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Dive into the research topics where Steven Tally is active.

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Featured researches published by Steven Tally.


JAMA Internal Medicine | 2008

Internet Patient Decision Support: A Randomized Controlled Trial Comparing Alternative Approaches for Men Considering Prostate Cancer Screening

Dominick L. Frosch; Vibha Bhatnagar; Steven Tally; Charles J. Hamori; Robert M. Kaplan

BACKGROUND We conducted a randomized controlled trial to evaluate the effects of patient decision support Web sites on decision quality for men considering prostate cancer screening. METHODS Men older than 50 years (N = 611) were randomly assigned to 1 of 4 Internet conditions: traditional didactic decision aid providing information about prostate-specific antigen (PSA) screening options and outcomes; chronic disease trajectory model for prostate cancer followed by a time-trade-off exercise; both the didactic decision aid and the chronic disease trajectory model; or links to public prostate cancer-specific Web sites from credible sources (control condition). Participants completed questionnaires at baseline and after their physical examination. Primary outcome measures were PSA test choice, prostate cancer treatment preferences, knowledge and concern about prostate cancer, and decisional conflict. RESULTS Participants assigned to view public Web sites were less likely to review information (116 participants [76.8%] reviewed) than those assigned to experimental groups (399 [86.7%] reviewed; P = .004). Greater reductions in PSA screening from pretest to posttest were observed among participants assigned to the traditional decision aid (-9.1%) or chronic disease trajectory model (-8.7%), compared with participants assigned to the combination (-5.3%) or control (-3.3%) groups (P = .047). Preferences for watchful waiting increased significantly in all 4 groups (baseline, 219 [35.8%]; follow-up, 303 [66.2%]; P < .001). Knowledge scores were lowest for those assigned to public Web sites (mean [SD] score, 7.49 [0.19] of questions correct) and highest for the traditional decision aid (8.65 [0.18] of questions correct; P = .005). CONCLUSION Public Web sites about prostate cancer provide less effective decision support than a specially designed Internet decision aid.


Journal of Clinical Epidemiology | 2011

Five preference-based indexes in cataract and heart failure patients were not equally responsive to change

Robert M. Kaplan; Steven Tally; Ron D. Hays; David Feeny; Theodore G. Ganiats; Mari Palta; Dennis G. Fryback

OBJECTIVE To compare the responsiveness to clinical change of five widely used preference-based health-related quality-of-life indexes in two longitudinal cohorts. STUDY DESIGN AND SETTING Five generic instruments were simultaneously administered to 376 adults undergoing cataract surgery and 160 adults in heart failure management programs. Patients were assessed at baseline and reevaluated after 1 and 6 months. The measures were the Short Form (SF)-6D (based on responses scored from SF-36v2), Self-Administered Quality of Well-being Scale (QWB-SA), the EuroQol-5D developed by the EuroQol Group, the Health Utilities Indexes Mark 2 (HUI2) and Mark 3 (HUI3). Cataract patients completed the National Eye Institute Visual Functioning Questionnaire-25, and heart failure patients completed the Minnesota Living with Heart Failure Questionnaire. Responsiveness was estimated by the standardized response mean. RESULTS For cataract patients, mean changes between baseline and 1-month follow-up for the generic indices ranged from 0.00 (SF-6D) to 0.052 (HUI3) and were statistically significant for all indexes except the SF-6D. For heart failure patients, only the SF-6D showed significant change from baseline to 1 month, whereas only the QWB-SA change was significant between 1 and 6 months. CONCLUSIONS Preference-based methods for measuring health outcomes are not equally responsive to change.


Quality of Life Research | 2013

Measuring the impact of cataract surgery on generic and vision-specific quality of life

Erik J. Groessl; Lin Liu; Marisa Sklar; Steven Tally; Robert M. Kaplan; Theodore G. Ganiats

