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Biomedical subjects

F Reed Johnson

Publications and source records attributed to F Reed Johnson.

11 recordsLinked to original sources
PubMed2006

Stated preferences of patients with cancer for health-related quality-of-life (HRQOL) domains during treatment.

OBJECTIVES: It is postulated that patients with different cancer diagnoses, stages of disease and treatments will exhibit different individual preferences for health-related quality-of-life (HRQOL) functional domains and symptoms. METHODS: A stated-preference (SP) instrument incorporating all functional domains and symptoms of the EORTC Quality of Life Questionnaire (QLQ-C30) was administered to 400 patients with either breast (n = 150); colorectal (n = 150) or non-small cell lung cancer (n = 100) who had previously experienced chemotherapy. The SP survey asked patients to make choices between a series of hypothetical functional/symptom pairs defined by combinations of HRQOL attributes, and depicted by levels of functioning and symptomatology. RESULTS: In the 400 patients, considered as one group, role, cognitive, and social functioning, fatigue, nausea/vomiting, pain, appetite loss, diarrhea and financial difficulties were most important, whereas physical and emotional functioning, dyspnea, constipation and insomnia were less important. The four effects that patients with breast cancer most wished to avoid were nausea and vomiting, pain, and decreases in emotional and role functioning. Patients with colorectal cancer listed diarrhea as the second most important effect to avoid (after nausea/vomiting, but before pain and role functioning), whereas those with non-small cell lung cancer listed dyspnea as the fourth most important effect to avoid. CONCLUSION: These results provide more precise information regarding patient treatment concerns than that provided by the usual measurement of HRQOL. This information can be used by clinical trial investigators to design more precise interventions to improve HRQOL in the domains of greatest importance to patients and by all health care professionals to improve counseling of patients.

Aged↗
PubMed2006

Are chemotherapy patients' HRQoL importance weights consistent with linear scoring rules? A stated-choice approach.

OBJECTIVE: To compare a linear scoring rule with the subjective importance of different domain and symptom levels of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) among patients undergoing chemotherapy. METHODS: Using a stated-choice or choice-format conjoint analysis survey instrument, we elicited patient preferences for varying levels of physical, role, social, emotional, and cognitive function along with chemotherapy-related side effects and financial difficulties. A total of 375 patients completed the questionnaire: 159 breast cancer, 117 colorectal cancer, 99 non-small-cell lung cancer; and 21 with unknown tumor type. Constrained maximum likelihood estimates were used to estimate relative importance weights for each level of each domain and symptom. RESULTS: Summary HRQoL measures generally presume that differences among Likert categories are equally important to patients within and across outcomes. Our results indicate strong non-linearities both within and across domain and symptom categories. Improvements from severe pain to mild pain, severe fatigue to no fatigue, and severe social limitations to moderate social limitations are all about twice as important as no work to limited work in the Role domain. CONCLUSIONS: Our results indicate large differences in the impact of individual domains and symptoms on patient perceptions of well-being. Most cancer patients are likely to be less concerned about specific symptoms than the impact of those symptoms on their ability to function physically, socially, and in their daily roles.

Antineoplastic Agents↗
PubMed2006

High-risk individuals' willingness to pay for diabetes risk-reduction programs.

OBJECTIVE: The purpose of this study was to estimate how much at-risk individuals are willing to pay for type 2 diabetes primary prevention programs. RESEARCH DESIGN AND METHODS: An Internet-based, choice-format conjoint survey was presented to individuals at elevated risk for type 2 diabetes. Hypothetical diabetes risk-reduction programs included seven features: diet, exercise, counseling, medication, weight loss goal, risk reduction, and program costs. The sample included 582 individuals aged > or =45 years, two-thirds of whom were obese. Conditional logit models were used to calculate participants' willingness to pay for risk reduction programs. Each respondent's self-assessed risk of developing diabetes was compared with an objective measure based on a diabetes screening tool. RESULTS: Many respondents underestimated their personal risk of developing diabetes. Those with a low perceived risk were less likely to indicate that they would participate in a diabetes prevention program. Individuals had the strongest preference for programs with large weight loss goals, fewer restrictions on diet, and larger reductions in the risk of diabetes. Respondents were willing to pay approximately $1,500 over 3 years to participate in a lifestyle intervention program similar to the Diabetes Prevention Program. Individuals with a high perceived risk were willing to pay more than individuals with lower perceived risk. CONCLUSIONS: Many individuals will be willing to participate in interventions to delay or prevent diabetes if the interventions are subsidized, but most will be unwilling to pay the full program cost. Our results also offer insights for designing risk-reduction programs that appeal to potential participants.

