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Implementation of multifaceted diagnostic stewardship for Clostridioides difficile infection during the COVID-19 pandemic at a small Japanese hospital

Published online by Cambridge University Press:  04 June 2024

Yasuhiro SasakiOpen the ORCID record for Yasuhiro Sasaki[Opens in a new window],
Masataka Yano,
Ayumi Umehara and
Yasuaki TagashiraOpen the ORCID record for Yasuaki Tagashira[Opens in a new window]
Yasuhiro Sasaki
Affiliation:
Department of Infection Control, Tama-Nambu Chiiki Hospital, Tokyo, Japan
Masataka Yano
Affiliation:
Department of Infection Control, Tama-Nambu Chiiki Hospital, Tokyo, Japan
Ayumi Umehara
Affiliation:
Department of Infection Control, Tama-Nambu Chiiki Hospital, Tokyo, Japan
Yasuaki Tagashira*
Affiliation:
Department of Infection Control, Tama-Nambu Chiiki Hospital, Tokyo, JapanDepartment of Infectious Diseases, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
*
Corresponding author: Yasuaki Tagashira; Email: tagashira1134.cid@tmd.ac.jp

Abstract

Objective:

Clostridioides difficile infection (CDI) is a common, healthcare-associated infection. However, in Japan, testing for CDI is infrequent, suggesting that its incidence may be underestimated. This study aimed to examine the implementation of a multifaceted, diagnostic stewardship (DS) for CDI in a small Japanese hospital during the coronavirus 2019 pandemic.

Design:

Before-after study.

Setting:

A small Japanese community hospital.

Participants:

Healthcare workers including physicians, nurses, and pharmacists.

Interventions:

A multifaceted intervention including (1) the addition of CD testing criteria to the hospital guidelines; (2) provision of a tutorial on CD testing to physicians, nurses, and pharmacists; (3) assessment by clinical pharmacists and nurses of the need for CD testing in patients with nosocomial diarrhea and issuance of recommendations for CD testing to physicians; (4) reporting of data on the CD testing rate and CDI incidence in the study center.

Results:

The CD testing rate increased before the pandemic (+0.16/10,000 patient-days (PD); P = .28), decreased significantly during the pandemic (−0.79/10,000 PD; P = .02), and then increased significantly immediately after the implementation of the intervention (+29.6/10,000 PD; P < .01). Similarly, the CDI incidence increased significantly before the pandemic (+0.26/10,000 PD; P = .02) and decreased significantly during the pandemic (−0.49/10,000 PD; P = .01). Implementation of the intervention resulted in an immediate and significant increase in the CDI incidence (+6.2/10,000 PD; P < .01).

Conclusion:

Multifaceted DS involving multidisciplinary specialists was effective in improving CD testing, suggesting that appropriate testing can contribute to diagnosing CDI accurately.

Information

Type
Original Article
Information
Antimicrobial Stewardship & Healthcare Epidemiology , Volume 4 , Issue 1 , 2024, e96
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

Clostridioides difficile (CD) is the most commonly isolated pathogen in hospitals, and CD infection (CDI) is one of the most important, healthcare-associated infections. Reference Leffler and Lamont1 Therefore, it is important to diagnose and treat CDI appropriately. However, rather than the widely used blood and urine cultures, specific tests are needed to diagnose CDI. However, the decision to test often depends on the physician’s awareness of the importance of CDI as a healthcare-associated infection.

