Dataset Information

Online health consultation: examining uses of an interactive cancer communication tool by low-income women with breast cancer.

ABSTRACT:

Purpose

To examine how psychosocial variables predicted use of an online health consultation service among low-income breast cancer patients and in turn how using this service affected these same psychosocial outcomes.

Method

This retrospective study included 231 recently diagnosed, low-income (at or below 250% of the federal poverty level) breast cancer patients provided a free computer with 16 weeks of access to the Internet-based 'Ask an Expert' service offered as part of the Comprehensive Health Enhancement Support System (CHESS) "Living with Breast Cancer" program. The use activity included a total of 502 messages submitted to the online health consultation service. The data included five psychosocial variables: information seeking, social support, health self efficacy, participation in health care, and doctor-patient relationship, were collected at both the pre-test and 16-week post-test after using the service. Correlation tests were conducted to examine the relationship between pre- and post-test, and use activity. A multiple regression model was formed for each of five psychosocial variables to examine how use activity of the consultation service was associated with various psychosocial measurements.

Results

In total, 865 distinct consulting queries from 502 messages were identified as measurement of patients' use activities (3.74 consulting queries per participant). Use activity had significant negative relationships with pre-test scores across all five psychosocial variables. The regression models found significant positive main effects (use activity) associated with three of these psychosocial variables: health self efficacy, participation in health care and doctor-patient relationship. Use activity of the online consultation service did not have significant relationships with the dependent variables of information seeking and perceived social support.

Conclusion

Low-income breast cancer patients sought out information from an online cancer information expert. Patients with more negative perceptions at pre-test tended to use the service more. Greater use of the service was associated with improvement in patients' perception of health self-efficacy, participation in health care and doctor-patient relationship. Moreover, use of online health consultation appears to level the differences, narrowing the gaps between those who were worse and better off at pre-test. These findings suggest that online health consultation can serve as an effective complement to other resources, which help low-income, breast cancer patients feel more confident to participate more actively in their health care, become more actively involved in making decisions about their treatments and enhance the relationship with their doctors.

SUBMITTER: Lu HY

PROVIDER: S-EPMC3627128 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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Publications

Online health consultation: examining uses of an interactive cancer communication tool by low-income women with breast cancer.

Lu Hsueh-Yi HY Shaw Bret R BR Gustafson David H DH

International journal of medical informatics 20110506 7

<h4>Purpose</h4>To examine how psychosocial variables predicted use of an online health consultation service among low-income breast cancer patients and in turn how using this service affected these same psychosocial outcomes.<h4>Method</h4>This retrospective study included 231 recently diagnosed, low-income (at or below 250% of the federal poverty level) breast cancer patients provided a free computer with 16 weeks of access to the Internet-based 'Ask an Expert' service offered as part of the C ...[more]

PMID: 21530381

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Project description:BackgroundGood communication around cancer treatment is essential in helping patients cope with their disease and related care, especially when this information is tailored to one's needs. Despite its importance, communication is often complex, in particular in older patients (aged 65 years or older). In addition to the age-related deterioration in information and memory processing older patients experience, communication is also complicated by their required yet often unmet role of being an active, participatory patient. Older patients rarely express their informational needs and their contributions to consultations are often limited. Therefore, older patients with cancer need to be prepared to participate more actively in their care and treatment.ObjectiveThe objective of this paper was to report the development of PatientVOICE, an online, preparatory tool with audio facility aimed to enhance the participation of older patients during educational nursing encounters preceding chemotherapy and to improve their information recall.MethodsPatientVOICE was developed by applying the following 6 steps of the intervention mapping framework that involved both patients and nurses: (1) needs assessment, (2) specifying determinants and change objectives, (3) reviewing and selecting theoretical methods and practical strategies, (4) developing intervention components, (5) designing adoption and implementation, and (6) making an evaluation plan.ResultsA careful execution of these consecutive steps resulted in the ready-to-use preparatory website. PatientVOICE provides pre-visit information about chemotherapy (ie, medical information, side effects, and recommendations of dealing with side effects), information about the educational nursing visit preceding chemotherapy (ie, aim, structure, and recommendations for preparation), techniques to improve patients' communication skills using a question prompt sheet (QPS) and video-modeling examples showing "best practices", and the opportunity to upload and listen back to an audio recording of a patient's own nursing visit.ConclusionsThe development process resulted in PatientVOICE, a multi-component online intervention targeted to older patients with cancer. PatientVOICE contains information about the treatment as well as information about the role of the patient during treatment. Using different methods (QPS and audio facility), we hope to support these patients during their treatment. In the future, the utility and usability of this complex intervention will be evaluated in a group of older patients who receive or have received chemotherapy.

Project description:BACKGROUND:Continuous enzyme kinetic assays are often used in high-throughput applications, as they allow rapid acquisition of large amounts of kinetic data and increased confidence compared to discontinuous assays. However, data analysis is often rate-limiting in high-throughput enzyme assays, as manual inspection and selection of a linear range from individual kinetic traces is cumbersome and prone to user error and bias. Currently available software programs are specialized and designed for the analysis of complex enzymatic models. Despite the widespread use of initial rate determination for processing kinetic data sets, no simple and automated program existed for rapid analysis of initial rates from continuous enzyme kinetic traces. RESULTS:An Interactive Continuous Enzyme Kinetics Analysis Tool (ICEKAT) was developed for semi-automated calculation of initial rates from continuous enzyme kinetic traces with particular application to the evaluation of Michaelis-Menten and EC50/IC50 kinetic parameters, as well as the results of high-throughput screening assays. ICEKAT allows users to interactively fit kinetic traces using convenient browser-based selection tools, ameliorating tedious steps involved in defining ranges to fit in general purpose programs like Microsoft Excel and Graphpad Prism, while still maintaining simplicity in determining initial rates. As a test case, we quickly analyzed over 500 continuous enzyme kinetic traces resulting from experimental data on the response of the protein lysine deacetylase SIRT1 to small-molecule activators. CONCLUSIONS:ICEKAT allows simultaneous visualization of individual initial rate fits and the resulting Michaelis-Menten or EC50/IC50 kinetic model fits, as well as hits from high-throughput screening assays. In addition to serving as a convenient program for practicing enzymologists, ICEKAT is also a useful teaching aid to visually demonstrate in real-time how incorrect initial rate fits can affect calculated Michaelis-Menten or EC50/IC50 kinetic parameters. For the convenience of the research community, we have made ICEKAT freely available online at https://icekat.herokuapp.com/icekat.

Dataset Information

Online health consultation: examining uses of an interactive cancer communication tool by low-income women with breast cancer.

Purpose

Method

Results

Conclusion

Publications

Online health consultation: examining uses of an interactive cancer communication tool by low-income women with breast cancer.

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