Abstract
Objective
There are data suggesting potential benefit to screening hospitalized patients for MRSA colonization followed by contact precautions for carriers. However, MRSA screening, like most prevention interventions, has associated costs that must be put into context of potential benefits. We therefore sought to explore the economic impact to a hospital of universal MRSA screening.
Methods
We used a decision tree model to estimate the direct economic impact to an individual hospital of starting universal MRSA screening and contact precautions. Projected costs and benefits were based on literature derived data. Our model examined outcomes of several strategies including non-nares MRSA screening and comparison of culture versus PCR based screening.
Results
Under baseline conditions, the costs of universal MRSA screening and contact precautions outweighed the projected benefits generated by preventing MRSA related infections, resulting in economic costs of $104,000 per 10,000 admissions ([95% credibility range, $83,000 to $126,000]). Cost-savings only occurred when the model used estimates at the extremes of our key parameters. Non-nares screening and PCR-based testing, both of which identified more MRSA colonized persons, resulted in more MRSA infections averted, but increased economic costs of the screening program.
Conclusions
We found that universal MRSA screening, while providing potential benefit in preventing MRSA infection, is relatively costly may be economically burdensome for a hospital. Policy makers should consider the economic burden of MRSA screening and contact precautions in relation to other interventions when choosing programs to improve patient safety and outcomes.
Methicillin-resistant Staphylococcus aureus (MRSA) is a major cause of healthcare-associated infections, with particularly high incidence in the United States (U.S.), Asia, and parts of Europe.(1, 2) MRSA infections amongst hospitalized patients can result in devastating morbidity and significant mortality. Preventing spread of MRSA amongst hospitalized patients is a priority for hospitals, public health officials, and policy makers.
Amongst hospital-based strategies to prevent MRSA infections, MRSA screening followed by subsequent contact precautions is a common strategy used by U.S. hospitals.(3-5) MRSA screening and contact precautions in populations with high MRSA prevalence has demonstrated effectiveness in reducing transmission and newly acquired infections.(6-12) Guidelines from the Society for Healthcare Epidemiology of America (SHEA) recommend active surveillance for MRSA,(5) but this recommendation has been challenged and is not universally adopted as a gold standard across the US.(13) Public concern about MRSA infections has led to a number of U.S. state legislatures passing laws mandating that hospitals perform active surveillance for MRSA in selected populations, particularly for intensive care units (ICUs), regardless of underlying MRSA prevalence.(14) Others have advocated for even broader, hospital-wide programs of universal surveillance and isolation.(15, 16) Support for broader screening has come from investigators suggesting that hospital-wide, universal surveillance may be a cost-effective strategy when considered from a societal perspective.(16, 17)
While universal surveillance may be cost-effective from a societal perspective, hospitals considering implementation of universal surveillance must consider the additional costs incurred from surveillance and isolation, and contact precautions that are not reimbursed. The economic impact to an individual hospital may represent an important barriers to implementation. To examine the potential economic barriers to implementation of universal MRSA surveillance, we developed a decision tree model to quantify the costs and benefits of implementing universal MRSA surveillance in a hospital. We believe that results of our model may help hospitals, state, and national policymakers understand the economic impact of universal surveillance on a hospital.
Methods
We developed a decision tree model to estimate the economic impact of adopting a hospital-wide, universal active surveillance program for MRSA with subsequent contact precautions for all MRSA carriers. Specifically, we compared the costs of the surveillance and contact precaution program against the projected economic benefits of preventing secondary MRSA infections. The cost-benefit analysis was conducted from the individual hospital perspective and compared against no screening. We report results for 10,000 inpatient admissions, which can readily be converted to any number of admissions (e.g., a 500 admission hospital would divide 10,000 by 20). Based on a recently completed systematic literature review, our baseline conditions assume an MRSA nares colonization prevalence of 7.3% in US hospitals.(18) Based on the same review, our baseline conditions assume a ratio of nasal carriage to total body MRSA colonization.(18)
Development of the Decision Analysis Model
We used TreeAgo Pro 2013 (Williamstown, MA) to build a cost-benefit model to examine the implementation of a hospital wide, universal MRSA screening program from the hospital perspective (Figure 1, Appendix 1). Briefly, each patient entering the model was categorized as either MRSA colonized or not colonized. Each patient was defined as carrying MRSA at each pre-specified body site, based on our previous systematic review of the literature.(18, 19) Input parameters for costs, MRSA epidemiology, MRSA testing characteristics, and potential benefits of contact precautions were extracted from the literature and summarized in Table 1. Several key parameters were the focus of additional sensitivity analysis as described below.