Previous, retrospective cohort studies Reference Honda, Yamazaki, Sato and Dubberke2–Reference Kimura, Stanhope and Sugitani6 in Japan reported the CD testing rate to be 24.5–44.0 per 10,000 patient-days (PD) and the CDI incidence to be 0.8–3.11/10,000 PD, demonstrating that the CD testing rate and CDI incidence varied widely among institutions. On the other hand, a multicentric, prospective study in Japan reported the CD testing rate to be 30.4/10,000 PD and the CDI incidence to be 7.4/10,000 PD. Reference Kato, Senoh and Honda7 Furthermore, a systematic review reported a CDI incidence of 8.3/10,000 PD. Reference Marra, Perencevich and Nelsonet8 The current CDI incidence in Japan may be underestimated due to the lack of appropriate testing. During the coronavirus disease 2019 (COVID-19) pandemic, the CDI incidence declined in the United States. Although the use of personal protective equipment and compliance with hand hygiene were cited as possible reasons for this decline, Reference Reveles, Frei, Strey and Young9 diarrhea is a symptom of CDI as well as of COVID-19, Reference Tariq, Saha, Furqan, Hassett, Pardi and Khanna10 making it very difficult to determine its cause and leading to CDI possibly being overlooked in patients with COVID-19. Reference Luo, Grinspan and Fu11

The optimal CD testing rate is still unknown. The incidence of asymptomatic carriers in acute care hospitals is reportedly as high as 3%–26%, indicating an over-testing of asymptomatic patients, Reference McDonald, Gerding and Johnson12 which can lead to unnecessary treatment. Appropriate testing can prevent overtreatment and enhance antimicrobial stewardship. Reference Khuvis, Alsoubani, Rodday and Doron13

Furthermore, diagnostic stewardship (DS) may conduce to appropriate antimicrobial use if a multidisciplinary team is involved in its implementation. Reference Curren, Lutgring and Kabbani14 The current guidelines state that unformed stools are an indication for testing but that solid stools are not Reference McDonald, Gerding and Johnson12 ; thus, it is important for nurses to assess stool consistency accurately. Also, non-physician personnel need to understand the testing criteria so as to be able to inform physicians about which tests should be performed at what timing for an accurate diagnosis. The present study therefore aimed to evaluate a multifaceted, multidisciplinary intervention for DS of CDI.

Materials and methods

Study setting

The present study was conducted at Tokyo Metropolitan Tama-Nambu Chiiki Hospital, a 26-department, 287-bed (high-care unit with 6 beds) community hospital with no infectious disease physicians on the staff. The study period included the period before the pandemic (2018/4–2020/3), during the pandemic (2020/4–2022/3), and after DS implementation (2022/4–2023/3). The impact of the DS for CDI during the pandemic on the CD testing rate and CDI incidence was analyzed. Nurses assessed stool consistency using the Bristol Stool Scale Reference Lewis and Heaton15 during the entire study period. Before the intervention, if an enzyme immunoassay (EIA) (TechLab, Blacksburg, VA, USA) returned antigen positive and toxin negative, a stool culture was performed, and the EIA was repeated. Reference Tanino, Kodama and Daicho16 After the intervention, nucleic acid amplification assay (NAAT) (Beckman Coulter, California, USA) was performed if the EIA results returned antigen positive and toxin negative.

Multifaceted interventions

The intervention comprised the following parts: (1) the addition of CD testing criteria to the hospital’s local guidelines; (2) provision of a tutorial on CD testing to physicians, nurses, and pharmacists; (3) assessment by clinical pharmacists and nurses of the need for CD testing in patients with nosocomial diarrhea and the issuance of recommendations for CD testing to physicians; (4) change in the assessment method from EIA to NAAT; and (5) provision of the data on the CD testing rate and CDI incidence in the hospital to healthcare workers every 3 months. The testing criteria included (1) diarrhea cases of unknown etiology >3 within 24 hours; (2) at least one case of diarrhea with abdominal cramps/pain; (3) frequency of increased diarrhea or worsening of abdominal pain within 24 hours >3 times that of the normal diarrhea frequency in patients with chronic diarrhea; (4) persistence of diarrhea >24 hours and increased fecal excretion, or greater abdominal pain or discomfort in patients with an enterocutaneous fistula. Excluding criteria were as follows: (1) starting a postprandial diet or laxatives within 48 hours and (2) CDI diagnosis within 7 days. The tutorial emphasized the introduction of the new testing criteria and the fact that CDI cannot be ruled out without testing.

