Improving Quality and Safety through Positive Patient Identification

Campbell, Kerry; Muniak, Allison; Rothwell, Sarah; Dempster, Linda; Per, Jacqueline; Barr, Kelly R.

doi:10.12927/hcq.2015.24431

Cited by 8 publications

(6 citation statements)

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“…Regarding the quality indicators of nursing care, the item “bed identification” stimulated the identification of patients, associated them with their documents/treatments and reduced the incidence of errors, also enabling confirmation by bed of surgical collections performed or to be performed, facilitating the implementation of care (Campbell et al., 2015; Stephens & Whitman, 2015). These findings confirm the purpose of the checklist suggested by this study.…”

Section: Discussionmentioning

confidence: 99%

Checklist validation for care provided to patients in the immediate postoperative period of cardiac surgery

Batistini

Sant’Anna

Giovanazzi

et al. 2020

Journal of Clinical Nursing

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Aims and objectives: We created and validated a checklist for nursing care of patients in the immediate postoperative period of cardiac surgery. Background: Cardiovascular diseases (CVD) account for about 30% of all deaths recorded in Brazil. There is an arsenal of clinical and surgical treatments for CVD, with a significant number of patients evolving to surgical treatment. Thus, health professionals working in the perioperative period of cardiovascular surgeries need to be updated, trained and qualified to provide adequate and safe care to patients. Design: We developed a checklist that defined essential parameters for quality care, to ensure greater agility and patient safety. Methods: This methodology validation study comprised two stages: checklist creation for care provided by nurses to patients in the IPO of cardiac surgery, and content validation using the Delphi method. Participants were selected through an advanced survey conducted on the Lattes Platform website of the National Council for Scientific and Technological Development. The STROBE checklist was used to guide the study. Results: Three rounds of analysis by specialists resulted in average CVIs of: 95.8% for objectivity, 97.9% for simplicity, 91.0% for clarity, 93.1% for relevance and 96.5% for variety, suggesting high agreement among specialists. Conclusions: The checklist focused on nursing care of patients in the IPO of cardiac surgery and was validated with three topics, four categories, 16 items and 86 subitems of care assignments to be applied in clinical practice. Relevance to clinical practice: This is a validated instrument that guides nurses' actions by admitting postoperative cardiac surgery patients to the ICU based on evidence, which provides more scientific and professional support to health teams' performance, with the objective of strengthening roles and establishing routines; thus presenting a powerful tool for planning nursing actions, providing quality care to patients, and facilitating communication between teams, thereby minimising risks. 4172 | BATISTINI eT Al. 1 | INTRODUC TI ON Cardiovascular diseases (CVD) are responsible for a significant mortality rate on a global scale, especially acute coronary syndrome and heart failure (Pagidipati & Gaziano, 2013; Stewart, Manmathan, & Wilkinson, 2017). Among the set of treatments for CVD, special attention is drawn to clinical and surgical treatments, with high incidence of surgical procedures driven by technological progress and improved techniques used in the field (Furtado et al., 2017). Considering the high complexity involved in the immediate postoperative period (IPO) of cardiac surgery, quality of care becomes the main premise of health assistance, since nurses must identify haemodynamic changes and implement appropriate interventions quickly and effectively, minimising the incidence of errors (Santos,

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Section: Discussionmentioning

confidence: 99%

Checklist validation for care provided to patients in the immediate postoperative period of cardiac surgery

Batistini

Sant’Anna

Giovanazzi

et al. 2020

Journal of Clinical Nursing

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“…Unique patient identification is an integral part of healthcare service delivery. Correctly identifying patients is critical when undergoing clinical procedures, reporting of test and procedure results, as well as managing administrative functions such as scheduling and billing [1][2][3]. Unique identification of individuals is essential in case-based disease surveillance.…”

Section: Introductionmentioning

confidence: 99%

Feasibility and acceptability of an iris biometric system for unique patient identification in routine HIV services in Kenya

Njoroge

Dunbar

Abuna

et al. 2020

International Journal of Medical Informatics

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Background: Use of routine HIV programme data for surveillance is often limited due to inaccuracies associated with patient misclassification which can be addressed by unique patient identification. We assessed the feasibility and acceptability of integrating an iris recognition biometric identification system into routine HIV care services at 4 sites in Kenya.Methods: Patients who had recently tested HIV-positive or were engaged in care were enrolled. Images of the iris were captured using a dual-iris camera connected to a laptop. A prototype iris biometric identification system networked across the sites, analysed the iris patterns; created a template from those patterns; and generated a 12-digit ID number based on the template. During subsequent visits, the patients' irises were re-scanned, and the pattern was matched to stored templates to retrieve the ID number.Results: Over 55 weeks 8,614 (98%) of 8,794 new patients were assigned a unique ID on their first visit. Among 6,078 return visits, the system correctly re-identified patients' IDs 5,234 times (86%). The false match rate (a new patient given the ID of another patient) was 0•5% while the *

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“…A systematic review 33 identified 6 standard approaches to PPID and 3 classes of error consequences but reported that no strategies were associated with a perfect or near-perfect correct identification. A small randomized trial of a training intervention 34 found a 37% improvement in staff performance, but a Canadian study 35 in an outpatient setting recorded a 90% imperfection rate, suggesting that PPID error may be highly prevalent in a range of health care settings. A recently published study from our hospital 36 seems to be the only We conducted an in-depth analysis using a systems and human factors engineering approach to highlight the complex patterns that affect patient identification and find out why "work as done" does not match "work as imagined."…”

Section: Discussionmentioning

confidence: 99%

Evaluating Patient Identification Practices During Intrahospital Transfers: A Human Factors Approach

et al. 2022

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Introduction: Reliable patient identification is essential for safe care, and failures may cause patient harm. Identification can be interfered with by system factors, including working conditions, technology, organizational barriers, and inadequate communications protocols. The study aims to explore systems factors contributing to patient identification errors during intrahospital transfers. Methods:We conducted a qualitative study through direct observation and interviews with porters during intrahospital patient transfers. Data were analyzed using the Systems Engineering Initiative for Patient Safety human factors model. The patient transfer process was mapped and compared with the institutional Positive Patient Identification policy. Potential system failures were identified using a Failure Modes and Effects Analysis.Results: A total of 60 patient transfer handovers were observed. In none of the evaluable cases observed, patient identification was conducted correctly according to the hospital policy at every step of the process. The principal system factor responsible was organizational failure, followed by technology and team culture issues. The Failure Modes and Effects Analysis methodology revealed that miscommunication between staff and lack of key patient information put patient safety at risk. Conclusions:Patient identification during intrahospital patient transfer is a high-risk event because several factors and many people interact. In this study, the disconnect between the policy and the reality of the workplace left staff and patients vulnerable to the consequences of misidentification. Where a policy is known to be substantially different from work as done, urgent revision is required to eliminate the serious risks associated with the unguided evolution of working practice.

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Improving Quality and Safety through Positive Patient Identification

Cited by 8 publications

References 0 publications

Checklist validation for care provided to patients in the immediate postoperative period of cardiac surgery

Checklist validation for care provided to patients in the immediate postoperative period of cardiac surgery

Feasibility and acceptability of an iris biometric system for unique patient identification in routine HIV services in Kenya

Evaluating Patient Identification Practices During Intrahospital Transfers: A Human Factors Approach

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