Research article

Application of Iterative Noise-adding Procedures for Evaluation of Moment Distance Index for LiDAR Waveforms

  • Received: 09 December 2016 Accepted: 07 June 2017 Published: 13 June 2017
  • The new Moment Distance (MD) framework uses the backscattering profile captured in waveform LiDAR data to characterize the complicated waveform shape and highlight specific regions within the waveform extent. To assess the strength of the new metric for LiDAR application, we use the full-waveform LVIS data acquired over La Selva, Costa Rica in 1998 and 2005. We illustrate how the Moment Distance Index (MDI) responds to waveform shape changes due to variations in signal noise levels. Our results show that the MDI is robust in the face of three different types of noise—additive, uniform additive, and impulse. In effect, the correspondence of the MDI with canopy quasi-height was maintained, as quantified by the coefficient of determination, when comparing original to noise-affected waveforms. We also compare MDIs from noise-affected waveforms to MDIs from smoothed waveforms and found that windows of 1% to 3% of the total wave counts can effectively smooth irregularities on the waveform without risking of the omission of small but important peaks, especially those located in the waveform extremities. Finally, we find a stronger positive relationship of MDI with canopy quasi-height than with the conventional area under curve (AUC) metric, e.g., r2 = 0.62 vs. r2 = 0.35 for the 1998 data and r2 = 0.38 vs. r2 = 0.002 for the 2005 data.

    Citation: Eric Ariel L. Salas, Sadichya Amatya, Geoffrey M. Henebry. Application of Iterative Noise-adding Procedures for Evaluation of Moment Distance Index for LiDAR Waveforms[J]. AIMS Geosciences, 2017, 3(2): 187-215. doi: 10.3934/geosci.2017.2.187

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  • The new Moment Distance (MD) framework uses the backscattering profile captured in waveform LiDAR data to characterize the complicated waveform shape and highlight specific regions within the waveform extent. To assess the strength of the new metric for LiDAR application, we use the full-waveform LVIS data acquired over La Selva, Costa Rica in 1998 and 2005. We illustrate how the Moment Distance Index (MDI) responds to waveform shape changes due to variations in signal noise levels. Our results show that the MDI is robust in the face of three different types of noise—additive, uniform additive, and impulse. In effect, the correspondence of the MDI with canopy quasi-height was maintained, as quantified by the coefficient of determination, when comparing original to noise-affected waveforms. We also compare MDIs from noise-affected waveforms to MDIs from smoothed waveforms and found that windows of 1% to 3% of the total wave counts can effectively smooth irregularities on the waveform without risking of the omission of small but important peaks, especially those located in the waveform extremities. Finally, we find a stronger positive relationship of MDI with canopy quasi-height than with the conventional area under curve (AUC) metric, e.g., r2 = 0.62 vs. r2 = 0.35 for the 1998 data and r2 = 0.38 vs. r2 = 0.002 for the 2005 data.


    1. Introduction

    Every year, more than 70, 000 children are evaluated in emergency departments for unintentional exposures related to medicines [1]. Despite decades of public health efforts related to poisoning prevention, this number is increasing. A recent study documented a 43% increase in pediatric poisoning injuries related to pharmaceutical agents reported to the National Poison Data System (NPDS) from 2001 to 2008 with similar increases in admission, emergency department use, and exposures [2].

    The growing numbers of Americans on prescription medications may be a contributing factor to the pediatric poisoning epidemic [3,4]. This may include grandparents, who are having more contact with their grandchildren than ever before [5,6]. These older generations are more likely to use prescription medicines that may be fatal, even in small doses, such as beta-blockers and calcium channel blockers [7,8]. Additionally, grandparents may have knowledge gaps with regards to child safety [9] and store medicines within easy reach of children [10].

