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PLOS One logoLink to PLOS One
. 2021 Aug 11;16(8):e0255099. doi: 10.1371/journal.pone.0255099

Paramedic interactions with the packaging of medications and medical supplies: Poor package design has the potential to impact patient outcomes

Jiyon Lee 1,#, Rebecca E Cash 2,3,¤a,, Remle P Crowe 2,3,¤b,, Hyokyoung G Hong 4,, Ashish R Panchal 2,3,, Kami Silk 5, Marvin Helmker 6, Laura Bix 1,*,#
Editor: Dylan A Mordaunt7
PMCID: PMC8357099  PMID: 34379626

Abstract

Background

Settings where Emergency Medical Services (EMS) are provided to stabilize patients and transport them to locations better equipped to provide comprehensive care, “prehospital settings,” are not frequently considered when designing packaged products. Packaging design is an understudied area, potentially impacting both healthcare provider behavior and patient outcomes. Our objectives were to: 1) describe difficulties associated with packaging in prehospital settings 2) investigate the coping strategies used by paramedics when difficulties occurred, and 3) assess the potential impacts these difficulties had on patient care.

Methods

An online, cross-sectional survey was distributed via email using the National EMS Certification database maintained by the National Registry of Emergency Medical Technicians (NREMT) to a random sample of nationally-certified paramedics. Eligible respondents were aged 18 and older, employed as paramedics and had administered care in a prehospital setting within the previous 12 months. Survey items explored difficulties experienced and coping strategies used when difficulty was encountered identifying or opening medications and/or medical supplies. Descriptive statistics and logistic regression were calculated to analyse responses for trends.

Results

Of the 12,000 emails sent, 1,912 participants responded (response rate = 16%). After removing respondents who had not administered care within the past 12 months and partial surveys, data from 1,702 respondents were analysed. Nearly 20% of all respondents reported that they had experienced difficulties identifying (21.1%) or opening (20.5%) medications and identifying (17.0%) or opening (23.4%) medical supplies within the past year. Between 1.2% (identifying a medication) and 3.0% (opening supplies) of those included in the analysis indicated that reported difficulties had negatively impacted patient care. Common coping strategies reported to deal with difficulty opening included partner assistance, tool use (scissors, pens, and knives), and the use of teeth, all potential pathways for the transmission of microbes, conceivably further impacting outcomes.

Conclusion

More thoughtfully designed packaging for prehospital settings has the potential to benefit both EMS providers and the patients that they care for.

Background

Engineering safety into the overall health care system to reduce errors and improve patient outcomes is an important paradigm that is being actively embraced by the designers of healthcare products and systems, caregivers and policy makers [1]. But research investigating the relationship of the design of packaged products and their impact on the behaviour of healthcare providers and patient care has not been widely conducted. This is likely because, historically, the regulators of medications and medical supplies have required the submission of objective evidence that manufacturing processes produce packaging that preserves, enables, and maintains the product’s safety and efficacy throughout the expected shelf life. Although preserving, protecting and manufacturing products used for patient care is critically important, what has not been assessed is how the package design impacts the ability of the healthcare provider (or patient) to accomplish critical tasks (e.g. properly identifying, aseptically opening and transferring, and properly dosing and administering). Only recently have a host of standards and regulatory documents started to proliferate which require the objective evaluation of how packaging performs in the hands of users (both healthcare providers and patients) [26] (Table 1).

Table 1. Objective evaluation and regulatory documents by standards.

Standards and Regulatory Bodies Contents related to objective evaluation of how packaging performs in the hands of users. 
ISO 11607 Parts I [3] 6.1.1 The packaging system shall be designed to minimize the safety risks and health risks to the user and patient under the intended specified conditions of use.
6.1.8 If the packaging system to be opened at the point of use consists of more than one packaging layer, the sterile barrier system(s) shall have an indication to be recognized as such.
7. Usability evaluation for aseptic presentation
The usability evaluation for aseptic presentation shall include an assessment of
a) the ability to identify where to begin opening, 
ISO 11156 General Requirements for Accessibility [7] 1 Scope
….. a framework for design and evaluation of packages so that more people, including persons from different cultural and linguistic backgrounds, older persons and persons whose sensory, physical, and cognitive functions have been weakened or have allergies, can appropriately identify, handle and use the contents. 
ISO 17480 Ease of Opening [8] 1. Scope
….. specifies requirements and recommendations for the accessible design for packaging with a focus on ease of opening…. the design aspects addressing openability including opening location, opening methods, as well as evaluation techniques, both instrumented and user-based. 
ISO/ DIS 19809 Information and Marking [9] 1. Scope
…specifies considerations and methods for designing and presenting information and marking to make consumer packages accessible to people with the widest range of capabilities by taking account of their sensory and cognitive abilities.
4.1.1
Designing of information and marking of packaging shall take into considerations on diverse users and on diverse context of use. 
ISO 17351 Braille on Packaging for medicinal Products [10] 4.1 Principles of Braille legibility compliance
The Braille text shall enable Braille readers to identify the medicinal product.
Compliance with the Braille cell dot height limits is evidence of compliance with the text legibility requirement 
ISO CD 22015 Packaging- Accessible Design Handling and Manipulation [11] 1 Scope: …… in designing consumer packages, independent of material, to increase accessibility with regard to handling and manipulation.
Handling and manipulation include human physical abilities like holding, lifting, carrying, pulling, pushing, sliding, grasping, twisting, tearing and any combination of those actions related to portability, opening, re-closing and taking out contents of packages as well as to storage and disposal.
6.3 User-based evaluation
User-based evaluation enables packaging designs assessments and allows an understanding to develop of user’s performance in handling and manipulation. User-based evaluation should be used in conjunction with other psychological methods, such as questionnaires and structured or unstructured interviews. The data generated by these user-based evaluations can provide insights for improved designs. 
Applying Human Factors and Usability Engineering to Medical Devices: Guidance for Industry and Food and Drug Administration Staff [12] 2. Scope …focusing specifically on the user interface, where the user interface includes all points of interaction between the product and the user(s) including elements such as displays, controls, packaging, product labels, instructions for use, etc. While following these processes can be beneficial for optimizing user interfaces in other respects (e.g., maximizing ease of use, efficiency, and user satisfaction), FDA is primarily concerned that devices are safe and effective for the intended users, uses, and use environments. The goal is to ensure that the device user interface has been designed such that use errors that occur during use of the device that could cause harm or degrade medical treatment are either eliminated or reduced to the extent possible.
U.S Food & Drug Administration-Code of Federal Regulations Title 21.820.30 [13] (c) Design input. … the design requirements relating to a device are appropriate and address the intended use of the device, including the needs of the user and patient…
(e) Design review. … formal documented reviews of the design results are planned and conducted at appropriate stages of the device’s design development. …. participants at each design review include representatives of all functions concerned with the design stage being reviewed and an individual(s) who does not have direct responsibility for the design stage being reviewed, as well as any specialists needed.
(f) Design verification. Design verification shall confirm that the design output meets the design input requirements
(g) Design validation. …Design validation shall be performed under defined operating conditions on initial production units, lots, or batches, or their equivalents. Design validation shall ensure that devices conform to defined user needs and intended uses and shall include testing of production units under actual or simulated use conditions. Design validation shall include software validation and risk analysis, where appropriate. 
Medical Device Regulations (MDR) [14] Data gathered by the manufacturer’s post-market surveillance system shall in particular be used: …..
for the identification of options to improve the usability, performance and safety of the device;
Section 11.4
Devices delivered in a sterile state shall be designed, manufactured and packaged in accordance with appropriate procedures,… … until that packaging is opened at the point of use. It shall be ensured that the integrity of that packaging is clearly evident to the final user. 
Sterile Barrier Association (Ref. 201509 rev.01) [15] 4. Open: the seals of the sterile barrier system should be peeled slowly and evenly such that
    a. the peeling is started on the specified side of the SBS
    b. the peeling direction is respected if specified
    g. an opening is created large enough to remove the product without touching unsterile areas. (It may be necessary to fold the flaps backwards to create sufficiently large openings) 