Definitions

CDI was diagnosed on the basis of the following signs and symptoms in addition to positive findings for toxins on an EIA or NAAT: (1) at least three cases of diarrhea with severity >6 on the Bristol Stool Scale within 24 hours, (2) at least one case of diarrhea with abdominal pain or tenderness, 17 and (3) at least three cases of exacerbated diarrhea or abdominal pain within 24 hours in patients with chronic diarrhea. In patients with an intestinal fistula, the persistence of diarrhea for more than 24 hours, greater than usual fecal excretion, and severe abdominal pain or abdominal discomfort were considered indicative of CDI. Patients aged <2 years were excluded. Reference McDonald, Gerding and Johnson12

A new case of CDI was defined by the absence of signs or symptoms within the previous 8 weeks and positivity for CD on an EIA or NAAT. A recurrent case was defined by a history of CDI positivity within 2–8 weeks of the initial infection, recurrence of signs and symptoms, and positive results on an EIA or NAAT. 17

The following three epidemiological categories were also established: (1) healthcare facility-onset (HO) disease, in which a positive stool specimen was collected more than 3 calendar days after hospital admission; (2) community-onset healthcare facility-associated (CO-HCFA) disease, in which a positive stool specimen was collected in an outpatient setting or within 3 days after hospital admission in a patient with a documented, overnight stay in a healthcare facility (i.e., hospital or long-term care facility) in the 12 weeks prior to the collection of a positive stool specimen; and (3) community-associated (CA) disease, in which a positive stool specimen was collected in the outpatient setting or within 3 calendar days after hospital admission in a patient with no documented overnight stay in a healthcare facility in the 12 weeks prior to the collection of a positive stool specimen. 17

CDI severity was rated as mild if serum creatinine (SCr) was <1.5 mg/dL and white blood cell (WBC) count was <15,000 cells/mL; severe if SCr was ≥1.5 mg/dL or WBC was ≥15,000 cells/mL; and fulminant if ileus, toxic megacolon, hypotension, or shock was present. 17

Outcomes

The primary outcome was the monthly CD testing rate and the CDI incidence per 10,000 PD. The secondary outcomes were the severity, classification, mortality rate, CDI recurrence, length of hospital stay, and test sensitivity before and after the intervention, with stool characteristics being used as an index of efficacy.

Statistical analysis

The CD testing rate and CDI incidence were calculated monthly per 10,000 PD. Segmented regression in interrupted time-series analysis (ITSA) was performed before the pandemic (2018/4–2020/3), during the pandemic (2020/4–2022/3), and after the intervention (2022/4–2023/3). The ITSA value based on monthly intervals was 24 before the pandemic, 24 during the pandemic, and 12 after the multifaceted intervention period. The χ2 test was conducted before and after the intervention for patients with a Bristol Stool Scale ≤5 to assess the sensitivity of the testing methods. P < .05 was considered to indicate statistical significance. Stata version 17.0 (StataCorp, College Station, TX) was used for all statistical analyses. The institutional review board at Tokyo Metropolitan Tama-Nambu Chiiki Hospital approved this study, and patient consent was waived because the present study was a quality improvement study.

Results

During the study period, the median CD testing rate per period (interquartile range [IQR]) was 27.4 (21.3–30.8), 29.9 (22.2–40.0), and 51.1 (41.0–57.5) per 10,000 PD for the period before the pandemic, during the pandemic, and after the implementation of the DS. The median CDI incidence (IQR) was 3.0 (1.5–5.3), 1.9 (0.0–2.7), and 5.9 (2.7–6.8) per 10,000 PD for the respective period.

With respect to the CD testing rate, ITSA demonstrated an increasing trend before the pandemic (+0.16; 95% CI, −0.14–0.46; P = .28), but the level then increased immediately during the pandemic (+9.06; 95% CI, 0.91–17.21; P = .03) before decreasing (−0.79; 95% CI, −1.44–−0.13; P = .02). The level increased significantly immediately after the implementation of the intervention (+29.6; 95% CI, 14.94–44.21; P < .01), and the trend showed no change at this juncture (+0.31; −2.02–2.65; P = .79) (Figure 1).