    Given the increasing interactions between grandparents and grandchildren in the context of the growing number of pediatric poisonings with pharmaceuticals, easily replicable interventions must be implemented to impact this public health concern. Prior interventions focused on child resistant containers were somewhat effective in decreasing pediatric pharmaceutical poisonings [11,12]; however, more recent literature exposes their imperfections and fallibility [13] . Complementary education initiatives may be helpful. Basic safety education as brief as 5-minutes duration may improve poisoning-prevention practices [14,15]. Unfortunately, older educational programs are compromised by outdated recommendations, such as use of syrup of ipecac [16] and have targeted delivery in home visitation programs[17,20,26], primary care sites [21,22,23,24], and emergency departments [25]. The messages contained in the Preventing Overdoses and Treatment Exposures Task Force’s (PROTECT) “Up & Away” campaign--a multi-media approach that advocates storing medicines out of reach and out of sight of young children1--offer a potential basis for an effective safety education program. The messages are current, amenable to use in multiple settings, and make use of current technologies and media. Many pediatric poisoning pharmaceutical exposures could be avoided by simple adoption of the “Up & Away” message [27].

    Therefore, we hypothesize that an educational intervention based on the “Up & Away” campaign will promote positive change in grandparents’ knowledge of pediatric poisoning prevention and storage of their medication. The purpose of this study was to assess whether a single educational session could improve safe medication storage based on self-report 50-90 days after the educational session in a cohort of grandparents with at least annual contact with a grandchild ages 5-years-old or younger.

    2. Methods

    For this prospective cohort study, researchers recruited a convenience sample from employees within a regional hospital system. Researchers used flyers, advertisements on the employee intranet, e-mail messages, and word of mouth for recruitment. Prior to the study, participants only knew that the study involved their role as grandparents with their grandchildren. Participants had to possess fluency and literacy in conversational English and have at least one grandchild 5-years-old or younger that they interacted with at least annually. This study was approved by the Carolinas HealthCare System Institutional Review Board.

    Because there were no known validated tools for assessing grandparent-grandchild interactions, basic poisoning prevention knowledge, or medication storage, surveys were developed and validated using consensus opinion of the study authors followed by cognitive debriefing on 12 participants [28]. Based on cognitive psychology, this methodology involves structured interviews and questions to minimize misinterpretation of survey questions while enhancing memory recall of participants. Cognitive debriefing was also used to validate our educational intervention, a 15-minute, scripted PowerPoint (Microsoft Corp., Redmond, WA) based on the “Up & Away” campaign. Key points of this educational intervention included the worsening epidemiology of pediatric poisonings, developmentally appropriate child behavior that results in poisonings, grandparents’ role in prevention, appropriate actions in case of a poisoning, and safe storage of medications. Individuals who participated in our cognitive debriefing were not eligible for inclusion in the larger study or data analysis. There were no significant changes to the survey or educational intervention after cognitive debriefing.

    After validation of the study materials, additional participants were recruited and convened in small groups of 2-12 participants. During the one hour session, they completed the pre-intervention survey, participated in the educational intervention led by one of the study authors (JW or MA), and completed the immediate post-intervention survey. Incentives included a free meal during the session, a child-based poisoning prevention activity book, and a magnet with the phone number for the local poison control center.

    Participants completed a delayed post-intervention survey via phone 50-90 days after the educational intervention. Follow-up was conducted by a research assistant as a blinded surveyor to add to the study design. Three attempts were made to contact Participants via telephone followed by two e-mails, each separated by 48-72 hours. Participants who did not respond within 90 days of enrollment were considered lost to follow up.

    Unsafe storage of medication at either the grandparents’ home or the grandchild’s home was the primary outcome variable of interest. Storage sites were classified as unsafe if they met any of the criteria found in Table 1. The survey specifically queried medication storage in the kitchen, bathroom, and bedroom in the grandparents’ and grandchildren’s’ homes; there was also a free response section for other potential storage sites in each room and to account for other potential locations within the homes (i.e., linen closet). Handwritten responses were analyzed independently by three authors (MA, DT, JW) and dichotomized as either safe or unsafe with simple majority determining categorization. If insufficient detail was provided, responses were categorized as unsafe. A group of five questions related to basic poisoning prevention knowledge was a secondary variable of interest, described in Table 2. All responses were analyzed in a dichotomous fashion.

