2021
DOI: 10.1097/aud.0000000000001032
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A Measure of Long-Term Hearing Aid Use Persistence Based on Battery Reordering Data

Abstract: Objective: We describe the construction of a hearing aid long-term use persistence measure based on battery reorder data. The measure is derived from the notion that hearing aid users keep using their devices for some time after placing a battery order. Design: A hearing aid user is defined as persistent at time T if they placed a battery order within a time span W preceding T . We characte… Show more

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Cited by 9 publications
(12 citation statements)
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“…Due to the nature of our dataset, we had to evaluate hearing-aid use persistence at slightly different timepoints in the two analyses, introducing an arbitrary bias. However, analyses on a superset of the present dataset show that hearing-aid use persistence is very stable from about 2 years after hearing-aid fitting onwards [20].…”
Section: Strengths and Limitationsmentioning
confidence: 55%
See 1 more Smart Citation
“…Due to the nature of our dataset, we had to evaluate hearing-aid use persistence at slightly different timepoints in the two analyses, introducing an arbitrary bias. However, analyses on a superset of the present dataset show that hearing-aid use persistence is very stable from about 2 years after hearing-aid fitting onwards [20].…”
Section: Strengths and Limitationsmentioning
confidence: 55%
“…A binary proxy variable indicating whether hearing-aid use remained persistent at 3.5 years post hearing-aid fitting was determined for each patient based on their history of hearing-aid battery orders, according to our previously published derivation [20]. In brief, a hearing-aid user is deemed to remain persistent at time t if they have ordered a pack of batteries within the 18-month period leading up to t. VA provides enough batteries in each pack for 6 months of full-time use; hence, 'persistence' corresponds roughly to continued use at several hours per day.…”
Section: Variables and Analysismentioning
confidence: 99%
“…Third, due to the nature of our dataset we had to evaluate HA use persistence at slightly different timepoints in the two analyses, introducing an arbitrary bias. However, analyses on a superset of the present dataset show that HA use persistence is very stable from about 2 years after HA fitting onwards (Zobay et al, 2021). Fourth, by requiring survival to 2017/12/31 we could also have introduced some distortion of the observed effects, since dementia is independently associated with excess mortality (Todd et al, 2013).…”
Section: Strengths and Limitationsmentioning
confidence: 78%
“…A binary proxy variable indicating whether HA use remained persistent at 3y6m post HA fitting was determined for each patient based on their history of HA battery orders, according to our previously published derivation (Zobay et al, 2021). In brief, a HA user is deemed to remain persistent at time t if they have ordered a pack of batteries within the 18-month period leading up to t .…”
Section: Methodsmentioning
confidence: 99%
“…For example, Solheim and Hickson (2017) reported a mean of 8.4 and 6.1 h for self-report and data logging, respectively. A possible alternative to measuring hearing aid use by data logging is to measure persistence through requests for supply of batteries (Zobay et al, 2021). Future measures may also be able to tap into usefulnessthe desired outcome for which use and persistence are surrogates.…”
Section: Objective Versus Subjective Outcomesmentioning
confidence: 99%