Figure 1.

Changes in the monthly CD testing rate per 10,000 PD before the pandemic, during the pandemic, and after DS implementation. Note: CD, Clostridioides difficile; PD, patient-days; DS, diagnostic stewardship.

With respect to the CDI incidence, ITSA demonstrated a statistically increasing trend (+0.26; 95% CI, 0.04–0.48; P = .02) as with the CD testing rate before the pandemic, but the level immediately fell during the pandemic (−1.91; 95% CI, −8.09–4.27; P = .54). The trend in the incidence decreased during the pandemic (−0.48; 95% CI, −0.85–−0.12; P = 0.01). The level increased significantly after the intervention (+6.24; 95% CI, 2.75–9.73; P < .01), and the trend showed no significant change (+0.13; 95% CI, −0.29–0.56; P = .53) (Figure 2). Table 1 shows the data in detail.

Figure 2.

Changes in the monthly Clostridioides difficile infection incidence per 10,000 PD before the pandemic, during the pandemic, and after DS implementation. Note: PD, patient-days; DS, diagnostic stewardship.

Table 1.

Changes in the CD testing rate and CDI incidence before the pandemic, during the pandemic, and after DS implementation as analyzed by interrupted time-series analysis

Abbreviations: CD, Clostridioides difficile; CDI, Clostridioides difficile infection; DS, diagnostic stewardship; PD, patient-days.

With respect to individual CDI cases, 73.3%–74.1% were non-severe during the entire period, and HO-CDI and CO-HCFA-CDI accounted for 91.4%, 81.5%, 76.7% and 6.9%, 11.1%, 16.7% of the cases in the respective period. Table 2 shows the composition of the CDI patients during each period.

Table 2.

Characteristics of the patients with CDI during the study period

Abbreviations: CDI, Clostridioides difficile infection; IQR, interquartile range.

Of the patients who underwent CD testing, the percentage of those with a Bristol Stool Scale ≤5 drastically changed from 148 of 736 (20.1%) in the preintervention period to 24 of 320 (7.5%) in the postintervention period (P < .01). A comparison of the EIA/Stool culture method with EIA/NAAT revealed a positivity rate of 34% (32/94) and 40% (14/35), respectively (P = .53).

Discussion

The present study evaluated the impact of a multifaceted DS for CDI in a small, Japanese hospital during the COVID-19 pandemic. The CD testing rate and CDI incidence, which had been declining during the pandemic, increased immediately after the intervention and remained at the same level during the intervention. Moreover, it was deemed to have reduced overdiagnosis by obviating the need for testing in patients with a stool consistency not conforming to the stated criteria. The findings suggested that even in small hospitals, the implementation of multidisciplinary DS can be effective in optimizing the diagnosis of CDI.

Previous reports of DS for CDI have included a single intervention consisting of tutorials Reference Sopena, Freixas and Bella18 aimed at increasing the CD testing rate, but few studies have examined a DS that is both multidisciplinary and multifaceted. Appropriate and timely testing of the right patient Reference Fabre, Davis and Diekema19 is crucial for the optimal outcome, but this can be achieved only through the cooperation of the nursing staff in assisting physicians with determining the most appropriate timing for CD testing and of pharmacists in clarifying which patients require CD testing.

