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40,909 result(s) for "Data Collection - economics"
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Optimising medication data collection in a large-scale clinical trial
Pharmaceuticals play an important role in clinical care. However, in community-based research, medication data are commonly collected as unstructured free-text, which is prohibitively expensive to code for large-scale studies. The ASPirin in Reducing Events in the Elderly (ASPREE) study developed a two-pronged framework to collect structured medication data for 19,114 individuals. ASPREE provides an opportunity to determine whether medication data can be cost-effectively collected and coded, en masse from the community using this framework. The ASPREE framework of type-to-search box with automated coding and linked free text entry was compared to traditional method of free-text only collection and post hoc coding. Reported medications were classified according to their method of collection and analysed by Anatomical Therapeutic Chemical (ATC) group. Relative cost of collecting medications was determined by calculating the time required for database set up and medication coding. Overall, 122,910 participant structured medication reports were entered using the type-to-search box and 5,983 were entered as free-text. Free-text data contributed 211 unique medications not present in the type-to-search box. Spelling errors and unnecessary provision of additional information were among the top reasons why medications were reported as free-text. The cost per medication using the ASPREE method was approximately USD $0.03 compared with USD $0.20 per medication for the traditional method. Implementation of this two-pronged framework is a cost-effective alternative to free-text only data collection in community-based research. Higher initial set-up costs of this combined method are justified by long term cost effectiveness and the scientific potential for analysis and discovery gained through collection of detailed, structured medication data.
Telephone follow-up was more expensive but more efficient than postal in a national stroke registry
To compare the efficiency and differential costs of telephone- vs. mail-based assessments of outcome in patients registered in a national clinical quality of care registry, the Australian Stroke Clinical Registry (AuSCR). The participants admitted to hospital with stroke or transient ischemic attack were randomly assigned to complete a health questionnaire by mail or telephone interview at 3–6 months postevent. Response rate, researcher burden, and costs of each method were compared. Compared with the participants in the mail questionnaire arm (n=277; 50% female; mean age: 70 years), those in the telephone arm (n=282; 45% female; mean age: 68 years) required a shorter time to complete the follow-up (mean difference: 24.2 days; 95% confidence interval [CI]: 15.0, 33.5 days). However, the average cost of completing a telephone follow-up was greater (US$20.87 vs. US$13.86) and had a similar overall response to the mail method (absolute difference: 0.57%; 95% CI: −4.8%, 6%). Posthospital stroke outcome data were slower to collect by mail, but the method achieved a similar completion rate and was significantly cheaper to conduct than follow-up telephone interview. Findings are informative for planning outcome data collection in large numbers of patients with acute stroke.
How Automation Can Help Alleviate the Budget Crunch in Public Health Research
In an era of severe funding constraints for public health research, more efficient means of conducting research will be needed if scientific progress is to continue. At present major funders, such as the National Institutes of Health, do not provide specific instructions to grant authors or to reviewers regarding the cost efficiency of the research that they conduct. Doing so could potentially allow more research to be funded within current budgetary constraints and reduce waste. I describe how a blinded randomized trial was conducted for$275 000 by completely automating the consent and data collection processes. The study used the participants’ own computer equipment, relied on big data for outcomes, and outsourced some costly tasks, potentially saving $ 1 million in research costs.
Cash incentives improve participation rate in a face-to-face survey: an intervention study
Our study examined the effect of a ChinaYuan (CNY) 10 cash incentive on the participation rate in a face-to-face health survey among the general Chinese population. Subjects older than 15 years of age and had been living in the two selected districts for more than 6 months were selected using multistage random sampling. Participants from only one district received a cash incentive (CNY 10) for completing the survey. The participation rates in the nonincentive and incentive groups were 39.9% and 61.2%, respectively, P < 0.01. In the nonincentive group, the 65–74 years age group had the highest participation rate (54.4%); no significant difference was found between men (39.4%) and women (40.5%), P = 0.59. In the incentive group, the highest participation rate was observed in the ≥75 years (78.1%) age group. The cost for a completed interview was CNY 34.5 in the incentive group and CNY 35.8 in the nonincentive group. Cash incentives might increase participation rates in face-to-face surveys in China. The absolute cost was higher for the incentive group, whereas cost for a completed interview was actually the lowest. Furthermore, participation rate did not differ between men and women, but elders were more likely to participate in health surveys.
