Pub Date : 2026-01-01DOI: 10.1016/j.ajic.2025.09.003
Allison Wentland West MSN, RN, CPHQ, a-IPC , Erin Macsay MSN, APRN, ACCNS-AG , Kamie J. Snure MSN, RN, CIC , William I. Northern MLS, SM (ASCP)
A phased Candida auris screening program was implemented in a large acute care hospital system. This program used high-risk criteria as outlined by the Centers for Disease Control and Prevention to successfully identify C auris early in the hospital stay. Interdisciplinary collaboration enabled continuous quality improvement which improved screening processes for early detection and implementation of isolation precautions. Ultimately, safety for patients and staff was improved.
{"title":"A phased approach to implementation of a Candida auris screening program in a large, acute care hospital system","authors":"Allison Wentland West MSN, RN, CPHQ, a-IPC , Erin Macsay MSN, APRN, ACCNS-AG , Kamie J. Snure MSN, RN, CIC , William I. Northern MLS, SM (ASCP)","doi":"10.1016/j.ajic.2025.09.003","DOIUrl":"10.1016/j.ajic.2025.09.003","url":null,"abstract":"<div><div>A phased <em>Candida auris</em> screening program was implemented in a large acute care hospital system. This program used high-risk criteria as outlined by the Centers for Disease Control and Prevention to successfully identify <em>C auris</em> early in the hospital stay. Interdisciplinary collaboration enabled continuous quality improvement which improved screening processes for early detection and implementation of isolation precautions. Ultimately, safety for patients and staff was improved.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"54 1","pages":"Pages 66-70"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145058215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Surgical site infections (SSIs) are common postoperative complications that are frequently missed or diagnosed late due to limited follow-up. This study evaluated a smartphone-based wound follow-up system for detecting SSIs after discharge.
Methods
This quasi-experimental study selected 90 patients aged 18 to 70 years undergoing general surgery at Taleghani hospital. The intervention group (n = 30) submitted postoperative wound photos via smartphone for immediate feedback; the control group (n = 60) received routine telephone follow-up at 1 month. Data were analyzed in SPSS using independent t tests and logistic regression to compare SSI detection between groups.
Results
The mean age was 41.6 ± 13.0 years, with no significant difference between groups. SSIs were detected in 5 patients in the smartphone group and 2 in the control group (P = .043). Both groups had primarily moderate infections, with one high-risk infection observed in the smartphone group only. The smartphone intervention was associated with significantly higher odds of SSI detection (odds ratio = 5.8; 95% CI, 1.05-31.92).
Conclusions
Smartphone-based wound follow-up detected higher SSI rates and may enable earlier diagnosis. However, given the quasi-experimental design and small sample size, larger randomized multicenter studies are needed to confirm effectiveness and to evaluate longer-term patient outcomes.
{"title":"The impact of smartphone-based wound follow-up on surgical site infection detection: A quasi-experimental study","authors":"Pourya Khani MSc , Leili Rostamnia PhD , Rostam Jalali PhD , Behnam Darabi PhD , Nader Salari PhD","doi":"10.1016/j.ajic.2025.09.002","DOIUrl":"10.1016/j.ajic.2025.09.002","url":null,"abstract":"<div><h3>Background</h3><div>Surgical site infections (SSIs) are common postoperative complications that are frequently missed or diagnosed late due to limited follow-up. This study evaluated a smartphone-based wound follow-up system for detecting SSIs after discharge.</div></div><div><h3>Methods</h3><div>This quasi-experimental study selected 90 patients aged 18 to 70<!--> <!-->years undergoing general surgery at Taleghani hospital. The intervention group (n = 30) submitted postoperative wound photos via smartphone for immediate feedback; the control group (n = 60) received routine telephone follow-up at 1<!--> <!-->month. Data were analyzed in SPSS using independent t tests and logistic regression to compare SSI detection between groups.</div></div><div><h3>Results</h3><div>The mean age was 41.6<!--> <!-->±<!--> <!-->13.0<!--> <!-->years, with no significant difference between groups. SSIs were detected in 5 patients in the smartphone group and 2 in the control group (<em>P</em> = .043). Both groups had primarily moderate infections, with one high-risk infection observed in the smartphone group only. The smartphone intervention was associated with significantly higher odds of SSI detection (odds ratio = 5.8; 95% CI, 1.05-31.92).</div></div><div><h3>Conclusions</h3><div>Smartphone-based wound follow-up detected higher SSI rates and may enable earlier diagnosis. However, given the quasi-experimental design and small sample size, larger randomized multicenter studies are needed to confirm effectiveness and to evaluate longer-term patient outcomes.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"54 1","pages":"Pages 55-59"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145058230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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