Perspectives on research needs in healthcare epidemiology, infection prevention, and antimicrobial stewardship: What's on the Horizon - Part II

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article
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2023
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CAMBRIDGE UNIVERSITY PRESS
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MARSCHALL, J.
SNYDERS, R. E.
SAX, H.
NEWLAND, J. G.
KWON, J. H.
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ANTIMICROBIAL STEWARDSHIP AND HEALTHCARE EPIDEMIOLOGY, v.3, n.1, article ID e212, p, 2023
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In this overview, we articulate research needs and opportunities in the field of infection prevention that have been identified from insights gained during operative infection prevention work, our own research in healthcare epidemiology, and from reviewing the literature. The 10 areas of research need are: 1) Transmissions and interruptions, 2) personal protective equipment and other safety issues in occupational health, 3) climate change and other crises, 4) device, diagnostic, and antimicrobial stewardship, 5) implementation and deimplementation, 6) healthcare outside the acute care hospital, 7) low- and middle-income countries, 8) networking with the neighbors, 9) novel research methodologies, and 10) the future state of surveillance. An introduction and chapters 1-5 are presented in part I of the article and chapters 6-10 and the discussion in part II. There are many barriers to advancing the field, such as finding and motivating the future IP workforce including professionals interested in conducting research, a constant confrontation with challenges and crises, the difficulty of performing studies in a complex environment, the relative lack of adequate incentives and funding streams, and how to disseminate and validate the often very local quality improvement projects. Addressing research gaps now (i.e., in the post-pandemic phase) will make healthcare systems more resilient when facing future crises.
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  1. Rinke M.L., Bundy D.G., Heo M., Et al., Pediatric surgical site infection (SSI) following ambulatory surgery: Incidence, risk factors and patient outcomes, Infect Control Hosp Epidemiol, 43, pp. 1036-1042, (2022)
  2. Pivot D., Hoch G., Astruc K., Et al., A systematic review of surgical site infections following day surgery: a frequentist and a Bayesian meta-analysis of prevalence, J Hosp Infect, 101, pp. 196-209, (2019)
  3. Daker-White G., Panagioti M., Giles S., Et al., Beyond the control of the care home: A meta-ethnography of qualitative studies of Infection Prevention and Control in residential and nursing homes for older people, Health Expect, 25, pp. 2095-2106, (2022)
  4. Tomczyk S., Twyman A., de Kraker M.E.A., Et al., The first WHO global survey on infection prevention and control in health-care facilities, Lancet Infect Dis, 22, pp. 845-856, (2022)
  5. Lowe H., Woodd S., Lange I.L., Janjanin S., Barnet J., Graham W., Challenges and opportunities for infection prevention and control in hospitals in conflict-affected settings: a qualitative study, Confl Health, 15, (2021)
  6. Rangachari P., Knowledge sharing and organizational learning in the context of hospital infection prevention, Qual Manag Health Care, 19, pp. 34-46, (2010)
  7. Polasek O., Wazny K., Adeloye D., Et al., Research priorities to reduce the impact of COVID-19 in low- and middle-income countries, J Glob Health, 12, (2022)
  8. Tomson G., Causevic S., Ottersen O.P., Et al., Solidarity and universal preparedness for health after covid-19, BMJ, 372, (2021)
  9. Collignon P., Beggs J.J., Walsh T.R., Gandra S., Laxminarayan R., Anthropological and socioeconomic factors contributing to global antimicrobial resistance: a univariate and multivariable analysis, Lancet Planet Health, 2, pp. e398-e405, (2018)