PurposeCataracts are the leading cause of blindness worldwide and cause visual impairment for millions of adults in the United States. We compared the sensitivity of a vision-specific health-related quality of life (HRQOL) measure to that of multiple generic measures of HRQOL before and at 2 time points after cataract surgery.MethodsParticipants completed 1 vision-specific and 5 generic quality of life measures before cataract surgery, and again 1 and 6 months after surgery. Random effects modeling was used to measure changes over the three assessment points.ResultsThe NEI-VFQ25 total score and all 11 subscales showed significant improvements during the first interval (baseline and 1 month). During the second interval (1–6 months post-surgery), significant improvements were observed on the total score and 5 of 11 NEI-VFQ25 subscales. There were significant increases in HRQOL during the first interval on some preference-based generic HRQOL measures, though changes during the second interval were mostly non-significant. None of the SF-36v2™ or SF6D scales changed significantly between any of the assessment periods.ConclusionsThe NEI-VFQ25 was sensitive to changes in vision-specific domains of QOL. Some preference-based generic HRQOL measures were also sensitive to change and showed convergence with the NEI-VFQ25, but the effects were small. The SF-36v2™ and SF-6D did not change in a similar manner, possibly reflecting a lack of vision-related content. Studies seeking to document both the vision-specific and generic HRQOL improvements of cataract surgery should consider these results when selecting measures.


Community Mental Health Journal | 2011

Evaluating a Measure of Social Health Derived from Two Mental Health Recovery Measures: The California Quality of Life (CA-QOL) and Mental Health Statistics Improvement Program Consumer Survey (MHSIP)

Jordan A. Carlson; Andrew J. Sarkin; Ashley Levack; Marisa Sklar; Steven Tally; Todd P. Gilmer; Erik J. Groessl

Social health is important to measure when assessing outcomes in community mental health. Our objective was to validate social health scales using items from two broader commonly used measures that assess mental health outcomes. Participants were 609 adults receiving psychological treatment services. Items were identified from the California Quality of Life (CA-QOL) and Mental Health Statistics Improvement Program (MHSIP) outcome measures by their conceptual correspondence with social health and compared to the Social Functioning Questionnaire (SFQ) using correlational analyses. Pearson correlations for the identified CA-QOL and MSHIP items with the SFQ ranged from .42 to .62, and the identified scale scores produced Pearson correlation coefficients of .56, .70, and, .70 with the SFQ. Concurrent validity with social health was supported for the identified scales. The current inclusion of these assessment tools allows community mental health programs to include social health in their assessments.


Journal of Community Health | 2013

Gender Differences in Adapting Driving Behavior to Accommodate Visual Health Limitations

Andrew J. Sarkin; Steven Tally; Jennalee Wooldridge; Kyle Choi; Marian M. Shieh; Robert M. Kaplan

This study investigated whether men and women are equally likely to adapt their driving behaviors in response to visual limitations. Participants were 376 (222 women and 154 men) pre-surgical cataract patients from the Shiley Eye Center in La Jolla, California. All participants completed the National Eye Institute Visual Functioning Questionnaire, which assesses self-reported visual symptoms, functional limitations, and behaviors including driving during the day, at night, or in difficult conditions. Visual acuity was assessed using the log of the minimal angle of resolution (LogMAR) scale. There were no significant differences in LogMAR visual acuity between men and women who reported either that they stopped driving at night because of visual impairment or reported having no difficulty driving at night. Of participants who reported having difficulty driving at night, mean weighted LogMAR scores indicated significantly better visual acuity for women than men. There were no significant differences in LogMAR visual acuity between women and men in any of the difficult driving condition categories. Significantly more women than men reported that they stopped driving in difficult conditions because of eyesight, despite the lack of gender differences in visual acuity for this sample. We found no evidence that cataract disease had different effects on the visual acuity of older adult men and women. However, there was a significant difference between genders in self-reported driving behavior. It is possible that some women are more cautious or have less need to drive. However, failing to adapt driving behaviors to accommodate visual limitations may represent a potential behavioral public health risk for men.


Administration and Policy in Mental Health | 2013

The Impact of the San Diego Wildfires on a General Mental Health Population Residing in Evacuation Areas

Steven Tally; Ashley Levack; Andrew J. Sarkin; Todd P. Gilmer; Erik J. Groessl

San Diego County Mental Health system clients completed a questionnaire after the October 2007 wildfires. As compared to those not in an evacuation area, those residing in an evacuation area reported significantly more impact of the fires. Clients who evacuated were most affected, followed by those in an evacuation area who did not evacuate. Evacuation strongly impacted client-reported emotional effects of the fire, confusion about whether to evacuate, and ability to obtain medications. Gender and clinical diagnosis interacted with evacuation status for some fire impact variables. Loss of control and disruption of routine are discussed as possibly related factors.