Attitude to Health↗
PubMed2003

An experiment on simplifying conjoint analysis designs for measuring preferences.

In conjoint analysis (CA) studies, choosing between scenarios with multiple health attributes may be demanding for respondents. This study examined whether simplifying the choice task in CA designs, by using a design with more overlap of attribute levels, provides advantages over standard minimal-overlap methods. Two experimental conditions, minimal and increased-overlap discrete choice CA designs, were administered to 353 respondents as part of a larger HIV testing preference survey. In the minimal-overlap survey, all six attribute levels were allowed to vary. In the increased-overlap survey, an average of two attribute levels were the same between each set of scenarios. We hypothesized that the increased-overlap design would reduce cognitive burden, while minimally impacting statistical efficiency. We did not find any significant improvement in consistency, willingness to trade, perceived difficulty, fatigue, or efficiency, although several results were in the expected direction. However, evidence suggested that there were differences in stated preferences. The results increase our understanding of how respondents answer CA questions and how to improve future surveys.

AIDS Serodiagnosis↗
PubMed2002

Economic evaluation of the benefits of reducing acute cardiorespiratory morbidity associated with air pollution.

BACKGROUND: Few assessments of the costs and benefits of reducing acute cardiorespiratory morbidity related to air pollution have employed a comprehensive, explicit approach to capturing the full societal value of reduced morbidity. METHODS: We used empirical data on the duration and severity of episodes of cardiorespiratory disease as inputs to complementary models of cost of treatment, lost productivity, and willingness to pay to avoid acute cardiorespiratory morbidity outcomes linked to air pollution in epidemiological studies. A Monte Carlo estimation procedure was utilized to propagate uncertainty in key inputs and model parameters. RESULTS: Valuation estimates ranged from 13 dollars (1997, Canadian) (95% confidence interval, 0-28 dollars) for avoidance of an acute respiratory symptom day to 5,200 dollars (4,000 dollars-6,400 dollars) for avoidance of a cardiac hospital admission. Cost of treatment accounted for the majority of the overall value of cardiac and respiratory hospital admissions as well as cardiac emergency department visits, while lost productivity generally represented a small proportion of overall value. Valuation estimates for days of restricted activity, asthma symptoms and acute respiratory symptoms were sensitive to alternative assumptions about level of activity restriction. As an example of the application of these values, we estimated that the observed decrease in particulate sulfate concentrations in Toronto between 1984 and 1999 resulted in annual benefits of 1.4 million dollars (95% confidence interval 0.91-1.8 million dollars) in relation to reduced emergency department visits and hospital admissions for cardiorespiratory disease. CONCLUSION: Our approach to estimating the value of avoiding a range of acute morbidity effects of air pollution addresses a number of limitations of the current literature, and is applicable to future assessments of the benefits of improving air quality.

Air Pollutants↗
PubMed2002

Measuring preferences for health care interventions using conjoint analysis: an application to HIV testing.

OBJECTIVE: To examine preferences for HIV test methods using conjoint analysis, a method used to measure economic preferences (utilities). DATA SOURCES: Self-administered surveys at four publicly funded HIV testing locations in San Francisco, California, between November 1999 and February 2000 (n = 365, 96 percent response rate). STUDY DESIGN: We defined six important attributes of HIV tests and their levels (location, price, ease of collection, timeliness/accuracy, privacy/anonymity, and counseling). A fractional factorial design was used to develop scenarios that consisted of combinations of attribute levels. Respondents were asked 11 questions about whether they would choose "Test A or B" based on these scenarios. DATA ANALYSIS: We used random effects probit models to estimate utilities for testing attributes. Since price was included as an attribute, we were able to estimate willingness to pay, which provides a standardized measure for use in economic evaluations. We used extensive analyses to examine the reliability and validity of the results, including analyses of: (1) preference consistency, (2) willingness to trade among attributes, and (3) consistency with theoretical predictions. PRINCIPAL FINDINGS: Respondents most preferred tests that were accurate/timely and private/anonymous, whereas they had relatively lower preferences for in-person counseling. Respondents were willing to pay an additional $35 for immediate, highly accurate results; however, they had a strong disutility for receiving immediate but less accurate results. By using conjoint analysis to analyze new combinations of attributes, we found that respondents would most prefer instant, highly accurate home tests, even though they are not currently available in the U.S. Respondents were willing to pay $39 for a highly accurate, instant home test. CONCLUSIONS: The method of conjoint analysis enabled us to estimate utilities for specific attributes of HIV tests as well as the overall utility obtained from various HIV tests, including tests that are under consideration but not yet available. Conjoint analysis offers an approach that can be useful for measuring and understanding the value of other health care goods, services, and interventions.

