Pain intensity characteristics of referrals to national dementia behavior support programs in Australia
BACKGROUND: Recognizing pain in people with advanced dementia who cannot effectively communicate is difficult. As such, pain is underdetected and undermanaged in this group and can lead to behaviors and psychological symptoms of dementia, impaired quality of life, and significant caregiver distress....
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
2021
|
| Online Access: | http://hdl.handle.net/20.500.11937/88397 |
| _version_ | 1848765015721508864 |
|---|---|
| author | Atee, Mustafa Lloyd, R.V. Morris, T. Cunningham, C. |
| author_facet | Atee, Mustafa Lloyd, R.V. Morris, T. Cunningham, C. |
| author_sort | Atee, Mustafa |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | BACKGROUND: Recognizing pain in people with advanced dementia who cannot effectively communicate is difficult. As such, pain is underdetected and undermanaged in this group and can lead to behaviors and psychological symptoms of dementia, impaired quality of life, and significant caregiver distress. Further, little is known about the clinical experience of pain intensity in dementia. This study aims to describe the pain intensity characteristics of referrals to Dementia Support Australia, a national dementia-specific behavior support program in Australia.
METHODS: Pain in a sample of referrals (period: January-November 2020) was evaluated during various activities (rest vs movement) using PainChek® , a medical device application (app)(Figure 1) linked to a web admin portal (WAP)(Figure 2) for non-verbal adults including those living with dementia. PainChek® consists of six domains (Face, Voice, Movement, Behavior, Activity, and Body) that have collectively a total of 42 items. The PainChek® app uses artificial intelligence to detect pain-indicative facial action units (e.g., brow lowering) in combination with a digital checklist of non-facial indicators to produce a pain intensity score as follows: 0-6 (no pain), 7-11 (mild pain), 12-15 (moderate pain), ≥16 (severe pain). The difference in pain scores according to the activity status (rest vs movement) was computed using Cohen's d values (e.g., 0.01- <0.50: very small-to-small).
RESULTS: A sample of 75 referrals (84.2 ± 8.7 y, 50.6% male) from residential aged care homes were included in this study. A total of 79 pain assessments (rest n = 31, post-movement n = 44, not assigned n = 4) were completed for the sample. Most referrals had a diagnosis of Alzheimer's disease (n = 40, 50.6%), vascular dementia (n = 7, 8.9%) and mixed dementia (n = 8, 10.3%). Over one-third (n = 29, 36.7%) of the sample had mild pain whilst one-third (n = 26, 33%) had moderate-severe pain. Across the sample, four out of six domain scores (Face, Voice, Movement, Activity) were higher after movement compared to rest e.g., Voice (d = 0.34) and Behavior (d = 0.38).
CONCLUSION: Higher pain intensities are prevalent in referrals with dementia, particularly after movement-based activities, warranting the need for analgesic treatments. |
| first_indexed | 2025-11-14T11:28:32Z |
| format | Journal Article |
| id | curtin-20.500.11937-88397 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:28:32Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-883972022-05-13T07:55:54Z Pain intensity characteristics of referrals to national dementia behavior support programs in Australia Atee, Mustafa Lloyd, R.V. Morris, T. Cunningham, C. BACKGROUND: Recognizing pain in people with advanced dementia who cannot effectively communicate is difficult. As such, pain is underdetected and undermanaged in this group and can lead to behaviors and psychological symptoms of dementia, impaired quality of life, and significant caregiver distress. Further, little is known about the clinical experience of pain intensity in dementia. This study aims to describe the pain intensity characteristics of referrals to Dementia Support Australia, a national dementia-specific behavior support program in Australia. METHODS: Pain in a sample of referrals (period: January-November 2020) was evaluated during various activities (rest vs movement) using PainChek® , a medical device application (app)(Figure 1) linked to a web admin portal (WAP)(Figure 2) for non-verbal adults including those living with dementia. PainChek® consists of six domains (Face, Voice, Movement, Behavior, Activity, and Body) that have collectively a total of 42 items. The PainChek® app uses artificial intelligence to detect pain-indicative facial action units (e.g., brow lowering) in combination with a digital checklist of non-facial indicators to produce a pain intensity score as follows: 0-6 (no pain), 7-11 (mild pain), 12-15 (moderate pain), ≥16 (severe pain). The difference in pain scores according to the activity status (rest vs movement) was computed using Cohen's d values (e.g., 0.01- <0.50: very small-to-small). RESULTS: A sample of 75 referrals (84.2 ± 8.7 y, 50.6% male) from residential aged care homes were included in this study. A total of 79 pain assessments (rest n = 31, post-movement n = 44, not assigned n = 4) were completed for the sample. Most referrals had a diagnosis of Alzheimer's disease (n = 40, 50.6%), vascular dementia (n = 7, 8.9%) and mixed dementia (n = 8, 10.3%). Over one-third (n = 29, 36.7%) of the sample had mild pain whilst one-third (n = 26, 33%) had moderate-severe pain. Across the sample, four out of six domain scores (Face, Voice, Movement, Activity) were higher after movement compared to rest e.g., Voice (d = 0.34) and Behavior (d = 0.38). CONCLUSION: Higher pain intensities are prevalent in referrals with dementia, particularly after movement-based activities, warranting the need for analgesic treatments. 2021 Journal Article http://hdl.handle.net/20.500.11937/88397 10.1002/alz.058455 unknown |
| spellingShingle | Atee, Mustafa Lloyd, R.V. Morris, T. Cunningham, C. Pain intensity characteristics of referrals to national dementia behavior support programs in Australia |
| title | Pain intensity characteristics of referrals to national dementia behavior support programs in Australia |
| title_full | Pain intensity characteristics of referrals to national dementia behavior support programs in Australia |
| title_fullStr | Pain intensity characteristics of referrals to national dementia behavior support programs in Australia |
| title_full_unstemmed | Pain intensity characteristics of referrals to national dementia behavior support programs in Australia |
| title_short | Pain intensity characteristics of referrals to national dementia behavior support programs in Australia |
| title_sort | pain intensity characteristics of referrals to national dementia behavior support programs in australia |
| url | http://hdl.handle.net/20.500.11937/88397 |