    Table 1. Criteria for safe versus unsafe storage
    Unsafe storage defined as:
    1. Medicines in the kitchen NOT stored in cabinet above countertop OR NOT in drawer/cabinet secured with child safety lock.
    2. Medicines in the bathroom NOT stored in cabinet above countertop OR NOT in drawer/cabinet secured with child safety lock.
    3. Medicines in the bedroom NOT stored on shelving or surface above shoulder level OR NOT in drawer/cabinet secured with child safety lock.
    4. Handwritten responses indicating storage is on shelving located at surface or below shoulder level OR NOT in drawer/cabinet secured with child safety lock. OR responses without adequate detail to determine safe storage
     | Show Table
    DownLoad: CSV
    Table 2. Criteria for safe versus unsafe storage
    All tested questions were statistically significant with p < 0.0125 corrected for multiple testing.
    Before Intervention Immediately After
    Intervention
    Delayed 50-90 Days After Intervention OR for Delayed (95% CI)
    “Poisoning in young children is becoming a bigger problem.” 76% 98% 95% 7.3 (2.2-38.3)
    “A child-resistant container means it is completely child-proof.” 77% 93% 94% 16.0 (2.5-671.0)
    “One pill of a medicine can kill a child.” 82% 92% 99% 15.0 (2.3-631.5)
    “If you think a child may have gotten into a medicine AND they do not have any symptoms, the best thing to do is”
    Call RN/MD 7% 0% 0%
    Call poison control 76% 96% 91%
    Call 9-1-1 8% 3% 5%
    Go to ER/Urgent Care 8% 2% 4%
    “Do you have the Poison Center number readily available?” 37% 95% 57.0 (9.8-2290.4)
     | Show Table
    DownLoad: CSV

    Other independent variables collected related to baseline demographics, interactions with grandchildren, and medication usage. Collected demographics included age, gender, race, and level of education. Given participant characteristics, race was analyzed as a dichotomous value between white and non-white. Education was assessed primarily related to the possession of a clinical degree for potential bias indication. Number of grandchildren 5-years-old or younger per participant was analyzed to determine a mean number and range of children per participant. Co-residence with a grandchild was analyzed as a dichotomous value. Frequency of visitation with grandchildren was dichotomized to at least weekly versus less frequent interaction. The number of medications taken daily, medicines in the participant’s residence, and use of specific storage devices (pill organizers, sandwich baggies, exclusive storage in pill bottles) were analyzed as multiple, mutually exclusive categories. Traveling with medicine, prior experiences with a poisoning, and intent to change medication storage habits were evaluated as dichotomous variables.

    Prior literature suggested that 20% of our cohort would store medication safely before the educational intervention [10]. A sample size of 400 participants would allow for a 25% loss to follow up while allowing this study to demonstrate a 50% improvement in medication storage with 80% power and a set alpha of 0.05. Calculated a priori, even with a sample size of 100, this study could detect at least a 90% improvement in medication storage.

    Data collected from the pre-intervention survey, immediate post-intervention survey, and delayed post-intervention survey were entered into an Excel (Microsoft Corp. Redmond, WA) spreadsheet, then transferred to a STATA (StataCorp, College Station, TX) database for analysis. We conducted descriptive statistical analysis on baseline demographics and used the Chi-Squared McNemar’s Test to assess for differences in safe storage before and after the intervention. Results are reported as frequencies and odds ratios with associated 95% confidence intervals. This methodology was also used to analyze secondary outcomes including changes in poisoning prevention knowledge across all 3 survey time-points and changes in safe storage in individual locations (ex: participants’ homes, grandchildren’s homes, participants’ kitchen, etc). Bonferroni correction was applied whenever there was multiple testing.