Table 1.
Parameter | Distribution | Mean or Median^ | Range, Standard Deviation | Source |
---|---|---|---|---|
Costs (2014 $US) | ||||
Swab | 1 | (10) | ||
PCR Materials | 25 | (10) | ||
Chromogenic Agar Materials | 3.5 | (10) | ||
Gloves | gamma | 0.10 | 0.007 | (10, 32) |
Gown | 1.01 | (10) | ||
RN Hourly Wage | triangular | 33.40^ | 27.37 – 40.14 | (33) |
Technician Hourly Wage | triangular | 18.99^ | 12.65 – 29.44 | (33) |
Cost of Hospital Bed Day*‡ | gamma | 1,507.92 | 205.71 | (34) |
Probabilities | ||||
PCR Sensitivity | beta | 0.87 | 0.075 | (35-39) |
PCR Specificity | beta | 0.96 | 0.022 | (35-39) |
Chromogenic Agar Sensitivity | beta | 0.82 | 0.007 | (35-39) |
Chromogenic Agar Specificity | beta | 0.99 | 0.0007 | (35-39) |
MRSA Prevalence on Admission | triangular | 0.095^ | 0.06 – 0.20 | (18) |
Carriers Detectable by Nares | triangular | 0.72^ | 0.63 – 0.73 | (18) |
Carriers Detectable by Orophayrnx | uniform | - | 0.15 – 0.20 | (18) |
Durations | ||||
Hospital Length of Stay for Admitted Patients (days)*† | gamma | 5.0 | 0.42 | (34) |
Nurse Time Don/Doff (minutes) | 1 | (10, 32, 40) | ||
Contacts per Day | triangular | 35^ | 25 – 50 | (9, 41) |
Technician Time to Process PCR Sample (minutes) | 7.5 | (10, 32, 40) | ||
Technician Time to Process Chromogenic Agar Sample (minutes) | 3.5 | Expert Opinion | ||
Sensitivity Analysis | ||||
Parameter | Base Case Scenario | Range of Values Tested | Sources | |
Number of MRSA Infections Averted per Isolated MRSA Carrier | 0.005 | 0.005, 0.015, 0.03 | (8-11, 15, 23) | |
MRSA Attributable Length of Stay | 6 | 2 – 16 | (24-28) | |
MRSA Prevalence of Admitted Patients | Distribution listed above | 0.095 – 0.30 | (18) |
Note: Carriers detectible by multi-site is the remainder of the total body colonization minus that detectable in the nares and oropharynx (this is not presented in the table)
Values are mean and standard error
denotes median values
Calculated from the mean cost of hospitalization divided by the mean length of stay for ICD-9 code 041.12 in HCUP for 2011 and discounted to 2014 $US
Length of stay for all admissions in HCUP
All patients underwent MRSA screening on admission using one of the following screening strategies: 1) nares only, 2) nares and oropharynx, or 3) multi-site swabbing. In our model, patients test either positive or negative for MRSA depending on their colonization status and the sensitivity and specificity of the test (Table 1). In our model, patients testing positive, regardless of their true colonization status (i.e., both true and false positives) were placed in contact precautions for the remainder of their hospitalization. (Contact precautions were not used pre-emptively pending test results.) Separate analyses were conducted to compare screening with chromagar methods and PCR-based methods. We used each of these models to test the hypothesis that better screening, either by swabbing more body sites or using more sensitive diagnostic testing, would improve the benefit of screening and contact precautions.
