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Piras M, Perra A, Gureje O, Preti A, Carta MG. The Current Quality of Web-Based Information on the Treatment of Bipolar Disorder: A Systematic Search. J Clin Med 2022; 11:jcm11185427. [PMID: 36143075 PMCID: PMC9501527 DOI: 10.3390/jcm11185427] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 11/21/2022] Open
Abstract
Background: An important aspect of managing chronic disorders like bipolar disorder is to have access to relevant health information. This study investigates and compares the quality of information on the treatments of bipolar disorder that is available on English websites, as an international language, and on Italian websites, as a popular local language. Methods: A systematic review search was obtained from four search engines. We excluded unrelated materials, scientific papers, and duplicates. We analyzed popularity with PageRank; technological quality with Nibbler; readability with the Flesh Reading Ease test and Gulpease index; quality of information with the DISCERN scale, the JAMA benchmark criteria, and on the extent of adherence to the HONCode. Results: 35 English and 31 Italian websites were included. The English websites were found to have a higher level of quality information and technological quality than the Italian ones. Overall, the websites were found to be difficult to read, requiring a high level of education. Conclusions: These results can be important to inform guidelines for the improvement of health information and help users to reach a higher level of evidence on the websites. Users should find the benefits of treatment, support for shared decision-making, the sources used, the medical editor’s supervision, and the risk of postponing treatment.
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Affiliation(s)
- Martina Piras
- Innovation Sciences and Technologies, University of Cagliari, 09124 Cagliari, Italy
- Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy
| | - Alessandra Perra
- Innovation Sciences and Technologies, University of Cagliari, 09124 Cagliari, Italy
- Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy
- Correspondence: ; Tel.: +39-348-144-4501
| | - Oye Gureje
- Department of Psychiatry, University College Hospital, Ibadan 200285, Nigeria
| | - Antonio Preti
- Department of Neuroscience, University of Turin, 10126 Turin, Italy
| | - Mauro Giovanni Carta
- Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy
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Morton E, Ho K, Barnes SJ, Michalak EE. Digital Health Literacy in Bipolar Disorder: International Web-Based Survey. JMIR Ment Health 2021; 8:e29764. [PMID: 34665143 PMCID: PMC8564668 DOI: 10.2196/29764] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/13/2021] [Accepted: 07/13/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Web-based resources can support people with bipolar disorder (BD) to improve their knowledge and self-management. However, publicly available resources are heterogeneous in terms of their quality and ease of use. Characterizing digital health literacy (the skillset that enable people to navigate and make use of health information in a web-based context) in BD will support the development of educational resources. OBJECTIVE The aim of this study was to develop understanding of digital health literacy and its predictors in people with BD. METHODS A web-based survey was used to explore self-reported digital health literacy (as measured by the e-Health Literacy Scale [eHEALS]) in people with BD. Multiple regression analysis was used to evaluate potential predictors, including demographic/clinical characteristics and technology use. RESULTS A total of 919 respondents (77.9% female; mean age 36.9 years) completed the survey. Older age (β=0.09; P=.01), postgraduate education (β=0.11; P=.01), and current use of self-management apps related to BD (β=0.13; P<.001) were associated with higher eHEALS ratings. CONCLUSIONS Levels of self-reported digital health literacy were comparable or higher than other studies in the general population and specific physical/mental health conditions. However, individuals with BD who are younger, have completed less education, or are less familiar with mental health apps may require extra support to safely and productively navigate web-based health resources. Relevant educational initiatives are discussed. Future studies should evaluate skill development interventions for less digitally literate groups.
