{"title":"评估临床预防服务自我管理问卷调查中潜在的无反应偏倚和测量一致性1","authors":"P. Muhuri","doi":"10.3233/jem-220483","DOIUrl":null,"url":null,"abstract":"Health survey statistics are essential for setting national targets, monitoring population-level trends, and tracking progress in adults’ utilization of preventive health services. However, survey estimates can be subject to nonresponse bias. This paper primarily assesses the potential for nonresponse bias in six utilization estimates from the Clinical Preventive Services Self-Administered Questionnaire (PSAQ) survey. The article highlights several findings. First, the eligible PSAQ sample person’s selective nonresponse associated with influenza vaccinations and blood pressure check-ups reported in the Medical Expenditure Panel Survey provides indirect evidence of overestimating the utilization of those services in the PSAQ survey. Second, the study found a few weighting class variables correlated with PSAQ response propensity and survey variables. Third, surprisingly, base-weighted estimates of preventive service utilization changed little despite multiple post-survey adjustments, suggesting no substantial nonresponse bias. Additionally, the study finds moderate to near-perfect concordance in responses to selected preventive service questions across interview modes.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the potential for nonresponse bias and measurement concordance in the clinical preventive services self-administered questionnaire survey1\",\"authors\":\"P. Muhuri\",\"doi\":\"10.3233/jem-220483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Health survey statistics are essential for setting national targets, monitoring population-level trends, and tracking progress in adults’ utilization of preventive health services. However, survey estimates can be subject to nonresponse bias. This paper primarily assesses the potential for nonresponse bias in six utilization estimates from the Clinical Preventive Services Self-Administered Questionnaire (PSAQ) survey. The article highlights several findings. First, the eligible PSAQ sample person’s selective nonresponse associated with influenza vaccinations and blood pressure check-ups reported in the Medical Expenditure Panel Survey provides indirect evidence of overestimating the utilization of those services in the PSAQ survey. Second, the study found a few weighting class variables correlated with PSAQ response propensity and survey variables. Third, surprisingly, base-weighted estimates of preventive service utilization changed little despite multiple post-survey adjustments, suggesting no substantial nonresponse bias. Additionally, the study finds moderate to near-perfect concordance in responses to selected preventive service questions across interview modes.\",\"PeriodicalId\":53705,\"journal\":{\"name\":\"Journal of Economic and Social Measurement\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic and Social Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/jem-220483\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic and Social Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jem-220483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Assessing the potential for nonresponse bias and measurement concordance in the clinical preventive services self-administered questionnaire survey1
Health survey statistics are essential for setting national targets, monitoring population-level trends, and tracking progress in adults’ utilization of preventive health services. However, survey estimates can be subject to nonresponse bias. This paper primarily assesses the potential for nonresponse bias in six utilization estimates from the Clinical Preventive Services Self-Administered Questionnaire (PSAQ) survey. The article highlights several findings. First, the eligible PSAQ sample person’s selective nonresponse associated with influenza vaccinations and blood pressure check-ups reported in the Medical Expenditure Panel Survey provides indirect evidence of overestimating the utilization of those services in the PSAQ survey. Second, the study found a few weighting class variables correlated with PSAQ response propensity and survey variables. Third, surprisingly, base-weighted estimates of preventive service utilization changed little despite multiple post-survey adjustments, suggesting no substantial nonresponse bias. Additionally, the study finds moderate to near-perfect concordance in responses to selected preventive service questions across interview modes.
期刊介绍:
The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.