Dataset Information

A Web-Based Alcohol Risk Communication Tool: Development and Pretesting Study.

ABSTRACT: BACKGROUND:Alcohol use is a major public health concern associated with an increased risk of morbidity and mortality. Health professionals in primary care commonly see patients with a range of alcohol-related risks and problems, providing an ideal opportunity for screening and brief intervention (BI). OBJECTIVE:This study aimed to develop a prototype for a Web-based tool for use by primary care health professionals (eg, doctors and nurses) to communicate alcohol harm risk to their patients and to engage with them regarding ways this risk could be reduced. METHODS:Following conceptualization and development of prototype wireframes, formative work and pretesting were undertaken. For the formative work, focus groups and key informant interviews were conducted with potential end users of the risk communication tool, including health professionals and consumers. The focus groups and interviews explored perceptions of alcohol risk communication and obtained feedback on the initial prototype. For pretesting, participants (primary care doctors and nurses) completed a Web-based survey followed by a period of pretesting before completion of a follow-up survey. The study was designed to gain feedback on the tool's performance in real-world settings as well as its relevance, ease of use, and any suggested refinements. RESULTS:In the formative work stage, 11 key informants and 7 consumers participated in either focus groups or individual interviews. Participants were very positive about the prototype and believed that it would be useful and acceptable in practice. Key informants identified that the key point of difference with the tool was that it provided all the pieces in 1 place (ie, assessment, interpretation, and resources to support change). Participants provided feedback on how the tool could be improved, and these suggestions were incorporated into the prototype where possible. In the pretesting stage, 7 people (5 doctors and 2 primary care nurses) completed the pretesting. Participants reported that the tool provided a useful framework for an intervention, that it would be acceptable to patients, that it was easy to use, that they would be likely to use it in practice, and that there were no technical issues. CONCLUSIONS:The alcohol risk communication tool was found to be acceptable and has the potential to increase the confidence of health professionals in assessing risk and providing BI.

SUBMITTER: Kool B

PROVIDER: S-EPMC6966553 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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A Web-Based Alcohol Risk Communication Tool: Development and Pretesting Study.

Kool Bridget B Dobson Rosie R Sharpe Sarah S Humphrey Gayl G Whittaker Robyn R Ameratunga Shanthi S

JMIR formative research 20200102 1

<h4>Background</h4>Alcohol use is a major public health concern associated with an increased risk of morbidity and mortality. Health professionals in primary care commonly see patients with a range of alcohol-related risks and problems, providing an ideal opportunity for screening and brief intervention (BI).<h4>Objective</h4>This study aimed to develop a prototype for a Web-based tool for use by primary care health professionals (eg, doctors and nurses) to communicate alcohol harm risk to their ...[more]

PMID: 31895043

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Project description:BackgroundImprovement of maternal morbidity and mortality indicators remains a major challenge for developing countries. Antenatal care is one of the key strategies in maintaining safe motherhood. The objective of this study was to develop and pretest a culturally relevant Antenatal Care Handbook (ANC handbook) utilizing the principles of information, education, and communication (IEC). We developed the ANC handbook after an extensive review of existing literature, available instruments (for keeping track of pregnancy and informing pregnant women), and seeking expert opinion. To pretest the ANC handbook, a cross-sectional approach was adopted, and information was collected from 300 expectant women, 150 women each from the community and from the health facility arm. Trained field workers conducted the pretesting from May 2004 to June 2004. Feedback on messages for pregnant mothers contained in the handbook was also assessed. At the same time, the ANC handbook was reviewed by 25 health care providers (including community health workers, physicians, nurses, and other health staff working at various kinds of health care facilities). Data were analyzed using both quantitative and qualitative methods.FindingsTwenty-three percent of the interviewed women were primigravida, 50% were multigravida and 27% were grandmultipara. The mean age of the women in the community sample was 25.8 SD: 4.9 years and in the hospital sample it was 25.7 SD: 5.2 years. No significant differences were observed between women interviewed at community or health facilities related to their understanding of ANC messages, and the majority of messages were well understood. Similarly, health care providers found all of the instruments useful and workable in the health system. Finally, feedback from pregnant women and health care staff regarding different components of the handbook were incorporated and later verified by them.ConclusionsFindings of pretesting reveal that a majority of pregnant women have an understanding of the culturally relevant ANC handbook. The handbook was found to be practical by healthcare paraprofessionals and community workers for use in different tiers of the health care system in Pakistan. The ANC handbook can be applied in the health service sector of Pakistan and can be adopted with relevant cultural modifications by countries with a similar context.

