Evidence map›Paper›PMID 34801076›Full record

ArticleBioPsychoSocial medicine2021

The effectiveness of Pictorial Representation of Illness and Self Measure (PRISM) for the assessment of the suffering and quality of interpersonal relationships of patients with chronic pain.

Mitsunao Tomioka, Masako Hosoi, Tomona Okuzawa, Kozo Anno, Rie Iwaki, Hiroshi Kawata, Chiharu Kubo, Nobuyuki Sudo

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BioPsychoSocial medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Mitsunao TomiokaDepartment of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka City, Fukuoka, 812-8582, Japan. tomioka.mitsunao.553@m.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0003-3601-8221
Masako HosoiDepartment of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka City, Fukuoka, 812-8582, Japan.
Tomona OkuzawaCenter for Dementia Related-Diseases, Konan Medical Center, 1-5-16 Kamokogahara, Higashinada-ku, Kobe City, Hyogo, 658-0064, Japan.
Kozo AnnoDepartment of Psychosomatic Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka City, Fukuoka, 812-8582, Japan.
Rie IwakiDepartment of Psychosomatic Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka City, Fukuoka, 812-8582, Japan.
Hiroshi KawataDepartment of Psychosomatic Medicine, Kyushu Central Hospital of the Mutual Aid Association of Public School Teachers, 3-23-1 Shiobaru, Minami-ku, Fukuoka City, Fukuoka, 815-8588, Japan.
Chiharu KuboNakamura Gakuen University, 5-7-1 Befu, Jounan-ku, Fukuoka City, Fukuoka, 814-0198, Japan.
Nobuyuki SudoDepartment of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka City, Fukuoka, 812-8582, Japan.
Kyushu University · JPKyushu University Hospital · JPKyushu Central Hospital of the Mutual Aid Association of Public School Teachers · JPNakamura Gakuen University · JP

Funding

grants-in-aid for scientific research JP19H03752grants-in-aid for scientific research JP 19K03320grants-in-aid for scientific research JP 20H04106ministry of health, labour and welfare 201915003A
6 · The paper itself

Abstract

backgroundPictorial Representation of Illness and Self Measure (PRISM) is a tool that can be used to visualize and evaluate the burden of suffering caused by an illness. The aim of this study was to identify which aspects of the burden of chronic pain patients are associated with Self/illness separation (SIS), an indicator of the magnitude of suffering. We also examined the effectiveness of PRISM for evaluating changes in the relationships between patients and their medical care and significant others due to our inpatient treatment.

methodsSeventy-two patients with chronic pain who were outpatients or admitted to the Department of Psychosomatic Medicine completed PRISM, depression and anxiety scales, and three types of pain-related self-assessment questionnaires (Brief Pain Inventory, Short-form McGill Pain Questionnaire, and Pain Catastrophizing Scale). Outpatients were queried at the time of outpatient visits and inpatients at the time of admission. In addition to PRISM disks related to illness, we asked each patient to place disks related to things important to them and their medical care. Of the inpatients, 31 did PRISM at the time of discharge. Among the reported important factors, which significant other was placed at the time of admission and discharge was evaluated. The distances of self/medical care separation (SMcS) and self/significant others separation (SSoS) were measured.

resultsOf the 21 scales measured, 10 showed a significant correlation with SIS. Factor analysis of these 10 scales extracted three factors, Life interferences, Negative affects, and Pain intensity. The SMcS and SSoS distances were shorter at discharge than at admission.

conclusionsPRISM for patients with chronic pain is an integrated evaluation method that reflects three aspects of pain. By adding medical care and significant others to the usual method of placing only illness on the sheet it became possible to assess changes in the quality of interpersonal relationships.

Indexed as

Chronic painPatient/physician relationshipPatient/significant others relationshipPictorial representation of illness and self measure

Identifiers

PMID34801076
PMCPMC8606086
OpenAlexW3214993454

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.