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Letter to the Editor| Volume 145, P87-88, March 2021

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Authors’ response to Atee et al

  • Lihui Pu
    Correspondence
    Corresponding author at: Menzies Health Institute Queensland, Griffith University, 2.18 Health Sciences (N48), 170 Kessel Rd, Nathan, Brisbane, Queensland, 4111, Australia.
    Affiliations
    School of Nursing and Midwifery, Griffith University, Australia

    Menzies Health Institute Queensland, Griffith University, Australia
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  • Wendy Moyle
    Affiliations
    School of Nursing and Midwifery, Griffith University, Australia

    Menzies Health Institute Queensland, Griffith University, Australia
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  • Cindy Jones
    Affiliations
    Menzies Health Institute Queensland, Griffith University, Australia

    Faculty of Health Sciences & Medicine, Bond University, Australia
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  • Michael Todorovic
    Affiliations
    School of Nursing and Midwifery, Griffith University, Australia

    Menzies Health Institute Queensland, Griffith University, Australia
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      We thank you for the opportunity to respond to the comments raised in Atee et al.’s letter to the editor [
      • Atee M.
      • Morris T.
      • Macfarlane S.
      • Cunningham C.
      Comments on Pu , et al. (2020), "The effect of a social robot intervention on sleep and motor activity of people living with dementia and chronic pain: a pilot randomized controlled trial".
      ] and thank Mr Atee and his colleagues for their interest in our paper [
      • Corbett A.
      • Nunez K.-M.
      • Smeaton E.
      • Testad I.
      • Thomas A.J.
      • Closs S.J.
      • Briggs M.
      • Clifton L.
      • Gjestsen M.T.
      • Lawrence V.
      The landscape of pain management in people with dementia living in care homes: a mixed methods study.
      ].
      • 1)
        Mr Atee et al. are concerned about the confounding effect of prescribed psychotropic medications on sleep outcomes. In our paper, we had shown that participants’ medication usage, as measured by the Medication Quantification Scale-III (MQS-III), at baseline was similar in both the intervention and control groups (Table 1). While we acknowledge that medication can have an impact on both groups, in this instance we believe that medication use had minimal impacts on the study outcomes. However, future larger-scale studies should be mindful of this potential issue and, if necessary, appropriately adjust for its effect during data analysis.
        Table 1Demographics and medical conditions of participants with SenseWear data.
        Variables Control group (n = 20) Intervention group (n = 21) p value
        Age* 85.50 ± 6.02 86.48 ± 8.81 0.234
        86.5 (72, 93) 90 (65, 97)
        Gender
         Female 11 (55.0 %) 18 (85.7 %) 0.033
         Male 9 (45.0 %) 3 (14.3 %)
        Dementia subtypes 0.766§
         Alzheimer's disease 7 (35.0 %) 9 (42.9 %)
         Vascular dementia 3 (15.0 %) 2 (9.5 %)
         Frontal-temporal dementia 1 (5.0 %) 0 (0.0 %)
         Dementia unspecified 9 (45.0 %) 10 (47.6 %)
        Living unit 0.354
         Secure dementia unit 9 (45.0 %) 13 (61.9 %)
         Facility unit 11 (55.0 %) 8 (38.1 %)
        Facility room-type 1.000§
         Single room 18 (90.0 %) 18 (85.7 %)
         Shared room 2 (10.0 %) 3 (14.3 %)
        Activity level 0.280§
         Ambulatory 1 (5.0 %) 4 (19.0 %)
         Assistive devices 11 (55.0 %) 6 (28.6 %)
         Wheelchair 3 (15.0 %) 3 (14.3 %)
         Bedridden 5 (25.0 %) 8 (38.1 %)
        Walking exercise, yes 10 (50.0 %) 15 (71.4 %) 0.160
        Admission month* 33.2 ± 29.32 24.8 ± 23.68 0.449
        25 (3, 100) 16 (3, 99)
        MMSE* 11.55 ± 8.06 7.71 ± 7.84 0.114
        (0, 23) (0, 24)
        MMSE <11 9 (45.0 %) 15 (71.4 %) 0.086
        BMI* 25.10 ± 7.04 22.12 ± 4.93 0.134
        (16.4, 49.6) (11.83, 35.8)
        The intensity of pain 0.486§
        No pain 1 (5.0 %) 7 (33.3 %)
         Mild 8 (40.0 %) 6 (28.6 %)
         Moderate 11 (55.0 %) 7 (33.3 %)
         Severe 0 (0.0 %) 1 (4.8 %)
        Nurse-estimated pain score* 3.05 ± 2.09 3.24 ± 2.49 0.915
        3 (0, 8) 3 (0, 9)
        MQS score for medication* 14.54 ± 8.59 14.56 ± 7.86 0.896
        13.5 (2.2, 36.9) 12.4 (3.8, 33.7)
        Note. * values presented as Mean ± SD/median (range), Bold values are statistically significant (p < .05).
        Abbreviations: SD, Standard Deviation; MMSE, Mini-Mental State Examination; BMI, Body Mass Index; MQS, Medication quantification scale-III.
        value was calculated with Mann-Whitney U test.
        value was calculated by Chi-square test.
        §value was calculated by Fisher’s exact test.
        ||value was calculated with independent t-test.
      • 2)
        Mr Atee et al. raise concerns about the use of proxy pain assessments for the total sample, including those who might have had the ability to verbalize their pain experience, and about not using a validated pain assessment tool in the study. In this study, proxy assessments of pain (e.g., pain frequency, onset, intensity, locations, and nonpharmacological therapies) were collected through structured interviews with the nursing staff who had regular contact with the resident. This approach is considered to be an appropriate method to collect pain-related information for people with dementia [
        • Corbett A.
        • Nunez K.-M.
        • Smeaton E.
        • Testad I.
        • Thomas A.J.
        • Closs S.J.
        • Briggs M.
        • Clifton L.
        • Gjestsen M.T.
        • Lawrence V.
        The landscape of pain management in people with dementia living in care homes: a mixed methods study.
        ]. We do agree that self-reports should where possible be obtained from all participants, especially those with mild cognitive impairment [
        • Herr K.
        • Coyne P.J.
        • McCaffery M.
        • Manworren R.
        • Merkel S.
        Pain assessment in the patient unable to self-report: position statement with clinical practice recommendations.
        ]. However, most participants in this study had severe cognitive impairment, with an average MMSE score of 9.93 (±8.05), and data collection/analysis of the self-reported pain before and after each intervention session was not achievable. Moreover, there were also fluctuations in individuals’ ability to describe their pain level, even for those with mild cognitive impairment, and this resulted in a large amount of missing data in self-reported pain. Therefore, a decision was made to use the observational pain measurement - Pain Assessment in Advanced Dementia Scale (PAINAD), a valid observational pain assessment tool for people with advanced dementia [
        • Warden V.
        • Hurley A.C.
        • Volicer L.
        Development and psychometric evaluation of the pain assessment in advanced dementia (PAINAD) scale.
        ] - as the primary measurement of pain for all participants, and this allowed the total sample data to be included in the data analysis, which was reported as the primary outcome in our previously published paper [
        • Pu L.
        • Moyle W.
        • Jones C.
        • Todorovic M.
        The effect of using PARO for people living with dementia and chronic pain: a pilot randomized controlled trial.
        ].
      • 3)
        Mr Atee et al. question the definition of chronic pain used. We agree that the decision concerning whether or not someone with advanced dementia was in chronic pain could be contested. However, this is because the self-reporting of pain, which is the gold standard for pain assessment, is compromised in this group. In this study, residents with chronic pain were identified if they were prescribed regular pain medications or if there was an indication of pain from the staff, as surrogate measures of pain. We believe that these methods are reasonable in people with dementia who are considered to be experiencing chronic pain. Furthermore, all participants in this study had experienced chronic pain (> 3 months) and had at least one pain-related condition (osteoarthritis, fracture/fall, low back pain and stroke, etc.). As the objective of this study was focused on the secondary outcomes of sleep and motor activity, pain-related information was reported in the previously published paper [
        • Pu L.
        • Moyle W.
        • Jones C.
        • Todorovic M.
        The effect of using PARO for people living with dementia and chronic pain: a pilot randomized controlled trial.
        ].
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      References

