In a pandemic, many current national stockpiles of PPE and antiviral medications are likely inadequate.
For pandemic influenza planning, realistic estimates of personal protective equipment (PPE) and antiviral medication required for hospital healthcare workers (HCWs) are vital. In this simulation study, a patient with suspected avian or pandemic influenza (API) sought treatment at 9 Australian hospital emergency departments where patient–staff interactions during the first 6 hours of hospitalization were observed. Based on World Health Organization definitions and guidelines, the mean number of “close contacts” of the API patient was 12.3 (range 6–17; 85% HCWs); mean “exposures” were 19.3 (range 15–26). Overall, 20–25 PPE sets were required per patient, with variable HCW compliance for wearing these items (93% N95 masks, 77% gowns, 83% gloves, and 73% eye protection). Up to 41% of HCW close contacts would have qualified for postexposure antiviral prophylaxis. These data indicate that many current national stockpiles of PPE and antiviral medication are likely inadequate for a pandemic.
Although a new influenza pandemic may appear inevitable, critical parameters of transmissibility and attack rate are uncertain. Estimates based on extrapolations from the 3 influenza pandemics of the 20th century suggest that healthcare facilities in the United States alone may be required to cope with 314,000–734,000 additional hospitalizations and 18–42 million outpatient visits (
Key strategies to control the speed and extent of viral spread within healthcare settings have been advocated by national government guidelines (
In a prospective, multicenter, simulation exercise, we assessed the initial 6 hours of management of a patient (actor) who appeared for treatment at a hospital emergency department with a history consistent with API. Tertiary-level university teaching hospitals across eastern Australia were invited to participate. The inclusion criteria were willingness to join the simulation and possession of a formal local infection control protocol for the management of API that followed Australian (
For each of the participating hospitals, the 6-hour simulation was conducted midweek, beginning between 8:30 and 9:30
Each site had at least 3 trained infection control observers available who were familiar with using a modified version of a validated hand hygiene assessment data input tool (
Study algorithm. Observer 1 follows the patient through all clinical areas, including transit between areas. Observer 2 monitors transport of clinical specimen to the pathology department and subsequent specimen processing. Observer 3 monitors cleaning of clinical areas after use.
Detailed observations were collated on infection control practice, clinical resources used, sequence of donning and removing PPE, time spent by the patient in each clinical area, and close contacts and exposures generated. The observation period could be stopped at any time if an actual patient’s care was judged to be compromised by continuation of the simulation.
At the time of collecting blood, respiratory specimens, or chest radiographs, surrogate specimens (venipuncture tube containing water, water-moistened swabs, and archival chest x-rays, respectively) were substituted by the accompanying study observer. Surrogate blood and respiratory specimens were followed to the laboratory, where infection control practices were observed until specimens were sent to the reference laboratory for molecular testing.
A HCW was defined as any person working within the healthcare facility. We used the WHO definition of a “close contact” as any person (including non-HCWs) coming within 1 m of an API patient within or outside of an isolation room or area (
| HCW activity | Recommended PPE set |
|---|---|
| Close contact (<1 m) with potential API-infected patient within or outside of the isolation room or area | Gloves, gown, N95 mask (or equivalent particulate respirator), eye protection |
| Cleaning | Gloves, either gown or apron |
| Patient transport within healthcare facilities | Gown, gloves |
| Specimen transport and processing | Not defined except to use “safe handling practices”; interpreted as use of gloves (minimum) and gown if opening specimen bag. |
*WHO, World Health Organization; HCW, healthcare worker; PPE, personal protective equipment; API, avian or pandemic influenza.
†Derived from (
For the purpose of identifying HCW close contacts who would be offered postexposure antiviral prophylaxis, HCW close contacts were stratified into either moderate- or low-risk groups derived from WHO criteria (
The study outcome measures were the following: 1) number of close contacts associated with the API patient during the initial 6 hours of patient management, including how many of these were HCW close contacts; 2) the total number of exposures experienced by close contacts; 3) overall quantity and type of PPE items (gowns, gloves, N95 masks, eyewear) actually used during the simulation by HCW close contacts and ancillary HCWs; 4) overall “opportunities for PPE item use” for HCW close contacts and ancillary HCWs (i.e., actual use plus missed opportunities for appropriate PPE use); and 5) stratification of HCW close contacts into medium- or low-risk groups for the purpose of recommending antiviral postexposure prophylaxis.
