Exploratory factor analysis of the pain outcomes profile

Validation of Parkinson's Disease-Related Questionnaires in South Africa

Background

There are very few epidemiological studies investigating Parkinson's disease (PD) in Africa. The hundreds of local languages and dialects make traditional screening and clinical evaluation tools difficult to use.

Objective

The objective of the study was to validate two commonly used PD questionnaires in an African population.

Methods

The PD Screening Questionnaire (PDSQ) and Parkinson's Disease Questionnaire (PDQ-39) were modified and translated into Afrikaans, Setswana, and isiZulu and administered to a sample of healthy local residents. We assessed the internal consistencies and cluster characteristics of the questionnaires, using a Cronbach's alpha test and exploratory factor analysis. The questionnaires were then administered to a population-based sample of 416 research participants. We evaluated the correlations between the questionnaires and both a timed motor task and the Unified Parkinson's Disease Rating Scale motor subsection 3 (UPDRS3), using locally weighted scatterplot smoothing (LOWESS) regression analysis and Spearman's rank correlation.

Results

Both questionnaires had high overall internal consistency (Cronbach's alpha = 0.86 and 0.95, respectively). The modified PDQ-39 had evidence of five subscales, with Factor 1 explaining 57% and Factor 2 explaining 14%, of the variance in responses. The PDSQ and PDQ-39 scores were correlated with the UPDRS3 score (ρ = 0.35, P < 0.001; and ρ = 0.28, P < 0.001, respectively).

Conclusion

The translated PDSQ and PDQ-39 questionnaires demonstrated high internal consistency and correlations with clinical severity of parkinsonism and a timed motor task, suggesting that they are valid tools for field-based epidemiological studies.

Detection of osteoarthritis using acoustic emission analysis

Osteoarthritis (OA) of the knee is a widespread disease, often resulting in pain, restricted mobility and a reduction of activities and participation. Initial studies gave hints that Acoustic Emission Analysis (AEA) is capable of detecting early changes in cartilage structure. However, up to date no in vivo validation studies have been conducted. A prospective pilot study was conducted to investigate this diagnostic capability and the accuracy of the AEA, using magnetic resonance imaging (MRI) as a reference standard. Additionally, potential factors influencing false positive or negative results were studied. Twenty-eight patients, receiving MRI due to discomfort of the knee, were examined with AEA. Sensitivity was 0.92 for the whole knee and 0.86 to 1 for different parts of the knee. The specificity was 0.7 and 0.59 to 0.78, respectively. Confidence intervals varied between 0 and 0.33 for sensitivity and 0.1 and 0.24 for specificity. The diagnostic accuracy of the AEA was shown to be good to very good. However, because of the relatively small number of patients involved, interpretation of the data should be handled with care. Future studies with greater sample sizes have to be conducted to confirm the results of this investigation.

Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling

Background

An academic, community medicine partnership was established to build a phenotype-to-outcome model targeting chronic pain. This model will be used to drive clinical decision support for pain medicine in the community setting. The first step in this effort is an examination of the electronic health records (EHR) from clinics that treat chronic pain. The biopsychosocial components provided by both patients and care providers must be of sufficient scope to populate the spectrum of patient types, treatment modalities, and possible outcomes.

Methods

The patient health records from a large Midwest pain medicine practice (Michigan Pain Consultants, PC) contains physician notes, administrative codes, and patient-reported outcomes (PRO) on over 30,000 patients during the study period spanning 2010 to mid-2014. The PRO consists of a regularly administered Pain Health Assessment (PHA), a biopsychosocial, demographic, and symptomology questionnaire containing 163 items, which is completed approximately every six months with a compliance rate of over 95 %. The biopsychosocial items (74 items with Likert scales of 0–10) were examined by exploratory factor analysis and descriptive statistics to determine the number of independent constructs available for phenotypes and outcomes. Pain outcomes were examined both in the aggregate and the mean of longitudinal changes in each patient.

Results

Exploratory factor analysis of the intake PHA revealed 15 orthogonal factors representing pain levels; physical, social, and emotional functions; the effects of pain on these functions; vitality and health; and measures of outcomes and satisfaction. Seven items were independent of the factors, offering unique information. As an exemplar of outcomes from the follow-up PHAs, patients reported approximately 60 % relief in their pain. When examined in the aggregate, patients showed both a decrease in pain levels and an increase in coping skills with an increased number of visits. When examined individually, 80-85 % of patients presenting with the highest pain levels reported improvement by approximately two points on an 11-point pain scale.

Conclusions

We conclude that the data available in a community practice can be a rich source of biopsychosocial information relevant to the phenotypes of chronic pain. It is anticipated that phenotype linkages to best treatments and outcomes can be constructed from this set of records.