Fairness of financial penalties to improve control of Clostridium difficile

Comparison of Control of Clostridium difficile Infection in Six English Hospitals Using Whole-Genome Sequencing

Background.

Variation in Clostridium difficile infection (CDI) rates between healthcare institutions suggests overall incidence could be reduced if the lowest rates could be achieved more widely.

Methods.

We used whole-genome sequencing (WGS) of consecutive C. difficile isolates from 6 English hospitals over 1 year (2013–14) to compare infection control performance. Fecal samples with a positive initial screen for C. difficile were sequenced. Within each hospital, we estimated the proportion of cases plausibly acquired from previous cases.

Results.

Overall, 851/971 (87.6%) sequenced samples contained toxin genes, and 451 (46.4%) were fecal-toxin-positive. Of 652 potentially toxigenic isolates >90-days after the study started, 128 (20%, 95% confidence interval [CI] 17–23%) were genetically linked (within ≤2 single nucleotide polymorphisms) to a prior patient’s isolate from the previous 90 days. Hospital 2 had the fewest linked isolates, 7/105 (7%, 3–13%), hospital 1, 9/70 (13%, 6–23%), and hospitals 3–6 had similar proportions of linked isolates (22–26%) (P ≤ .002 comparing hospital-2 vs 3–6). Results were similar adjusting for locally circulating ribotypes. Adjusting for hospital, ribotype-027 had the highest proportion of linked isolates (57%, 95% CI 29–81%). Fecal-toxin-positive and toxin-negative patients were similarly likely to be a potential transmission donor, OR = 1.01 (0.68–1.49). There was no association between the estimated proportion of linked cases and testing rates.

Conclusions.

WGS can be used as a novel surveillance tool to identify varying rates of C. difficile transmission between institutions and therefore to allow targeted efforts to reduce CDI incidence.

Hospitalization stay and costs attributable to Clostridium difficile infection: a critical review

In most healthcare systems, third-party payers fund the costs for patients admitted to hospital for Clostridium difficile infection (CDI) whereas, for CDI cases arising as complications of hospitalization, not all related costs are refundable to the hospital. We therefore aimed to critically review and categorize hospital costs and length of hospital stay (LOS) attributable to Clostridium difficile infection and to investigate the economic burden associated with it. A comprehensive literature review selected papers describing the costs and LOS for hospitalized patients as outcomes of CDI, following the use of statistics to identify costs and LOS solely attributable to CDI. Twenty-four studies were selected. Estimated attributable costs, all ranges expressed in US dollars, were $6,774-$10,212 for CDI requiring admission, $2,992-$29,000 for hospital-acquired CDI, and $2,454-$12,850 where no categorization was made. The ranges for LOS values were 5-13.6, 2.7-21.3, and 2.8-17.9 days, respectively. The categorization of CDI attributable costs allows budget holders to anticipate the cost per CDI case, a perspective that should enrich the design of appropriate incentives for the various budget holders to invest in prevention so that CDI prevention is optimized globally.

Asymptomatic Clostridium difficile colonisation and onward transmission

Introduction

Combined genotyping/whole genome sequencing and epidemiological data suggest that in endemic settings only a minority of Clostridium difficile infection, CDI, is acquired from other cases. Asymptomatic patients are a potential source for many unexplained cases.

Methods

We prospectively screened a cohort of medical inpatients in a UK teaching hospital for asymptomatic C. difficile carriage using stool culture. Electronic and questionnaire data were used to determine risk factors for asymptomatic carriage by logistic regression. Carriage isolates were compared with all hospital/community CDI cases from the same geographic region, from 12 months before the study to 3 months after, using whole genome sequencing and hospital admission data, assessing particularly for evidence of onward transmission from asymptomatic cases.

Results

Of 227 participants recruited, 132 provided ≥1 stool samples for testing. 18 participants were culture-positive for C. difficile, 14/132(11%) on their first sample. Independent risk factors for asymptomatic carriage were patient reported loose/frequent stool (but not meeting CDI criteria of ≥3 unformed stools in 24 hours), previous overnight hospital stay within 6 months, and steroid/immunosuppressant medication in the last 6 months (all p≤0.02). Surprisingly antibiotic exposure in the last 6 months was independently associated with decreased risk of carriage (p = 0.005). The same risk factors were identified excluding participants reporting frequent/loose stool. 13/18(72%) asymptomatically colonised patients carried toxigenic strains from common disease-causing lineages found in cases. Several plausible transmission events to asymptomatic carriers were identified, but in this relatively small study no clear evidence of onward transmission from an asymptomatic case was seen.

Conclusions

Transmission events from any one asymptomatic carrier are likely to be relatively rare, but as asymptomatic carriage is common, it may still be an important source of CDI, which could be quantified in larger studies. Risk factors established for asymptomatic carriage may help identify patients for inclusion in such studies.

When the user is not the chooser: learning from stakeholder involvement in technology adoption decisions in infection control

BACKGROUND

Health systems need efficient and effective innovation decisions to provide maximum benefit to patients, particularly in a climate of financial constraints. Although evidence-based innovations exist for helping to address healthcare-associated infections, the uptake and implementation of these is highly variable and in some cases very slow.

AIM

To investigate innovation adoption decisions and implementation processes from an organizational perspective, focusing on the implications of stakeholder involvement during the innovation process.

METHODS

Thirty-eight technology adoption decisions and implementation processes were examined through 121 qualitative interviews in 12 National Health Service healthcare organizations across England.

FINDINGS

Stakeholder involvement varied across organizations with decisions highly exclusive to the infection prevention and control (IPC) team, to highly inclusive of wider organizational members. The context, including organizational culture, previous experience, and logistical factors influenced the level of stakeholder engagement. The timing of stakeholder involvement in the process impacted on: (i) the range of innovations considered; (ii) the technologies selected, and (iii) the success of technology implementation. Cases of non-adoption, discontinued adoption, and of successful implementation are presented to share learning. The potential benefits of stakeholder involvement for 'successful' innovation adoption are presented including a goal-oriented framework for involvement.

CONCLUSIONS

Key stakeholder involvement can lead to innovation adoption and implementation compatible with structural and cultural contexts, particularly when involvement crosses the phases of initiation, decision-making and implementation. Involving members of the wider healthcare organization can raise the profile of IPC and reinforce efforts to make IPC everybody's business.