Evaluation of the in‐hospital hemovigilance by introduction of the information technology–based system

Fujihara, Harumi; Yamada, Chiaki; Furumaki, Hiroaki; Nagai, Seiya; Shibata, Hiroki; Ishizuka, Keiko; Watanabe, Hiroko; Kaneko, Makoto; Adachi, Miwa; Takeshita, Akira

doi:10.1111/trf.13228

Cited by 8 publications

(7 citation statements)

References 17 publications

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“… 7 By contrast, online reporting procedures are more effective and can reduce human error in the evaluation of blood transfusion reactions. 5 , 8 …”

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confidence: 99%

Associated Factors With Acute Transfusion Reaction From Hospital Online Reporting Events: A Retrospective Cohort Study

Yao

Chien²,

Chuang

et al. 2018

J Patient Saf

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Objectives In our hospital’s hemovigilance system, a Wi-Fi–based vital signs monitor that automatically transmits data to ensure patient safety has been implemented. We derived the potential clinical characteristics for subsequent association of acute transfusion reactions (ATRs) using the hospital information system database. Methods We retrospectively analyzed multiple factors to identify the possible associations between clinical factors and developing ATRs. The following data were collected: recipient’s pretransfusion and posttransfusion vital signs, clinical and laboratory characteristics, and presence of ATRs. Results In all, 44,691 events were analyzed. Of these, ATR events occurred in 1586 (3.5%). Logistic regression analysis revealed that leukopenia (<5×10 3 /μL) before transfusion was shown a statistically associated with developing mild ATRs (odds ratio [OR] = 2.38, 95% confidence interval [CI] = 1.68–3.35, P < 0.001). The association between elevated body temperature (forehead temperature > 37.5°C) and moderate ATRs was significant (OR = 1.55, 95% CI = 1.22–1.98, P < 0.001). In addition, the association between high diastolic pressure (>90 mm Hg) and severe ATRs was significant (OR = 1.78, 95% CI = 1.06–2.99, P = 0.03). Therefore, evaluated patient’s status such as vital signs before transfusion is very important. In addition, every hospital should established a complete hemovigilance program focus on effectively reporting and real-time monitoring ATRs to improve transfusion patient safety. Conclusions Vital signs monitoring and leukocyte counts before transfusion were significantly associated with the subsequent risk of ATRs. When patients with elevated body temperature, leukopenia, and high diastolic pressure who are scheduled to receive transfusion, clinicians should be aware of increasing the risk of ATRs in these patients.

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“… 7 By contrast, online reporting procedures are more effective and can reduce human error in the evaluation of blood transfusion reactions. 5 , 8 …”

mentioning

confidence: 99%

Associated Factors With Acute Transfusion Reaction From Hospital Online Reporting Events: A Retrospective Cohort Study

Yao

Chien²,

Chuang

et al. 2018

J Patient Saf

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“…Comparisons of these results with other studies are challenged by differences in patient populations and the haemovigilance system (from definitions used, to mandates that may either favour sensitivity [inclusivity to prevent underestimates], or specificity [exclusivity to reduce overestimates and unnecessary donor deferrals]) [10,21,22,24–27,35]. We examined the effects of definitional stringency on TRs to discern shifts in representation and outcomes.…”

Section: Discussionmentioning

confidence: 99%

“…Incidences can vary significantly with age, as shown by TR incidences in paediatric, obstetric and other adult populations [21–23]. Case ascertainment may vary by orders of magnitude between passive (voluntary) to more active (mandatory or electronic) systems [24–26]. Available case information and the diagnostic criteria for a given definition may also yield different classification outputs.…”