    3. Results

    Over 6 months, 120 participants were enrolled; and 95 (79%) of these participants responded to the delayed post-intervention survey 50‒90 days later. There were no significant differences between those who enrolled in the study and those who completed the protocol. The participants were predominantly Caucasian (76%) and female (93%) with most having education beyond high school (89%). Fifty percent had clinical degrees, and there were no physicians. Sixty-two percent of participants had weekly or more frequent interactions with their grandchildren in their own home versus 44% in the grandchild’s home; 18% resided with a grandchild. Twenty-eight percent of participants took more than 5 different medications daily, and 57% of participants had more than 10 medicine bottles in their home. Fifty-one percent of participants used pill organizers and 71% regularly traveled with medicine on their person (i.e., in a pocketbook). Additionally, 71 participants endorsed taking medicines with them to a grandchild’s home. (Table 3)

    Table 3. Demographics/Grandchild Interactions/ Medication Use and Storage of Recruited Participants
    All participants, N = 120
    Age (years), mean, standard deviation 55.7, 6.4
    Female 111/120 93%
    White race 91/120 76%
    Education * multiple degrees were indicated by some clinical added to college attainment.
    General Educational Development/high school diploma 13/120 11%
    Some college, no degree 35/120 29%
    Associate degree 17/120 14%
    College degree 33/120 28%
    Post-graduate degree 22/120 18%
    Clinical degree (Registered Nurse, Pharmacy Tech, etc.) 60/120 50%
    Grandchild interactions
    Grandchildren/participant, mean, range 1.9, 1-7
    Resides with grandchild 21/119 18%
    At least weekly grandchild visitation in own home 73/118 62%
    At least weekly grandchild visitation in grandchild’s home 50/114 44%
    Medication availability
    Medicines taken daily
    1-2 different medicines 38/109 35%
    3-5 different medicines 41/109 38%
    6-10 different medicines 26/109 24%
    11+ different medicines 4/109 4%
    Medicine bottles in home
    1-2 bottles 5/118 4%
    3-5 bottles 19/118 16%
    6-10 bottles 27/118 23%
    11-15 bottles 31/118 26%
    16+ bottles 36/118 31%
    Storage devices
    Uses pill organizers for medicines 61/119 51%
    Uses baggies for medicines 7/119 6%
    Exclusive storage of medicines in pill bottles 51/119 43%
    Travels with medicine 80/112 71%
    Medication Storage
    In own home
    Kitchen 95/120 79%
    Bathroom 73/120 61%
    Bedroom 39/117 33%
    In grandchild's home
    Kitchen 71/108 66%
    Bathroom 90/108 83%
    Bedroom 68/107 64%
    Prior experience with a poisoning 21/119 18%
    Expressed intent to change storage on immediate post-intervention survey 107/120 89%
     | Show Table
    DownLoad: CSV

    At the time of enrollment, 23% of participants reported criteria for safe storage in both locations of their own homes and in their grandchildren’s homes (Tables 4 and 5). When assessed 50-90 days after the intervention, safe storage was improved to 48% (p < 0.0001). Post-intervention, grandparents were more likely to report safe medication storage at both their home and their grandchild’s home as compared to pre-intervention. There was statistically significant improvement in reported medication storage overall in the participants’ homes (p < 0.0001) and grandchildren’s homes (p = 0.0003). Participants reported statistically significant improvements in safe storage in their own homes in the kitchen (p < 0.0001), bathroom (p < 0.0003), and bedroom (p = 0.0006). Notably, the only room in grandchildren’s homes with statistically significant improvement in reported safe storage was the bedroom (p = 0.0093) compared to the kitchen (p = 0.2752) and bathroom (p = 0.0956). Seventy-four of 95 (78%) participants who completed the post-intervention survey reported at least one positive change in medication storage, defined as reporting the movement from unsafe categorization to safe categorization in at least one room (i.e., the grandchild’s kitchen). Moving medicines from a countertop to shelving above shoulder level was a commonly noted improvement in over 30 participants; 21 participants also noted storage of medicines in locked vehicles when visiting grandchildren. Interestingly, 40 participants reported medication storage in a purse; this does not include related mentions of storage in luggage, gym bags, golf bags, suitcases, and carry-ons. Participants also demonstrated significant acquisition of basic poisoning prevention knowledge (Table 2) in all queried domains in both the immediate and delayed post-intervention surveys.