Value in Health | 2009

Evaluation of an Internet-Based Disease Trajectory Decision Tool for Prostate Cancer Screening

Vibha Bhatnagar; Dominick L. Frosch; Steven Tally; Charles J. Hamori; Leslie A. Lenert; Robert M. Kaplan

OBJECTIVE To evaluate the application of a chronic disease model (CDM) for prostate cancer to visual analog scale (VAS) and time trade-off (TTO) decision tools. METHODS A total of 138 men (mean age 58 years) viewed a CDM module for prostate cancer with and without prostate specific antigen (PSA) screening. Participants rated their hypothetical quality of life with potential prostate cancer treatment complications using a CDM-based VAS decision tool. They were then asked to estimate how many years they would be willing to trade to be free of treatment complications using a CDM-based TTO decision tool. The consistency between VAS and TTO scores and the relationship between scores and preferences for PSA screening test and hypothetical treatment choice for prostate cancer were then evaluated. RESULTS There was a significant relationship between the VAS and TTO ratings (regression P < 0.001). The TTO tool was sensitive to age. Mean scores with standard deviations for those less than 58 years compared to those 58 years and more were 7.78 (1.75) and 8.41 (1.52), respectively (P = 0.04). Using the VAS tool, men who chose PSA screening had higher quality of life ratings compared to men who did not choose PSA screening: 7.73 (1.78) and 6.59 (2.39), respectively (P = 0.01). Similar results were found with the TTO decision tool: 8.33 (1.45) and 7.04 (2.00), respectively (P = 0.005). Men who would hypothetically prefer treatment for moderately differentiated prostate cancer also had higher TTO scores compared to men who preferred watchful waiting: 8.54 (1.39) and 7.85 (1.73), respectively (P = 0.04). CONCLUSION CDM-based for prostate cancer, VAS and TTO ratings were consistent and were concordant with patient preferences for screening; TTO ratings were also concordant with treatment choice. The use of the CDM-based TTO ratings to adjust for quality of life in decision analytic modeling needs to be explored.


Journal of Managed Care Pharmacy | 2018

Cost-Effectiveness of a Pharmacogenetic Test to Guide Treatment for Major Depressive Disorder

Erik J. Groessl; Steven Tally; Naomi Hillery; Alejandra Maciel; Jorge A. Garces

BACKGROUND Recent clinical trials indicate that pharmacogenetic-guided treatment of major depressive disorder (MDD) results in higher treatment response rates by genetically matching patients to medications and avoiding a trial-and-error process. OBJECTIVE To evaluate the cost-effectiveness of a pharmacogenetic test (IDGx) that has demonstrated effectiveness compared with standard of care (SOC) medication management among patients with varied MDD severity. METHODS Data from a large prospective, randomized controlled trial of treatment-naive patients or patients with inadequately controlled MDD in general practice and psychiatric treatment settings were used to build a Markov state-transition probability model. Analyses were conducted from the societal perspective. Treatment response rates, mortality rates, direct and indirect medical costs, and utility inputs were derived from the reference study and published scientific literature. The cost of the pharmacogenetic test was


Quality of Life Research | 2013

A qualitative investigation of visual tasks with which to assess distance-specific visual function

Mark J. Atkinson; Steven Tally; Christopher W. Heichel; Igor Kozak; Jennifer Leich; Ashley Levack

2,000. A 3% discount rate was used to discount costs and effects. Univariate one-way sensitivity analyses were performed to determine the effect of input parameters on net monetary benefit. RESULTS For moderate to severe MDD, the model estimated a cumulative effect over 3 years of 2.07 quality-adjusted life-years (QALYs) for the pharmacogenetic-guided treatment group and 1.97 QALYs for the SOC group, including a lower probability of death from suicide (0.328% and 0.351%, respectively). Total costs over 3 years were


Quality of Life Research | 2013

Development and validation of a mental health subscale from the Quality of Well-Being Self-Administered

Andrew J. Sarkin; Erik J. Groessl; Jordan A. Carlson; Steven Tally; Robert M. Kaplan; William J. Sieber; Theodore G. Ganiats

44,697 (IDGx) and

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Igor Kozak

University of California

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Ashley Levack

University of California

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