Section: Introductionmentioning

confidence: 99%

Frequency and timing of all‐cause deaths in visits involving suspected transfusion reactions, and the significance of cardiopulmonary disturbances

et al. 2021

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Background/objectives Transfusion reactions (TRs) may cause or contribute to death. Cardiopulmonary TRs are distressing, and collectively account for most transfusion fatalities, though the degree to which they alter survival more broadly is unclear. Deaths (and their timing) after TRs may provide further insights. Materials/Methods Adult (tri‐hospital network) haemovigilance data (2013–2016) recorded referrals with conclusions ranging from unrelated to transfusion (UTR) to entities such as: septic TRs, serologic/haemolytic reactions, transfusion‐associated circulatory overload (TACO), transfusion‐associated dyspnoea (TAD), transfusion‐related acute lung injury (TRALI), allergic transfusion reaction (ATR), and others. For (in‐ or out‐patient) visits involving suspected TRs (VISTRs), all‐cause mortalities (% [95% confidence interval]) and associated time‐to‐death (TTD) (median days, [interquartile range]) were compared. Diagnoses were defined inclusively (possible‐to‐definite) or strictly (probable‐to‐definite). Results Of 1144 events, rank order VISTR mortality following (possible‐to‐definite) TRs, and associated TTDs, were led by: DHTR 33% [6–19], 1 death at 123d; TRALI 32% [15–54], 6 deaths: 3d [2–20]; BaCon 21% [14–31], 17 deaths: 10d [3–28]; TACO 18% [12–26], 23 deaths: 16d [6–28]; TAD 17% [11–26]: 18 deaths, 6d [3–12]. Higher‐certainty TRs ranked similarly (DHTR 50% [9–91]; BaCon 29% [12–55], 4 deaths: 12d [3–22]; and TACO 25% [16–38], 15 deaths: 21d [6–28]). VISTR mortality after TACO or TRALI significantly exceeded ATR (3·3% [2·4–5·8], P < 0·00001) but was not different from UTR events (P = 0·3). Conclusions Only half of cardiopulmonary TRs constituted high certainty diagnoses. Nevertheless, cardiopulmonary TRs and suspected BaCon marked higher VISTR mortality with shorter TTDs. Short (<1 week) TTDs in TAD, BaCon or TRALI imply either contributing roles in death, treatment refractoriness and/or applicable TR susceptibilities in the dying.

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“…Accordingly, monitoring methods and patient safety requirements must be considered throughout the blood transfusion process as a hemovigilance system. In fact, this system analyzes blood transfusion-related reactions and decreases blood product-related risks so that complications are reported faster and more accurate [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Proposing a Model for the National Hemovigilance Information System in Iran

Asadi

Ramezanghorbani

2020

JMedLife

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The present study aimed to propose a model for the national hemovigilance information system with a database approach, considering the importance and necessity of developing an information system for such a network. This is an applied, descriptive, and cross-sectional study, which was conducted in 2018. The research population comprised hemovigilance information systems in advanced countries, including the USA, UK, Australia, and France. Data were collected from library sources and the Internet from 2000 to 2018. The proposed model for the national hemovigilance information system was introduced using comparative tables and based on the similarities and differences of systems in the studied countries. The proposed model was then validated using the two-step Delphi technique through a researcher-made questionnaire whose validity was confirmed, and reliability was approved by a Cronbach’s alpha of 94%. The final model of the national hemovigilance information system comprised five main components: goals, organizations involved in the blood transfusion process, databases of blood transfusion organizations, data transfer flow between the databases of blood transfusion organizations, and transferable datasets, and hemovigilance-related committees. This model was approved by experts with an >85% agreement coefficient. The national hemovigilance information system with a database approach can improve blood transfusion health by providing access to reliable sources on blood transfusion complications to everyone, especially the medical community. Thus, it is essential to implement this standard accurately and precisely control the practical methods of this process based on international guidelines.

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Evaluation of the in‐hospital hemovigilance by introduction of the information technology–based system

Cited by 8 publications

References 17 publications

Associated Factors With Acute Transfusion Reaction From Hospital Online Reporting Events: A Retrospective Cohort Study

Associated Factors With Acute Transfusion Reaction From Hospital Online Reporting Events: A Retrospective Cohort Study

Frequency and timing of all‐cause deaths in visits involving suspected transfusion reactions, and the significance of cardiopulmonary disturbances

Proposing a Model for the National Hemovigilance Information System in Iran

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