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Does pain take holidays? Non-attendance rates at a hospital-based pain clinic are elevated during the Jewish high-holidays

Overview of attention for article published in Israel Journal of Health Policy Research, March 2017
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Title
Does pain take holidays? Non-attendance rates at a hospital-based pain clinic are elevated during the Jewish high-holidays
Published in
Israel Journal of Health Policy Research, March 2017
DOI 10.1186/s13584-017-0132-9
Pubmed ID
Authors

Motti Ratmansky, Nitzan Hai, Tzion Schlossberg, Aviva Mimouni-Bloch, Avraham Schweiger

Abstract

Patient non-attendance is an expensive and persistent problem worldwide with rates between 5-39% reported in the literature. The objective of the study was to assess whether there is a higher incidence of non-attendance in a hospital-based pain clinic during the period of the Jewish High Holidays (Rosh-Hashanah to Sukkot) and whether this is further compounded by other factors, such as demographic characteristics and previous visits to the clinic. Records were taken from the Lowenstein Rehabilitation Hospital appointment scheduling system. Data was gathered from two time-periods: High-Holidays and Control for each year, over a total of 6 years 2008-2013. Non-attendance was analyzed by period, by age, by gender and by previous visits to the clinic. In the entire population studied (666 distinct records), the non-attendance rate was higher during the High-Holidays as compared to the Control period (32 vs. 24.1%; p = 0.030). Non-attendance rates were significantly higher during the Holidays among repeating patients (28.6 vs. 14.8%; p = 0.002) and among women (34.6 vs. 20.7%; p = 0.004). Our data suggest that non-attendance is elevated during the High-Holidays in specific groups of patients, namely, repeating patients and women. Despite no direct inquiry into the reasons for non-attendance, we speculate that the elevated well-being and familial support during the holidays contribute to the patients' ability to cope with persistent pain and possibly directly reduce the amount of pain, leading to patients missing their pain clinic appointments. Our results, provided they can be corroborated by larger-scale studies, can assist in scheduling policy adjustments such as avoidance of appointments during the High-holidays for specific patient populations and more rigorous reminder efforts during these times of the year that may lead to reduction in overall non-attendance rates in the pain clinic. Further, our data provide an impetus for further studies of non-attendance patterns among pain clinic patients, in order to acquire a better understanding of the reasons for non-attendance and develop strategies to reduce it and thus contribute to the continuous improvement of the Israeli health systems as well as others worldwide.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 20%
Student > Bachelor 4 16%
Student > Doctoral Student 3 12%
Researcher 2 8%
Other 1 4%
Other 1 4%
Unknown 9 36%
Readers by discipline Count As %
Psychology 4 16%
Nursing and Health Professions 2 8%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 1 4%
Economics, Econometrics and Finance 1 4%
Other 3 12%
Unknown 12 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2017.
All research outputs
#20,412,387
of 22,962,258 outputs
Outputs from Israel Journal of Health Policy Research
#492
of 578 outputs
Outputs of similar age
#269,726
of 309,402 outputs
Outputs of similar age from Israel Journal of Health Policy Research
#12
of 18 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.