Even as standards and requirements for packaging change in an attempt to engineer safety into healthcare, little evidence exists describing the relationship of packaging design to provider behaviours, and ultimately, patient outcomes. This could be because the errors associated with packaging and labelling design are latent in nature, with the mistake occurring upstream from the presentation of the problem. Further, latent errors tend to be “systems related factors;” [16] that is, one factor among several that contribute to an event. Papers that review root-cause analysis of medical errors and adverse events suggest that similar packaging and labelling are fundamental reasons for medication errors [1619], though other potential problems related to poor packaging design (e.g. difficulty opening or transferring cleanly) have yet to be thoroughly investigated.

And it isn’t just packaging that hasn’t been thoroughly researched, understood, and optimized; the healthcare environment itself, undoubtedly, impacts how care givers interact with products to deliver patient care. Of particular interest to us was how packaging performs within the prehospital setting. Emergency Medical Services (EMS) are administered during prehospital care to stabilize patients and transport them to a location better equipped to provide comprehensive care. Despite the extreme conditions that may be present (e.g., poor lighting, extreme heat or cold, noise, chaos, emergency vehicle movement, interloping friends and family), they are infrequently (if ever) considered by product and package designers.

As evidence of this, we offer data collected in healthcare transport environments, specifically intrahospital transports of critically ill patients, where the rates of adverse events have been noted to be as high as 70% [2022]. Bergman et al. identified five broad categories of hazards contributing to transport-related adverse events and identified the most common to be errors associated with the category tools and technology, within this category a common problem was “products that were not designed in ways that consider the context/environment of care and support the needs [of heathcare providers] [23].”

Anecdotally, paramedics have been observed to employ flashlights to identify products, or use one hand, and scissors (or teeth) to open items required urgently. These coping strategies, used to deal with shortcomings of designs which don’t appropriately consider the myriad of contexts where paramedics deliver care, have the potential to play a role in patient outcomes. For example, tools and/or inappropriate opening techniques may serve as an indirect mechanism for the transfer of microbes [17,24], a source of healthcare associated infections (HAIs). Although precise sources of microbes affiliated with HAIs are difficult to identify, a surveillance study investigating prehospital infection rates suggests that patients treated by advanced life support (ALS) providers prior to being admitted to the hospital have greater rates of HAIs than those transported by other means [25]. Supporting the idea that the prehospital environment is a fertile place for systemic improvement is the work of Orellana et al [24]. Among the factors that their research team identified as significant risk factors associated with Methicillin-resistant Staphylococcus aureus (MRSA) detection on EMS personnel were infrequent hand hygiene after glove use and low frequency of hand washing. Researchers found a high prevalence of MRSA among Ohio EMS personnel, noting this was both an occupational hazard and a patient safety concern [24].

It is unclear whether conditions present in prehospital environments affect the use of packaged products in ways that provide a source of risk for patients. In light of this, we evaluate the notion that prehospital work creates unique challenges for paramedics as they use packaged products to deliver care. In doing so, our objectives were to:

  1. describe difficulties associated with packaging design in prehospital settings;

  2. investigate the coping strategies used by paramedics when difficulties occurred; and

  3. assess the potential impacts these difficulties had on patient care.

Methods

The study was conducted in accordance with methods approved by the Institutional Review Board at the American Institutes for Research (AIR (#EX00411)), the review board affiliated with the National Registry of Emergency Medical Technicians (NREMT). The transfer of de-identified data to MSU for analysis was determined to not meet the definition of human subjects as defined by the US Department of Health and Human Services) by the MSU Institutional Review Board Manager (application #x16-1412e).

Study design, population & setting

We conducted a cross-sectional survey of nationally certified paramedics included in the National EMS Certification database. Maintained by the National Registry of Emergency Medical Technicians (NREMT), the National EMS Certification database is the largest database of EMS professionals in the United States, with 406,939 EMS professionals entered as of 2018 [26]. Power calculations were performed to determine the number of respondents needed to make estimates with 95% confidence. The calculated sample size was inflated assuming a conservative 10% response rate, leading to a simple, random sample of 12,000 paramedics drawn from the aforementioned database. The survey was limited to paramedics because they can provide a higher level of patient care and, therefore, were more likely to interact with multiple packaging types in the course of care delivery.

Survey instrument and data collection

The questionnaire was developed as a collaborative process between researchers at Michigan State University (MSU) and the NREMT. A cognitive walk-through (See S1 File, “Cogntive walk-through protocol”) was conducted with six participants from the target population to ensure that survey items functioned as intended. Based on this testing, changes were made to enhance understanding by the target population (e.g., the term “medical devices” was changed to “medical supplies”).

The questionnaire (see S3 File “Study Questionnaire”) included items to characterize respondents (demographic questions and questions regarding their work history) as well as those which gathered information about their experiences with two categories of packaged products: medications and medical supplies. Within each product category, questions were organized to probe difficulties related to two critical tasks: identifying packaged products and opening packages. When respondents reported difficulty identifying or opening a packaged medication or medical supply, a cascading series of questions probed their experience to explore the reasons that they had encountered the difficulty (Objective 1), the way that they coped with the issue (Objective 2), and whether or not it had negatively impacted the patient (Objective 3).

Invitations to take part in the electronic questionnaire were sent to a random sample of 12,000 nationally certified paramedics with valid email addresses. Completion of the questionnaire had no bearing on the person’s EMS certification and no identifying information was requested. After the initial invitation, reminder emails were sent approximately one and two weeks later. Respondents who completed a questionnaire by December 1st of 2016, were put into a drawing, with 10 randomly selected to receive $100 Amazon gift cards.

Data analysis

To be included in the analysis, respondents had to be older than 18, be practicing as a paramedic, have provided medical care in a prehospital setting within the previous 12 months, and have completed the questionnaire in full.

Analyses were conducted using SPSS (IBM, Version 22). Descriptive analysis was performed on frequencies of respondent characteristics as well as their reported reasons for difficulties by critical task (identification and opening) for each of the products (medications and medical supplies). Descriptive variables related to participants were regrouped into meaningful categories to better understand the factors affecting difficulty. Specifically, race was dichotomized to white and all others; years of experience to 10 years or less, and more than 10 years of experience. Education level was categorized as non-college vs college; primary EMS role was categorized as patient care provider and all others (e.g., dispatcher, educator, etc.). Community size was regrouped into the three categories: small town (less than 25,000 residents), medium town (25,000–149,999 people) or city (more than 150,000 people).