Determination of Estimated Costs
The costs of the screening and contact precaution program are based on the material and labor costs to the hospital of both the screening procedures and the contact precautions (Table 1). For each simulation, the cost for each screening strategy was calculated as:
(Cost of Contact Precautions + Cost of Screening)
The screening costs included the cost of swab(s), which assumed each body site was tested with its own swab. The costs of routine culture were based on chromogenic agar plates where each patient required one plate. For multiple body site testing, we allowed for split plate testing, maintaining one chromogenic agar plate per patient. For PCR based testing, we included the cost of PCR materials. For multisite PCR testing, we assumed that the multiple body site samples could be batched for one PCR test. For both culture and PCR testing, we included the cost of technicians’ time to process the sample.
The cost of contact precautions included the material costs of additional gloves and gowns used and additional nursing time to don and doff gloves and gowns before each entry into patient rooms for the duration of their hospital stay. The cost of nursing time was estimated from the average hourly nurse wage from the U.S. Bureau of Labor and Statistics (national statistics for 2012).(20) We did not include additional support for infection control personnel to manage the program, nor did we include start-up costs, e.g. staff training. Costs were converted from previous years to 2014 U.S. dollars using a 3% discount rate.
Determination of Projected Benefits
The potential benefit to a hospital of a screening and contact precaution program is averting secondary MRSA infections through the appropriate implementation of contact precautions. The cost of an MRSA infection to the hospital was calculated from the MRSA attributable length of stay and the cost of a hospital bed day, following a method described by Graves.(21) These additional days represents the opportunity cost of a lost bed day, where a bed could have been used by another patient to generate revenue.
For each simulation, the benefit for each screening strategy was calculated as:
(Number Infections Averted × MRSA Attributable Length of Stay × Cost of Lost Bed Day)
Cost-Benefit Analysis
The economic impact of adopting a universal surveillance and contact precautions program was based on the difference between the benefits (i.e., cost-savings from averting MRSA infections) and intervention costs. For each simulation, the economic impact to the hospital for each screening strategy was calculated as:
(Number Infections Averted × MRSA Attributable Length of Stay × Cost of Lost Bed Day) – (Cost of Contact Precautions + Cost of Screening)
The optimal strategy was defined as the strategy with the best cost-benefit to the hospital; i.e. cost-neutral (costs = benefit) or cost-saving (cost<benefit).
Model Simulations
Each simulation sent 1,000 hospital admissions through the model 1,000 times for a total of 1 million trials. Our model results are expressed as outcomes per 10,000 hospital admissions and include: total number of colonized patients identified by the surveillance program, total number of patients placed in contact precautions, number of secondary infections averted by the intervention, and the cost-benefit (costs averted by preventing MRSA infections – intervention costs) of the intervention. Probabilistic sensitivity analyses (i.e., Monte Carlo simulations) were performed for each simulation, varying each parameter throughout their ranges (Table 1). The distributions varied in the Monte Carlo simulations account for variability in known parameters and were created based on the available data (e.g., variability across studies or ranges/confidence intervals from one source).
Sensitivity Analyses of Key Model Estimates
Additional one- and two-way sensitivity analysis varied key parameters in the model to determine their impact on the projected cost-benefit of each strategy. These parameters include number of MRSA infections averted per isolated MRSA carrier, MRSA attributable length of say, and MRSA prevalence among admitted patients. Our baseline conditions assumed 0.005 infections averted per isolated MRSA carrier, a 7.3% nares colonization prevalence, and a 6-day attributable length of stay.
We estimated the number of MRSA infections averted per MRSA carrier placed in contact precautions as 0.005, based on currently available estimates from the literature.(8-11, 16) However, we recognize that the literature on MRSA contact precautions efficacy is mixed and based largely on select populations or higher prevalence settings.(22) We therefore used data from a randomized trial of hospital-wide, universal screening and contact precautions combined with chlorhexidine bathing as an extreme estimate for the efficacy of universal active screening followed by contact precautions, i.e. 0.05 MRSA cases per patient placed in contact precautions and decolonized.(23) Using this data, we varied contact precaution efficacy in reducing MRSA infection from 0.005 (base-case estimate), to 0.015 (optimistic estimate), to 0.03 (extreme estimate) MRSA cases averted per MRSA carrier placed in contact precautions.