Nine tertiary-level university teaching hospitals in 3 states of eastern Australia participated in the study (
| Characteristic | Hospital | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | H | I | |
| State | VIC | VIC | VIC | VIC | VIC | TAS | VIC | VIC | NSW |
| Urban/regional | Urban | Urban | Urban | Urban | Regional | Urban | Urban | Urban | Urban |
| Inpatient beds, no. | 840 | 320 | 750 | 450 | 400 | 490 | 400 | 400 | 880 |
| Annual admissions | 67,700 | 40,000 | 79,500 | 47,200 | 61,200 | 52,300 | 45,300 | 93,100 | 71,600 |
| Total simulation time, h | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 2.5 | 2.5 |
| Triage time, h | 0.3 | 0.3 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.2 | 0.1 |
| ED time, h† | 2 | 2.9 | 3 | 1.9 | 2.2 | 1.5 | 2.4 | 2.3‡ | 2.4‡ |
| Ward time, h | 3.7 | 2.8 | 3 | 3.9 | 3.7 | 4.4 | 3.5 | – | – |
*VIC, Victoria; TAS, Tasmania; NSW, New South Wales; ED, emergency department. †Includes time spent in ED radiology unit. ‡Simulation of avian or pandemic influenza ended prematurely because beds were needed.
The number of close contacts and total exposures to the potential API patient are summarized in
| Characteristic | No. CCs (no. exposures) per hospital | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | H | I | Mean | |
| Total | 17 (26) | 15 (20) | 6 (15) | 11 (20) | 14 (17) | 12 (20) | 11 (17) | 10 (11)† | 6 (8)† | 12.3 (19.3)‡ |
| By clinical area | ||||||||||
| Triage | 8 (8) | 4 (4) | 1 (1) | 2 (2) | 5 (5) | 1 (1) | 3 (3) | 7 (7) | 3 (3) | 3.8 (3.8) |
| ED | 5 (11) | 7 (11) | 3 (9) | 7 (10) | 6 (9) | 7 (10) | 6 (9) | 3 (4)† | 3 (5)† | 5.9 (9.9)‡ |
| Ward | 4 (7) | 4 (5) | 2 (5) | 2 (8) | 3 (3) | 4 (9) | 2 (5) | – | – | 3.0
(6.0) |
| By study period, h | ||||||||||
| 0–1 | 10 (12) | 8 (8) | 3 (4) | 6 (8) | 7 (7) | 8 (8) | 5 (5) | 9 (10) | 5 (6) | 6.8 (7.6) |
| 1–2 | 2 (3) | 0 (1) | 1 (2) | 2 (2) | 3 (5) | 2 (6) | 3 (3) | 0 (0) | 1 (2) | 1.6 (2.7) |
| 2–3 | 2 (4) | 0 (2) | 0 (4) | 3 (5) | 2 (3) | 1 (3) | 0 (2) | 1 (1)† | 0 (0)† | 1.1 (3.3)‡ |
| 3–4 | 3 (5) | 5 (6) | 2 (3) | 0 (2) | 0 (0) | 1 (1) | 2 (3) | – | – | 1.9 (2.9) |
| 4–5 | 0 (1) | 2 (2) | 0 (1) | 0 (1) | 1 (1) | 0 (2) | 1 (2) | – | – | 0.6 (1.4) |
| 5–6 | 0 (0) | 0 (1) | 0 (1) | 0 (2) | 1 (1) | 0 (0) | 0 (2) | – | – | 0.1
(1.0) |
| By HCW status | ||||||||||
| Non-HCW | 3 (3) | 5 (5) | 0 (0) | 0 (0) | 3 (3) | 0 (0) | 2 (2) | 4 (4)† | 0 (0)† | 1.9 (1.9)‡ |
| HCW | 14 (23) | 10 (15) | 6 (15) | 11 (20) | 11 (14) | 12 (20) | 9 (15) | 6 (7)† | 6 (8)† | 10.4 (17.4)‡ |
| No. HCW CCs (%) who wore complete PPE set during each exposure§ | 2 | 3 | 5 | 9 | 8 | 8 | 8 | 2† | 3† | 6.1
(59)‡ |
| No. HCW CCs (%) who wore N95 masks during each exposure§ | 12 | 7 | 6 | 10 | 11 | 12 | 9 | 5† | 3† | 9.6 (92)‡ |
*API, avian (H5N1) or pandemic influenza; ED, emergency department; HCW, healthcare worker; PPE, personal protective equipment.