We conducted multivariable logistic regression analysis to identify risk factors related to “difficulties associated with opening medication within the past year” and “difficulties associated with opening medical supplies the past year.” Univariable logistic regression was also performed for each independent variable to investigate the marginal relationship between each variable and the binary outcome (had/didn’t have difficulty by product category); univariable and multivariable logistic regression analysis were conducted separately for modelling the difficulty in opening medications and the difficulty in opening medical supplies using the variables selected with the previously described method. Odds ratios and 95% confidence intervals (95% CI) were calculated accordingly.

Results

Characteristics of study subjects

A total of 1,912 responses were received (response rate = 16%). Respondents were excluded because they had not provided care in the prehospital setting in the past 12 months (n = 193) or due to incomplete responses (n = 17). The majority of the survey respondents were male (79.3%), white (88.7%), had a more than 10 years’ experience with EMS (61.5%) and served the role of care provider (74.7%). Table 2 presents an overview of the results related to participant characterization for the 1,702 responses included for analysis.

Table 2. Characteristics of participants.

Characteristic
Age in years, mean (SD) 43.2 years (10.6)
(% of respondents reporting; denominator = 1,702); Frequency (%)
Sex
    Female 332 (19.5)
    Male 1350 (79.3)
    Missing 20 (1.2)
Race
    Non- Hispanic White 1,509 (88.7)
    Non-white 193 (11.3)
Years of experience in EMS
    10 years or less than 10 years 655 (38.5)
    More than 10 years 1,047 (61.5)
Level of education
    Non-College (Did not complete high school and High school graduate/GED) 87 (5.1)
    College (Some college, associate degree, Bachelor’s degree, Master’s degree and Doctoral Degree) 1,615 (94.9)
Primary role
    Patient care provider 1,272 (74.7)
    Others (educator, preceptor, dispatcher/call taker, administrator/manager, first-line supervisor and others) 430 (25.3)
Size of community
    Small town (less than 24,999 people) 506 (29.7)
    Medium town (25,000–149,999 people) 599 (35.2)
    City size town (more than 150,000 people) 597 (35.1)

Difficulties and coping strategies

Frequencies and proportions related to all three objectives are found in Table 3 (medications) and Table 4 (medical supplies). Nearly 20% of the paramedics indicated that they had encountered difficulty related to packaging within the previous 12 months for both tasks (identifying and opening) across product categories (medications and medical supplies); specifically: 359 respondents (21.1%) reported that they had difficulty identifying medications within the previous 12 months (Table 3); while 290 respondents (17.0%) reported difficulty identifying medical supplies (Table 4); 349 (20.5%) reported difficulty opening a medication and 399 (23.4%) had difficulty opening a medical supply during this same time frame.

Table 3. Frequencies and proportion of respondents self-reporting difficulty with each task (identifying and opening), resulting coping strategies and negative impact on care related to medication use within the previous 12 months.

Objective 1- Estimate the prevalence of difficulty associated with the packaging of medications within the prehospital context within the previous 12 months of work
Difficulty identifying a medication 359 respondents indicate difficulty identifying a medication within the past 12 months (21.1%) Difficulty opening a medication 349 respondents indicate difficulty opening a medication within the past 12 months (20.5%)
Reasons for difficulty n (% of total respondents; % of those reporting this difficulty with this product category) Reasons for difficulty n (% of total respondents; % of respondents reporting this difficulty with this product category)
    Lack of transparency made product identification difficult 47 (2.8; 13.1) Too small of an area to grip 125 (7.3; 35.8)
    Crowded label 189 (11.1; 52.6) Material meant to separate stuck together 116 (6.8; 33.2)
    Small text 238 (14.0; 66.3) Product required too much force to open 119 (7.0; 34.1)
    Similar packaging different products 246 (14.5; 68.5) Product required two hands to open 172 (10.1; 49.3)
    Confusing names 55 (3.2; 15.3) Unfamiliar with product packaging 60 (3.5; 17.2)
    Dark conditions 117 (6.9; 32.6) Packaging directions for opening were not clear 45 (2.6; 12.9)
Objective 2- Investigate the coping strategies employed when difficulties occur with the packaging of medications
Coping strategies Coping strategies
Flashlight 211 (12.4; 58.8) Knife 99 (5.8; 28.4)
Touch/feel 26 (1.5; 7.2) Scissors 189 (11.1; 54.2)
Changed location of product within container, bag or ambulance 174 (10.2 48.5) Teeth 103 (6.1; 29.5)
Pen 76 (4.5; 21.8)
Partner Assist 172 (10.1; 49.3)
Objective 3- Begin to quantify the potential impacts on care associated with difficulties with the packaging of medications
Difficulty resulted in negative patient outcome 20 (1.2; 5.6) Difficulty resulted in negative patient outcome 32 (1.9; 9.2)

Table 4. Frequencies and proportion of respondents self-reporting difficulty with each task (identifying and opening), resulting coping strategies and negative impact on care related to use of medical supplies within the previous 12 months.

Objective 1- Estimate the prevalence of difficulty associated with the packaging of medical supplies with the prehospital context within the previous 12 months of work
Difficulty identifying a medical supply 290 respondents indicate difficulty identifying a medical supply within the past 12 months (17.0%) Difficulty opening a medical supply 399 respondents indicate difficulty opening a medical supply within the past 12 months (23.4%)
Reasons for difficulty n (% of total respondents; % of those reporting this difficulty with this product category) Reasons for difficulty n (% of total respondents; % of those reporting this difficulty with this product category)
    Lack of transparency made product identification difficult 60 (3.5; 20.7) Too small of an area to grip 252 (14.8; 63.2)
    Crowded label 189 (11.1; 65.2) Material meant to separate stuck together 188 (11.0; 47.1)
    Similar packaging different products 170 (10.0; 58.6) Product required too much force to open 113 (6.6; 28.3)
    Confusing names 20 (1.2; 6.9) Product required two hands to open 270 (15.9; 67.7)
    Dark conditions 88 (5.2; 30.3) Unfamiliar with product packaging 33 (1.9; 8.3)
Packaging directions for opening were not clear 51 (3.0; 12.8)
Objective 2- Investigate the coping strategies employed when difficulties occur with the packaging of medical supplies
Coping strategies Coping strategies
    Flashlight 156 (9.2; 53.8) Knife 143 (8.4; 35.8)
    Touch/feel 73 (4.3; 25.2) Scissors 307 (18.0; 76.9)
    Changed location of product within container, bag or ambulance 144 (8.5; 49.7) Teeth 156 (9.2; 39.1)
Pen 96 (5.6; 24.1)
Partner Assist 219 (12.9; 54.9)
Objective 3- Begin to quantify the potential impacts on care when difficulties occur with the packaging of medical supplies
Difficulty resulted in negative patient outcome 31 (1.8; 10.7) Difficulty resulted in negative patient outcome 51 (3.0; 12.8)

The most commonly reported reason for difficulty identifying a medication was that “different medications have similar packaging” (n = 246, 68.5%, Table 3), while the most commonly reported reason leading to difficulty in identifying a medical supply was “crowded label made it difficult to read” (n = 189, 65.2%, Table 4).