    Table 4. Safety of Medication Storage in Participants' Homes
    Pre-Intervention Safe Storage

    Delayed Post-Intervention
    Safe Storage
    P-value
    ALL Locations* 23% 48% < 0.0001
    Participants' Home* 38% 67% < 0.0001
    Kitchen* 69% 91% < 0.0001
    Bathroom* 80% 94% = 0.0003
    Bedroom* 78% 91% = 0.0006
    *Indicates statistically significant p < 0.0055, corrected for multiple testing
     | Show Table
    DownLoad: CSV
    Table 5. Safety of Medication Storage in Grandchildren's Homes
    *Indicates statistically significant p < 0.0055, corrected for multiple testing
    **Delayed post-intervention data on bedroom storage was missing from one participant
    Pre-Intervention Safe Storage

    Delayed Post-Intervention
    Safe Storage
    P-value
    Grandchild's Home* 43% 58% = 0.0003
    Kitchen 80% 80% = 0.2752
    Bathroom 92% 97% = 0.0956
    Bedroom** 78% 89% = 0.0093
     | Show Table
    DownLoad: CSV

    4. Discussion

    In this study, an educational intervention resulted in a reported doubling of safe medication storage among grandparents with active visitation with grandchildren ages 5-years-old or younger 50‒90 days after the intervention. Statistically significant improvement in medication storage was reported overall as well as in the grandparents’ and the grandchildren’s homes; however, changes were more robust in the grandparents’ home. This may reflect a greater ability to control one’s own environment or a greater investment in one’s own home. While 48% of participants ultimately met criteria for safe storage of medication in all locations, nearly 80% of participants reported some level of positive change with regards to medication storage. While poisoning prevention knowledge was already robust in our participants, perhaps secondary to recruitment from employees in a healthcare setting, this was further enhanced and retained 1-3 months after the intervention.

    Pediatric exposures are increasing [1,2,28]; based on the aging population, rising use of prescription medications [3,29], and increasing interactions between grandparents and grandchildren, grandparents may be a contributing factor [30,31]. Data analysis from the United States Consumer Product Safety Commission’s National Electronic Injury Surveillance System implicated grandparents as the source of a medicine related poisoning resulting in an emergency evaluation in 38% of cases [32]; this is further supported by the strong correlation between pediatric poisonings with the increasing use of prescription medicines in adults [4]. Additionally, grandparents are likely missing injury prevention messages delivered during routine health care exchanges or relying on older injury prevention messages and parenting memories rather than current recommendations [9,31,33]. Thus, effective, grandparent-targeted interventions, such as the educational intervention in this study, may contribute to the reduction of harmful pediatric poisonings. Besides community based programs for education, which this study shows may receive less than optimal attendance, healthcare providers may look to this educational material for their patients to provide some education, since patients presenting with a possible pediatric poisoning, have not in the past received poison prevention materials [33].

    Prior studies suggest that education can improve knowledge and potential behavior change regarding safe medication storage and poisoning prevention knowledge among families and even children; yet many of these older studies are compromised by outdated recommendations and in specific environments requiring extensive resources. Additionally, no studies to date have evaluated the impact of an educational intervention targeted at grandparents. The strength of this study lies in the use of an educational intervention that can be delivered in multiple settings using current technology and recommendations while impacting a specific target population, grandparents. For example, participants were encouraged to make use of their current technology by programming the poison control center number into their cell phones. This study also provides further knowledge regarding grandparent-grandchild interaction, such as frequency of visits, as well as medication storage habits. In fact, nearly 20% of our participants reported co-residence with a grandchild 5-years-old or younger, representing constant exposure to a poisoning source.

