Academic literature on the topic 'Healthline'

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Journal articles on the topic "Healthline"

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Nataraj, Jonathon, James Stempien, Stuart Netherton, Mark Yosri Wahba, and Taofiq Olusegun Oyedokun. "Emergency department referrals from a provincial medical call centre: Is it more than just 1-800-go-to-emerg?" CJEM 22, no. 2 (October 24, 2019): 241–44. http://dx.doi.org/10.1017/cem.2019.420.

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ABSTRACTObjectiveHealthLine is Saskatchewan's provincial 24-hour health information and support telephone line. A proportion of HealthLine's callers are referred to the emergency department (ED) for further assessment. The purpose of this study was to gain insight into the appropriateness of these referrals and assess whether they increased the burden on an already strained ED system.MethodsA list of callers referred from HealthLine to Saskatoon EDs from January 1, 2014, to March 31, 2014 was obtained. This list was cross-referenced with Saskatoon Health Region registration data to determine which of those callers had been registered in one of the three Saskatoon EDs within 48 hours of the original call.ResultsDuring the 90-day time period in question, 707/3,938 (17.9%) of callers were referred by HealthLine to the ED. Out of those referred, 601 were identifiable and 358 attended the ED. Hospital charts were pulled for full data extraction and analysis of the 276 who met inclusion criteria. Of those who presented to the ED and met inclusion criteria, 60% had investigations performed while 66% received some form of treatment. The overall admission rate for the patient population studied was 12.0% v. 16% for non-referred patients. Referred pediatric patients had fewer investigations and treatments with a lower admission rate compared with the adult patients.ConclusionThe Saskatchewan HealthLine is doing an effective job at directing callers both to and away from EDs in Saskatoon and not overburdening our local EDs with unnecessary referrals.
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Gillespie, Yvonne, Ian St George, and Davis Lemke. "Men Calling Healthline." Telemedicine and e-Health 19, no. 1 (January 2013): 42–47. http://dx.doi.org/10.1089/tmj.2012.0028.

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Jarrell, Brett, Allison Tadros, Charles Whiteman, Todd Crocco, and Stephen M. Davis. "National Healthline Responses to a Stroke Scenario." Stroke 38, no. 8 (August 2007): 2376–78. http://dx.doi.org/10.1161/strokeaha.107.487710.

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RIGGE, MARIANNE. "'Healthline': a new service from the College of Health." Health Libraries Review 3, no. 1 (March 1986): 1–10. http://dx.doi.org/10.1046/j.1365-2532.1986.310001.x.

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Geddes, Lesley, and Ian Watt. "Hull Healthline: A Description of a Telephone Health Information and Promotion Service." Journal of the Royal Society of Health 113, no. 4 (August 1993): 187–89. http://dx.doi.org/10.1177/146642409311300408.

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Glueckauf, Robert L., Curtis Stine, Michelle Bourgeois, Alice Pomidor, Pilar Rom, Mary Ellen Young, Angela Massey, and Pat Ashley. "Alzheimer's Rural Care Healthline: Linking Rural Caregivers to Cognitive-Behavioral Intervention for Depression." Rehabilitation Psychology 50, no. 4 (November 2005): 346–54. http://dx.doi.org/10.1037/0090-5550.50.4.346.

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Haidar, Hamida, Syed Kazim Shah, and Alina Awan. "A CRITICAL DISCOURSE ANALYSIS OF MEDICAL ASSOCIATIONS AND RESEARCH JOURNALS ON OBESITY USING VAN DIJK’S MODEL." Inception - Journal of Languages and Literature 1, no. 2 (December 28, 2021): 1–17. http://dx.doi.org/10.36755/ijll.v1i2.31.

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The present study aims at exploring the CDA approach to determine the differences in the discourse of research articles in medical journals and associations. The study investigates how the associations delete, select, construct or generalize information for their benefits. The information was gathered from medical research articles and associations about obesity. World Health Organization (WHO), Obesity Medicine Association (OMA), National Institutes of Health (NIH), National Health Services (NHS), Healthline, Mayo Clinic are among the organizations that have been chosen for this study. The macro structure of Van Dijk model is used to address the research questions and to determine whether medical journals and associations are on the same page or not. As a result, associations have more authority than journals. The results of this descriptive self-study are summarized in graph charts and tables.
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Harding, Jean. "An evaluation of the costs and effectiveness of different methods used to publicize a telephone Healthline." Health Libraries Review 13, no. 2 (June 1996): 114–17. http://dx.doi.org/10.1046/j.1365-2532.1996.13201093.x.

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Navratil-Strawn, Jessica L., Kevin Hawkins, Stephen K. Hartley, Timothy S. Wells, Ronald J. Ozminkowski, Richard J. Migliori, and Charlotte S. Yeh. "Using Propensity to Succeed Modeling to Increase Utilization and Adherence in a Nurse HealthLine Telephone Triage Program." Journal of Ambulatory Care Management 39, no. 3 (2016): 186–98. http://dx.doi.org/10.1097/jac.0000000000000103.