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Affiliation(s)
- Emma Morton
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Kendall Ho
- Department of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Steven J Barnes
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Erin E Michalak
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
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Nestsiarovich A, Kumar P, Lauve NR, Hurwitz NG, Mazurie AJ, Cannon DC, Zhu Y, Nelson SJ, Crisanti AS, Kerner B, Tohen M, Perkins DJ, Lambert CG. Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study. JMIR Ment Health 2021; 8:e24522. [PMID: 33688834 PMCID: PMC8100888 DOI: 10.2196/24522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 02/08/2021] [Accepted: 03/09/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Incomplete suicidality coding in administrative claims data is a known obstacle for observational studies. With most of the negative outcomes missing from the data, it is challenging to assess the evidence on treatment strategies for the prevention of self-harm in bipolar disorder (BD), including pharmacotherapy and psychotherapy. There are conflicting data from studies on the drug-dependent risk of self-harm, and there is major uncertainty regarding the preventive effect of monotherapy and drug combinations. OBJECTIVE The aim of this study was to compare all commonly used BD pharmacotherapies, as well as psychotherapy for the risk of self-harm, in a large population of commercially insured individuals, using self-harm imputation to overcome the known limitations of this outcome being underrecorded within US electronic health care records. METHODS The IBM MarketScan administrative claims database was used to compare self-harm risk in patients with BD following 65 drug regimens and drug-free periods. Probable but uncoded self-harm events were imputed via machine learning, with different probability thresholds examined in a sensitivity analysis. Comparators included lithium, mood-stabilizing anticonvulsants (MSAs), second-generation antipsychotics (SGAs), first-generation antipsychotics (FGAs), and five classes of antidepressants. Cox regression models with time-varying covariates were built for individual treatment regimens and for any pharmacotherapy with or without psychosocial interventions ("psychotherapy"). RESULTS Among 529,359 patients, 1.66% (n=8813 events) had imputed and/or coded self-harm following the exposure of interest. A higher self-harm risk was observed during adolescence. After multiple testing adjustment (P≤.012), the following six regimens had higher risk of self-harm than lithium: tri/tetracyclic antidepressants + SGA, FGA + MSA, FGA, serotonin-norepinephrine reuptake inhibitor (SNRI) + SGA, lithium + MSA, and lithium + SGA (hazard ratios [HRs] 1.44-2.29), and the following nine had lower risk: lamotrigine, valproate, risperidone, aripiprazole, SNRI, selective serotonin reuptake inhibitor (SSRI), "no drug," bupropion, and bupropion + SSRI (HRs 0.28-0.74). Psychotherapy alone (without medication) had a lower self-harm risk than no treatment (HR 0.56, 95% CI 0.52-0.60; P=8.76×10-58). The sensitivity analysis showed that the direction of drug-outcome associations did not change as a function of the self-harm probability threshold. CONCLUSIONS Our data support evidence on the effectiveness of antidepressants, MSAs, and psychotherapy for self-harm prevention in BD. TRIAL REGISTRATION ClinicalTrials.gov NCT02893371; https://clinicaltrials.gov/ct2/show/NCT02893371.
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Affiliation(s)
- Anastasiya Nestsiarovich
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Praveen Kumar
- Department of Computer Science, The University of New Mexico, Albuquerque, NM, United States
| | - Nicolas Raymond Lauve
- Department of Computer Science, The University of New Mexico, Albuquerque, NM, United States
| | | | | | | | - Yiliang Zhu
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, The University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Stuart James Nelson
- Biomedical Informatics Center, George Washington University, Washington, DC, DC, United States
| | - Annette S Crisanti
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Berit Kerner
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Douglas J Perkins
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Christophe Gerard Lambert
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States.,Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
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Madden JM, Foxworth PM, Ross-Degnan D, Allen KG, Busch AB, Callahan MX, Lu CY, Wharam JF. Integrating Stakeholder Engagement With Claims-Based Research on Health Insurance Design and Bipolar Disorder. Psychiatr Serv 2021; 72:186-194. [PMID: 33167814 DOI: 10.1176/appi.ps.202000177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Researchers increasingly recognize that stakeholder involvement enhances research relevance and validity. However, reports of patient engagement in research that relies on administrative records data are rare. The authors' collaborative project combined quantitative and qualitative studies of costs and access to care among U.S. adults with employer-sponsored insurance. The authors analyzed insurance claims to estimate the impacts on enrollee costs and utilization after patients with bipolar disorder were switched from traditional coverage to high-deductible health plans. In parallel, in-depth interviews explored people's experiences accessing treatment for bipolar disorder. Academic investigators on the research team partnered with the Depression and Bipolar Support Alliance (DBSA), a national advocacy organization for people with mood disorders. Detailed personal stories from DBSA-recruited volunteers informed and complemented the claims analyses. Several DBSA audience forums and a stakeholder advisor panel contributed regular feedback on study issues. These multiple engagement modes drew inputs of varying intensity from diverse community segments. Efforts to include new voices must acknowledge individuals' distinct interests and barriers to research participation. Strong engagement leadership roles ensure productive communication between researchers and stakeholders. The involvement of people with direct experience of care is especially necessary in research that uses secondary data. Longitudinal, adaptable partnerships enable colearning and higher-quality research that captures the manifold dimensions of patient experiences.
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Affiliation(s)
- Jeanne M Madden
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
| | - Phyllis M Foxworth
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
| | - Dennis Ross-Degnan
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
| | - Kimberly G Allen
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
| | - Alisa B Busch
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
| | - Matthew X Callahan
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
| | - Christine Y Lu
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
| | - James F Wharam
- Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston (Madden); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston (Madden, Ross-Degnan, Callahan, Lu, Wharam); Depression and Bipolar Support Alliance, Chicago (Foxworth, Allen); McLean Hospital, Belmont, Massachusetts, and Department of Health Care Policy, Harvard Medical School, Boston (Busch)
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