AIDS Serodiagnosis↗
PubMed2002

Measuring what people value: a comparison of "attitude" and "preference" surveys.

OBJECTIVE: To compare and contrast methods and findings from two approaches to valuation used in the same survey: measurement of "attitudes" using simple rankings and ratings versus measurement of "preferences" using conjoint analysis. Conjoint analysis, a stated preference method, involves comparing scenarios composed of attribute descriptions by ranking, rating, or choosing scenarios. We explore possible explanations for our findings using focus groups conducted after the quantitative survey. METHODS: A self-administered survey, measuring attitudes and preferences for HIV tests, was conducted at HIV testing sites in San Francisco in 1999-2000 (n = 365, response rate = 96 percent). Attitudes were measured and analyzed using standard approaches. Conjoint analysis scenarios were developed using a fractional factorial design and results analyzed using random effects probit models. We examined how the results using the two approaches were both similar and different. RESULTS: We found that "attitudes" and "preferences" were generally consistent, but there were some important differences. Although rankings based on the attitude and conjoint analysis surveys were similar, closer examination revealed important differences in how respondents valued price and attributes with "halo" effects, variation in how attribute levels were valued, and apparent differences in decision-making processes. CONCLUSIONS: To our knowledge, this is the first study to compare attitude surveys and conjoint analysis surveys and to explore the meaning of the results using post-hoc focus groups. Although the overall findings for attitudes and preferences were similar, the two approaches resulted in some different conclusions. Health researchers should consider the advantages and limitations of both methods when determining how to measure what people value.

AIDS Serodiagnosis↗
PubMedDate not supplied

Eliciting stated preferences for health-technology adoption criteria using paired comparisons and recommendation judgments.

OBJECTIVES: The principal aim of this study was to illustrate applying discrete-choice methods for eliciting preferences for technology adoption criteria, including threshold values for cost-effectiveness ratios. A secondary objective was to compare the criteria weights of a sample of industry stakeholders with the results obtained from a study of National Institute for Health and Clinical Excellence (NICE) recommendations. METHODS: We administered a two-stage stated-preference (SP) question format to a sample of respondents who have expertise in applying economic analysis to technology adoption decisions. We elicited paired comparisons and recommendation judgments for similar criteria from a sample of International Society for Pharmacoeconomics and Outcomes Research members. Respondents evaluated nine pairs of hypothetical drugs, first indicating which drug was "better," then indicating what they would recommend to a reimbursement authority such as the National Health Service. Stated-choice studies often obtain only paired-comparison judgments. RESULTS: Parameter estimates from the initial paired-comparison question indicate only incremental cost-effectiveness ratio and number of affected patients influence evaluations. These two factors have identical weights in the second recommendation question, but all four factors were considered in determining the recommendation threshold. Our sample was more willing than NICE to accept trade-offs between cost-effectiveness and other drug features and was less concerned about cost-effectiveness ratios and information uncertainty. Nevertheless, our sample was in agreement with NICE about the importance of the number of patients who would benefit as a criterion for influencing adoption recommendations. CONCLUSION: This study demonstrates that including a question allowing respondents the opportunity to reject both alternatives in a forced-choice paired comparison can be important for obtaining accurate preference estimates. Our results demonstrate that SP methods offer a feasible means of quantifying a broad set of valuations that incorporate the preferences of patient, citizen, payer, and other stakeholder groups.

Academies and Institutes↗