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Griffin, Edward, John P. McCarthy, Fiona Thomas, and Simon Kingham. "New Zealand Healthline call data used to measure the effect of travel time on the use of the emergency department." Social Science & Medicine 179 (April 2017): 91–96. http://dx.doi.org/10.1016/j.socscimed.2017.02.035.

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Dissertations / Theses on the topic "Healthline"

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Perk, Victoria A. "Assessing Property Value Impacts of Access to Bus Rapid Transit (BRT): Case Study of the Cleveland HealthLine." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6351.

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The nation’s economy depends heavily on mobility of goods and people. As communities look to improve mobility, many options can be considered, including roadway improvements, congestion-pricing options such as dynamic tolling and toll lanes, and public transit. Investment in public transit services can come in the form of increased and enhanced bus services, including bus rapid transit (BRT), as well as rail transit investments. As BRT continues to grow in popularity in the United States, a better understanding of the mode’s impacts on land uses and economic development is needed. One method of assessing the mode’s impacts is by examining the market value of properties with access to BRT stations. Based on land-rent theory, it is hypothesized that people will be willing to pay a premium for convenient and reliable access via BRT to the central business district (CBD) or other locations with employment, educational, recreational, and shopping opportunities. Very little research has been conducted on BRT as it operates in the present day in the United States. For this work, the hypothesis is that the BRT stations have a positive impact on the market value of residential properties. To test this hypothesis, hedonic price regression models are used to estimate the impact of access to BRT stations on the sale prices of surrounding single-family homes using a case study of the HealthLine BRT system in Cleveland, Ohio that began operating in 2008. Three time periods were examined: 2004, the year construction began; 2008–2009, after the HealthLine BRT service began operation; and 2010–2011, the latest year for which sales data are available. Despite a documented decline in median sale prices of single-family homes in the city of Cleveland from 2005 to 2011, overall results of the analysis were mixed. Although it was prior to the opening of the BRT system, the 2004 data did not show any impacts of the stations on surrounding home sale prices. For the 2008–2009 data, positive and statistically significant impacts were found; however, the positive impacts did not persist in the 2010–2011 data. It would likely be necessary to seek out additional years of data to fully answer the question posed by this research. It is important for decision-makers to have the most accurate and most recent information on the benefits and costs of all transportation alternatives, including BRT. The research presented herein makes a significant contribution to filling the current gap in quantitative research on the subject and provides planners, policymakers, and the transit industry with the best information possible to make sound transit investment decisions in their communities.
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Britton, Andrea Jane. "Modelling invasions on heathlands." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284563.

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Chang, Pi-Hui Suzi. "An investigation of the relationships between healthland plant community characteristics and ecoysystem functioning." Thesis, Imperial College London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535016.

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Books on the topic "Healthline"

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Board, Ireland Mid-Western Health. The healthlines directory: A mid-west resource guide : voluntary & statutory organisations in the mental health field. Limerick: Mid-Western Health Board, 2000.

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Health, College of, ed. Healthline directory. London: College of Health, 1986.

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Healthline directory 1987. London: Health Information Trust, 1987.

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Donald, Harris. South Beach Diet Healthline: What to Eat, Cooking Tips, and Modifications. Independently Published, 2021.

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Trodden, Stanley. Remove Candida : Deeper Knowledge about Bloating, Thrush, and Candida: Healthline Candida. Independently Published, 2021.

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Gritzmacher, Lucy G. National Healthlines Directory 1994. Info Resources Pr, 1994.

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National Healthlines Directory 1994. Information Resources Press, 2000.

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Louanne, Marinos, and Herner and Company, eds. National healthlines directory: (toll-free numbers). Arlington, Va: Information Resources Press, 1992.

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10 EASY WAYS TO LOSE WEIGHT NATURALLY. Neom Domínguez, 2022.

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Book chapters on the topic "Healthline"

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Samiotakis, Yiannis, Sofia Anagnostopoulou, and Antonis Alexakis. "HealthLine: Integrated information provision to telemedicine networks." In High-Performance Computing and Networking, 959–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0100656.

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Conference papers on the topic "Healthline"

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Sherwani, J., N. Ali, S. Mirza, A. Fatma, Y. Memon, M. Karim, R. Tongia, and R. Rosenfeld. "HealthLine: Speech-based access to health information by low-literate users." In 2007 International Conference on Information and Communication Technologies and Development (ICTD). IEEE, 2007. http://dx.doi.org/10.1109/ictd.2007.4937399.

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Chaphekar, Garima, and Jorjeta G. Jetcheva. "HealthLies: Dataset and Machine Learning Models for Detecting Fake Health News." In 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService). IEEE, 2022. http://dx.doi.org/10.1109/bigdataservice55688.2022.00008.

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