    A fifteen minute educational intervention is a bit long considering possible embedment of messages during clinical encounters, grandparent classes, and other venues; however, even 5-minutes of education regarding poisoning prevention may be effective, and further study of a potentially further shortened intervention is warranted [14]. Studies have demonstrated that brief poisoning prevention videos and use of a computer based kiosk on injury prevention while families wait for medical care effectively improve knowledge and could serve as a model for future study of this “Up & Away” educational intervention [22,34,35]. Targeting adults who are filling prescriptions for medicines that may be lethal in small doses may also be efficacious, as pharmacists infrequently advise older adults about poisoning prevention [36]. While costly, a public relations outreach may also be efficacious as demonstrated in a regional poison control center study [37]. Community volunteers may even be useful in further up scaling of this intervention with minimal training as documented in other injury prevention initiatives [15,25].

    Thus, further study of the “Up & Away” educational intervention is merited - in various settings, in abbreviated format, and with varying target populations. Qualitative data and comments from the cognitive debriefing and formal study provide insight in how best to simplify this educational intervention. For example, at least 40 unique participants identified storing medicines in a pocketbook equivalent, not inclusive of related traveling bags; discussion about purses as a potential source of poisoning seemed to resonate with many participants who had not previously considered this. Additionally, while participants were aware of poison control centers, many did not have the number readily available; yet many were noted to promptly program the number into their cell phones when suggested by the educational intervention. Other particularly impactful motivators of change included discussion of child development, inability to distinguish between candy and medicine, lethality of some pills in single doses, and discussion of how child resistant containers are not child proof.

    A major limitation of this study is that participants came from a sample unrepresentative of the general US population of grandparents given their ongoing employment in a health care setting; further study among varied populations is certainly warranted. Additionally, a larger sample size would allow for further sub-group analysis. However, this highly motivated sample that may arguably possess better than average health literacy still demonstrated a statistically significant improvement in their medication storage and poisoning prevention knowledge. Reliance on volunteers may have resulted in recruitment of participants that were already highly motivated to make changes to positively impact their grandchildren. Also, while positive changes in medication storage were demonstrated 50-90 days after the intervention, these health behavior changes and improvements in basic poisoning prevention knowledge may decline over time. Finally, it is unclear whether behavior change in safe medication storage translates into reduced pediatric poisonings from medicines. However research suggests proving an intervention makes a statistically significant impact on pediatric poisoning exposures would require over 21, 500 person-years per arm [16].

    Data analysis relied upon self-reported survey responses, making this study prone to recall bias and social desirability bias. However, verifying storage of medicines with home visits would have been cost- and time-prohibitive, yet still fraught with the potential for participants to alter medication storage in anticipation of a study coordinator’s visit. Additionally, studies have found high positive predictive values for the safe storage of medication as reported on a survey and subsequently validated on a home visit, suggesting that home visits may add less value than assumed [38,39]. There may have been a potential bias as well if the 79% of participants who completed the delayed post-intervention survey were more proactive than those who did not follow up. However, basic demographics did not demonstrate any statistically significant difference between the two groups and we used a robust methodology to retain and contact participants as described in our protocol.

    5. Conclusion

    The growing burden of pediatric poisonings from medicines requires further efforts from the public health community to address this worsening problem. This study suggests that a simple, brief, easily reproducible educational intervention based on current recommendations and technology can significantly improve medication storage and basic knowledge regarding poisonings in grandparents of young children and serve as a valuable piece of poisoning prevention along with other measures, such as child-resistant packaging. There are many possibilities for further study and deployment of this educational intervention based on the PROTECT initiative’s “Up & Away” campaign.

    Acknowledgments

    Authors acknowledge the financial support of the John Marx Fund at Carolinas HealthCare System.

    Conflict of Interest

    All Authors report no conflicts of interest related to this research or publication.

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