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At least 253 records · Page 14Linked to original sources

Impact of alternative interventions on changes in generic dispensing rates.

OBJECTIVES: To evaluate the effectiveness of four alternative interventions (member mailings, advertising campaigns, free generic drug samples to physicians, and physician financial incentives) used by a major health insurer to encourage its members to switch to generic drugs. METHODS: Using claim-level data from Blue Cross Blue Shield of Michigan, we evaluated the success of four interventions implemented during 2000-2003 designed to increase the use of generic drugs among its members. Around 13 million claims involving seven important classes of drugs were used to assess the effectiveness of the interventions. For each intervention a control group was developed that most closely resembled the corresponding intervention group. Logistic regression models with interaction effects between the treatment group (intervention versus control) and the status of the intervention (active versus not active) were used to evaluate if the interventions had an effect on the generic dispensing rate (GDR). Because the mail order pharmacy was considered more aggressive at converting prescriptions to generics, separate generic purchasing models were fitted to retail and mail order claims. In secondary analyses separate models were also fitted to claims involving a new condition and claims refilled for preexisting conditions. RESULTS: The interventions did not appear to increase the market penetration of generic drugs for either retail or mail order claims, or for claims involving new or preexisting conditions. In addition, we found that the ratio of copayments for brand name to generic drugs had a large positive effect on the GDR. CONCLUSIONS: The interventions did not appear to directly influence the GDR. Financial incentives expressed to consumers through benefit designs have a large influence on their switching to generic drugs and on the less-costly mail-order mode of purchase.

Advertising↗

An example of maximizing survey return rates. Methodological issues for health professionals.

Obtaining a high response rate in survey research can bolster statistical power, reduce sampling error, and enhance the generalizability of the results to the population surveyed. We describe a mail survey designed to achieve a high return rate of completed questionnaires from members of the American Psychological Association who were engaged in clinical practice. We adapted the Total Design Method for survey research and were able to achieve a high response rate (68%) among health professionals. This was not an experiment in which we assessed the best method to increase survey response rates, hence we cannot empirically evaluate how each of the steps influenced our overall response rate. Future research is needed to identify the relative effectiveness of each of these principles in enhancing survey response rates. Research is also needed to distinguish general principles that apply across populations from those that must be tailored to specific subpopulations.

Child↗

A review of policy change regarding how patients access their HIV test results at two genitourinary medicine services in Central London.

A retrospective note audit was carried out across two genitourinary (GU) medicine services in Central London to review a radical change in policy one year after its implementation that allows patients assessed as low risk for HIV infection to receive their HIV result by post. Sixteen patients tested positive across the two clinics but had arranged to receive their results by post. Their recall management and outcomes are discussed.

Communication↗

Does a health plan effort to increase smokers' awareness of cessation medication coverage increase utilization and cessation?

PURPOSE: To test whether a mailing describing new coverage for smoking cessation medications increases benefit knowledge, utilization, and quitting. METHODS: This randomized controlled trial assigned participants to benefit communication via (1) standard contract changes or (2) enhanced communication with direct-to-member postcards. A sample of 1930 self-identified smokers from two Minnesota health plans took surveys before and 1 year after the benefit's introduction. The follow-up response rate was 80%. A multilevel logistic estimator tested for differences in benefit knowledge and smoking behavior from baseline. RESULTS: More enhanced than standard communication respondents knew about the benefit (39.0% vs. 22.2%, p < .0001) at follow-up. Groups did not differ on bupropion utilization (24.6% vs. 23.1%, p = .92); nicotine replacement therapy utilization (26.9% vs. 25.9%, p = .26), or cessation (12.8% vs. 15.6%, p = .32). CONCLUSION: Although limited by the low intervention intensity and potential social desirability bias, information about new coverage alone does not appear to increase quitting behaviors.

Adult↗

Mail surveys: obsolescent model or valuable instrument in general practice research?

QUESTION UNDER STUDY: Due to low response rates mail surveys have been called into question as research instruments in general practice. The most effective actions to reduce non-response, such as financial incentives and complex follow-up procedures, are costly. We investigated whether a good response rate is achievable with a less costly survey design, and examined the effect of increased response rates due to repeated follow-ups on survey results. METHODS: In a mail survey on drug interactions among 2000 general practitioners in south-west Germany, most well-known criteria influencing response rates were met except financial incentives. A four stage design with two reminders was applied and the time course of response was recorded. Results after both reminders were calculated with 95% confidence intervals and compared with initial results using the Jonckheere-Terpstra test with correction for multiple testing. A p <0.01 was considered significant. RESULTS: Although we did not provide financial incentives we achieved a response rate of 60.8% with our survey design. The first reminder with a simple postcard was almost three times less effective than the second reminder including another copy of the questionnaire. For only two survey questions, the answers of late respondents differed significantly from those of initial respondents (p <0.01). For these two questions, cumulative results after both reminders never differed from initial results by more than 3.7%. CONCLUSION: Even if financial incentives are not affordable, good response rates can be obtained among general practitioners when surveys are meticulously planned and implemented. Potential non-response bias introduced by those general practitioners who do not answer despite numerous reminders, cannot be tested by comparing early and late respondents. Therefore, we suggest that the impact of reminders on survey results should be assessed early. If no bias can be detected one further reminder with a copy of the questionnaire might result in estimates very similar to those after numerous reminders.