We estimated the additional hospital length of stay attributed to MRSA was 6 additional days. However, as the attributable length of stay due to an MRSA depends on the type of acquired infection (e.g., skin and soft tissue infection vs. bacteremia vs. endocarditis), we ranged this from 2 to 16 additional hospital days (based on estimates of attributable length of stay for different types of infection available from the literature(24-28)).
We designed our base-case scenario with MRSA nares colonization prevalence of 7.3% and the total body MRSA colonization prevalence was 9.5% based on a recent systematic literature review on MRSA colonization.(18) Based on this review, we varied total body MRSA colonization to range from 9.5% to 30% and nares colonization ranging from 7.3% to 22% to determine if hospitals with higher burden of MRSA may benefit from universal active surveillance.
Results
Table 2 shows results for our baseline conditions for both chromagar and PCR methods. A program of nares screening for all patients admitted to a hospital using chromogenic agar identified 545 MRSA colonized patients/10,000 admissions (95% credibility range, 420-683 colonized patients/10,000 admissions) and averted 3 cases of invasive MRSA disease (95% credibility range 2-3.4), preventing 18 additional hospitalization days and saving $24,740 (95% credibility range, 18,920-30,960) (Table 2). Nares surveillance program improperly placed 79 patients in contact precautions. The overall economic impact to the hospital was a $237,494 loss (95% credibility range, $199,867 to $283,610) for 10,000 admissions (Table 2).
Table 2.
Chromogenic Agar Screening | PCR Screening | |||||
---|---|---|---|---|---|---|
Total Number of MRSA Colonized Patients | 954 (770 - 1,106) | 955 (780 - 1,150) | ||||
Body Site(s) Tested | Nares | Nares/Oropharynx | Multi Site Swab | Nares | Nares/Oropharynx | Multi Site Swab |
Patients Correctly Identified as Colonized | 545 (420-684) | 683 (540-863) | 786 (630-943) | 577 (440 - 720) | 723 (560 - 890) | 832 (670 - 1,010) |
Patients Placed in Contact Precautions | 625 (490-766) | 761 (600-950) | 864 (700-1,020) | 921 (740 - 1,110) | 1,060 (870 - 1,260) | 1,164 (980 - 1,370) |
Intervention Cost | $252,234 (209,295 - 299,142) | $304,977 (254,186 - 359,529) | $347,253 (293,332- 397,025) | $573,179 (514,179 - 641,748) | $626,601 (565,180 - 701,205) | $669,420 (608,348 - 732,835) |
Swabs | $10,000 | $20,000 | $30,000 | $10,000 | $20,000 | $30,000 |
Testing* | $46,879 (46,747-47,062) | $46,879 (64,747-64,062) | $46,879 (46,747-47,062) | $275,451 (275,201 - 285,451) | $275,451 (275,201 - 285,451) | $275,451 (275,201 - 285,451) |
Gloves | $11,618 (9,074-14,308) | $14,163 (11,185-17,533) | $16,087 (12,915-19,224) | $17,117 (13,680 - 20,625) | $19,716 (16,035 - 23,655) | $21,657 (18,014 - 25,502) |
Gowns | $118,046 (92,456-145,878) | $143,880 (113,479-176,394) | $163,414 (131,081-192,441) | $173,878 (138,931 - 209,645) | $209,645 (162,818 - 239,539) | $219,971 (183,116 - 257,964) |
Nursing Time | $65,691 (51,017-81,893) | $80,054 (62,774-98,540) | $90,873 (72,574-108,297) | $96,733 (76,587 - 116,027) | $111,416 (90,620 - 132,810) | $122,341 (102,017 - 143,661) |
MRSA Infections Avoided | 2.7 (2.1-3.4) | 3.4 (2.7-4.3) | 3.9 (3.2-4.7) | 2.9 (2.2 - 3.8) | 3.6 (2.8 - 4.6) | 4.2 (3.4 - 5.1) |
Cost Averted | $24,740 (18,930-30,963) | $30,904 (24,162-38,740) | $35,552 (28,137-42,757) | $26,596 (20,184 - 33,422) | $32,914 (25,779 - 40,879) | $37,630 (30,311 - 45,562) |
Cost-Benefit^ | −$227,494 (189,867 - 273,610) | −$274,072 (233,858 - 322,300) | −$311,701 (279,386 - 360,541) | −$546,583 (493,450 - −599,579) | −$593,937 (−536,988 - −651,979) | −$631,790 (−577,609 - −689,002) |
Gain vs. Loss | Loss | Loss | Loss | Loss | Loss | Loss |
Includes test materials and technician labor to process sample; Multiple samples were tested by splitting Chromogenic Agar plates and combining samples for PCR runs
