Background: The Sensation and Pain Rating Scale (SPARS) allows rating of non-painful as well as painful percepts. While it performs well in the experimental context, its clinical utility is untested. This prospective, repeated-measures study mixed qualitative and quantitative methods to examine the utility and performance of the SPARS in a clinical context, and to compare it with the widely used 11-point NRS for pain.

Methods: People presenting for outpatient physiotherapy (n = 121) provided ratings on the SPARS and NRS at first consultation, before and after sham and active clinical interventions, and at follow-up consultation. Clinicians (n = 9) reported each scale's usability and interpretability using Likert-type scales and free text, and answered additional questions with free text. Each data type was initially analysed separately: quantitative data were visualised and the ES II metric was used to estimate SPARS internal responsiveness; qualitative data were analysed with a reflexive inductive thematic approach. Data types were then integrated for triangulation and complementarity.

Results: The SPARS was well received and considered easy to use, after initial familiarisation. Clinicians favoured the SPARS over the NRS for clarity of interpretation and inter-rater reliability. SPARS sensitivity to change was good (ESII=0.9; 95%CI: 0.75-1.10). The greater perceptual range of the SPARS was deemed especially relevant in the later phases of recovery, when pain may recede into discomfort that still warrants clinical attention.

Conclusion: The SPARS is a promising tool for assessing patient percept, with strong endorsement from clinicians for its clarity and superior perceptual scope.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508797PMC
http://dx.doi.org/10.1101/2023.09.08.23295128DOI Listing

Publication Analysis

Top Keywords

spars
9
sensation pain
8
pain rating
8
rating scale
8
spars nrs
8
free text
8
clinical
5
scale easy
4
easy clear
4
clear interpret
4

Similar Publications

Article Synopsis
  • The study highlights the lack of attention given to numerical simulations of fatigue crack growth in welded joints, particularly considering material variability within the weld itself.
  • It presents several case studies focusing on high-strength low-alloyed steel welded joints, utilizing the extended finite element method (XFEM) with software like ABAQUS and ANSYS to model crack behavior.
  • Innovative procedures were introduced to account for different fatigue properties in various zones of the welded joint, aiming for more accurate evaluations of fatigue life compared to treating the weld as a uniform material.
View Article and Find Full Text PDF

Costs of the Supervision, Performance Assessment and Recognition Strategy (SPARS) for improving medicines management in Nepal.

J Pharm Policy Pract

November 2024

Management Sciences for Health, USAID Medicines, Technologies, and Pharmaceutical Services (MTaPS) Program, Kathmandu, Nepal.

Background: Nepal implemented a pilot of the Supervision, Performance Assessment, and Recognition Strategy (SPARS) program aimed to increase health workers' ability to manage medicines through on- the-job training and support from a new cadre of Medicines Management Supervisors (MMS). This study aims to assess the implementation costs.

Methods: Data from the SPARS central database and facilities was analysed to assess the total cost of the SPARS pilot including 293 public health facilities from 12 districts of 3 provinces, from May 2022 until July 2023.

View Article and Find Full Text PDF

Development of data-driven modeling method for nonlinear coupling components.

Sci Rep

June 2024

School of Mechanical Engineering, Pusan National University, 30 Jangjeon-Dong, Geumjeong-Gu, Busan, 46241, Republic of Korea.

This research introduces a methodology for data-driven regression modeling of components exhibiting nonlinear characteristics, utilizing the sparse identification of nonlinear dynamics (SINDy) method. The SINDy method is extended to formulate regression models for interconnecting components with nonlinear traits, yielding governing equations with physically interpretable solutions. The proposed methodology focuses on extracting a model that balances accuracy and sparsity among various regression models.

View Article and Find Full Text PDF

Assessing determinants of the availability of HIV tracer commodities in health facilities in Wakiso District, Uganda.

J Pharm Policy Pract

February 2024

EAC Regional Centre of Excellence for Vaccines, Immunization and Health Supply Chain Management, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.

Background: HIV/AIDS commodity stock-outs are still rampant in most African Countries causing treatment interruption, antiretroviral resistance, treatment failure, morbidity and mortality. Therefore, this study aimed at assessing the determinants of the availability of HIV Tracer Commodities in Health Facilities in Wakiso District, Uganda.

Methods: A descriptive cross-sectional design was conducted in 42 Health Facilities [HFs] offering HIV/AIDs services in Wakiso District, Uganda.

View Article and Find Full Text PDF

Objectives: Radiological alterations in psoriatic arthritis (PsA) are an established phenomenon frequently observed throughout the disease course. Our goal was to investigate the changes in the bone structure of PsA patients by conventional radiography.

Methods: This study designed as a retrospective cohort study and cross-sectional evaluation for disease activity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!