Improving Quality and Safety through Positive Patient Identification

Experience of Operating Room Health Care Providers in the Management of Patients With Dementia

The management of hospitalized patients with dementia is more complicated compared to patients without dementia, specifically in the surgery ward. The aim of the current study was to explore the experiences of operating room health care providers in the management of patients with dementia. A descriptive qualitative study was designed. Twenty semi-structured interviews were conducted with surgical professionals. Content analysis was performed. Four main themes emerged: Communication Issues, Experience-Based Protocol, Emotions, and Perceived Needs. Health care providers in a surgical ward face numerous challenges when attending to patients with dementia and tend to use strategies based on their own experience due to lack of specific action protocols. Therefore, specific training of the surgical team and protocols are needed to ensure quality care. [Research in Gerontological Nursing, xx(x), xx-xx.].

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

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.

Comparison of a palm-based biometric solution with a name-based identification system in rural Bangladesh

Background

Unique identifiers are not universal in low- and middle-income countries. Biometric solutions have the potential to augment existing name-based searches used for identification in these settings. This paper describes a comparison of the searching accuracy of a palm-based biometric solution with a name-based database.

Objective

To compare the identification of individuals between a palm-based biometric solution to a name-based District Health Information Software 2 (DHIS2) Android application, in a low-resource setting.

Methods

The study was conducted in Chandpur district, Bangladesh. Trained data collectors enrolled 150 women of reproductive age into two android applications – i) a name-based DHIS2 application, and ii) a palm-based biometric solution – both run on tablets. One week after enrollment, a different research team member attempted to re-identify each enrolled woman using both systems. A single image or text-based name was used for searching at the time of re-identification. We interviewed data collectors at the end of the study.

Results

Significantly more women were successfully identified on the first attempt with a palm-based biometric application (84%) compared with the name-based DHIS2 application (61%). The proportion of identifications that required three or more attempts was similar between name-based (7%, CI 3.7–12.3) and palm-based biometric system (5%, CI: 1.9–9.4). However, the total number of attempts needed was significantly lower with the palm-based solution (mean 1.2 vs. 1.5, p < 0.001). In a group discussion, data collectors reported that the palm-based biometric identification system was both accurate and easy to use.

Conclusion

A palm-based biometric identification system on mobile devices was found to be an easy-to-use and accurate technology for the unique identification of individuals compared to an existing name-based application. Our findings imply that palm-based biometrics on mobile devices may be the next step in establishing unique identifiers in remote and rural settings where they are currently absent.

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

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 sub-items 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.

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

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 generalized false reject rate (re-scans assigned a new ID) was 4·7%. Overall, 9 (0·1%) agreed to enrol but declined to have an iris scan. The most common reasons cited for declining an iris scan were concerns about privacy and confidentiality.

CONCLUSION

Implementation of an iris recognition system in routine health information systems is feasible and highly acceptable as part of routine care in Kenya. Scale-up could improve unique patient identification and tracking, enhancing disease surveillance activities.

Towards a new paradigm in laboratory medicine: the five rights

A body of evidence collected in the last few decades demonstrates that the pre- and post-analytical phases of the testing cycle are more error-prone than the analytical phase. However, the paradigm of errors and quality in laboratory medicine has been questioned, analytical mistakes continuing to be a major cause of adverse clinical outcomes and patient harm. Although the brain-to-brain concept is widely recognized in the community of laboratory professionals, there is lack of clarity concerning the inter-relationship between the different phases of the cycle, interdependence between the pre-analytical phase and analytical quality, and the effect of the post-analytical steps on the quality of ultimate laboratory information. Analytical quality remains the "core business" of clinical laboratories, but laboratory professionals and clinicians alike should never lose sight of the fact that pre-analytical variables are often responsible for erroneous test results and that quality biospecimens are pre-requisites for a reliable analytical phase. In addition, the pressure for expert advice on test selection and interpretation of results has increased hand in hand with the ever-increasing complexity of tests and diagnostic fields. Finally, the data on diagnostic errors and inappropriate clinical decisions made due to delay or misinterpretation of laboratory data underscore the current need for greater collaboration at the clinical-laboratory interface.