†Incomplete data as simulation terminated after 2.5 h.
‡Excludes data from sites H and I.
§World Health Organization recommendations (
All 9 sites processed the respiratory specimen, with an average of 2.9 HCWs (median 3, range 2–6) handling or transporting the specimen, predominantly in the pathology department. Two sites used a vacuum transport system to deliver specimens from the emergency department to the laboratory, contrary to WHO recommendations (
Environmental decontamination of clinical areas after departure of the suspected API patient was performed haphazardly at all sites. The triage area was appropriately cleaned in none of the 9 sites, whereas the emergency department and ward areas at sites that completed the full simulation were cleaned appropriately in 6 of 7, and 4 of 7 instances, respectively; 1–2 cleaners were required per clinical area to appropriately perform this task.
Large quantities of N95 masks, disposable gowns, gloves, and eye protection were used and indicated during the study period (
| PPE item type | Actual PPE use (total opportunities for PPE item use) by hospital† | Compliance,¶ % | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | H‡ | I‡ | Mean§ | ||
| N95 masks | 20 (22) | 11 (16) | 18 (18) | 20 (22) | 16 (17) | 23 (23) | 18 (18) | 6 (8) | 8 (11) | 18 (19.4) | 93 |
| Gowns | 18 (29) | 11 (18) | 17 (21) | 19 (24) | 15 (17) | 20 (25) | 20 (21) | 6 (11) | 9 (12) | 17.1 (22.1) | 77 |
| Gloves | 27 (35) | 12 (20) | 18 (21) | 21 (27) | 19 (21) | 23 (25) | 26 (27) | 8 (11) | 10 (13) | 20.9 (25.1) | 83 |
| Eye protection | 4 (20) | 4 (13) | 14 (16) | 18 (21) | 14 (16) | 21 (22) | 17 (17) | 3 (7) | 4 (7) | 13.1 (17.9) | 73 |
| Shoe protection# | – | 4 | 2 | – | 9 | – | – | – | 1 | 2.1 | |
| Hats# | – | 1 | 13 | – | 14 | – | – | – | 5 | 4 | |
*PPE, personal protective equipment; HCWs, healthcare workers
†See
HCW close contacts were stratified into either moderate- or low-risk groups, depending on whether an appropriate PPE set was worn during every exposure. The proportions of HCW close contacts who appropriately wore a PPE set, rather than an N95 mask alone, for every exposure were 59% and 92%, respectively. Thus, depending on how rigorously WHO antiviral medication guidelines (
To our knowledge, this is the first multicenter study to estimate the quantity of PPE and antiviral therapy that may be required to manage patients with suspected API admitted to hospitals. During the initial 6 hours of hospital assessment, the number of close contacts of a single suspected API patient was high (mean 12.3), with a mean number of exposures of 19.3. Not surprisingly, most (85%) close contacts were HCWs, and PPE use was at its most intense in the first hour of emergency department assessment. Our data suggest that in the initial 6 hours alone, HCWs managing suspected API case-patients would require ≈20–25 PPE sets (mean quantities: 19.4 N95 masks, 22.1 gowns, and 25.1 pairs of gloves). Although a high proportion of HCW close contacts (mean 92%) wore an N95 mask appropriately for all exposures, appropriate concomitant use of other PPE items was less (mean 59% of exposures). Even with the widespread availability of PPE, this observed inadequate utilization rate meant that from 8% to 41% of HCW close contacts were likely to require postexposure antiviral prophylaxis if current WHO recommendations were followed (
Notably, a substantial minority of close contacts (15%; ≈2 per API patient) were non-HCWs (e.g., hospital patients or visitors), generated primarily in the triage area. Although the duration of unprotected exposure was often short (<5 minutes) for these persons, they represent a potential risk for subsequent community and hospital spread of API. This highlights the importance, in triage and reception areas particularly, of using appropriate infection control measures and signage to assist in cohorting of potential API patients and minimizing exposure of unprotected bystanders.