The top reason for difficulty opening was the same across both product categories, “product required two hands to open” (n = 172, 49.3%; n = 270, 67.7%). Frequencies of reported, specific reasons associated with difficulty opening products are presented in Table 3 for medications and Table 4 for medical supplies.

“Flashlight use” was reported as the most common coping strategy employed when paramedics reported difficulty identifying both medications (n = 211/359, 58.8%) and medical supplies (n = 156/290, 53.8%). “Scissors” were the most commonly reported strategy employed when opening difficulties were encountered; this was the case for both medications (n = 189/349, 54.2%; Table 3) and medical supplies (n = 307/399, 76.9%; Table 4). Of additional interest, was the reported use of teeth to open both medications (n = 103/349, 29.5%) and medical supplies (n = 156/399, 39.1%) when difficulties were encountered.

We fit two multivariable logistic regression models with the two outcomes of interest: difficulty opening medication (Model 1, Table 5) and difficulty opening medical supplies (Model 2, Table 6). The following covariates were considered for both models: age, sex, race, years of experience in EMS, primary role, the level of education, and size of community. In addition, difficulty in identifying medication and difficulty in identifying medical supplies were included for Model 1 and Model 2, respectively.

Table 5. Univariable and multivariable regression analysis for difficulty opening medication.

Univariable analysis Multivariable analysis
Odds Ratio 95% C.I Odds Ratio 95% C.I
Difficulty in identifying medication
    Did not have difficulty in identifying medication within the past 12 months ref ref
    Had difficulty in identifying medication within the past 12 months 2.70 2.081 3.51 2.91 2.21 3.83
Age 0.99 0.98 1.00 0.99 0.98 1.0070
Sex
    Female ref ref
    Male 0.53 0.41 0.70 0.51 0.38 0.68
Race/ethnicity
    Non-Hispanic white ref ref
    Minority 0.81 0.54 1.20 0.69 0.43 1.10
Years of EMS experience
    = < 10 years ref ref
    >10 years 0.85 0.66 1.076 0.98 0.70 1.37
Primary role
    Patient care provider ref ref
    Others (educator, preceptor, dispatcher/call taker, administrator/manager, first-line supervisor and others) 0.68 0.50 0.91 0.71 0.52 0.99
Level of education
    Non-college (didn’t complete high school and high school graduate/GED) ref ref
    College (some college, associate degree, bachelor’s degree, master’s degree and doctoral degree) 0.89 0.53 1.50 0.86 0.49 1.49
Size of community
    Small town (less than 24,999 people) ref ref
    Medium town (25,000–149,999 people) 1.066 0.80 1.43 1.12 0.82 1.54
    City size town (more than 150,000 people) 0.92 0.69 1.23 0.94 .69 1.27

Bolded font indicates significance at α = 0.05.

Table 6. Univariable and multivariable regression analysis for difficulty opening medical supplies.

Univariable analysis Multivariable analysis
Odds Ratio 95% C.I Odds Ratio 95% C.I
Difficulty in identifying medical supplies
    Did not have difficulty in identifying medical supplies within the past 12 months ref ref
    Had difficulty in identifying medical supplies within the past 12 months 3.45 2.64 4.51 3.67 2.78 4.85
Age 1.0050 0.99 1.016 1.017 1.0020 1.031
Sex
    Female ref ref
    Male 0.99 0.74 1.31 0.90 0.67 1.21
Race/ethnicity
    Non-Hispanic white ref ref
    Minority 0.81 0.56 1.17 0.71 0.47 1.078
Years of EMS experience
    = < 10 years ref ref
    >10 years 1.025 0.81 1.29 0.83 0.61 1.14
Primary role
    Patient care provider ref ref
    Others (educator, preceptor, dispatcher/call taker, administrator/manager, first-line supervisor and others) 0.99 0.76 1.28 1.023 0.77 1.36
Level of education
    Non-college (didn’t complete high school and high school graduate/GED) ref ref
    College (some college, associate degree, bachelor’s degree, master’s degree and doctoral degree) 1.38 0.79 2.40 1.53 0.84 2.79
Size of community
    Small town (less than 24,999 people) ref ref
    Medium town (25,000–149,999 people) 0.83 0.62 1.090 0.82 0.61 1.11
    City size town (more than 150,000 people) 0.84 0.64 1.091 0.86 0.65 1.14

Bolded font indicates significance at α = 0.05.

Tables 4 and 5 present the logistic regression analysis for difficulties opening medications and difficulties opening medical supplies, respectively. The odds of difficulty opening medications for those who had experienced difficulty identifying medications within the past year was 2.91 times that of the odds of difficulty opening medications for those who had not experienced difficulty identifying medications within the past year (OR: 2.91, 95% CI: 2.21–3.83). Significant effects of sex and primary role on the odds of reporting difficulty opening medications were also observed (Table 5). Specifically, the odds of reporting a difficulty opening medication was reduced by approximately 49% for males when compared to that of female respondents (OR: 0.51, 95% CI: 0.38–0.68). Additionally, the odds of reporting difficulty with opening medications were reduced by 29% for those with other roles such as dispatcher, instructor and administrator, compared to patient care providers (OR: 0.71, 95% CI: 0.52–0.97).

When difficulties associated with opening medical supplies were examined (Table 6), results were similar to those reported for opening medications (Table 5). The odds of difficulty opening medical supplies for participants who reported a difficulty identifying medical supplies within the past 12 months were 3.67 times higher than the odds for those who had not reported difficulty identifying a medical supply within the past 12 months (OR: 3.67, 95% CI: 2.80–4.85). For every one-year increase in age, there was a 2% increase in the odds of difficulty opening medical supplies (OR: 1.017, 95% CI: 1.00–1.03).

Negative patient outcomes

The prevalence of a negative outcome to patient care outcomes affiliated with difficulties with packaging ranged from 1.2% of all participants (n = 20, or 5.6% of the 359 people reporting difficulty identifying a medication, Table 3) to as high as 3.0% of all participants (n = 51, or 12.8% of the 399 people indicating that they had encountered difficulty opening a medical supply, Table 4). Intermediate to these two task/product combinations were those related to identifying a medical supply (Table 4), with 31 paramedics reporting a negative outcome on patient care (1.8% of respondents or 10.7% of the 290 who reported experiencing this difficulty) and 32 negative outcomes associated with opening medications (1.9% of the respondent population and 9.2% of 349 reporting difficulty with this task, Table 3).

Discussion

Although other researchers have indicated healthcare products not designed in ways which consider care context as among the most common hazard associated with medical errors [23], there is a dearth of work characterizing how packaged products perform in realistic contexts of use. The most oft-studied healthcare environment is the perioperative context, an environment that is arguably less demanding for product design than that of prehospital environment. Further, the performance of package design, a critical and ubiquitous component of all products, has, to our knowledge, never been investigated in prehospital environments, despite the fact that similar packaging and labelling have been identified as fundamental reasons for medication errors [27].

