User:Eyoungstrom/sandbox

ABCT Bipolar SIG
Adding citations.

Assessment
MATRIX Battery for Bipolar Disorder (<- David Miklowitz suggested); Lauren Weinstock is in.

Come up with a recommendation about core measures for a standard; need to include neurocog (<--talk with Patty Walsh)

Reliability
Inter-rater reliability is a key topic for validity of diagnoses, but there has been relatively little sharing of methods. One of the things that could be helpful is sharing methods and having a place to discuss issues and ideas.


 * Andrew Freeman described procedures for video recording, and inter rater reliability. (<-- could elaborate here)
 * What are best practices and feasible options for maintaining high inter-rater reliability in research?
 * Coding at symptom level
 * ADI-R as model of how to maintain reliability across groups -- biennial videos disseminated to maintain (Thanks, Talia!)
 * [ ] Look at ADI-R training system as a model to emulate
 * Lauren Weinstock raised questions about whether to correct errors when more information becomes available, versus live with that as an aspect of reliability.
 * Ben Goldstein made a distinction between clerical error vs. diagnostic evolution or incomplete clinical picture at snapshot
 * David Miklowitz described training procedure on KSADS, focusing on agreement at item level (because easier to achieve than diagnosis level).
 * Filtered vs. Unfiltered ratings (LAMS example) Yee et al. JCCAP [ ] circulate on listserv

Rating Scales
Meta-analyses are helping to establish which are the robust measures that continue to show good psychometrics across a variety of samples. This could be a place to talk about ideas for secondary analyses and also looking at the priority areas for future work.

Self report measures could provide a way to calibrate across raters or sites -- consistent method, no variance due to differences in training.

Cross Informant Issues
(Let's invite Gaye!)

Open Teaching of Psychological Science is a place that we are sharing scoring information,
REDCAP versus Qualtrics

What are the advantages and disadvantages of tightly controlled data capture versus more open systems?

PHQ9
The PHQ-9 (Patient Health Questionnaire-9) is a widely recognized instrument for assessing and measuring depression. It is a self-report tool that has been effectively used in various settings, including primary care, to screen patients for depression and monitor their progress over time. The PHQ-9 is not only efficient but also cost-effective, making it a preferred choice for many healthcare professionals in primary care settings[^15^].

Several studies have highlighted the utility of the PHQ-9 in different populations. For instance, research has shown its relevance in measuring depression among college athletes, suggesting that it might be more beneficial than relying solely on baseline testing due to the under-endorsement of items on other scales compared to the PHQ-9[^1^]. Another study emphasized the potential of the PHQ-9 as a tool for screening and monitoring depression in individuals with multiple sclerosis[^2^].

Furthermore, the PHQ-9 has been combined with other scales to understand the structure of depression in specific populations, such as prostate cancer patients[^4^]. In the context of post-concussion symptoms, the PHQ-9 has been used to identify unique factors related to post-concussion depression, suggesting that an additional measure of depression might be necessary to pinpoint specific depressive symptoms beyond the general ones[^10^].

In military settings, the PHQ-9 has been found to be a valid screen for depressive disorders, with identified cutoffs being slightly lower than those recommended for civilian populations[^11^]. However, some studies have indicated that while the PHQ-9 might be useful in certain scenarios, it may not serve as a reliable quality indicator in all healthcare facilities due to factors like low inter-facility variation[^12^].

In conclusion, the PHQ-9 is a versatile and effective tool for assessing depression across various populations and settings. Its ease of use and cost-effectiveness make it a valuable asset in both clinical and research contexts.

** References**:

[^1^]: [Comparison of the PHQ9 and ImPACT symptom cluster scores in measuring depression among college athletes]( https://pubmed.ncbi.nlm.nih.gov/32780591 )

[^2^]: [The PHQ-9 as a tool to measure depression in people with multiple sclerosis]( https://doi.org/10.1136/JNNP-2019-ABN-2.141 )

[^4^]: [Factor structure of a combined measure of major depressive disorder and male depression in prostate cancer patients]( https://pubmed.ncbi.nlm.nih.gov/26228568 )

[^10^]: [A-56 Post-Concussion Depression Presents in Distinct and Unique Factors]( https://doi.org/10.1093/arclin/acad042.56 )

[^11^]: [Screening for Depression and Psychological Distress in a Currently Serving Military Population]( https://pubmed.ncbi.nlm.nih.gov/29192508 )

[^12^]: [Assessment of Outcome-Based Measures of Depression Care Quality in Veterans Health Administration Facilities]( https://pubmed.ncbi.nlm.nih.gov/36207569 )

[^15^]: [The Use of the PHQ9 self-rating scale to assess depression within Primary Care]( https://pubmed.ncbi.nlm.nih.gov/28953840 )

Telepsychology
moved to Helping_Give_Away_Psychological_Science/Telepsychology

Transclusion stuff
Are Cody's slides CC BY? (could they be?)

Chromatography solvency prism
This is a passion project with REY.

Here's an experiment copying and pasting a table in: Notes. This needs to be compared carefully to "Copy of Working Alphabetical Master list 08AUG2021.xlsx" -- which has blue, green , and black color coding for source, two numbered footnotes, and some other technical details.

UV cutoff data based on Burdick and Jackson solvents and Bruno, T. J., and Svoronos, P. D. N. CRC Handbook of Basic Tables for Chemical Analysisi, CRC Press, Boca Raton, FL 1989

Landolt-Borstein, Numerical Data and Functional Relationshops in Science and Technology, New Series, IV/6, Statis Dielectric Constantsof Pure Liquids and Binary Liquid Mixtures, Springer-Verlag, Heidelberg, 1991

Source: J Chrom Sci 16 Table II

Source: CRC Handbook

Source: Rohrschneider

ε° (Al2O3) represents the elutropic strength on Alumina