The critical importance of effective PPE in hospital infection control was demonstrated during the outbreak of SARS in 2003 (
Many countries are compiling extensive stockpiles of PPE and antiviral medications for use if a new pandemic occurs. Planning for sufficient numbers of resource items is complex and dependent on estimations of pandemic-related additional emergency presentations, hospitalizations, general practice, and outpatient visits. In Australia, official estimates of additional hospitalizations range from 57,900 to 148,000 (
An important consideration when extrapolating our data to other healthcare systems is that recommendations regarding the optimal form of respiratory protection vary between countries. The WHO interim guidelines for management of human cases of avian influenza (AI) state, “HCWs working with AI-infected patients should select the highest level of respiratory protection available, preferably a particulate respirator… designed to protect the wearer from respiratory aerosols expelled by others” (
This study has several limitations. First, the duration of the study was short (6 hours), much shorter than the likely in-hospital stay of days for a patient with severe influenza. Thus, total PPE and antiviral agent usage per admission is likely to be substantially higher. Second, the study was conducted at a less busy time of day for emergency departments and therefore may not reflect the greater number of persons who would likely be exposed in the triage and emergency department areas during busier periods. Third, the patient was not clinically unwell or hypoxic; thus, relatively few HCWs were required to assess, manage, or review the API patient’s condition. Fourth, we observed the management of the index API case-patient alone, although we acknowledge that actual patients are likely to come to the hospital with other household members (high-risk close contacts). However, extending observation to include management of asymptomatic but potentially infectious accompanying persons in a standardized manner would have substantially increased the complexity of the exercise. Our findings, therefore, likely underestimate the true resources required and contacts exposed for the management of a genuine API patient. Finally, the presence of observers and the preceding education sessions may have artificially increased compliance with PPE use, although in the event of a true pandemic one might assume that HCW compliance rates would be high as they aim to minimize their personal risk. Also, this study was designed to quantify the use of PPE in an environment with raised awareness of infection control practice, mimicking that which might occur during a pandemic, and thus provide relevant data for health resource planners.
This study suggests that managing a single API patient is resource intensive and exposes a high number of persons to a potentially severe infection. These data represent the likely minimum clinical resources required during an API patient’s initial hospital assessment using current WHO-derived infection control guidelines. Given our findings, if a global influenza pandemic occurs with attack rates even on the lower end of projected estimates, demand for PPE and antiviral medication in healthcare facilities will likely outstrip current supply in industrialized countries, let alone the supply in resource-poor settings. Further studies are needed to assess resource usage in other healthcare settings such as intensive care units, fever clinics, general practice, and the community.
This research was presented in part at the 47th Annual Interscience Conference on Antimicrobial Agents and Chemotherapy, Chicago, Illinois, USA, September 17-20, 2007.
We thank the Infection Control, Emergency, Pathology, and Radiology Departments, ward staff and “patient” volunteers of the following hospitals for their kind assistance in this study: Austin Health, Box Hill Hospital, Barwon Health, Monash Medical Centre, Royal Melbourne Hospital, St. Vincent’s Hospital, Western Hospital, Royal Hobart Hospital, and Westmead Hospital.
The study was funded in part by a grant from the Department of Human Services, Victoria, Australia, which played no role in the data analysis of this study.
Dr Swaminathan is infectious diseases registrar at Austin Health, Melbourne, Australia. Among his main clinical interests are tropical infectious diseases and public health policy development.