  10. Surial B., Atkinson A., Kulpmann R., Et al., Better operating room ventilation as determined by a novel ventilation index is associated with lower rates of surgical site infections, Ann Surg, 276, pp. e353-e360, (2022)
  11. Tsantes A.G., Papadopoulos D.V., Lytras T., Et al., Association of malnutrition with surgical site infection following spinal surgery: systematic review and meta-analysis, J Hosp Infect, 104, pp. 111-119, (2020)
  12. Harris A.D., Lautenbach E., Perencevich E., A systematic review of quasi-experimental study designs in the fields of infection control and antibiotic resistance, Clin Infect Dis, 41, pp. 77-82, (2005)
  13. Hussey M.A., Hughes J.P., Design and analysis of stepped wedge cluster randomized trials, Contemp Clin Trials, 28, pp. 182-191, (2007)
  14. Nagata K., Yamada K., Shinozaki T., Et al., Effect of antimicrobial prophylaxis duration on health care-associated infections after clean orthopedic surgery: a cluster randomized trial, JAMA Netw Open, 5, (2022)
  15. Dickerman B.A., Gerlovin H., Madenci A.L., Et al., Comparative effectiveness of BNT162b2 and mRNA-1273 vaccines in U.S. Veterans, N Engl J Med, 386, pp. 105-115, (2022)
  16. Ioannou G.N., Bohnert A.S.B., O'Hare A.M., Et al., Effectiveness of mRNA COVID-19 vaccine boosters against infection, hospitalization, and death: a target trial emulation in the Omicron (B.1.1.529) Variant Era, Ann Intern Med, 175, pp. 1693-1706, (2022)
  17. Walker A.S., White I.R., Turner R.M., Et al., Personalised randomised controlled trial designs-a new paradigm to define optimal treatments for carbapenemresistant infections, Lancet Infect Dis, 21, pp. e175-e181, (2021)
  18. Quartagno M., Walker A.S., Carpenter J.R., Phillips P.P., Parmar M.K., Rethinking non-inferiority: a practical trial design for optimising treatment duration, Clin Trials, 15, pp. 477-488, (2018)
  19. Kidwell K.M., Almirall D., Sequential, multiple assignment, randomized trial designs, JAMA, 329, pp. 336-337, (2023)
  20. Atkinson A., Ellenberger B., Piezzi V., Et al., Extending outbreak investigation with machine learning and graph theory: Benefits of new tools with application to a nosocomial outbreak of a multidrug-resistant organism, Infect Control Hosp Epidemiol, 44, pp. 246-252, (2022)
  21. Patel M., Surti M., Adnan M., Artificial intelligence (AI) in Monkeypox infection prevention, J Biomol Struct Dyn, 41, pp. 8629-8633, (2023)
  22. Stachel A., Keegan L.T., Blumberg S., Modeling transmission of pathogens in healthcare settings, Curr Opin Infect Dis, 34, pp. 333-338, (2021)
  23. Russo P.L., Shaban R.Z., Macbeth D., Carter A., Mitchell B.G., Impact of electronic healthcare-associated infection surveillance software on infection prevention resources: a systematic review of the literature, J Hosp Infect, 99, pp. 1-7, (2018)
  24. Marra A.R., Alkatheri M., Edmond M.B., Catheter-associated urinary tract infection: utility of the ICD-10 metric as a surrogate for the National Healthcare Safety Network (NHSN) Surveillance Metric, Infect Control Hosp Epidemiol, 38, pp. 506-507, (2017)
  25. Cury A.P., Almeida Junior J.N., Costa S.F., Et al., Diagnostic performance of the Xpert Carba-R assay directly from rectal swabs for active surveillance of carbapenemase-producing organisms in the largest Brazilian University Hospital, J Microbiol Methods, 171, (2020)
  26. Baker M.A., Yokoe D.S., Stelling J., Et al., Automated outbreak detection of hospital-associated pathogens: Value to infection prevention programs, Infect Control Hosp Epidemiol, 41, pp. 1016-1021, (2020)
  27. Kuhn B.M., Margellos D.L., Global Perspectives in Megatrends, (2022)
  28. Wong S.Y., Tan B.H., Megatrends in infectious diseases: the next 10 to 15 years, Ann Acad Med Singap, 48, pp. 188-194, (2019)
  29. Braithwaite J., Mannion R., Matsuyama Y., Et al., The future of health systems to 2030: a roadmap for global progress and sustainability, Int J Qual Health Care, 30, pp. 823-831, (2018)