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Health Communication Commons

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Articles 1 - 10 of 10

Full-Text Articles in Health Communication

Psychometric Development Of The Research And Knowledge Scale, Lauren R. Powell, Elizabeth Ojukwu, Sharina D. Person, Jeroan J. Allison, Milagros C. Rosal, Stephenie C. Lemon Feb 2017

Psychometric Development Of The Research And Knowledge Scale, Lauren R. Powell, Elizabeth Ojukwu, Sharina D. Person, Jeroan J. Allison, Milagros C. Rosal, Stephenie C. Lemon

University of Massachusetts Medical School Faculty Publications

BACKGROUND: Many research participants are misinformed about research terms, procedures, and goals; however, no validated instruments exist to assess individual's comprehension of health-related research information. We propose research literacy as a concept that incorporates understanding about the purpose and nature of research.

OBJECTIVES: We developed the Research and Knowledge Scale (RaKS) to measure research literacy in a culturally, literacy-sensitive manner. We describe its development and psychometric properties.

RESEARCH DESIGN: Qualitative methods were used to assess perspectives of research participants and researchers. Literature and informed consent reviews were conducted to develop initial items. These data were used to develop initial ...


Impact Of A Collective Intelligence Tailored Messaging System On Smoking Cessation: The Perspect Randomized Experiment, Rajani S. Sadasivam, Erin M. Borglund, Roy Adams, Benjamin M. Marlin, Thomas K. Houston Nov 2016

Impact Of A Collective Intelligence Tailored Messaging System On Smoking Cessation: The Perspect Randomized Experiment, Rajani S. Sadasivam, Erin M. Borglund, Roy Adams, Benjamin M. Marlin, Thomas K. Houston

UMass Center for Clinical and Translational Science Supported Publications

BACKGROUND: Outside health care, content tailoring is driven algorithmically using machine learning compared to the rule-based approach used in current implementations of computer-tailored health communication (CTHC) systems. A special class of machine learning systems ("recommender systems") are used to select messages by combining the collective intelligence of their users (ie, the observed and inferred preferences of users as they interact with the system) and their user profiles. However, this approach has not been adequately tested for CTHC.

OBJECTIVE: Our aim was to compare, in a randomized experiment, a standard, evidence-based, rule-based CTHC (standard CTHC) to a novel machine learning CTHC ...


Health Literacy-Listening Skill And Patient Questions Following Cancer Prevention And Screening Discussions, Kathleen M. Mazor, Donald L. Rubin, Douglas W. Roblin, Andrew E. Williams, Paul K. J. Han, Bridget Gaglio, Sarah L. Cutrona, Mary E. Costanza, Joann L. Wagner Aug 2016

Health Literacy-Listening Skill And Patient Questions Following Cancer Prevention And Screening Discussions, Kathleen M. Mazor, Donald L. Rubin, Douglas W. Roblin, Andrew E. Williams, Paul K. J. Han, Bridget Gaglio, Sarah L. Cutrona, Mary E. Costanza, Joann L. Wagner

University of Massachusetts Medical School Faculty Publications

OBJECTIVE: Patient question-asking is essential to shared decision making. We sought to describe patients' questions when faced with cancer prevention and screening decisions, and to explore differences in question-asking as a function of health literacy with respect to spoken information (health literacy-listening).

METHODS: Four-hundred and thirty-three (433) adults listened to simulated physician-patient interactions discussing (i) prophylactic tamoxifen for breast cancer prevention, (ii) PSA testing for prostate cancer and (iii) colorectal cancer screening, and identified questions they would have. Health literacy-listening was assessed using the Cancer Message Literacy Test-Listening (CMLT-Listening). Two authors developed a coding scheme, which was applied to all ...


Health Information Brokers In The General Population: An Analysis Of The Health Information National Trends Survey 2013-2014, Sarah L. Cutrona, Kathleen M. Mazor, Amenah A. Agunwamba, Sruthi Valluri, Patrick M. Wilson, Rajani S. Sadasivam, Lila J. Finney Rutten Jun 2016

Health Information Brokers In The General Population: An Analysis Of The Health Information National Trends Survey 2013-2014, Sarah L. Cutrona, Kathleen M. Mazor, Amenah A. Agunwamba, Sruthi Valluri, Patrick M. Wilson, Rajani S. Sadasivam, Lila J. Finney Rutten

Open Access Articles

BACKGROUND: Health information exchanged between friends or family members can influence decision making, both for routine health questions and for serious health issues. A health information broker is a person to whom friends and family turn for advice or information on health-related topics. Characteristics and online behaviors of health information brokers have not previously been studied in a national population.

OBJECTIVE: The objective of this study was to examine sociodemographic characteristics, health information seeking behaviors, and other online behaviors among health information brokers.

METHODS: Data from the Health Information National Trends Survey (2013-2014; n=3142) were used to compare brokers ...


Collective-Intelligence Recommender Systems: Advancing Computer Tailoring For Health Behavior Change Into The 21st Century, Rajani S. Sadasivam, Sarah L. Cutrona, Rebecca L. Kinney, Benjamin M. Marlin, Kathleen M. Mazor, Stephenie C. Lemon, Thomas K. Houston Mar 2016

Collective-Intelligence Recommender Systems: Advancing Computer Tailoring For Health Behavior Change Into The 21st Century, Rajani S. Sadasivam, Sarah L. Cutrona, Rebecca L. Kinney, Benjamin M. Marlin, Kathleen M. Mazor, Stephenie C. Lemon, Thomas K. Houston

UMass Center for Clinical and Translational Science Supported Publications

BACKGROUND: What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based ...


Automatically Recognizing Medication And Adverse Event Information From Food And Drug Administration's Adverse Event Reporting System Narratives, Balaji Polepalli Ramesh, Steven M. Belknap, Zuofeng Li, Nadya Frid, Dennis P. West, Hong Yu Jun 2014

Automatically Recognizing Medication And Adverse Event Information From Food And Drug Administration's Adverse Event Reporting System Narratives, Balaji Polepalli Ramesh, Steven M. Belknap, Zuofeng Li, Nadya Frid, Dennis P. West, Hong Yu

UMass Center for Clinical and Translational Science Supported Publications

BACKGROUND: The Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS) is a repository of spontaneously-reported adverse drug events (ADEs) for FDA-approved prescription drugs. FAERS reports include both structured reports and unstructured narratives. The narratives often include essential information for evaluation of the severity, causality, and description of ADEs that are not present in the structured data. The timely identification of unknown toxicities of prescription drugs is an important, unsolved problem.

OBJECTIVE: The objective of this study was to develop an annotated corpus of FAERS narratives and biomedical named entity tagger to automatically identify ADE related information in ...


Adult Willingness To Use Email And Social Media For Peer-To-Peer Cancer Screening Communication: Quantitative Interview Study, Sarah L. Cutrona, Douglas W. Roblin, Joann L. Wagner, Bridget Gaglio, Andrew E. Williams, Rosalie A. Torres Stone, Terry S. Field, Kathleen M. Mazor Nov 2013

Adult Willingness To Use Email And Social Media For Peer-To-Peer Cancer Screening Communication: Quantitative Interview Study, Sarah L. Cutrona, Douglas W. Roblin, Joann L. Wagner, Bridget Gaglio, Andrew E. Williams, Rosalie A. Torres Stone, Terry S. Field, Kathleen M. Mazor

University of Massachusetts Medical School Faculty Publications

BACKGROUND: Adults over age 40 are increasing their use of email and social media, raising interest in use of peer-to-peer Internet-based messaging to promote cancer screening.

OBJECTIVE: The objective of our study was to assess current practices and attitudes toward use of email and other e-communication for peer-to-peer dialogues on cancer screening.

METHODS: We conducted in-person interviews with 438 insured adults ages 42-73 in Georgia, Hawaii, and Massachusetts. Participants reported on use of email and other e-communication including social media to discuss with peers routine health topics including breast and colorectal cancer (CRC). We ascertained willingness to share personal CRC ...


Share2quit: Web-Based Peer-Driven Referrals For Smoking Cessation, Rajani S. Sadasivam, Erik M. Volz, Rebecca L. Kinney, Sowmya R. Rao, Thomas K. Houston Sep 2013

Share2quit: Web-Based Peer-Driven Referrals For Smoking Cessation, Rajani S. Sadasivam, Erik M. Volz, Rebecca L. Kinney, Sowmya R. Rao, Thomas K. Houston

University of Massachusetts Medical School Faculty Publications

BACKGROUND: Smoking is the number one preventable cause of death in the United States. Effective Web-assisted tobacco interventions are often underutilized and require new and innovative engagement approaches. Web-based peer-driven chain referrals successfully used outside health care have the potential for increasing the reach of Internet interventions.

OBJECTIVE: The objective of our study was to describe the protocol for the development and testing of proactive Web-based chain-referral tools for increasing the access to Decide2Quit.org, a Web-assisted tobacco intervention system.

METHODS: We will build and refine proactive chain-referral tools, including email and Facebook referrals. In addition, we will implement respondent-driven ...


Medtxting: Learning Based And Knowledge Rich Sms-Style Medical Text Contraction, Feifan Liu, Soheil Moosavinasab, Thomas K. Houston, Hong Yu Nov 2012

Medtxting: Learning Based And Knowledge Rich Sms-Style Medical Text Contraction, Feifan Liu, Soheil Moosavinasab, Thomas K. Houston, Hong Yu

Population and Quantitative Health Sciences Publications

In mobile health (M-health), Short Message Service (SMS) has shown to improve disease related self-management and health service outcomes, leading to enhanced patient care. However, the hard limit on character size for each message limits the full value of exploring SMS communication in health care practices. To overcome this problem and improve the efficiency of clinical workflow, we developed an innovative system, MedTxting (available at http://medtxting.askhermes.org), which is a learning-based but knowledge-rich system that compresses medical texts in a SMS style. Evaluations on clinical questions and discharge summary narratives show that MedTxting can effectively compress medical texts ...


Web-Based Smoking Cessation Intervention That Transitions From Inpatient To Outpatient: Study Protocol For A Randomized Controlled Trial, Kathleen F. Harrington, Julie A. Mcdougal, Maria Pisu, Bin Zhang, Rajani S. Sadasivam, Thomas K. Houston, William C. Bailey Aug 2012

Web-Based Smoking Cessation Intervention That Transitions From Inpatient To Outpatient: Study Protocol For A Randomized Controlled Trial, Kathleen F. Harrington, Julie A. Mcdougal, Maria Pisu, Bin Zhang, Rajani S. Sadasivam, Thomas K. Houston, William C. Bailey

Population and Quantitative Health Sciences Publications

BACKGROUND: E-health tools are a new mechanism to expand patient care, allowing supplemental resources to usual care, including enhanced patient-provider communication. These applications to smoking cessation have not yet been tested in a hospitalized patient sample. This project aims to evaluate the effectiveness and cost-effectiveness of a tailored web-based and e-message smoking cessation program for current smokers that, upon hospital discharge, transitions the patient to continue a quit attempt when home (Decide2Quit).

DESIGN: A randomized two-arm follow-up design will test the effectiveness of an evidence- and theoretically-based smoking cessation program designed for post-hospitalization.

METHODS: 1488 patients aged 19 or older ...