Negative values indicate a economic loss to hospital given a $0 break-even threshold
Table 3 shows results assuming an extreme estimate of contact precaution efficacy (0.03 infections averted per carrier isolated). Results were similar to less efficacious scenarios, resulting in economic losses over $104,000. Our results can be used to estimate the associated costs and cost-benefit for a hospital with any number of admission. For example, a hospital with 2,500 admission implementing nares only screening (under the baseline conditions) would isolate 156 patients (625/4) resulting in losses of $56,874 ($227,494/4).
Table 3.
Chromogenic Agar Screening | PCR Screening | |||||
---|---|---|---|---|---|---|
Total number of MRSA colonized patients | 953 (780 - 1,140) | 946 (770 - 1,140) | ||||
Body Site(s) Tested | Nares | Nares/Oropharynx | Multi Site Swab | Nares | Nares/Oropharynx | Multi Site Swab |
Patients Correctly Identified as Colonized | 542 (410 - 680) | 680 (530 - 820) | 786 (630 - 950) | 575 (430 - 730) | 720 (560 - 890) | 824 (660 - 1,000) |
Patients Placed in Contact Precautions | 622 (470 - 760) | 758 (590 - 920) | 863 (690 - 1,040) | 915 (740 - 1,110) | 1,054 (870 - 1,250) | 1,155 (960 - 1,370) |
Intervention Cost | $251,555 (205,554 - 299,868) | $304,142 (250,214 - 353,933) | $346,774 (292,645 - 402,702) | $571,564 (515,439 - 632,775) | $625,012 (566,246 - 690,416) | $666,295 (601,959 - 733,215) |
Swabs | $10,000 | $20,000 | $30,000 | $10,000 | $20,000 | $30,000 |
Testing* | $46,876 (46,740 - 47,006) | $46,876 (46,740 - 47,006) | $46,876 (46,740 - 47,006) | $275,455 (275,165 - 275,715) | $275,455 (275,165 - 275,715) | $275,455 (275,165 - 275,715) |
Gloves | $11,583 (8,841 - 14,452) | $14,119 (10,941 - 17,159) | $16,061 (12,867 - 19,366) | $17,025 (13,750 - 20,763) | $19,610 (16,127 - 23,420) | $21,475 (17,658 - 25,422) |
Gowns | $117,659 (90,020 - 146,384) | $143,386 (110,867 - 173,361) | $163,125 (130,381 - 196,500) | $172,913 (139,405 - 209,892) | $199,178 (164,097 - 238,282) | $218,074 (179,641 - 258,298) |
Nursing Time | $65,437 (49,952 - 82,027) | $79,762 (61,666 - 96,407) | $90,713 (72,656 - 109,830) | $96,171 (77,118 - 116,404) | $110,768 (90,856 - 133,000) | $121,293 (99,495 - 143,780) |
MRSA Infections Avoided | 16 (12 - 20) | 20 (16 - 25) | 24 (19 - 29) | 18 (13 - 22) | 22 (17 - 27) | 25 (20 - 30) |
Cost Averted | $147,777 (110,142 - 186,002) | $143,386 (110,867 - 173,361) | $163,125 (130,381 - 196,830) | $158,993 (121,130 - 199,233) | $196,630 (152,043 - 243,162) | $223,685 (176,000 - 272,216) |
Cost-Benefit^ | −$103,778 (−$83,491 - −$126,252) | −$119,474 (−$97,905 - −$143,518) | −$133,349 (−$110,865 - −$157,160) | −$412,571 (−$376,833 - −$452,963) | −$428,381 (−$392,508 - −$469,522) | −$442,609 (−$405,763 - −$481,495) |
Gain vs. Loss | Loss | Loss | Loss | Loss | Loss | Loss |
Includes test materials and technician labor to process sample; Multiple samples were tested by splitting Chromogenic Agar plates and combining samples for PCR runs
Negative values indicate a economic loss to hospital given a $0 break-even threshold
Multi-site testing for MRSA
Under the baseline conditions, both the nares/oropharynx and three-site surveillance improved the number of correctly identified carriers and improved the number of infections avoided. The multi-site swabbing approaches resulted in modest increases in prevention of infection but resulted in more substantial economic losses to the hospital (Tables 2 and 3). Multi-site screening was cost minimizing with relatively high estimates of attributable length of stay for MRSA infection (10 days) and optimistic estimates of contact precaution efficacy (0.03 infections per MRSA carrier isolated). Nares alone or nares/oropharynx screening were never cost-minimizing when MRSA colonization prevalence was ≤30% (Figure 2).
PCR versus chromatogenic agar
