IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v33y2024i5p384-394.html
   My bibliography  Save this article

Intensive Primary Care Nursing: Exploring the Impact of a Nurse-Led Model for Medically and Social Complex Patients

Author

Listed:
  • Mark Darby
  • Linda Smith
  • Bailey Waldron
  • Kathryn Fiandt

Abstract

Lack of access to primary care contributes to health inequities. Treatment settings that utilize the full experience and training of nurses, both registered nurses (RNs) and advanced practice registered nurses (APRNs), can expand in primary care and successfully address health inequities. This small study describes the implementation of a model of primary care called intensive primary care (IPC), which has eight elements that support the full utilization of a nurse’s experience and training. This is a mixed method qualitative study, which reports the observations of the implementation and pre- and post-intervention measures. The IPC model was implemented at a free clinic, which targeted underserved population between 2020 and 2023. Participants were selected as a convenience sample. Participants were to have two or more chronic health problems The participants received primary care using the IPC model, which included setting self-management goals, and meeting with RN or APRN on a monthly basis (face to face, via phone or zoom) to monitor progress toward goals. Twenty-two people were approached, and 19 completed the intervention. Pre- and Post-intervention measures (Patient Assessment of Chronic Illness Care [PACIC]-20); Functional, Communicative, Critical Thinking Health Literacy; Perceived Stress; Patient Activation; Perceived Self Efficacy for Chronic Disease; EuroQo- 5 Dimension (EQ-5D); Trust in Provider; Emotional Support—Patient Reported Outcome Measure Information System (PROMIS); and Patient Health Questionnaire-9) were obtained and analyzed with paired T test ( α  

Suggested Citation

  • Mark Darby & Linda Smith & Bailey Waldron & Kathryn Fiandt, 2024. "Intensive Primary Care Nursing: Exploring the Impact of a Nurse-Led Model for Medically and Social Complex Patients," Clinical Nursing Research, , vol. 33(5), pages 384-394, June.
  • Handle: RePEc:sae:clnure:v:33:y:2024:i:5:p:384-394
    DOI: 10.1177/10547738241253654
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738241253654
    Download Restriction: no

    File URL: https://libkey.io/10.1177/10547738241253654?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:clnure:v:33:y:2024:i:5:p:384-394. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: SAGE Publications (email available below). General contact details of provider: .

    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.