        • Atee M.
        • Morris T.
        • Macfarlane S.
        • Cunningham C.
        Comments on Pu , et al. (2020), "The effect of a social robot intervention on sleep and motor activity of people living with dementia and chronic pain: a pilot randomized controlled trial".
        Maturitas. 2020;
        • Corbett A.
        • Nunez K.-M.
        • Smeaton E.
        • Testad I.
        • Thomas A.J.
        • Closs S.J.
        • Briggs M.
        • Clifton L.
        • Gjestsen M.T.
        • Lawrence V.
        The landscape of pain management in people with dementia living in care homes: a mixed methods study.
        Int. J. Geriatr. Psychiatry. 2016; 31: 1354-1370
        • Herr K.
        • Coyne P.J.
        • McCaffery M.
        • Manworren R.
        • Merkel S.
        Pain assessment in the patient unable to self-report: position statement with clinical practice recommendations.
        Pain Manag. Nurs. 2011; 12: 230-250
        • Warden V.
        • Hurley A.C.
        • Volicer L.
        Development and psychometric evaluation of the pain assessment in advanced dementia (PAINAD) scale.
        J. Am. Med. Dir. Assoc. 2003; 4: 9-15
        • Pu L.
        • Moyle W.
        • Jones C.
        • Todorovic M.
        The effect of using PARO for people living with dementia and chronic pain: a pilot randomized controlled trial.
        J. Am. Med. Dir. Assoc. 2020; 21: 1079-1085

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