Our analysis provides some initial evidence that paramedics have difficulties both identifying and opening packaged products and that these difficulties have the potential to negatively impact patient outcomes (Tables 3 and 4). Several factors were found to be significantly associated with the reported difficulty with opening for both medications and medical supplies. For both categories of product (medications and medical supplies), respondents had significantly higher odds of reporting difficulty with opening if they had also reported difficulty with identifying within the past year (Tables 5 and 6). These results could indicate that respondents who were more comfortable reporting difficulties were more likely to report for each of the tasks studied (identifying and opening); however, it could also suggest that when manufacturers do not engage in a thoughtful design process, poor design affects multiple, critical tasks. If the latter is the case, paramedics could encounter serial difficulties among the tasks to be accomplished (first in identifying and then, subsequently, in opening needed products), potentially delaying patient care. The potential and impact for serialized difficulties associated with packaging in prehospital contexts was beyond the scope of the work but presents an interesting idea that needs study.

Results also advocate for the incorporation of users likely to have difficulties associated with packaging during the iterative design process. Findings indicate that females were significantly more likely to report difficulty opening medications than their male counterparts (Table 5), potentially because of documented differences in hand strength [2831]. That said, this could also be indicative of a willingness to express vulnerability that men do not share [32]; if this is the case, it would support the idea that difficulties are actually underreported. We also found older paramedics to be significantly more likely to report difficulties opening medical supplies than their younger counterparts (Table 6); declines in the strength of the hand are well-documented as a natural process that occurs with aging [29,33] and offer an explanation of this result.

The limited work that has been done to understand how packaging performs in healthcare contexts has focused on perioperative environments [27,34,35]. Many of the published findings conducted in these more controlled contexts of care indicate improvements in packaging are needed, parallel to the findings we present here. Published studies using perioperative contexts have concluded that packages are: “hard to open” [35,36] and employ “crowded label contents” which make crucial information difficult to locate [27,34,35]. While our survey of paramedics echoed the difficulties voiced by perioperative personnel, they also expressed problems, and coping strategies, that were uniquely their own. The indication or implication that paramedics only have one hand available to physically manipulate packaging was apparent throughout the results. The need for designs which enable one-handed use was evident in this sample, with the “need for two hands [when opening the packages] [32]” reported as a common difficulty and “use of teeth” or the need for a “partner’s assistance” as common coping mechanisms when difficulties were encountered. It is not beyond fathom that the use of instruments or teeth have the potential to serve as an indirect mechanism for the transfer of microbes, one possible contributor among many which could help to explain the high rates of infection among patients who have received advanced life support (ALS) prior to hospital admission as compared to those transported by other means [25].

If this is the case, it would suggest that the rates of negative impact on patient outcome (Tables 3 and 4) are actually under-reported, further supporting this as an issue in need of careful consideration.

Limitations

One of the more interesting contributions of our study is the number of participants who reported having difficulties that resulted in negative impact on patient care (1.2% associated with identifying a medication; 1.9% associated with opening a medication;1.8% associated with identifying a medical supply; and 3% associated with opening a medical supply). Readers are urged to interpret results related to negative patient outcomes cautiously. The survey itself did not specifically define the term “negative outcome,” instead leaving the survey respondent to interpret its meaning (see Supplemental files for survey). The open-ended nature of this approach enables a wide array of potential outcomes to be considered as negatively impacting care (from delay of care to death of patient). A lack of questions that probed details surrounding the negative outcome precludes detailed interpretation of these results and implores the need for future research.

A further limitation of the survey is the binary nature of the question about difficulties affiliated with packaging use. Specifically, a single question asks respondents about difficulties (identifying or opening) by product type (medications or medical device) and is only presented once (for each combination). A “yes response” related to the difficulty question triggered a cascade of questions probing the difficulty and coping strategies that were employed. Although this provides us with an indication of the frequency across participants, the way that the survey was framed we cannot deduce the number of occurrences for each respondent (across the last year) or whether or not the coping mechanisms that they reported arose from multiple incidences or a single event.

Conclusions

Our findings suggest that paramedics encountered difficulties identifying and opening packaged products and provides preliminary evidence that suboptimal designs potentially negatively impact patient outcomes. In light of this, the designers of healthcare products should incorporate insights gathered in prehospital environments to enhance package designs in ways that enable the performance of tasks critical to care. This becomes an imperative as healthcare evolves to better integrate the complex components that must work in synergy toward common, patient-centered goals, and is requisite to improved outcomes [37].

Supporting information

S1 File. “Cognitive walk-through protocol”.

(DOCX)

S2 File. “Flat file data set”.

(XLSX)

S3 File. “Study questionnaire”.

(PDF)

Acknowledgments

The author would like to thank Hope Akaeze who assisted in her role with the MSU CSTAT organization. Ms. Akaeze provided useful resources for statistics concepts presented herein.

Data Availability

All relevant data are within the manuscript and its supporting information files.

Funding Statement

The Author(s) received no specific funding for this work. A portion of Laura Bix's salary is funded through a NIFA Hatch Act Grant provided by the USDA under project MICL02263.

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Decision Letter 0

Jamie Males

19 May 2021

PONE-D-20-33281

Paramedic interactions with the packaging of medications and medical supplies in the prehospital setting: Does poor package design have the potential to impact patient health?

PLOS ONE

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**********

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**********

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**********

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Reviewer #1: Thanks the opportunity to review your work. The study is relevant to daily clinical practice of prehospital patient care. The study is well designed and conducted. The result and date analysis are appropriate to address the research questions.

Some questions regarding "patient outcome" in Table 2. That is very vague definition in healthcare setting. Does it mean the patient care delayed, or infection, or patient death? How could those responders know which packing factors contribute those outcomes? This could introduce some bias.

Most of those paramedics working as a team, it might be interesting to know how their partner helped them to complete those tasks with difficulty (e.g., one hand). Also, beyond the lighting, does the moving vehicle compare to stable task environment contribute more challenge for their tasks.

Those are issue can be mentioned in the discussion to help interpret those results and provide guidance for future packing design.

Reviewer #2: The authors study the usability of packaging and medical supplies in the pre-hospital setting.

This is a rather straightforward paper. There are a few points that require additional explanation, and there is one major reflection regarding the study set-up:

- 'pre-hospital' should be more clearly defined.

- p3: what does it actually mean "of increasing importance"?

- p10: upper age limit of 85 seems a bit weird? If that high, why have one at all?

- p11: "descriptive variables (...) the factors affecting difficulty". How can reducing the granularity of your data lead to better understanding? Did you do a sensitivity analysis for the years of experience?

Major point:

- the survey questions are not appended, causing some unclarity. Hence, this point is articulated into multiple tracks. Please clarify better in your text which is the actual scenario, and address the points presented for that scenario.

The authors present extensive quantitative analysis of the results. However, it is unclear what these actually mean. I would image that in the group of respondents there are A.) people not experiencing problems (or not remembering or not willing to answer), B.) respondents remembering a single instance of an issue in the past year, C.) respondents who had experienced multiple issues.

My unclarity concerns group C.

Option 1: the survey asked respondents to repeat the questions for multiple instances, so one respondent could generate multiple recorded cases and coping mechanisms separately.