Evaluating Patient's Experiences with Individual Physicians: A Randomized Trial of Mail, Internet, and Interactive Voice Response Telephone Administration of Surveys
Background: There is increasing interest in measuring patients' experiences with individual physicians, and empirical evidence supports this area of measurement. However, the high cost of data collection remains a significant barrier. Survey modes with the potential to lower costs, such as Internet and interactive voice response (IVR) telephone, are attractive alternatives to mail, but their comparative response rates and data quality have not been tested. Methods: We randomly assigned adult patients from the panels of 62 primary care physicians in California to complete a brief, validated patient questionnaire by mail, Internet (web), or IVR. After 2 invitations, web and IVR nonrespondents were mailed a paper copy of the survey (\"crossover\" to mail). We analyzed and compared (n = 9126) the response rates, respondent characteristics, substantive responses, and costs by mode (mail, web and IVR) and evaluated the impact of \"crossover\" respondents. Results: Response rates were higher by mail (50.8%) than web (18.4%) or IVR (34.7%), but after crossover mailings, response rates in each arm were approximately 50%. Mail and web produced identical scores for individual physicians, but IVR scores were significantly lower even after adjusting for respondent characteristics. There were no significant physician-mode interactions, indicating that statistical adjustment for mode resolves the IVR effect. Web and IVR costs were higher than mail. Conclusions: The equivalence of individual physician results in mail and web modes is noteworthy, as is evidence that IVR results are comparable after adjustment for mode. However, the higher overall cost of web and IVR, as the result of the need for mailings to support these modes, suggests that they do not presently solve cost concerns related to obtaining physician-specific information from patients.
Inclusion of indigenous and ethnic minority populations in intervention trials: challenges and strategies in a New Zealand supermarket study
Background: The Supermarket Healthy Options Project (SHOP) is a large, randomised, controlled trial designed to evaluate the effect of tailored nutrition education and price discounts on supermarket food purchases. A key objective was to recruit approximately equal numbers of Māori, Pacific and non-Māori, non-Pacific shoppers. This paper describes the recruitment strategies used and evaluates their impact on recruitment of Māori, Pacific and non-Māori, non-Pacific trial participants. Methods: Trial recruitment strategies included mailed invitations to an electronic register of supermarket customers; in-store targeted recruitment; and community-based recruitment. Results: Of the 1103 total trial randomisations for whom ethnicity was known, 247 (22%) were Māori, 101 (9%) Pacific and 755 (68%) were non-Māori, non-Pacific shoppers. Mailed invitations produced the greatest proportion of randomisations (73% vs 7% in-store, and 20% from community recruitment). However, in-store and community recruitment were essential to boost Māori and Pacific samples. The cost of mailout (NZ$40 (£14) per randomised participant) was considerably less than the cost of community and in-store recruitment (NZ$301 (£105) per randomised participant). Conclusions: The findings demonstrate considerable challenges and cost in recruiting indigenous and minority ethnic participants into intervention trials. Researchers and funding organisations should allocate more resources to recruitment of indigenous and minority populations than to recruitment of majority populations. Community recruitment and networks appear to be better ways to recruit these populations than passive strategies like mailouts.
