Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties
Abstract BackgroundA smart medication dispenser called “spencer” is a novel generator of longitudinal survey data. The patients dispensing medication act as a survey panel and respond to questions about quality of life and patient-reported outcomes. ObjectivesOur g...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-02-01
|
| Series: | JMIR Human Factors |
| Online Access: | https://humanfactors.jmir.org/2025/1/e60438 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823858056645050368 |
|---|---|
| author | Benjamin Ogorek Thomas Rhoads Erica Smith |
| author_facet | Benjamin Ogorek Thomas Rhoads Erica Smith |
| author_sort | Benjamin Ogorek |
| collection | DOAJ |
| description |
Abstract
BackgroundA smart medication dispenser called “spencer” is a novel generator of longitudinal survey data. The patients dispensing medication act as a survey panel and respond to questions about quality of life and patient-reported outcomes.
ObjectivesOur goal was to evaluate panel persistency, survey response rates, reliability, and validity of surveys administered via spencer to 4138 polychronic patients residing in the United States and Canada.
MethodsPatients in a Canadian health care provider’s program were included if they were dispensing via spencer in the June 2021 to February 2024 time frame and consented to have their data used for research. Panel persistency was estimated via discrete survival methods for 2 years and survey response rates were computed for 1 year. Patients were grouped by mean response rates in the 12th month (<90% vs ≥90%) to observe differential response rate trends. For reliability and validity, we used a spencer question about recent falls with ternary responses value-coded −1, 0, and 1. For reliability, we computed Pearson correlation between mean scores over 2 years of survey responses, and transitions between mean score intervals of [0, 0.5), [−0.5, 0.5), and [0.5, 1]. For validity, we measured the association between the falls question and known factors influencing fall risk: age, biological sex, quality of life, physical and emotional health, and use of selective serotonin reuptake inhibitors or serotonin-norepinephrine reuptake inhibitors, using repeated-measures regression for covariates and Kendall τ for concomitant spencer questions.
ResultsFrom 4138 patients, dispenser persistency was 68.3% (95% CI 66.8%‐69.8%) at 1 year and 51% (95% CI 49%‐53%) at 2 years. Within the cohort observed beyond 1 year, 82.3% (1508/1832) kept surveys enabled through the 12th month with a mean response rate of 84.1% (SD 26.4%). The large SD was apparent in the subgroup analysis, where a responder versus nonresponder dichotomy was observed. For 234 patients with ≥5 fall risk responses in each of the first 2 years, the Pearson correlation estimate between yearly mean scores was 0.723 (95% CI 0.630‐0.798). For mean score intervals [0, 0.5), [−0.5, 0.5), and [0.5, 1], self-transitions were the most common, with 59.8% (140/234) of patients starting and staying in [0.5, 1]. Fall risk responses were not significantly associated with sex (PPP
ConclusionsA smart medication dispenser, spencer, generated years of longitudinal survey data from patients in their homes. Panel attrition was low, and patients continued to respond at high rates. A fall risk measure derived from the survey data showed evidence of reliability and validity. An alternative to web-based panels, spencer is a promising tool for generating patient real-world data. |
| format | Article |
| id | doaj-art-80dba9fe42944f6e864f4b7a623afa96 |
| institution | Kabale University |
| issn | 2292-9495 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Human Factors |
| spelling | doaj-art-80dba9fe42944f6e864f4b7a623afa962025-02-11T16:02:49ZengJMIR PublicationsJMIR Human Factors2292-94952025-02-0112e60438e6043810.2196/60438Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric PropertiesBenjamin Ogorekhttp://orcid.org/0009-0004-5965-3097Thomas Rhoadshttp://orcid.org/0009-0002-6609-2721Erica Smithhttp://orcid.org/0009-0006-0477-2050 Abstract BackgroundA smart medication dispenser called “spencer” is a novel generator of longitudinal survey data. The patients dispensing medication act as a survey panel and respond to questions about quality of life and patient-reported outcomes. ObjectivesOur goal was to evaluate panel persistency, survey response rates, reliability, and validity of surveys administered via spencer to 4138 polychronic patients residing in the United States and Canada. MethodsPatients in a Canadian health care provider’s program were included if they were dispensing via spencer in the June 2021 to February 2024 time frame and consented to have their data used for research. Panel persistency was estimated via discrete survival methods for 2 years and survey response rates were computed for 1 year. Patients were grouped by mean response rates in the 12th month (<90% vs ≥90%) to observe differential response rate trends. For reliability and validity, we used a spencer question about recent falls with ternary responses value-coded −1, 0, and 1. For reliability, we computed Pearson correlation between mean scores over 2 years of survey responses, and transitions between mean score intervals of [0, 0.5), [−0.5, 0.5), and [0.5, 1]. For validity, we measured the association between the falls question and known factors influencing fall risk: age, biological sex, quality of life, physical and emotional health, and use of selective serotonin reuptake inhibitors or serotonin-norepinephrine reuptake inhibitors, using repeated-measures regression for covariates and Kendall τ for concomitant spencer questions. ResultsFrom 4138 patients, dispenser persistency was 68.3% (95% CI 66.8%‐69.8%) at 1 year and 51% (95% CI 49%‐53%) at 2 years. Within the cohort observed beyond 1 year, 82.3% (1508/1832) kept surveys enabled through the 12th month with a mean response rate of 84.1% (SD 26.4%). The large SD was apparent in the subgroup analysis, where a responder versus nonresponder dichotomy was observed. For 234 patients with ≥5 fall risk responses in each of the first 2 years, the Pearson correlation estimate between yearly mean scores was 0.723 (95% CI 0.630‐0.798). For mean score intervals [0, 0.5), [−0.5, 0.5), and [0.5, 1], self-transitions were the most common, with 59.8% (140/234) of patients starting and staying in [0.5, 1]. Fall risk responses were not significantly associated with sex (PPP ConclusionsA smart medication dispenser, spencer, generated years of longitudinal survey data from patients in their homes. Panel attrition was low, and patients continued to respond at high rates. A fall risk measure derived from the survey data showed evidence of reliability and validity. An alternative to web-based panels, spencer is a promising tool for generating patient real-world data.https://humanfactors.jmir.org/2025/1/e60438 |
| spellingShingle | Benjamin Ogorek Thomas Rhoads Erica Smith Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties JMIR Human Factors |
| title | Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties |
| title_full | Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties |
| title_fullStr | Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties |
| title_full_unstemmed | Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties |
| title_short | Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties |
| title_sort | collecting real world data via an in home smart medication dispenser longitudinal observational study of survey panel persistency response rates and psychometric properties |
| url | https://humanfactors.jmir.org/2025/1/e60438 |
| work_keys_str_mv | AT benjaminogorek collectingrealworlddataviaaninhomesmartmedicationdispenserlongitudinalobservationalstudyofsurveypanelpersistencyresponseratesandpsychometricproperties AT thomasrhoads collectingrealworlddataviaaninhomesmartmedicationdispenserlongitudinalobservationalstudyofsurveypanelpersistencyresponseratesandpsychometricproperties AT ericasmith collectingrealworlddataviaaninhomesmartmedicationdispenserlongitudinalobservationalstudyofsurveypanelpersistencyresponseratesandpsychometricproperties |