Quantifying and Understanding Glaucoma Eye Drop Medication Instillation and Adherence
Project Number5R01EB032328-03
Contact PI/Project LeaderNEWMAN-CASEY, PAULA ANNE Other PIs
Awardee OrganizationUNIVERSITY OF MICHIGAN AT ANN ARBOR
Description
Abstract Text
PROJECT ABSTRACT
Despite the availability of effective treatments, glaucoma remains the leading cause of irreversible blindness
among African American adults and the second leading cause of irreversible blindness in the United States.
Non-adherence to daily prescribed eye drop medications – the treatment for 89% of glaucoma patients - is a
key modifiable driver of vision loss in glaucoma. In current practice, patients are diagnosed with glaucoma and
simply given a prescription, with only 1 in 8 prescribing physicians teaching patients how to use eye drops.
40% of glaucoma patients do not take their daily eye drop medication according to the prescribed schedule.
20% of glaucoma patients do not succeed in getting drops into their eyes. Glaucoma primarily affects older
adults who may have aging-related sensorimotor deficits that impair successful medication instillation. Our
long term goal is to develop a comprehensive system to monitor medication use, quantify whether
administered drops are successfully delivered, communicate usage data to the patient’s health care team, and
coach each patient on how to use their eye drop medications. Our central hypothesis is that by identifying the
biomechanical and sensorimotor factors associated with eye drop instillation success – whether a drop gets in
the eye – we can develop more effective, personalized intervention strategies to improve medication
adherence and increase instillation success. Our overall objectives are to: 1) use motion sensors that
measure the biomechanical movement of instilling eye drops, together with tests of sensorimotor abilities, to
identify factors that result in successful eye drop instillation success among older adults; and 2) use input from
older participants to design a comprehensive, simple, and user-friendly Eye Drop Adherence Monitoring
System (EAMS). The EAMS will consist of a low-power, portable, on-bottle sensor and a cellular-linked
communication base station to identify remotely when an eye drop was dispensed and record the probability of
successful instillation. The EAMS will also integrate a personalized text message program tailored to individual
adherence levels. Following development, we will test the EAMS to assess the agreement between EAMS
classification of an eye drop use event and eye drop instillation success and an eye drop use diary and video-
recorded eye drop instillation. We will assess the acceptability of the system among a sample of glaucoma
patients through qualitative interviews. Impact: Our interdisciplinary team will gain and share new knowledge
about the biomechanics of eye drop instillation and the impact of the sensorimotor deficits of aging on eye drop
medication use. This knowledge will inform the development of a scalable Eye Drop Adherence Monitoring
System (EAMS) that can be used clinically to improve the effectiveness of glaucoma care in preventing vision
loss. This tool will be able to assess adherence to eye drop medications in both the clinical and research
settings. A deeper understanding will inform patient-centered approaches to self-management support and aid
in closing outcomes disparities in glaucoma – and every other condition needing eye drop medications.
Public Health Relevance Statement
PROJECT NARRATIVE
To preserve their vision, glaucoma patients must take daily eye drop medications; and yet, 40% of patients do
not do this, and 20% are unable to successfully instill the drops into their eyes. We will quantify and understand
the movement factors influencing eye drop instillation success and use this information to inform the
development of a scalable Eye Drop Adherence Monitoring System that measures each time eye drops are
dispensed and whether the drops are successfully instilled into the eye. Accurate monitoring of eye drop
adherence is an essential step towards providing effective support for people to self-manage their glaucoma.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AdherenceAdultAffectAfrican AmericanAfrican American populationAgeAgingAgreementAlgorithmsAmericanBehaviorBiomechanicsBlindnessCaringCellular PhoneClassificationClinicalCommunicationComputersControlled EnvironmentDataDevelopmentDiagnosisDiscriminationDropsEducational process of instructingEffectivenessElderlyEngineeringEventEyeEyedropsFeedbackGlaucomaGoalsHand functionsHeadHomeImpairmentIndividualInterventionInterviewKnowledgeLimb structureLinkMachine LearningMeasuresMedical Care TeamMonitorMovementParticipantPatientsPersonsPharmaceutical PreparationsPhysiciansPopulationPositioning AttributePosturePredictive FactorProbabilityProprioceptionProviderResearchSamplingScheduleSelf ManagementSystemTactileTestingTextText MessagingTimeUnited StatesVideo RecordingVisionWorkacceptability and feasibilitybasebody positiondata communicationdesigndiarieseffective therapyethnic minorityimprovedintrinsic motivationlow socioeconomic statusmedication compliancemicrosensormotion sensornoveloutcome disparitiespatient orientedperformance testspersonalized interventionportabilitypower consumptionpreservationpreventprogramsprototyperacial minoritysensorsensor technologysuccesstext messaging interventiontoolusabilityuser centered designuser-friendlywearable sensor technology
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
073133571
UEI
GNJ7BBP73WE9
Project Start Date
01-July-2022
Project End Date
31-March-2026
Budget Start Date
01-April-2024
Budget End Date
31-March-2025
Project Funding Information for 2024
Total Funding
$546,701
Direct Costs
$392,157
Indirect Costs
$154,544
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Biomedical Imaging and Bioengineering
$546,701
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R01EB032328-03
Publications
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Patents
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
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Clinical Studies
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History
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