In a randomized controlled trial, patients preferred electronic data collection of breast cancer risk-factor information in a mammography setting

Aiello, Erin J.; Taplin, Stephen H.; Reid, Robert D.; Hobbs, Maria; Seger, Deborah; Kamel, Hakim; Tufano, James T.; Ballard‐Barbash, Rachel

doi:10.1016/j.jclinepi.2005.07.007

Cited by 40 publications

(36 citation statements)

References 17 publications

(21 reference statements)

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“…Significantly more of the experimental group found the questionnaire easy to follow compared to the control (70 vs. 56 %) [20]. This novel study showed a divide in new media use and acceptance across demographic lines.…”

Section: Discussionmentioning

confidence: 69%

Validation and Assessment of a Technology Familiarity Score in Patients Attending a Symptomatic Breast Clinic

et al. 2015

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Section: Discussionmentioning

confidence: 69%

Validation and Assessment of a Technology Familiarity Score in Patients Attending a Symptomatic Breast Clinic

et al. 2015

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“…Computer-based data collection has already been implemented in a variety of clinical settings and with different patient populations [1,31,70], including low-income, ethnically diverse groups who may have less exposure to computers [7]. An audio component to computer-based data collection may reduce literacy and language barriers [43].…”

Section: Discussionmentioning

confidence: 99%

“…When electronic, patient-based, and interviewer-based collection have been compared in other populations, electronic collection has been preferred [1,64,70] due to ease of use and speed [70]. A previous study in our own clinic performed several years ago using paper forms demonstrated a much lower completion rate and a greater time to assessment completion despite the help of a staff person [21].…”

Section: Workflowmentioning

confidence: 99%

Routine Collection of Patient-Reported Outcomes in an HIV Clinic Setting:The First 100 Patients

Crane¹,

Lober²,

Webster³

et al. 2007

CHR

132

103

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“…Studies in many domains have demonstrated that computer administration of sensitive questions has been shown to increase reporting levels of sensitive behaviors, particularly in comparison with interviewer-based administration [73,74] as patients prefer and are more willing to disclose sensitive information to a computer rather than an interviewer [74][75][76][77][78][79][80][81][82][83][84][85][86][87]. Direct computer entry further enhances the quality of data by not allowing double or ambiguous answers [88], and it is often associated with a lower rate of unanswered questions than paper forms [80,82,85,88,89] because patients must provide a valid response to a question and/or press the "next" button to move on.Besides computer administration, several other alternatives to interviewer-based collection of adherence information are available. These include paper questionnaires, diaries, interactive voice response (IVR) calls, and text messaging.…”

mentioning

confidence: 99%

Self-report measures of medication adherence behavior: recommendations on optimal use

Stirratt

Dunbar‐Jacob

Crane

et al. 2015

Behav. Med. Pract. Policy Res.

591

528

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Medication adherence plays an important role in optimizing the outcomes of many treatment and preventive regimens in chronic illness. Self-report is the most common method for assessing adherence behavior in research and clinical care, but there are questions about its validity and precision. The NIH Adherence Network assembled a panel of adherence research experts working across various chronic illnesses to review selfreport medication adherence measures and research on their validity. Self-report medication adherence measures vary substantially in their question phrasing, recall periods, and response items. Self-reports tend to overestimate adherence behavior compared with other assessment methods and generally have high specificity but low sensitivity. Most evidence indicates that self-report adherence measures show moderate correspondence to other adherence measures and can significantly predict clinical outcomes. The quality of self-report adherence measures may be enhanced through efforts to use validated scales, assess the proper construct, improve estimation, facilitate recall, reduce social desirability bias, and employ technologic delivery. Self-report medication adherence measures can provide actionable information despite their limitations. They are preferred when speed, efficiency, and low-cost measures are required, as is often the case in clinical care. KeywordsAdherence, Compliance, Self-management, Medication, Self-report Valid measurement of medication adherence plays a crucial role in healthcare and health research. When a patient is not benefiting from a medication regimen, clinicians need sound adherence information to determine whether the medication is ineffective or not being taken as prescribed. Assessing medication adherence during routine clinical care can further ensure that individuals in need of adherence support interventions receive them, ideally before deleterious outcomes occur. In the context of clinical research, proper interpretation of proof-of-concept trials testing new pharmacologic regimens requires valid adherence data, because any null findings may stem from poor adherence rather than a lack of drug efficacy. Research designed to understand and promote medication adherence also requires precise methods of adherence assessment.Among many approaches to assessing medication adherence, patient self-report measures remain the most common method [1][2][3][4][5][6]. These measures are defined by asking respondents to characterize their medication adherence behavior. Self-report measures of medication adherence range from simple singleitem questions regarding missed doses to complex multi-item assessments that incorporate reasons for nonadherence [7]. The widespread use of self-report adherence measures in clinical care and research reflects their low cost and ease of implementation across a large variety of medication regimens.There are two primary challenges related to selfreport measures of medication adherence. ImplicationsPractice: Routine assessment of medication...

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In a randomized controlled trial, patients preferred electronic data collection of breast cancer risk-factor information in a mammography setting

Cited by 40 publications

References 17 publications

Validation and Assessment of a Technology Familiarity Score in Patients Attending a Symptomatic Breast Clinic

Validation and Assessment of a Technology Familiarity Score in Patients Attending a Symptomatic Breast Clinic

Routine Collection of Patient-Reported Outcomes in an HIV Clinic Setting:The First 100 Patients

Self-report measures of medication adherence behavior: recommendations on optimal use

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