Option 2: respondents answered only once, but could include all coping mechanisms (over multiple issues in the last year)

Option 3: respondents could answer only regarding a single specific case, and were or were not prompted on how to select the case for which they provided the answers.

Which of these options is the actual case, and what that implies for the presented statistics is currently unclear.

The current discussion is already a well written reflection of what the results might mean, but they should be extended to reflect on the above points raised regarding the sampling of problematic interactions.

Reviewer #3: The title of this paper need to change. Please restructure the title. Better remove ? on the title.

Please make a proof ready on this paper.

Please do the proof read on this paper to make more technical and easy to understanding for the reader.

**********

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PLoS One. 2021 Aug 11;16(8):e0255099. doi: 10.1371/journal.pone.0255099.r002

Author response to Decision Letter 0


28 Jun 2021

[EDITOR] 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

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[AU]—We have thoroughly reviewed the style templates and believe our submission to be compliant with the requirements of the publication.

[EDITOR] 2. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[EDITOR] 3. Please include additional information regarding the content validation of the survey or questionnaire used in the study and ensure that you have provided sufficient details that others could replicate the analyses. Furthermore if the questionnaire is not under a copyright more restrictive than CC-BY, please include a copy, in both the original language and English, as Supporting Information.

[AU]--- We have now included both the survey, which is not currently under copyright, and the protocol for the cognitive walkthrough that was conducted with a small sample of practicing Emergency Medical Service (EMS) professionals prior to distribution of the survey. These are included as supplemental materials. The cognitive walk through was conducted to examine the survey content for applicability with test population by conatively testing practicing EMS providers. Specifically, we examined whether survey items functioned as intended. There were four main areas to ascertain;

(1) Is the item being comprehended as intended by the item writer?

(2) Is the respondent a knowledgeable informant? That is, does the respondent possess the knowledge needed to answer the question?

(3) Can respondents use the knowledge they possess to form a judgment (answer the question) in an appropriate manner?

(4) Will respondents with similar experiences select the same response option?

Six EMS professionals participated in the test. The participants included: an EMT in an ALS level service with 6 years of experience, an EMT at a fire-based service with unknown years of experience, a paramedic at a fire-based service with 12 years of experience, a paramedic at a fire-based 911 service with 8 years of experience, a paramedic at a private service with 5 years of experience, and a critical care paramedic at a private service with 7 years of experience.

As a result of this assessment, changes to the survey were recommended, and reflected in a revised survey instrument that was distributed nationally.

The validity of sample size is addressed in the paper, which was calculated by performing power calculation.

4. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

[AU] The survey (as well as the cognitive walkthrough) is now included, in its entirety, as part of the supplemental materials. Captions for each of these have been added to the revised document.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

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Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Yes

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

3. Have the authors made all data underlying the findings in their manuscript fully available?

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

4. Is the manuscript presented in an intelligible fashion and written in standard English?

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

5. Review Comments to the Author

Reviewer Comments presented in bold--- Author response preceded by [AU]

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

[REVIEWER #1]: Thanks the opportunity to review your work. The study is relevant to daily clinical practice of prehospital patient care. The study is well designed and conducted. The result and date analysis are appropriate to address the research questions.

[AU] We thank the reviewer for their kind words.

[REVIEWER #1]-Some questions regarding "patient outcome" in Table 2. That is very vague definition in healthcare setting. Does it mean the patient care delayed, or infection, or patient death? How could those responders know which packing factors contribute those outcomes? This could introduce some bias.

[AU] --- The authors appreciate the insight provided by the reviewer regarding lack of specificity of the term “patient outcome.” The reviewer is astute in this observation. As we indicate in the introduction of the paper, errors associated with packaging and labeling tend to be latent in nature; that is, they occur upstream from the presentation. Adding to the complexity is the fact that they tend to be “system related,” specifically, that they are one of a number of contributing factors. These facts suggest that any numbers reported in the publication herein are likely to be conservative estimates of the magnitude of the problem. That said, after reviewing the comments from the reviewer, we realize and appreciate that a negative patient outcome is not necessarily related to health status, but, as noted, could include other things, such as delayed care. The inclusion of the survey as a supplemental file will allow the reviewer to see that little can be done regarding how the outcome language was framed, leaving a very broad potential for interpreting the term.

The lack of the specificity of the outcomes reported, are, indeed, a shortcoming of the study design. To more clearly and directly address this with readers, we have added a limitations section to the document, a section which was not included in the prior version. We have incorporated the following text as part of the limitations.

“One of the more interesting contributions of our study is the number of participants who reported having difficulties that resulted in negative impact on patient care (1.2% associated with identifying a medication; 1.8% associated with identifying a medical supply; 3% associated with opening a medical supply). Readers are urged to interpret results related to negative patient outcomes cautiously. The survey itself did not specifically define what encompassed a “negative outcome,” instead leaving the survey respondent to interpret its meaning (see Supplemental files for survey). The open-ended nature of this approach enables a wide array of potential outcomes to be considered as negatively impacting care (from delay of care to death). The lack of questions that probed details surrounding the negative outcome precludes detailed interpretation of these results and implores the need for future research.”

[REVIEWER #1]-Most of those paramedics working as a team, it might be interesting to know how their partner helped them to complete those tasks with difficulty (e.g., one hand). Also, beyond the lighting, does the moving vehicle compare to stable task environment contribute more challenge for their tasks….[REVIEWER #1]-Those are issue can be mentioned in the discussion to help interpret those results and provide guidance for future packing design.

[AU]- We believe that the inclusion of the survey (now included in supplemental materials) will significantly aid reader understanding.

The survey presented “partner assistance” as one of the radio buttons that could be checked (multiple radio buttons could be checked) as a coping strategy utilized. Although an open-ended response was provided (under other), the wording did not likely lead respondents to elaborate on the type of assistance that they requested/obtained. In retrospect, a more granular collection related to frequencies of specific events (and details associated with the same) would have provided interesting insights.

That said, the overarching goal of this work was to unearth whether or not packaging used within the prehospital context was an area in need of further study. Additionally, we wanted to verify /validate the anecdotal evidence that we had which suggested problems associated with packaging in prehospital contexts. Our work does provide evidence of this need beyond the anecdotes and, as such, we believe there is still value in this publication.

With regard to other factors that influence care delivery (such as vibration), that is, precisely, what we were interested in studying. We had observed that paramedics used their teeth to open packaging, largely due to the extremes contexts that they have to deal with but could find no indication of this within the literature. Our review of the literature suggested no characterization of packaging shortcomings in the prehospital context. Further, our experience with packaged healthcare products suggested that, in the rare case that human factors studies were done with packaging, the sole focus was on perioperative environments. After conducting this survey to confirm and validate our observations, we ran simulation studies with paramedics which incorporated motion (using a multi access vibration table driven with profiles taken from road data collected using two ambulances); this data replicates many of the findings presented here, including use of teeth to open. We are currently writing up the results of the study, which did replicate the problematic behaviors noted here. In short, vibration is one of many factors that catalyzes some of the behaviors.

[REVIEWER #1]: The authors study the usability of packaging and medical supplies in the pre-hospital setting.