A comparison of small monetary incentives to convert survey non-respondents: a randomized control trial
Background Maximizing response rates is critically important in order to provide the most generalizable and unbiased research results. High response rates reduce the chance of respondents being systematically different from non-respondents, and thus, reduce the risk of results not truly reflecting the study population. Monetary incentives are often used to improve response rates, but little is known about whether larger incentives improve response rates in those who previously have been unenthusiastic about participating in research. In this study we compared the response rates and cost-effectiveness of a $5 versus $2 monetary incentive accompanying a short survey mailed to patients who did not respond or refused to participate in research study with a face-to-face survey. Methods 1,328 non-responders were randomly assigned to receive $5 or $2 and a short, 10-question survey by mail. Reminder postcards were sent to everyone; those not returning the survey were sent a second survey without incentive. Overall response rates, response rates by incentive condition, and odds of responding to the larger incentive were calculated. Total costs (materials, postage, and labor) and incremental cost-effectiveness ratios were also calculated and compared by incentive condition. Results After the first mailing, the response rate within the $5 group was significantly higher (57.8% vs. 47.7%, p < .001); after the second mailing, the difference narrowed by 80%, resulting in a non-significant difference in cumulative rates between the $5 and $2 groups (67.3% vs. 65.4%, respectively, p = .47). Regardless of incentive or number of contacts, respondents were significantly more likely to be male, white, married, and 50-75 years old. Total costs were higher with the larger versus smaller incentive ($13.77 versus $9.95 per completed survey). Conclusions A $5 incentive provides a significantly higher response rate than a $2 incentive if only one survey mailing is used but not if two survey mailings are used.
User-experience surveys with maternity services: a randomized comparison of two data collection models
Objective. To compare two ways of combining postal and electronic data collection for a maternity services user-experience survey. Design. Cross-sectional survey. Setting. Maternity services in Norway. Participants. All women who gave birth at a university hospital in Norway between 1 June and 27 July 2010. Intervention. Patients were randomized into the following groups (n = 752): Group A, who were posted questionnaires with both electronic and paper response options for both the initial and reminder postal requests; and Group B, who were posted questionnaires with an electronic response option for the initial request, and both electronic and paper response options for the reminder postal request. Main outcome measures. Response rate, the amount of difference in background variables between respondents and nonrespondents, main study results and estimated cost-effectiveness. Results. The final response rate was significantly higher in Group A (51.9%) than Group B (41.1%). None of the background variables differed significantly between the respondents and non-respondents in Group A, while two variables differed significantly between the respondents and non-respondents in Group B. None of the 11 user-experience scales differed significantly between Groups A and B. The estimated costs per response for the forthcoming national survey was €11.7 for data collection Model A and €9.0 for Model B. Conclusions. The model with electronic-only response option in the first request had lowest response rate. However, this model performed equal to the other model on non-response bias and better on estimated cost-effectiveness, and is the better of the two models in large-scale user experiences surveys with maternity services.
Comparisons of the Costs and Quality of Norms for the SF-36 Health Survey Collected by Mail versus Telephone Interview: Results from a National Survey
Many health status surveys have been designed for mail, telephone, or inperson administration. However, with rare exception, investigators have not studied the effect the survey mode of administration has on the way respondents assess their health and other important parameters (such as response rates, nonresponse bias, and data quality), which can affect the generalizability of results. Using a national sampling frame of noninstitutionalized adults from the General Social Survey, we randomly assigned adults to a mail survey (80%) or a computer-assisted telephone survey (20%). The surveys were designed to provide national norms for the SF-36 Health Survey. Total data collection costs per case for the telephone survey ($47.86) were 77% higher than that for the mail survey ($27.07). A significantly higher response rate was achieved among respondents randomly assigned to the mail (79.2%) than telephone survey (68.9%). Nonresponse bias was evident in both modes but, with the exception of age, was not differential between modes. The rate of missing responses was higher for mail than telephone respondents (1.59 vs. 0.49 missing items). Health ratings based on the SF-36 scales were less favorable, and reports of chronic conditions were more frequent, for mail than telephone respondents. Results are discussed in light of the trade-offs involved in choosing a survey methodology for health status assessment applications. Norms for mail and telephone versions of the SF-36 survey are provided for use in interpreting individual and group scores.
Four steps to extend drone use in research
Better regulation, flight control, batteries and software would improve the range of craft and data quality, argue Nicholas C. Coops, Tristan R. H. Goodbody and Lin Cao. Better regulation, flight control, batteries and software would improve the range of craft and data quality. Drone flying over a glacier in Iceland