Drug Interactions↗

SF-36 scores vary by method of administration: implications for study design.

BACKGROUND: Previous research suggests that people respond differently to health status measures when data are collected by interview or self completion of a questionnaire. The objective of this study was to determine whether SF-36 health status scores differ systematically by method of administration. METHOD: A randomized cross-over study was carried out on 210 new attenders at general medicine, endocrinology, gastroenterology and urological out-patient departments. The outcome was the difference in SF-36 profiles comparing clinic based interviews with self completion at home by the same subjects. RESULTS: For seven of the eight variables of the SF-36 scores were lower in the self assessment, the differences being statistically significant in four of the eight comparisons. The largest differences were in role limitations due to emotional problems (difference 14.74, 95 per cent confidence interval (CI) 7.76-21.7) and social function (difference 7.21, 95 per cent CI 3.19-11.23). CONCLUSIONS: Clinic based interviews systematically exaggerate health status compared with self assessment. The difference is sufficiently large to underestimate the effectiveness of health service interventions when a clinic based pre-intervention and postal self completed follow-up design is used, unless adjustment is made for this systematic bias.

Analysis of Variance↗

Does sponsorship matter in patient satisfaction surveys? A randomized trial.

The purpose of this study was to assess the impact of sponsorship of a mailed satisfaction survey on response patterns and patient satisfaction ratings, and to establish whether satisfaction ratings depend on the timing of response. The study was part of a patient satisfaction survey conducted in a medical group practice in Geneva, Switzerland. All persons who had received an outpatient visit at the medical practice in the last week of September 1993 were assigned randomly to receiving the survey package either on university letterhead or on the medical practice letterhead. Participation rates were 80.5% and 80.4% in the two groups, respectively. The sponsorship of the survey had no detectable impact on response speed or response completeness. Six out of seven satisfaction scores were higher in the "medical practice" group, but the differences were not statistically significant. As data collection progressed, the cumulative satisfaction rating decreased gradually. This association was statistically significant but moderate. Whether a satisfaction survey is sponsored by a university or a health care provider does not seem to affect survey results. However, low survey response rates may moderately bias satisfaction estimates toward higher values.

Data Collection↗

Undergraduate medical student education: the case for a national curriculum.

Thirty-eight teaching hospital affiliated accident and emergency departments were surveyed by post to try to find if there had been any change in undergraduate medical student teaching over the past 10 years. Twenty-six departments replied. The results showed that although there has been an improvement in the teaching of A&E medicine to undergraduates in the past few years there are still some medical schools where an A&E attachment is not mandatory. In those departments providing teaching, there is wide variation in course duration and content.

Curriculum↗

Questionnaire color and response rates to mailed surveys. A randomized trial and a meta-analysis.

The authors conducted a randomized trial in Geneva, Switzerland, to assess whether response rates to a mailed survey could be increased by printing the questionnaire on green paper. The authors also conducted a meta-analysis of 10 experimental studies that tested the effect of colored questionnaires on response rates. The randomized trial showed no effect (relative risk of responding [RR] = 1.00). The meta-analysis showed that mailing questionnaires on pink paper increased response rates by 12% (RR = 1.12, 95% confidence interval = 1.01 to 1.25, p = 0.04). Other colors had no statistically significant effect (blue: RR = 1.03, p = 0.49; green: RR = 1.02, p = 0.23; yellow: RR = 0.96, p = 0.30). Overall, using colored instead of white paper had no effect (RR = 1.02, p = 0.17). Thus, printing questionnaires on colored paper does not substantially increase response rates in surveys, except for pink paper.

Adult↗

Applying mail response enhancement techniques to health care surveys: a cost-benefit approach.

A study of over 1200 persons gave insights into the effectiveness of different appeals in a mail survey for a health-care facility. The influences of financial incentives, contributions to charity and time appeals were studied. Not only was the practical effectiveness of the three different appeals investigated, the cost of obtaining the response rates with each was also shown. The range of response rates was from 25% to 67%. The average cost per return for the different methods ranged from $2.87 to $5.64. A method of testing for the potential bias in a survey is also presented.

Bias↗