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Ricci L, Villegente J, Loyal D, Ayav C, Kivits J, Rat AC. Tailored patient therapeutic educational interventions: A patient-centred communication model. Health Expect 2021; 25:276-289. [PMID: 34816546 PMCID: PMC8849242 DOI: 10.1111/hex.13377] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 09/02/2021] [Accepted: 10/17/2021] [Indexed: 11/07/2022] Open
Abstract
Background Tailoring therapeutic education consists of adapting the intervention to patients' needs with the expectation that this individualization will improve the results of the intervention. Communication is the basis for any individualization process. To our knowledge, there is no guide or structured advice to help healthcare providers (HCPs) tailor patient education interventions. Objectives We used a data‐driven qualitative analysis to (1) investigate the reasons why HCPs tailor their educational interventions and (2) identify how this tailoring is effectively conducted. The perspective aimed to better understand how to individualize therapeutic patient education and to disentangle the different elements to set up studies to investigate the mechanisms and effects of individualization. Design Individual semistructured interviews with 28 HCPs involved in patient education were conducted. The present study complied with the COREQ criteria. Results Why individualization is necessary: participants outlined that the person must be thought of as unique and that therapeutic education should be adapted to the patient's personality and cognitive abilities. The first step in the individualization process was formalized by an initial patient assessment. Several informal practices were identified: if needed, giving an individual time or involving a specific professional; eliciting individual objectives; reinforcing the relationship by avoiding asymmetrical posture; focusing on patients' concerns; leading sessions in pairs; and making the patient the actor of decisions. Conclusion From our thematic data analysis, a model for tailoring patient education interventions based on the Haes and Bensing medical communication framework is proposed. The present work paves the way for evaluation, then generation of recommendations and finally implementation of training for individualization in educational interventions. Short Informative Tailoring in therapeutic education consists of an adaptation to patients' needs. Communication is the basis for any individualization process. There is no model of patient‐centred communication in educational interventions. From semistructured interviews with HCPs, we propose a patient‐centred communication model for tailoring patient education intervention.
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Affiliation(s)
- Laetitia Ricci
- CHRU-Nancy, INSERM, Université de Lorraine, CIC 1433 Clinical Epidemiology, Nancy, France
| | - Julie Villegente
- CHRU-Nancy, INSERM, Université de Lorraine, CIC 1433 Clinical Epidemiology, Nancy, France.,Université de Reims Champagne-Ardenne, Reims, France
| | | | - Carole Ayav
- CHRU-Nancy, INSERM, Université de Lorraine, CIC 1433 Clinical Epidemiology, Nancy, France
| | | | - Anne-Christine Rat
- Université de Lorraine, APEMAC, Nancy, France.,University of Caen Normandie, Caen, France.,Rheumatology Department, University Hospital Center Caen, Caen, France
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Improving care for thalassemia patients in line with best practice standards at a tertiary referral cancer care center. JBI Evid Implement 2021; 20:128-133. [PMID: 33852496 DOI: 10.1097/xeb.0000000000000283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Beta-thalassemia major is a chronic hematological disorder that requires life-long management. This project aimed to improve thalassemia patients' care through the implementation of best practice standards at a tertiary referral cancer care center. METHODS The current project utilized a clinical audit design. A pre and post-implementation audit was carried out following best practice standards for patients with thalassemia. Chart review of nine thalassemia patients was undertaken pre and post-implementation of staff education, local clinical guidelines, and an annual care plan to manage thalassemia to determine adherence to best practice standards. Data were collected between June 2019 and June 2020 at a specialist outpatient and day treatment unit located in inner Brisbane, Australia. RESULTS The pre-implementation audit results showed low compliance to the audit criteria, with the exception of nursing staff education. Following the implementation of strategies to align current care with evidence-based recommendations, the post-implementation audit showed improvement across all areas. Overall, implementation strategies were successful in improving patient care for thalassemia patients by 100%. Staff thalassemia education increased from 45 to 92%. CONCLUSION Implementing an individualized treatment plan and thalassemia-specific nursing documentation as well as developing local clinical guidelines and providing targeted nurse education were effective strategies to improve care for thalassemia patients in line with best practice standards.
