Adjusting and censoring electronic monitoring device data. Implications for study outcomes
dc.contributor.author | Fennie, Kristopher P. | |
dc.contributor.author | Bova, Carol A. | |
dc.contributor.author | Williams, Ann B. | |
dc.date | 2022-08-11T08:09:05.000 | |
dc.date.accessioned | 2022-08-23T16:17:12Z | |
dc.date.available | 2022-08-23T16:17:12Z | |
dc.date.issued | 2006-11-30 | |
dc.date.submitted | 2008-06-16 | |
dc.identifier.citation | J Acquir Immune Defic Syndr. 2006 Dec 1;43 Suppl 1:S88-95. <a href="http://dx.doi.org/10.1097/01.qai.0000248336.97814.2f">Link to article on publisher's site</a> | |
dc.identifier.issn | 1525-4135 (Print) | |
dc.identifier.doi | 10.1097/01.qai.0000248336.97814.2f | |
dc.identifier.pmid | 17133208 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/34506 | |
dc.description.abstract | Electronic monitoring device (EMD) data are widely used to measure adherence in HIV medication adherence research. EMD data represent an objective measure of adherence and arguably provide more valid data than other methods such as self-reported measures, pill counts, and drug level concentration. Moreover, EMD data are longitudinal, include many measurements, and yield a rich data set. This article illustrates potential pitfalls associated with this measurement technique, including lack of clarity associated with EMD data, and the extent to which adherence outcomes are affected by data management decisions. Recommendations are given regarding what information should be included in publications that report results based on EMD data so as to facilitate comparisons between studies. | |
dc.language.iso | en_US | |
dc.relation | <a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=17133208&dopt=Abstract ">Link to article in PubMed</a> | |
dc.relation.url | http://dx.doi.org/10.1097/01.qai.0000248336.97814.2f | |
dc.subject | Anti-HIV Agents | |
dc.subject | Data Collection | |
dc.subject | Drug Monitoring | |
dc.subject | Drug Packaging | |
dc.subject | HIV Infections | |
dc.subject | Humans | |
dc.subject | Medical Records | |
dc.subject | Patient Compliance | |
dc.subject | Research | |
dc.subject | Nursing | |
dc.subject | Public Health and Community Nursing | |
dc.title | Adjusting and censoring electronic monitoring device data. Implications for study outcomes | |
dc.type | Journal Article | |
dc.source.journaltitle | Journal of acquired immune deficiency syndromes (1999) | |
dc.source.volume | 43 Suppl 1 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/gsn_pp/2 | |
dc.identifier.contextkey | 530685 | |
html.description.abstract | <p>Electronic monitoring device (EMD) data are widely used to measure adherence in HIV medication adherence research. EMD data represent an objective measure of adherence and arguably provide more valid data than other methods such as self-reported measures, pill counts, and drug level concentration. Moreover, EMD data are longitudinal, include many measurements, and yield a rich data set. This article illustrates potential pitfalls associated with this measurement technique, including lack of clarity associated with EMD data, and the extent to which adherence outcomes are affected by data management decisions. Recommendations are given regarding what information should be included in publications that report results based on EMD data so as to facilitate comparisons between studies.</p> | |
dc.identifier.submissionpath | gsn_pp/2 | |
dc.contributor.department | Center for Infectious Disease and Vaccine Research | |
dc.contributor.department | Graduate School of Nursing | |
dc.source.pages | S88-95 |