The underdiagnosis of CDI might be the result of a lack of awareness about the disease Reference Alcalá, Martín and Marín20 stemming from that fact that it has a lower incidence than other, healthcare-associated infections, such as Methicillin-resistant Staphylococcus aureus and extended-spectrum beta-lactamases-producing Enterobacterales infections. Therefore, in the present study, providing regular feedback may have helped to maintain awareness of the CDI risk among many healthcare workers. The CD testing rate reportedly correlates with the CDI incidence. Reference Davies, Longshaw and Davis21 Similarly, the CDI incidence in the present study increased immediately following the increase in the CD testing rate as part of the intervention. Furthermore, maintaining the CD testing rate postintervention stabilized the CDI incidence rate. Moreover, after the intervention, CO-HCFA-CDI increased while HO-CDI decreased possibly because previous tests were performed and the diagnosis was made after several days’ hospitalization, resulting in the categorization of more cases as HO-CDI. However, postintervention, tests began to be performed at an earlier stage, leading to the more accurate categorization of cases as CO-HCFA-CDI together with a corresponding decrease in HO-CDI cases. Appropriate timing of testing can improve patient outcomes as well as infection prevention and control by reducing nosocomial transmission.

The quality of stool specimens is important for testing. A previous study describing a DS for CDI based on a clinical decision support system aimed at reducing excessive testing Reference Krouss, Israilov and Alaiev22 excluded solid stool specimens from the testing criteria. Reference Mizusawa, Small and Hsu23 On the other hand, on the assumption that the critical issue was unawareness of the importance of CDI diagnostic testing rather than the qualities of the stool specimen, the present study did not restrict testing. Nonetheless, the quality of stool samples collected from the patients in the present study improved following the implementation of the intervention. Thus, raising the awareness of medical staff in the various, relevant disciplines may not only improve awareness of the value of testing but may also contribute to improving the accuracy of stool sample assessments.

The present study has several limitations. Although it successfully implemented a multidisciplinary, multifaceted DS for CDI, its findings may not be generalizable because the study was monocentric, quasi-experimental, and of relatively short duration. Further research at multiple, independent centers is needed to verify the present findings. Moreover, the use of laxatives was not determined in patients receiving the tests. Thus, overdiagnosis may have resulted. However, the data showed an improvement in stool characteristics following the intervention. Furthermore, the change in the recommended antimicrobial therapy from metronidazole to vancomycin and fidaxomicin may have affected the recurrence rate. Also, the testing method was also changed from EIA to NAAT after the intervention; therefore, the latter’s higher sensitivity cannot be ruled out as a reason for the observed increase in CDI incidence. However, because the CD testing rate increased, the change in the testing method may have had little effect on increasing the CDI incidence. The optimal frequency of testing was unable to be determined in the present study. Finally, goodness of fit or lags related to the differences caused by the changes made in the study were not assessed.

Conclusion

To optimize CD testing, a multidisciplinary, multifaceted DS may be effective for countering underdiagnosis and may contribute to improving the accuracy of stool sample assessments. The prevalence of infections caused by resistant bacteria is on the rise, Reference Chen, Chen and Liang24 and inappropriate antimicrobial use increases this risk, including that of CDI. Hospital infection prevention and control measures, continuous symptom surveillance, and education of healthcare workers are vital to enabling the early detection of symptoms by allowing correct diagnosis, appropriate, individualized treatment, and prevention of nosocomial CD transmission.

Acknowledgments

We are indebted to James R. Valera for his assistance with editing this manuscript.

Author contributions

YS and YT designed the study protocol. YS collected the clinical data, and YS and YT drafted the first version of the manuscript. YT revised the manuscript, and all the authors contributed to the final version of the manuscript for submission.

Financial support

None.

Competing interests

The authors declare no competing of interests and have submitted the ICMJE Form for the Disclosure of Potential Competing of Interests.

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Figure 0

Figure 1.Changes in the monthly CD testing rate per 10,000 PD before the pandemic, during the pandemic, and after DS implementation. Note: CD, Clostridioides difficile; PD, patient-days; DS, diagnostic stewardship.

Figure 1

Figure 2.Changes in the monthly Clostridioides difficile infection incidence per 10,000 PD before the pandemic, during the pandemic, and after DS implementation. Note: PD, patient-days; DS, diagnostic stewardship.

Figure 2

Table 1.Changes in the CD testing rate and CDI incidence before the pandemic, during the pandemic, and after DS implementation as analyzed by interrupted time-series analysis

Figure 3

Table 2.Characteristics of the patients with CDI during the study period