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Juvé-Udina ME, Adamuz J, López-Jimenez MM, Tapia-Pérez M, Fabrellas N, Matud-Calvo C, González-Samartino M. Predicting patient acuity according to their main problem. J Nurs Manag 2019; 27:1845-1858. [PMID: 31584733 PMCID: PMC7328732 DOI: 10.1111/jonm.12885] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Revised: 09/11/2019] [Accepted: 09/30/2019] [Indexed: 12/01/2022]
Abstract
AIM To assess the ability of the patient main problem to predict acuity in adults admitted to hospital wards and step-down units. BACKGROUND Acuity refers to the categorization of patients based on their required nursing intensity. The relationship between acuity and nurses' clinical judgment on the patient problems, including their prioritization, is an underexplored issue. METHOD Cross-sectional, multi-centre study in a sample of 200,000 adults. Multivariate analysis of main problems potentially associated with acuity levels higher than acute was performed. Distribution of patients and outcome differences among acuity clusters were evaluated. RESULTS The main problems identified are strongly associated with patient acuity. The model exhibits remarkable ability to predict acuity (AUC, 0.814; 95% CI, 0.81-0.816). Most patients (64.8%) match higher than acute categories. Significant differences in terms of mortality, hospital readmission and other outcomes are observed (p < .005). CONCLUSION The patient main problem predicts acuity. Most inpatients require more intensive than acute nursing care and their outcomes are adversely affected. IMPLICATIONS FOR NURSING MANAGEMENT Prospective measurement of acuity, considering nurses' clinical judgments on the patient main problem, is feasible and may contribute to support nurse management workforce planning and staffing decision-making, and to optimize patients, nurses and organizational outcomes.
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Affiliation(s)
- Maria-Eulàlia Juvé-Udina
- Nursing Executive Department, Catalan Institute of Health, Barcelona, Catalonia, Spain.,Nursing Research Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.,Fundamental and Medical-Surgical Nursing, Medicine and Health Sciences Faculty, Nursing School, University of Barcelona, Barcelona, Catalonia, Spain
| | - Jordi Adamuz
- Nursing Research Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.,Fundamental and Medical-Surgical Nursing, Medicine and Health Sciences Faculty, Nursing School, University of Barcelona, Barcelona, Catalonia, Spain.,Nursing Knowledge and Information Systems Department, Bellvitge University Hospital, Barcelona, Catalonia, Spain
| | - Maria-Magdalena López-Jimenez
- Nursing Research Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.,Fundamental and Medical-Surgical Nursing, Medicine and Health Sciences Faculty, Nursing School, University of Barcelona, Barcelona, Catalonia, Spain
| | - Marta Tapia-Pérez
- Nursing Knowledge and Information Systems Department, Bellvitge University Hospital, Barcelona, Catalonia, Spain
| | - Núria Fabrellas
- Fundamental and Medical-Surgical Nursing, Medicine and Health Sciences Faculty, Nursing School, University of Barcelona, Barcelona, Catalonia, Spain.,Nursing Research Group, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Catalonia, Spain
| | - Cristina Matud-Calvo
- Nursing Research Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.,Nursing Knowledge and Information Systems Department, Bellvitge University Hospital, Barcelona, Catalonia, Spain
| | - Maribel González-Samartino
- Nursing Research Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.,Fundamental and Medical-Surgical Nursing, Medicine and Health Sciences Faculty, Nursing School, University of Barcelona, Barcelona, Catalonia, Spain.,Nursing Knowledge and Information Systems Department, Bellvitge University Hospital, Barcelona, Catalonia, Spain
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