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Patient preference and choice of healthcare providers in Shanghai, China: a cross-sectional study

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      Abstract

      ObjectivesThis study aimed to assess patients’ healthcare-seeking preferences in mild, chronic, and serious illness; identify influential factors; and examine the reasons underlying patients’ healthcare-seeking preference.DesignA retrospective study.SettingThe study was conducted in 14 tertiary hospitals in Shanghai, China.ParticipantsQuestionnaires were distributed to 1519 patients, and 1114 were completed and returned. All patients participated in the study voluntarily, provided written informed consent, and possessed the ability to complete the questionnaire.Main outcome measuresWe measured and compared preferences and choice of healthcare providers in patients if they had experienced mild, chronic, or serious illness.ResultsMore than 50% of participants, including those who were >60 years of age, had consulted a doctor more than three times during the preceding year, were single, and were most likely to decide not to seek medical treatment. Community health facilities were the most frequently selected healthcare provider in mild illness. In addition, patients who had no personal preference, did not express a preference for a good environment or first-class medical technology, were concerned about close proximity and short waiting times, and pursued low medical costs were most likely to choose a community health facility. General hospitals were the most frequently selected healthcare provider in chronic and serious illness. In addition, patients who earned higher monthly incomes, did not pursue low medical costs, were not concerned about short waiting times or close proximity, and expressed a preference for first-class medical technology, were most likely to choose general hospitals.ConclusionPatients’ healthcare-seeking preference was influenced mainly by healthcare providers’ characteristics, illness severity, and sociodemographic characteristics. These findings indicate that patients’ current healthcare-seeking preference was not ideal and requires optimisation.

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      Most cited references 44

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      Self-treatment for malaria: the evidence and methodological issues.

       S C McCombie (2002)
      Malaria remains an important cause of death, especially in sub-Saharan Africa. Self-treatment with antimalarial drugs is a common practice that raises important issues for policy-makers. A number of important questions concerning factors related to self-treatment, adequacy of self-treatment and the role of self-treatment in malaria mortality remain unanswered. Although there are some common patterns, there is considerable diversity in treatment practices, even within a single country. Social science research on malaria treatment needs to move beyond description to evaluation of interventions. This will require a greater degree of methodological rigour and more attention to the generation of data that can be compared across time periods and studies. Definitions of malaria cases and the role of local disease categories in identifying cases need to be made more explicit. Illnesses should be classified by severity, using measures of perceived severity as well as biomedical signs of severity. Each treatment step should be considered in terms of four levels of analysis: who provided the treatment or advice, what the treatment was, where it was obtained and when it was taken in relationship to onset of illness.
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        • Record: found
        • Abstract: found
        • Article: not found

        Patient preferences for outcomes of depression treatment in Germany: a choice-based conjoint analysis study.

        In general, treatment efficacy in depressed patients is evaluated mainly based on the core symptoms of depression. However, patients might consider different outcomes. This study used choice-based conjoint analysis (CBC) to evaluate patient preferences for depression treatment outcomes.
          Bookmark
          • Record: found
          • Abstract: found
          • Article: not found

          Women's help seeking behaviour for self discovered breast cancer symptoms.

          The aim of the study was to explore women's Help Seeking Behaviour (HSB) for a self discovered breast symptom, in order to gain understanding of women's experience of finding a breast symptom and how this influenced their HSB. In addition, the study sought to confirm the appropriateness of the "Help Seeking Behaviour & Influencing Factors" framework, for use in phase two of the study. A qualitative descriptive method was used involving semi-structured interviews with ten women, ranging in age from 25 to 55 years, who had discovered a breast symptom. Women's HSB ranged from up to one month (n = 6), one to three months (n = 2) and over three months (n = 2), following symptom discovery. The key variables linked to delayed help seeking were denial, fear, social factors and knowledge and beliefs. The study verified that the variables within the "Help Seeking Behaviour and Influencing Factors" framework act as both facilitators and barriers to women's HSB. Thus, confirming the appropriateness of this framework for a larger quantitative study of women's help seeking behaviour. The study highlights that despite continued emphasis on early help seeking for breast cancer symptoms, delay is still prevalent amongst women. This reiterates the need for continued emphasis on the message of early detection for breast cancer symptoms. To this end, nurses have a significant role to play in educating women in both clinical and community settings, about breast cancer and early detection practices. Copyright © 2010 Elsevier Ltd. All rights reserved.
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            Author and article information

            Affiliations
            [1 ]departmentDepartment of Military Health Service Management, College of Military Health Service Management , Second Military Medical University , Shanghai, China
            [2 ]departmentDepartment of Medical Affairs , No. 187th hospital of PLA , Haikou, China
            Author notes
            [Correspondence to ] Professor Lulu Zhang; zllrmit@ 123456aliyun.com

            WY, ML and FY contributed equally.

            Journal
            BMJ Open
            BMJ Open
            bmjopen
            bmjopen
            BMJ Open
            BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
            2044-6055
            2017
            1 November 2017
            : 7
            : 10
            29092898
            5695435
            bmjopen-2017-016418
            10.1136/bmjopen-2017-016418
            © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

            This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

            Product
            Funding
            Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
            Funded by: Military Health Support Strategy and Key Technology Research for Special Injuries in the South China Sea Region;
            Funded by: Important Disease Joint Research Project in Health Systems of Shanghai;
            Categories
            Health Services Research
            Research
            1506
            1704
            Custom metadata
            unlocked

            Medicine

            influential factor, preference, choice, healthcare, patient

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