Project description:BACKGROUND:Prognostic genes or gene signatures have been widely used to predict patient survival and aid in making decisions pertaining to therapeutic actions. Although some web-based survival analysis tools have been developed, they have several limitations. OBJECTIVE:Taking these limitations into account, we developed ESurv (Easy, Effective, and Excellent Survival analysis tool), a web-based tool that can perform advanced survival analyses using user-derived data or data from The Cancer Genome Atlas (TCGA). Users can conduct univariate analyses and grouped variable selections using multiomics data from TCGA. METHODS:We used R to code survival analyses based on multiomics data from TCGA. To perform these analyses, we excluded patients and genes that had insufficient information. Clinical variables were classified as 0 and 1 when there were two categories (for example, chemotherapy: no or yes), and dummy variables were used where features had 3 or more outcomes (for example, with respect to laterality: right, left, or bilateral). RESULTS:Through univariate analyses, ESurv can identify the prognostic significance for single genes using the survival curve (median or optimal cutoff), area under the curve (AUC) with C statistics, and receiver operating characteristics (ROC). Users can obtain prognostic variable signatures based on multiomics data from clinical variables or grouped variable selections (lasso, elastic net regularization, and network-regularized high-dimensional Cox-regression) and select the same outputs as above. In addition, users can create custom gene signatures for specific cancers using various genes of interest. One of the most important functions of ESurv is that users can perform all survival analyses using their own data. CONCLUSIONS:Using advanced statistical techniques suitable for high-dimensional data, including genetic data, and integrated survival analysis, ESurv overcomes the limitations of previous web-based tools and will help biomedical researchers easily perform complex survival analyses.

Project description:BACKGROUND:Several pain management guidelines recommend regular urine drug testing (UDT) in patients who are being treated with chronic opioid analgesic therapy (COAT) to monitor compliance and improve safety. Guidelines also recommend more frequent testing in patients who are at high risk of adverse events related to COAT; however, there is no consensus on how to identify high-risk patients or on the testing frequency that should be used. Using previously described clinical risk factors for UDT results that are inconsistent with the prescribed COAT, we developed a web-based tool to adjust drug testing frequency in patients treated with COAT. OBJECTIVE:The objective of this study was to evaluate a risk stratification tool, the UDT Randomizer, to adjust UDT frequency in patients treated with COAT. METHODS:Patients were stratified using an algorithm based on readily available clinical risk factors into categories of presumed low, moderate, high, and high+ risk of presenting with UDT results inconsistent with the prescribed COAT. The algorithm was integrated in a website to facilitate adoption across practice sites. To test the performance of this algorithm, we performed a retrospective analysis of patients treated with COAT between June 2016 and June 2017. The primary outcome was compliance with the prescribed COAT as defined by UDT results consistent with the prescribed COAT. RESULTS:979 drug tests (867 UDT, 88.6%; 112 oral fluid testing, 11.4%) were performed in 320 patients. An inconsistent drug test result was registered in 76/979 tests (7.8%). The incidences of inconsistent test results across the risk tool categories were 7/160 (4.4%) in the low risk category, 32/349 (9.2%) in the moderate risk category, 28/338 (8.3%) in the high risk category, and 9/132 (6.8%) in the high+ risk category. Generalized estimating equation analysis demonstrated that the moderate risk (odds ratio (OR) 2.1, 95% CI 0.9-5.0; P=.10), high risk (OR 2.0, 95% CI 0.8-5.0; P=.14), and high risk+ (OR 2.0, 95% CI 0.7-5.6; P=.20) categories were associated with a nonsignificantly increased risk of inconsistency vs the low risk category. CONCLUSIONS:The developed tool stratified patients during individual visits into risk categories of presenting with drug testing results inconsistent with the prescribed COAT; the higher risk categories showed nonsignificantly higher risk compared to the low risk category. Further development of the tool with additional risk factors in a larger cohort may further clarify and enhance its performance.

Dataset Information

A Web-Based Alcohol Risk Communication Tool: Development and Pretesting Study.

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A Web-Based Alcohol Risk Communication Tool: Development and Pretesting Study.

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