This is a rather straightforward paper. There are a few points that require additional explanation, and there is one major reflection regarding the study set-up:

[REVIEWER #1]- 'pre-hospital' should be more clearly defined.

[AU] We have made an attempt to clarify this terminology, jargon of the healthcare sector, that we failed to define in our first submission.

In the abstract we have amended the very first section (Background) so that it now reads

“Settings where Emergency Medical Services (EMS) are provided to stabilize patients and transport them to locations better equipped to provide comprehensive care, “prehospital settings,” are not frequently considered when designing packaged products. More specifically, packaging design is an understudied area in the prehospital setting, potentially impacting both healthcare provider behavior and patient outcomes. Our objectives were to: 1) describe difficulties associated with packaging in prehospital settings 2) investigate the coping strategies used by paramedics when difficulties occurred, and 3) assess the potential impacts these difficulties had on patient care.

Within the body of the document, just prior to the Methods section- at the tail end of the literature review, we have added the following paragraph:

“And it isn’t just packaging that hasn’t been thoroughly researched, understood, and optimized; the healthcare environment itself, undoubtedly, impacts how care givers interact with products to deliver patient care. Of particular interest to us was how packaging performs within the prehospital setting. Emergency Medical Services (EMS) are administered during prehospital care to stabilize patients and transport them to a location better equipped to provide comprehensive care. Despite the extreme conditions that may be present (e.g. poor lighting, extreme heat, noise, chaos, emergency vehicle movement, interloping friends and family), they are infrequently (if ever) considered by designers.”

[REVIEWER #1] -p3: what does it actually mean "of increasing importance"?

[AU]- To address this with better specificity, the sentence “Engineering safety into the overall healthcare system to reduce errors and improve patient outcomes is of increasing importance.” (appearing at the very beginning of the article) has now been modified to the following text in an attempt to enhance the clarity of message.

“Engineering safety into the overall health care system to reduce errors and improve patient outcomes is an important paradigm being actively embraced by the designers of healthcare products (and systems), caregivers and policy makers [1].

[REVIEWER #1]- p10: upper age limit of 85 seems a bit weird? If that high, why have one at all?

[AU] We concur that this is a bit odd, and in retrospect, that we probably just should have been indicated “ no upper limit” regarding age. That said, the paperwork filed for our IRB requires an age range for eligible participants (with upper and lower limits). The minimum age that someone can consent themselves, and the minimum age to work as a paramedic, is 18 years old. The physical nature of the work skews demographic data young. Specifically, the average age of a female paramedic is 34.7, and the average age of male paramedics is 36.5. Although there is no official limit on the age of people that can work as paramedics, data suggests that there are no paramedics that work beyond their sixties (see below-- Source data from the US Census Bureau ACS PUMS available at https://datausa.io/profile/soc/emergency-medical-technicians-paramedics )

As a result, the upper limit of 85 basically afforded us inclusion of all working paramedics.

[REVIEWER #1]- p11: "descriptive variables (...) the factors affecting difficulty". How can reducing the granularity of your data lead to better understanding? Did you do a sensitivity analysis for the years of experience?

[AU]- We appreciate and concur with the reviewer’s assessment that collapsing potential independent variables across categories (See Survey in Supplemental files for details that were collected from survey respondents) doesn’t enhance granularity, but a small number of responses for a given category within the independent variable precluded our ability to draw meaningful inference. As such, several categories that we collected were collapsed.

To further investigate this (in response to reviewer concerns) a sensitivity analysis was conducted with different cutoff points (4 years, 7 years and 15 years) for each of the two products (medications and medical supplies). These analyses are presented in the tables below and suggest limited changes in significant results regardless of the cutoff points employed.

4 years cutoff 7 years cutoff 15 years cutoff

=< cutoff point 210 (12.3%) 438 (25.7%) 980 (57.6%)

> cutoff point 1,491 (87.7%) 1,263 (74.3%) 721 (42.4%)

Missing 1 1 1

Total 1,702 1,702 1,702

The results of logistic regression per cutoff (4 years, 7 years and 15 years) within the variable of ‘years of experience’ are shown in the tables presented below. These were conducted by product (1. Medication and 2. Medical supplies).

1. For ‘difficulty opening medication’, the current (included in the published paper) cutoff of group (10 years) indicates that the coefficients of ‘difficulty identifying medication’, ‘sex’ and ‘primary role’ as significant. This is consistent with the results of other cutoff analyses that we conducted in response to reviewer concerns (see Table 1 -3).

1-1 Difficulty opening medication: Cutoff at 4 years of experience ….

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a In the past 12 months, have you had difficulty identifying a medication while providing care in the prehospital setting? 1.063 .141 56.991 1 .000 2.896

Age -.005 .007 .506 1 .477 .995

What is your sex? -.672 .149 20.260 1 .000 .511

Race -.375 .240 2.441 1 .118 .687

year4 -.359 .197 3.315 1 .069 .699

Primary Role -.313 .164 3.643 1 .056 .732

Education -.157 .283 .306 1 .580 .855

Community SIze 1.453 2 .484

Community SIze(1) -.189 .161 1.383 1 .240 .828

Community SIze(2) -.135 .161 .708 1 .400 .874

Constant .059 .491 .015 1 .904 1.061

1-2. Difficulty opening medication: Cutoff at 7 years of experience ….

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a In the past 12 months, have you had difficulty identifying a medication while providing care in the prehospital setting? 1.070 .141 57.754 1 .000 2.916

Age -.006 .007 .783 1 .376 .994

What is your sex? -.678 .149 20.715 1 .000 .508

Race -.374 .240 2.437 1 .119 .688

year7 -.135 .172 .618 1 .432 .874

Primary Role -.321 .165 3.786 1 .052 .725

Education -.157 .283 .309 1 .578 .854

Community SIze 1.259 2 .533

Community SIze(1) -.178 .160 1.226 1 .268 .837

Community SIze(2) -.117 .160 .540 1 .463 .889

Constant -.308 .440 .491 1 .483 .735

1-3. Difficulty opening medication: Cutoff at 15 years of experience ….

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a In the past 12 months, have you had difficulty identifying a medication while providing care in the prehospital setting? 1.066 .141 57.383 1 .000 2.904

Age -.009 .008 1.304 1 .254 .991

What is your sex? -.680 .149 20.773 1 .000 .506

Race -.375 .240 2.448 1 .118 .687

year15 -.003 .177 .000 1 .985 .997

Primary Role -.341 .165 4.246 1 .039 .711

Education -.154 .283 .295 1 .587 .858

Community SIze 1.298 2 .522

Community SIze(1) -.181 .160 1.277 1 .259 .834

Community SIze(2) -.115 .160 .514 1 .473 .892

Constant -.413 .421 .964 1 .326 .662

2. We repeated this exercise related to medical device results. Specifically the analysis that we present in the paper regarding the difficulty opening medical devices suggest that the coefficients of ‘difficulty identifying medical device’ and ‘age’ as significant. In the analysis conducted in response to reviewer concerns these are consistent across the other cutoffs except for the result from 15 years of cutoff (where the coefficient of ‘Age’ is not significant). We postulate that this is because the age is correlated to ‘years of experience’

2-1. Difficulty opening medical device: Cutoff at 4 years of experience ….

