Self-Diagnosis of Surgical Site Infections: Lessons from a Tertiary Care Centre in Karachi, Pakistan
| العنوان: | Self-Diagnosis of Surgical Site Infections: Lessons from a Tertiary Care Centre in Karachi, Pakistan |
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| المؤلفون: | Gustaf Drevin, Swagoto Mukhopadhyay, Katherine Albutt, Sana Z. Sajun, Umme Salama Moosajee, Lubna Samad |
| المصدر: | Pakistan Journal of Medical Sciences |
| بيانات النشر: | Pakistan Journal of Medical Sciences, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | medicine.medical_specialty, business.industry, General Medicine, Creative commons, Surgical workforce, Predictive value, Tertiary care, Proxy (climate), Surgical Site Infection, Emergency medicine, Surgical site, Medicine, Infection control, Original Article, Pakistan, Low-and Middle-Income Countries, business, Patient Self-screening, Healthcare system |
| الوصف: | Background and Objective: Surgical site infections (SSIs) usually manifest post-discharge, rendering accurate diagnosis and treatment challenging, thereby catalyzing the development of alternate strategies like self-monitored SSI surveillance. This study aims to evaluate the diagnostic accuracy of patients and Infection Control Monitors (ICMs) to develop a replicable method of SSI-detection. Methods: A two-year prospective diagnostic accuracy study was conducted in Karachi, Pakistan between 2015 and 2017. Patients were educated about SSIs and provided with questionnaires to elicit symptoms of SSI during post-discharge self-screening. Results of patient’s self-screening and ICM evaluation at follow-ups were compared to surgeon evaluation. Results: A total of 348 patients completed the study, among whom 18 (5.5%) developed a SSI. Patient self-screening had a sensitivity of 39%, specificity of 95%, positive predictive value (PPV) of 28%, and negative predictive value (NPV) of 97%. ICM evaluation had a sensitivity of 82%, specificity of 99%, PPV of 82%, and NPV of 99%. Conclusion: Patients cannot self-diagnose a SSI reliably. However, diagnostic accuracy of ICMs is significantly higher and they may serve as a proxy for surgeons, thereby reducing the burden on specialized surgical workforce in LMICs. Regardless, supplementing post-discharge follow-up with patient self-screening could increase SSI-detection and reduce burden on health systems. doi: https://doi.org/10.12669/pjms.36.ICON-Suppl.1716 How to cite this:Sajun SZ, Albutt K, Moosajee US, Drevin G, Mukhopadhyay S, Samad L. Self-Diagnosis of Surgical Site Infections: Lessons from a tertiary care centre in Karachi, Pakistan. Pak J Med Sci. Special Supplement ICON 2020. 2020;36(1):S55-S60. doi: https://doi.org/10.12669/pjms.36.ICON-Suppl.1716 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| تدمد: | 1681-715X 1682-024X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d956e32b366c758e33bf2988619efaf https://doi.org/10.12669/pjms.36.icon-suppl.1716 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....5d956e32b366c758e33bf2988619efaf |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1681715X 1682024X |
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