Dataset Information

Physicians' perspectives regarding non-medical switching of prescription medications: Results of an internet e-survey.

ABSTRACT: BACKGROUND:Physicians are in an ideal position to describe the impact of medication non-medical switching (switching commonly due to formulary changes by insurer for reasons unrelated to patient health) on their practice dynamics and patient care. We sought to examine physicians' openness to requests for non-medical switching and their experiences and opinions regarding the impact of non-medical switching on their practice, staff and patients. METHODS:An online survey of randomly-sampled physicians spending ?10% of time providing patient care and having received ?1 non-medical switch request during the prior 12-months. The impact of non-medical switching on clinical decision-making process; professional experience with clinical practice, patient-physician relationship, insurance process; and perceived impact on practice, staff and patients were assessed. Weighted percent responses were calculated. RESULTS:We sampled 1,010 physicians (response rate = 55.5%). Many responded being frequently not amenable (26.0%) or had reservations (41.8%) to non-medical switch requests; with >50% indicating patient stability on current therapy and suboptimal alternatives as factors frequently influencing amenability. Physicians agreed non-medical switching can create ethical concerns (clinical judgement, autonomy, ability to treat per guidelines; 74.8%, 82.3%, 53.5%, respectively), while forcing them to take responsibility for insurers' decisions (81.1%) and diverting their clinical time (84.3%). Most indicated non-medical switching increased practice burden (administrative, non-billable interactions, additional staffing, non-office patient contact, calls to/from the pharmacy; 85.0%, 72.5%, 62.2%, 64.2%, 69.5%, respectively). Physicians felt insurer processes discouraged non-medical switch challenges (76.7%) and required inconvenient lengths-of-time (76.1%) speaking to insurer representatives without proper expertise (62.0%). They believed non-medical switching negatively impacted aspects of care (effectiveness, side-effects, medication adherence and abandonment, out-of-pocket costs, medication errors; 46.5%, 53.2%, 50.6%, 49.4%, 59.6%, 54.5%, respectively). CONCLUSIONS:Physicians were frequently not amenable or had reservations regarding non-medical switching. They noted ethical concerns due to non-medical switching. Most felt non-medical switches burdened their practice and negatively impacted care.

SUBMITTER: Salam T

PROVIDER: S-EPMC6953849 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Physicians' perspectives regarding non-medical switching of prescription medications: Results of an internet e-survey.

Salam Tabassum T Duhig Amy A Patel Aarti A AA Cameron Ann A Voelker Jennifer J Bookhart Brahim B Coleman Craig I CI

PloS one 20200110 1

<h4>Background</h4>Physicians are in an ideal position to describe the impact of medication non-medical switching (switching commonly due to formulary changes by insurer for reasons unrelated to patient health) on their practice dynamics and patient care. We sought to examine physicians' openness to requests for non-medical switching and their experiences and opinions regarding the impact of non-medical switching on their practice, staff and patients.<h4>Methods</h4>An online survey of randomly- ...[more]

PMID: 31923201

Similar Datasets

Project description:BackgroundNon-medical switching refers to a change in a stable patient's prescribed medication to a clinically distinct, non-generic, alternative for reasons other than poor clinical response, side-effects or non-adherence.ObjectiveTo assess the perceptions of high-volume Medicare and/or Medicaid physician providers regarding the impact non-medical switching has on their patients' medication-related outcomes and health-care utilization.MethodsWe performed an e-survey of high-volume Medicare and/or Medicaid physicians (spending >50% of their time caring for Medicare and/or Medicaid patients), practicing for >2 years but <30 years post-residency and/or fellowship; working in a general, internal, family medicine or specialist setting; spending ≥40% of their time providing direct care and having received ≥1 request for a non-medical switch in the past 12 months. Physicians were queried on 15-items to assess perceptions regarding the impact non-medical switching on medication-related outcomes and health-care utilization.ResultsThree-hundred and fifty physicians were included. Respondents reported they felt non-medical switching, to some degree, increased side-effects (54.0%), medication errors (56.0%) and medication abandonment (60.3%), and ~50% believed it increased patients' out-of-pocket costs. Few physicians (≤13.4% for each) felt non-medical switching had a positive impact on effectiveness, adherence or patients' or physicians' confidence in the quality-of-care provided. Non-office visit and prescriber-pharmacy contact were most frequently thought to increase due to non-medical switching. One-third of physicians felt office visits were very frequently/frequently increased, and ~ 1-in-5 respondents believed laboratory testing and additional medication use very frequently/frequently increased following a non-medical switch. About 1-in-10 physicians felt non-medical switching very frequently/frequently increased the utilization of emergency department or in-hospital care.ConclusionThis study suggests high-volume Medicare and/or Medicaid physician providers perceive multiple negative influences of non-medical switching on medication-related outcomes and health-care utilization.