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a In the past 12 months, have you had difficulty identifying a medical supply (e g , syringe, endotracheal tube, IV administration set) while providing care in the prehospital setting? 1.293 .142 83.202 1 .000 3.644

Age .016 .006 6.191 1 .013 1.016

What is your sex? -.100 .152 .437 1 .508 .905

Race -.344 .214 2.592 1 .107 .709

year4 -.349 .193 3.254 1 .071 .706

Primary Role .017 .144 .014 1 .906 1.017

Education .429 .307 1.951 1 .162 1.535

Community SIze 1.732 2 .421

Community SIze(1) .031 .153 .040 1 .842 1.031

Community SIze(2) .181 .152 1.424 1 .233 1.199

Constant -1.874 .503 13.912 1 .000 .153

2-2. Difficulty opening medical device: Cutoff at 7 years of experience ….

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a In the past 12 months, have you had difficulty identifying a medical supply (e g , syringe, endotracheal tube, IV administration set) while providing care in the prehospital setting? 1.291 .142 83.023 1 .000 3.635

Age .015 .007 4.850 1 .028 1.015

What is your sex? -.106 .151 .492 1 .483 .899

Race -.341 .213 2.554 1 .110 .711

year7 -.159 .165 .929 1 .335 .853

Primary Role .015 .145 .011 1 .917 1.015

Education .425 .307 1.917 1 .166 1.529

Community SIze 1.991 2 .369

Community SIze(1) .042 .153 .075 1 .784 1.043

Community SIze(2) .197 .151 1.703 1 .192 1.218

Constant -2.215 .454 23.840 1 .000 .109

2-3. Difficulty opening medical device: Cutoff at 15 years of experience ….

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a In the past 12 months, have you had difficulty identifying a medical supply (e g , syringe, endotracheal tube, IV administration set) while providing care in the prehospital setting? 1.287 .142 82.648 1 .000 3.620

Age .013 .007 3.086 1 .079 1.013

What is your sex? -.105 .152 .483 1 .487 .900

Race -.340 .213 2.545 1 .111 .711

year15 -.048 .162 .090 1 .764 .953

Primary Role -.001 .145 .000 1 .992 .999

Education .430 .307 1.965 1 .161 1.537

Community SIze 2.060 2 .357

Community SIze(1) .038 .153 .060 1 .806 1.038

Community SIze(2) .199 .151 1.724 1 .189 1.220

Constant -2.342 .434 29.076 1 .000 .096

[REVIEWER #2] Major point:

[REVIEWER #2]- the survey questions are not appended, causing some unclarity. Hence, this point is articulated into multiple tracks. Please clarify better in your text which is the actual scenario, and address the points presented for that scenario.

[AU] The survey is now included in the supplemental materials. We anticipate that this will alleviate several of the issues raised by reviewers. In addition, we have attempted to modify the manuscript to clarify as well. We have addressed these in the specific points throughout this letter.

[REVIEWER #2] The authors present extensive quantitative analysis of the results. However, it is unclear what these actually mean. I would image that in the group of respondents there are A.) people not experiencing problems (or not remembering or not willing to answer), B.) respondents remembering a single instance of an issue in the past year, C.) respondents who had experienced multiple issues.

My unclarity concerns group C.

Option 1: the survey asked respondents to repeat the questions for multiple instances, so one respondent could generate multiple recorded cases and coping mechanisms separately.

Option 2: respondents answered only once, but could include all coping mechanisms (over multiple issues in the last year)

Option 3: respondents could answer only regarding a single specific case, and were or were not prompted on how to select the case for which they provided the answers.

Which of these options is the actual case, and what that implies for the presented statistics is currently unclear.

The current discussion is already a well written reflection of what the results might mean, but they should be extended to reflect on the above points raised regarding the sampling of problematic interactions.

[AU]- It was clear from the comments of several of the reviewers (and, honestly, should have been self-apparent) that the absence of the original survey made it difficult to completely understand the Methods (and, as such, interpret the Results). We believe that the inclusion of the survey as a supplemental document significantly enhances reader understanding. That said, several of the responses within the survey were “cascading.” That is, subsequent questions would only be shown if a particular response (e.g., a “yes” associated with the question of difficulty within the previous twelve months triggered probing questions related to specific details regarding the difficulty and how participants coped with it).

The reviewer makes an astute observation; we treated difficulties (identifying medication; identifying medical supply; opening medication; opening medical supply) as distinct, binary events that occurred during the twelve months preceding the survey. Our survey did not afford respondents the opportunity to indicate how many times within the previous year a particular combination (identifying/opening by product type- medication or medical device had occurred). Option 2—where they report the problem in the binary, but participants were able to select all the different things that manifest this problem represents the Method most accurately. In retrospect, a collection of self-reported frequencies of occurrence would have added insight. That said, given that the goal of the work was to unearth whether (or not) packaging within the prehospital context was an area in need of further study for the purpose of validating the anecdotal evidence that we had, we feel like there is still value in this publication. Further, in light of the fact that the reported frequencies err on the side of conservatively estimating (under reporting the problems), we don’t see this as unduly problematic.

Nonetheless, we have added the following statement to our (newly added) Limitations section,

“A further limitation of the survey is the binary nature of the reporting of difficulties affiliated with packaging use. Specifically, a single question asks respondents about difficulties (identifying or opening) by product type (medications or medical device) and is only presented once. It asked respondents whether (or not) they had experienced a particular difficulty within the previous 12 months in binary fashion. A “yes response” triggered a cascade of questions that probed the difficulty and coping strategies that were employed as a result. Although the single question, binary nature of the frame provides us with some indication of the frequency across participants, the way that the survey was framed, we don’t have information about the number of occurrences for each of the respondents (within participant frequency). We also don’t have an indication of the number of times (across twelve months) a particular difficulty occurred and whether or not the coping mechanisms that they reported arose from multiple incidences or a single event.”

[REVIEWER #3]: The title of this paper need to change. Please restructure the title. Better remove ? on the title.

[AU]- The title has been modified. We suggest the following as the new title for the paper, which no longer includes the question that was previously present.

“Paramedic interactions with the packaging of medications and medical supplies: Poor package design has the potential to impact patient health.”

[REVIEWER #3] Please make a proof ready on this paper.

Please do the proof read on this paper to make more technical and easy to understanding for the reader.

[AU] In addressing several of the comments, we believe we have enhanced the clarity of the paper. We have defined what is meant by “prehospital contexts” with the hope of improving clarity throughout, and attempted to reword where appropriate to enhance understanding across audiences.

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Attachment

Submitted filename: review.docx

Decision Letter 1

Dylan A Mordaunt

12 Jul 2021

Paramedic interactions with the packaging of medications and medical supplies: Poor package design has the potential to impact patient outcomes

PONE-D-20-33281R1

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Acceptance letter

Dylan A Mordaunt

21 Jul 2021

PONE-D-20-33281R1

Paramedic interactions with the packaging of medications and medical supplies: Poor package design has the potential to impact patient outcomes

Dear Dr. Bix:

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