IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p3138-d765934.html
   My bibliography  Save this article

Patients’ Perspectives on Determinants Avoidable Hospitalizations: Development and Validation of a Questionnaire

Author

Listed:
  • João Sarmento

    (Public Health Research Center, NOVA National School of Public Health, Universidade NOVA de Lisboa, 1600-560 Lisboa, Portugal)

  • Margarida Siopa

    (NOVA National School of Public Health, Universidade NOVA de Lisboa, 1600-560 Lisboa, Portugal)

  • Rodrigo Feteira-Santos

    (Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
    Área Disciplinar Autónoma de Bioestatística, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal)

  • Sílvia Lopes

    (Public Health Research Center, NOVA National School of Public Health, Universidade NOVA de Lisboa, 1600-560 Lisboa, Portugal
    Comprehensive Health Research Center, 1600-560 Lisboa, Portugal)

  • Sónia Dias

    (Public Health Research Center, NOVA National School of Public Health, Universidade NOVA de Lisboa, 1600-560 Lisboa, Portugal
    Comprehensive Health Research Center, 1600-560 Lisboa, Portugal)

  • António Sousa Guerreiro

    (Serviço de Medicina 4, Hospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, 1649-028 Lisboa, Portugal)

  • António Panarra

    (Serviço de Medicina 7.2, Hospital Curry Cabral, Centro Hospitalar Universitário Lisboa Central, 1050-099 Lisboa, Portugal)

  • Paula Nascimento

    (Serviço de Medicina 4, Hospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, 1649-028 Lisboa, Portugal)

  • Afonso Rodrigues

    (Serviço de Medicina 4, Hospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, 1649-028 Lisboa, Portugal)

  • Ana Catarina Rodrigues

    (Serviço de Medicina 7.2, Hospital Curry Cabral, Centro Hospitalar Universitário Lisboa Central, 1050-099 Lisboa, Portugal)

  • João Victor Rocha

    (Public Health Research Center, NOVA National School of Public Health, Universidade NOVA de Lisboa, 1600-560 Lisboa, Portugal
    Comprehensive Health Research Center, 1600-560 Lisboa, Portugal)

  • Rui Santana

    (Public Health Research Center, NOVA National School of Public Health, Universidade NOVA de Lisboa, 1600-560 Lisboa, Portugal
    Comprehensive Health Research Center, 1600-560 Lisboa, Portugal)

Abstract

Ambulatory care sensitive conditions (ACSC) can be avoided through effective care in the ambulatory setting. Patients are the most qualified individuals to express the social and individual contexts of their own experience. Thus, understanding why potentially preventable hospitalizations occur is important to develop patient-centred policies or interventions that may reduce them. This study aims to develop and validate a questionnaire to capture the patients’ perspective on the causes of the hospitalizations for ACSC. The development of a new questionnaire involved four phases: a literature review, face validity, pre-test, and validation. We conducted a three-step face validity verification to confirm the relevance of the identified determinants and to collect determinants not previously identified by interviewing healthcare providers, representatives of patients’ associations, and patients. Determinants were identified through the literature review predominantly in the “Healthcare Access”, “Disease self-management”, and “Social Support” domains. The validated resulting questionnaire comprises 25 questions, distributed by two dimensions (individual/contextual) covering seven domains and 20 determinants of ACSC hospitalization. Currently, there are no validated instruments as comprehensive and easy to use as the one described in this paper. This questionnaire should provide a base for further language/context validations.

Suggested Citation

  • João Sarmento & Margarida Siopa & Rodrigo Feteira-Santos & Sílvia Lopes & Sónia Dias & António Sousa Guerreiro & António Panarra & Paula Nascimento & Afonso Rodrigues & Ana Catarina Rodrigues & João V, 2022. "Patients’ Perspectives on Determinants Avoidable Hospitalizations: Development and Validation of a Questionnaire," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3138-:d:765934
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/3138/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/5/3138/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Glasby, Jon & Littlechild, Rosemary & Le Mesurier, Nick & Thwaites, Rachel, 2020. "Who knows best? Older people’s and practitioner contributions to understanding and preventing avoidable hospital admissions," Health Economics, Policy and Law, Cambridge University Press, vol. 15(2), pages 225-246, April.
    2. Andreia Pinto & João Vasco Santos & Júlio Souza & João Viana & Cristina Costa Santos & Mariana Lobo & Alberto Freitas, 2020. "Comparison and Impact of Four Different Methodologies for Identification of Ambulatory Care Sensitive Conditions," IJERPH, MDPI, vol. 17(21), pages 1-14, November.
    3. Zahid Ansari & Toni Barbetti & Norman J. Carson & Michael J. Auckland & Flavia Cicuttini, 2003. "The Victorian ambulatory care sensitive conditions study: rural and urban perspectives," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 48(1), pages 33-43, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gusmano, Michael K. & Weisz, Daniel & Rodwin, Victor G. & Lang, Jonas & Qian, Meng & Bocquier, Aurelie & Moysan, Veronique & Verger, Pierre, 2014. "Disparities in access to health care in three French regions," Health Policy, Elsevier, vol. 114(1), pages 31-40.
    2. Yu-Han Hung & Yu-Chieh Chung & Pi-Yueh Lee & Hao-Yun Kao, 2021. "Exploration of Preventable Hospitalizations for Colorectal Cancer with the National Cancer Control Program in Taiwan," IJERPH, MDPI, vol. 18(17), pages 1-9, September.
    3. Andrew Ridge & Gregory M. Peterson & Bastian M. Seidel & Vinah Anderson & Rosie Nash, 2021. "Healthcare Providers’ Perceptions of Potentially Preventable Rural Hospitalisations: A Qualitative Study," IJERPH, MDPI, vol. 18(23), pages 1-14, December.
    4. Andrew Ridge & Gregory M. Peterson & Rosie Nash, 2022. "Risk Factors Associated with Preventable Hospitalisation among Rural Community-Dwelling Patients: A Systematic Review," IJERPH, MDPI, vol. 19(24), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3138-:d:765934. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.