Under the baseline conditions, PCR-based surveillance improved the number of correctly identified carriers and improved the number of infections avoided (Tables 2 and 3). PCR-based nares surveillance resulted in modest improvements in infection prevention, but resulted in an economic loss of $546,583 (95% credibility range, $493,459 to $599,579) for 10,000 admissions (Table 2). PCR screening was never cost-minimizing under any of the conditions tested.
Sensitivity Analyses
Figure 2 displays two-way sensitivity analyses for the MRSA attributable length of stay (2-16 days) and number of infections averted (0.005-0.03 per carrier placed in contact precautions) by MRSA admission prevalence (9.5%-30%). The graphs display the screening strategy that results in the best cost-benefit to the hospital (i.e., optimal strategy). Under most model assumptions, no screening resulted in the best cost-benefit to the hospital. Under baseline conditions, the only time that universal screening was cost-saving occurred with extreme estimates for contact precaution efficacy (0.03 cases averted per patient placed in contact precautions) and when MRSA attributable length of stay was >10. With MRSA admission prevalence of 30%, universal screening became cost-saving was with extreme contact precaution efficacy (0.03 cases averted per MRSA carrier placed in contact precautions) and when MRSA attributable length of stay was >8 days.
Discussion
We found that even though MRSA screening and contact precaution programs may prevent MRSA infections, these programs have substantial cost (≥$103,000) per 10,000 admissions. These results demonstrate that there may be substantial economic cost to the adoption of an expanded MRSA surveillance and contact precautions program to include hospital-wide, universal surveillance. Our findings were robust under a wide range of MRSA prevalence, contract precaution efficacy, and attributable length of stay values. Universal active screening followed by contact precautions was never cost-saving even with the number of sites and type of screening was modified. Even using extreme estimates for contact precaution efficacy (0.03 infections averted per carrier isolated) and prolonged attributable length of stay for acquired MRSA infections (up to 16 days), universal surveillance would likely incur significant costs for hospitals, even if only nares surveillance was adopted. Our results are for general benchmarking and hospitals of any size can estimate the impact to their own facility based on their own local epidemiology. Thus our results can help inform various decision makers (i.e., infection control specialists, hospital administrators, and even insurance companies) about the cost-benefits and how much they can invest in MRSA prevention and control.
Our results are important in the context of understanding the economic barriers to dissemination of potentially effective infection control practices across U.S. hospitals. Lee et al demonstrated that universal MRSA surveillance is cost effective for a wide range of MRSA prevalence and reproductive rates.(16) However, the investigation by Lee(16) and a similar investigation by Hubben and colleagues(17) analyzed the cost-effectiveness of universal surveillance from the societal or third-party perspective. While universal MRSA screening may be beneficial to society (as previously described(16, 17)), our analysis demonstrates that the expanded screening program is economically burdensome for a hospital and that the benefits of screening may only be reaped by later or external beneficiaries (e.g., other hospitals or non-hospital-based care entities). To achieve the population benefits of improved patient quality and improved patient safety for the strategy of universal surveillance and contact precautions, reimbursement to the hospital and financial incentives may need to be significantly changed in order to overcome the economic barriers to dissemination.
