptions are for off-label purposes [3]. to physicians' questions at company-sponsored events, exhibit booths, or in ªdetailingº visits [9]. Finally, it has been noted Off-label prescribing has the potential to be a source of that, as the guidance is not legally binding, enforcement is innovation in medicine. Prescribers can discover novel uses for unlikely. existing medications while monitoring tolerability, safety, and effectiveness. Within their practice they can apply the insight Consequently, there is a need to gather evidence to inform acquired from treating one person to the next case [4]. However, off-label prescribing. Unfortunately, gathering this evidence prescribers may not have an adequate number of cases to can be prohibitively expensive. Running a clinical trial, of the distinguish between a truly meaningful effect of the drug, and type needed to establish the efficacy of a drug for a new purpose, either a placebo effect or the tendency for patients to improve costs US $15,700 for a phase 1 trial and over US $26,000 for on their own. a phase 3 trial per patient [10]. If a drug is already being used widely off-label there may be no incentive for manufacturers Off-label prescribing is often done without supporting medical to evaluate it systematically. evidence [1]. For the estimated 21% of prescriptions given off-label, 73% lacked scientific evidence underlying their use In this paper, we propose a new source of evidence to evaluate [3]. In many cases, patients may be subject to unnecessary, off-label use: patient-reported outcomes entered via an online ineffective, and even harmful treatments. In the past, millions community. An increasing number of patients are going online of women received prophylactic hormone treatment for the to access information about their health and talk to other patients prevention of osteoporosis, for instance. However, systematic about a shared condition [11]. Many patients share advice and evaluation revealed no therapeutic benefit and elevated risks of details about their treatments and symptoms with one another cardiac damage [5]. Patients are extremely unlikely to be aware and with researchers. Clinical trial researchers increasingly use that the FDA has not evaluated the safety and efficacy of their the Internet for recruiting subjects, communicating with treatment for the purpose for which they are using it. participants, and even collecting data [12]. Patient groups like the Life Raft Group for patients with gastrointestinal stromal In 2008 the FDA released a guidance document entitled ªGood tumor have successfully mobilized their members to study the Reprint Practices for the Distribution of Medical Journal Articles effectiveness of investigational treatments [13]. In this work, and Medical or Scientific Reference Publications on Unapproved we suggest how patients, entering outcomes within an online New Uses of Approved Drugs and Approved or Cleared Medical community, could inform how drugs are working for off-label Devicesº [2]. This guidance provides advice for industry on uses by expanding the available evidence base. circulating journal article reprints that contain information on off-label use, such as for the use of modafinil in treating fatigue To conduct this analysis we examined patient reported outcomes in multiple sclerosis (MS) or amitriptyline in treating excessive reported on PatientsLikeMe. PatientsLikeMe is a web-based saliva in amyotrophic lateral sclerosis (ALS). Unfortunately community and research platform where patient members share there are a number of limitations to the application of this details about their treatments, symptoms, and conditions, with guidance. First, the quality of the scientific literature and the the intention of improving their outcomes[14,15]. Patients join informal benchmark of acceptability vary dramatically between communities designed specifically for their condition. At the diseases. The most widely cited paper on the use of modafinil time of writing, there were 11 distinct patient communities and for the treatment of fatigue in MS, for instance, has been cited over 70,000 patient members. The site synthesizes members' nearly 250 times but contained only 65 patients at its 9-week data into interactive reports
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