Project description:BackgroundSubstance use, including the non-medical use of prescription medications, is a global health problem resulting in hundreds of thousands of overdose deaths and other health problems. Social media has emerged as a potent source of information for studying substance use-related behaviours and their consequences. Mining large-scale social media data on the topic requires the development of natural language processing (NLP) and machine learning frameworks customized for this problem. Our objective in this research is to develop a framework for conducting a content analysis of Twitter chatter about the non-medical use of a set of prescription medications.MethodsWe collected Twitter data for four medications-fentanyl and morphine (opioids), alprazolam (benzodiazepine), and Adderall® (stimulant), and identified posts that indicated non-medical use using an automatic machine learning classifier. In our NLP framework, we applied supervised named entity recognition (NER) to identify other substances mentioned, symptoms, and adverse events. We applied unsupervised topic modelling to identify latent topics associated with the chatter for each medication.ResultsThe quantitative analysis demonstrated the performance of the proposed NER approach in identifying substance-related entities from data with a high degree of accuracy compared to the baseline methods. The performance evaluation of the topic modelling was also notable. The qualitative analysis revealed knowledge about the use, non-medical use, and side effects of these medications in individuals and communities.ConclusionsNLP-based analyses of Twitter chatter associated with prescription medications belonging to different categories provide multi-faceted insights about their use and consequences. Our developed framework can be applied to chatter about other substances. Further research can validate the predictive value of this information on the prevention, assessment, and management of these disorders.

Project description:ObjectivesThe aim of this study was to compare the prescription patterns according to characteristics of physicians using a survey distributed amongst physicians in Korea.MethodsWe surveyed the prescription patterns for allergic rhinitis (AR) of the members of the Korean Academy of Asthma, Allergy and Clinical Immunology (KAAACI) and the Korean Association of Otorhinolaryngologists (KAO). Questionnaire contained 4 categories with 28 queries. 448 physicians including 98 internal medicine (IM), 113 pediatrics (PED), and 237 otorhinolaryngology (ENT) were responded.ResultsAlthough the Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines are most frequently used in all specialties, seasonal or perennial AR is the most frequent classification system. For the definitive diagnosis of AR, ENT physicians reported using multiple allergen simultaneous test (MAST)/radio allergy sorbent test (RAST) more than others (IM, 10.9%; PED, 20.6%; ENT, 44.2%; P<0.001). In treatment, most physicians reported that antihistamine medication is the initial treatment for AR. PED physicians prescribed fewer intranasal steroid to combinations with an antihistamine than other specialists (IM, 65.3%; PED, 42.5%; ENT, 63.3%), but preferred leukotriene antagonists (IM, 4.1%; PED, 23.0%; ENT, 3.9%; P=0.041). Overall, 53% (235/448) of the physicians performed allergen immunotherapy (AIT), and IM administers the most AIT (IM, 71.6%; PED, 42.0%; ENT, 39.5%; P=0.019). Furthermore, university and general hospital physicians prescribed more AIT than doctors at other hospital types (university hospital, 76.4%; general hospital, 64.3%; local hospital, 21.4%; private clinic, 20.2%; P<0.001).ConclusionThe prescription patterns for AR were different according to the physicians' characteristics and general rate of prescribing AIT is just about 53% in Korea. Thus, the development of complementary Korean-specific guidelines is needed and proper clinical instruction of AIT would be necessary.

Project description:BackgroundAntiretroviral treatment for HIV-infection before immunologic decline (early ART) and pre-exposure chemoprophylaxis (PrEP) can prevent HIV transmission, but routine adoption of these practices by clinicians has been limited.MethodsBetween September and December 2013, healthcare practitioners affiliated with a regional AIDS Education and Training Center in New England were invited to complete online surveys assessing knowledge, beliefs and practices regarding early ART and PrEP. Multivariable models were utilized to determine characteristics associated with prescribing intentions and practices.ResultsSurveys were completed by 184 practitioners. Respondent median age was 44 years, 58% were female, and 82% were white. Among ART-prescribing clinicians (61% of the entire sample), 64% were aware that HIV treatment guidelines from the Department of Health and Human Services recommended early ART, and 69% indicated they would prescribe ART to all HIV-infected patients irrespective of immunologic status. However, 77% of ART-prescribing clinicians would defer ART for patients not ready to initiate treatment. Three-fourths of all respondents were aware of guidance from the U.S. Centers for Disease Control and Prevention recommending PrEP provision, 19% had prescribed PrEP, and 58% of clinicians who had not prescribed PrEP anticipated future prescribing. Practitioners expressed theoretical concerns and perceived practical barriers to prescribing early ART and PrEP. Clinicians with higher percentages of HIV-infected patients (aOR 1.16 per 10% increase in proportion of patients with HIV-infection, 95% CI 1.01-1.34) and infectious diseases specialists (versus primary care physicians; aOR 3.32, 95% CI 0.98-11.2) were more likely to report intentions to prescribe early ART. Higher percentage of HIV-infected patients was also associated with having prescribed PrEP (aOR 1.19, 95% CI 1.06-1.34), whereas female gender (aOR 0.26, 95% CI 0.10-0.71) was associated with having not prescribed PrEP.ConclusionsThese findings suggest many clinicians have shifted towards routinely recommending early ART, but not PrEP, so interventions to facilitate PrEP provision are needed.

Dataset Information

Physicians' perspectives regarding non-medical switching of prescription medications: Results of an internet e-survey.

Publications

Physicians' perspectives regarding non-medical switching of prescription medications: Results of an internet e-survey.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets