Browsing by Author "Velez, Olivia"
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- ItemDatabase design and implementation for a PDA-based decision support system for screening and tailored care planning.(2008-08-12) Lee, Nam-Ju; Chen, Elizabeth; Mendonca, Eneida A; Velez, Olivia; Bakken, SuzanneThe database architecture for Mobile Decision Support for Advanced Practice Nursing MODS APN a personal digital assistant PDA based decision support system DSS for screening and tailored care planning by APN students consists of 6 Microsoft Access databases for data storage synchronization reporting and PDA user interfaces
- ItemHealth worker perceptions of integrating mobile phones into community case management of malaria in Saraya, Senegal.(2015-05-12) Blanas, Demetri A; Ndiaye, Youssoupha; MacFarlane, Matthew; Manga, Isaac; Siddiqui, Ammar; Velez, Olivia; Kanter, Andrew S; Nichols, Kim; Hennig, NilsBACKGROUND Although community case management of malaria increases access to life saving care in isolated settings it contends with many logistical challenges Mobile phone health information technology may present an opportunity to address a number of these barriers METHODS Using the wireless adaptation of the technology acceptance model this study assessed availability ease of use usefulness and job relevance of mobile phones by health workers in Saraya Senegal RESULTS This study conducted seven key informant interviews with government health workers and three focus groups and 76 surveys with lay health workers Principal findings included that mobile phones are already widely available and used and that participants valued using phones to address training stock management programme reporting and transportation challenges CONCLUSIONS By documenting widespread use of mobile phones and health worker perceptions of their most useful applications this paper provides a framework for their integration into the community case management of malaria programme in Saraya Senegal
- ItemMobile health-based approaches for smoking cessation resources.(2013-06-27) Hyun, Sookyung; Hodorowski, Julie Keany; Nirenberg, Anita; Perocchia, Rosemarie Slevin; Staats, Jo Anne; Velez, Olivia; Bakken, SuzannePURPOSE OBJECTIVES To describe how the National Cancer Institute s Cancer Information Service CIS smoking related resources on a mobile health mHealth platform were integrated into the workflow of RNs in advanced practice nurse APN training and to examine awareness and use of CIS resources and nurses perceptions of the usefulness of those CIS resources DESIGN Descriptive analyses SETTING Acute and primary care sites affiliated with the School of Nursing at Columbia University SAMPLE 156 RNs enrolled in APN training METHODS The integration was comprised of a inclusion of CIS information into mHealth decision support system DSS plan of care b addition of infobutton in the mHealth DSS c Web based information portal for smoking cessation accessible via desktop and the mHealth DSS and d information prescriptions for patient referral MAIN RESEARCH VARIABLES Use and perceived usefulness of the CIS resources FINDINGS 86 of nurses used the mHealth DSS with integrated CIS resources Of the 145 care plan items chosen 122 were referrals to CIS resources infobutton was used 1 571 times Use of CIS resources by smokers and healthcare providers in the metropolitan area of New York City increased during the study period compared to the prestudy period More than 60 of nurses perceived CIS resources as useful or somewhat useful CONCLUSIONS Integration of CIS resources into an mHealth DSS was seen as useful by most participants IMPLICATIONS FOR NURSING Implementation of evidence into workflow using an mHealth DSS can assist nurses in managing smoking cessation in patients and may expand their roles in referring smokers to reliable sources of information KNOWLEDGE TRANSLATION mHealth DSS and information prescriptions may support smoking cessation interventions in primary care settings Smoking cessation interventions can be facilitated through informatics methods and mHealth platforms Nurses referrals of patients to smoking related CIS resources may result in patients use of the resources and subsequent smoking cessation
- ItemPredictors of depression screening rates of nurses receiving a personal digital assistant-based reminder to screen.(2010-07-09) Schnall, Rebecca; Currie, Leanne M; Jia, Haomiao; John, Rita Marie; Lee, Nam-Ju; Velez, Olivia; Bakken, SuzanneThe purpose of this study was to determine if race ethnicity payer type or nursing specialty affected depression screening rates in primary care settings in which nurses received a reminder to screen The sample comprised 4 160 encounters in which nurses enrolled in advanced practice training were prompted to screen for depression using the Patient Health Questionnaire PHQ 2 PHQ 9 integrated into a personal digital assistant based clinical decision support system for depression screening and management Nurses chose to screen in response to 52 5 of reminders Adjusted odds ratios showed that payer type and nurse specialty but not race ethnicity significantly predicted proportion of patients screened