We note that the results of our analysis were sensitive to the impact of MRSA invasive disease. Therefore, while a program of hospital-wide, universal surveillance may not be economically feasible, there are likely sub-populations for which screening and contact precautions may result in significant savings for the hospital. For example, the impact of MRSA infection on burn patients or patients following cardiothoracic surgery is substantial and may surpass the range of attributable length of stay analyzed in our investigation. Within these specific high-risk populations, invasive MRSA infection can have disastrous and costly implications. Similarly, the impact of invasive MRSA disease in intensive care units can be substantial. Therefore, universal screening and contact precautions within high-risk patients and intensive care units may be less economically burdensome for a hospital but, further analysis is required before specific suggestions can be made about specific sub-populations.
Another key observation from our study is that our results were sensitive to the efficacy of the MRSA intervention. Although screening and contact precautions may not result in sufficient benefit to overcome the costs of the intervention, more efficacious strategies that result in greater projected benefits may be cost-neutral or even cost-saving. For example, recent investigations of chlorhexidine and mupirocin based MRSA decolonization have shown efficacy(29, 30) and may not face such a large economic barrier to implementation. One of the benefits of our methodology is that our model estimates efficacy of the intervention based on the number of infections prevented by application of the intervention. The number of infection prevented per intervention is mathematically related to the number needed to treat and can be calculated for other interventions, such as MRSA decolonization. The cost and benefits of universal screening and contact precautions should be weighed against other infection control strategies, such as decolonization, and other quality improvement initiatives. More work is needed to understand the relative benefits and costs of infection prevention strategies with respect to one another in reducing MRSA or other infections.
There are limitations to our analysis. Importantly, our analysis was limited by the data we used in our model to establish MRSA contact precaution efficacy in terms of the number of infections prevented. Our model did not specifically analyze pre-emptive isolation strategies. However, our results remained robust, even when using extreme estimates for contact precaution efficacy that far exceed estimates for potential benefits of pre-emptive isolation.(8) Our model did not model potential unintended costs of contact precautions, including falls or reduced patient contact.(31) Including these impacts would have made screening more economically burdensome. That said, there conflicting estimates for the unintended impact of contact precautions,(9) so lack of modeling this consequence may be appropriate. We did not include physician time to don/doff contact precautions (although there visits are counted) as we assumed independent medical staff reimbursed by physician billing. Inclusion of physician time to don/doff contact precautions may be appropriate for some systems, i.e. employed hospitalists would see larger Lastly, our model did not attempt to measure the cumulative impact of universal surveillance and contact precautions. It is likely that as population benefit increases (MRSA declines), the cost-benefit of the program would continue to degrade.
Overall, our results estimate the economic burden that expanded MRSA surveillance and contact precautions will create for a hospital. If health policy experts, legislators, or patient safety advocates hope to implement universal MRSA surveillance on a large scale, they must be aware of the economic barriers to implementation and the potential economic impact from these programs. Without significant improvement in financial reimbursement to hospitals, it seems unlikely that hospital administrators can responsibly adopt expanded MRSA surveillance for the entire hospital population. Finally, many costly interventions may improve patient outcomes, but given money is a limited resource, policy makers should consider our findings in light of other hospital-based interventions to prevent patient harm.
Supplementary Material
Acknowledgments
JM received support from the NIH/NCRR/NCATS UCLA CTSI Grant Number KL2TR000122. JM, SB, BL, SH, and LM received support from the AHRQ Grant Number RC4AI092327. SH has disclosed that she is conducting a clinical trial for which participating hospitals receive contributed product from Sage Products and Molnlycke. No other authors have any conflicts of interest to disclose in relation to this manuscript.
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