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Details

Autor(en) / Beteiligte
Titel
A self-reported survey on the implementation of infection prevention and control elements in Indian hospitals, part of a HAI surveillance network: Results from 23 hospitals conducting a standardized IPC assessment
Ist Teil von
  • American journal of infection control, 2023-01, Vol.51 (1), p.29-34
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2023
Quelle
MEDLINE
Beschreibungen/Notizen
  • Healthcare-associated infections (HAIs) are one of the most common adverse events in patient care that account for substantial morbidity and mortality. We evaluate the existing Infection Prevention and Control (IPC) practices in hospitals participating in the nationally representative HAI Surveillance network. This cross-sectional survey was conducted in 23 hospitals across 22 states of India from October-2015 to September-2018 in the HAI surveillance network. The World Health Organization (WHO) IPC core components assessment tool for health-care facility level (IPCAT-H) was adapted from IPC assessment tool developed by US Centers for Disease Control and Prevention (US CDC) under the Epidemiology and Laboratory Capacity (ELC) Infection Control Assessment and Response (ICAR) Program. Mann–Whitney U test was used to calculate the significant difference between scores (P < .05). Amongst the participating hospitals, 7 were private sectors and 16 were public health care facilities. Infection IPCAT-H average score per multimodal strategy was less than 50% for programmed IPC activities (45.7); implementation of health care workers (HCWs) immunization programme (43.5%); monitoring and evaluation component (38.30%). There is potential for improvement in Human Resources, Surveillance of HAIs as well as Monitoring and Evaluation components. •Key areas were identified for improvement of IPC programs.•The median IPCAT-H score for hospitals was 558 out of 800.•Results motivates sites to share successes and support others to fill IPC gaps.•Repeated application of the IPCAT-H may reveal new developments and patterns.
Sprache
Englisch
Identifikatoren
ISSN: 0196-6553
eISSN: 1527-3296
DOI: 10.1016/j.ajic.2022.04.014
Titel-ID: cdi_proquest_miscellaneous_2665562549

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