- ItemPsychometric evaluation of a handheld decision support attitudes scale.(2008-08-12) Schnall, Rebecca; Velez, Olivia; Dilone, Joann; Bakken, SuzanneThe authors evaluated the psychometrics of a 14 item scale designed to assess attitudes about handheld decision support software In a sample of 103 nursing students a principal components factor analysis resulted in three factors that explained 55 1 of the variance Internal consistency reliability ranged from 71 83
- ItemPsychometric evaluation of the attitudes toward Handheld Decision Support Software Scale in a sample of nursing students.(2011-04-22) Schnall, Rebecca; Velez, Olivia; John, Rita Marie; Bakken, SuzanneValid measures of attitudes are an important component of developing and testing educational interventions aimed at improving technology acceptance The aim of this study was to assess the construct validity factor analysis and discriminant validity internal consistency reliability Cronbach and responsiveness independent samples t test of the Attitudes toward Handheld Decision Support Software Scale in a sample of 103 nursing students engaged in a set of curricular activities focused on enabling safe and evidence based nursing practice through the use of information technology Principal components factor analysis resulted in three factors ease of use and usefulness clinical support and barriers to use that explained 55 49 of the variance Internal consistency reliability estimates ranged from 61 to 82 Factor scores did not discriminate between nursing students who owned a PDA and those who did not There were no significant changes in factors scores over time responsiveness This study provides preliminary evidence for the factorial structure of the Handheld Decision Support Software Scale and internal consistency of two of the three factor scales Further exploration of the construct validity internal consistency and responsiveness is warranted
- ItemA usability study of a mobile health application for rural Ghanaian midwives.(2014-04-04) Velez, Olivia; Okyere, Portia Boakye; Kanter, Andrew S; Bakken, SuzanneINTRODUCTION Midwives in rural Ghana work at the frontline of the health care system where they have access to essential data about the patient population However current methods of data capture primarily pen and paper make the data neither accessible nor usable for monitoring patient care or program evaluation Electronic health eHealth systems present a potential mechanism for enhancing the roles of midwives by providing tools for collecting exchanging and viewing patient data as well as offering midwives the possibility for receiving information and decision support Introducing such technology in low resource settings has been challenging because of low levels of user acceptance software design that does not match the end user environment and or unforeseen challenges such as irregular power availability These challenges are often attributable to a lack of understanding by the software developers of the end users needs and work environment METHODS A mobile health mHealth application known as mClinic was designed to support midwife access to the Millennium Village Global Network an eHealth delivery platform that captures data for managing patient care as well as program evaluation and monitoring decision making and management We conducted a descriptive usability study composed of 3 phases to evaluate an mClinic prototype 1 hybrid lab live software evaluation of mClinic to identify usability issues 2 completion of a usability questionnaire and 3 interviews that included low fidelity prototyping of new functionality proposed by midwives RESULTS The heuristic evaluation identified usability problems related to 4 of 8 usability categories Analysis of usability questionnaire data indicated that the midwives perceived mClinic as useful but were more neutral about the ease of use Analysis of midwives reactions to low fidelity prototypes during the interview process supported the applicability of mClinic to midwives work and identified the need for additional functionality DISCUSSION User acceptance is essential for the success of any mHealth implementation Usability testing identified mClinic development flaws and needed software enhancements