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#hrql — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #hrql, aggregated by home.social.

  1. Last week's #ONS seminar "Introducing the UK headline measures of national #wellbeing" was interesting. The session was not recorded but the slides are available here:
    slideshare.net/slideshow/intro

    Areas of discussion in the Q&A:
    - A report on the methodology deriving these indicators potentially to be published.
    - Does #BeyondGDP include GDP?

    #QualityOfLife #QoL #HRQL

  2. Important note in this report by the Future #DSM Strategic Committee:

    Acknowledgement of the importance of functioning and quality of life (beyond symptoms) and tasking a sub-committee with finding assessments that align with recovery-oriented care
    psychiatryonline.org/doi/10.11

    #HRQL #HRQoL #MentalIllness #DSM5 #ICD11

  3. Important note in this report by the Future #DSM Strategic Committee:

    Acknowledgement of the importance of functioning and quality of life (beyond symptoms) and tasking a sub-committee with finding assessments that align with recovery-oriented care
    psychiatryonline.org/doi/10.11

    #HRQL #HRQoL #MentalIllness #DSM5 #ICD11

  4. Important note in this report by the Future #DSM Strategic Committee:

    Acknowledgement of the importance of functioning and quality of life (beyond symptoms) and tasking a sub-committee with finding assessments that align with recovery-oriented care
    psychiatryonline.org/doi/10.11

    #HRQL #HRQoL #MentalIllness #DSM5 #ICD11

  5. Important note in this report by the Future #DSM Strategic Committee:

    Acknowledgement of the importance of functioning and quality of life (beyond symptoms) and tasking a sub-committee with finding assessments that align with recovery-oriented care
    psychiatryonline.org/doi/10.11

    #HRQL #HRQoL #MentalIllness #DSM5 #ICD11

  6. Amrita Basu presents development and implementation of a system for monitoring patient-reported data via ePROs in the I-SPY2 Trial
    pmc.ncbi.nlm.nih.gov/articles/
    #ISOQOL

    This is a great example of papers that elucidate practical challenges of PRO capture (see our call for more such work in this editorial rdcu.be/eMp57 )

    #HRQL #PatientCentered

  7. A #SysReview of quality of life and #HRQoL instruments used in trials of interventions for adults with alcohol use disorder:
    jsatjournal.com/article/S2949-

    One of the interesting findings:
    Although the team focused on the most frequently used instruments they found only very few studies reporting psychometric properties in this population.

    This mirrors findings from our broader #SysReview of #HRQL as an outcome in substance and behavioural addictions
    pubmed.ncbi.nlm.nih.gov/374393

    #Psychometrics #Validity

  8. A #SysReview of quality of life and #HRQoL instruments used in trials of interventions for adults with alcohol use disorder:
    jsatjournal.com/article/S2949-

    One of the interesting findings:
    Although the team focused on the most frequently used instruments they found only very few studies reporting psychometric properties in this population.

    This mirrors findings from our broader #SysReview of #HRQL as an outcome in substance and behavioural addictions
    pubmed.ncbi.nlm.nih.gov/374393

    #Psychometrics #Validity

  9. A #SysReview of quality of life and #HRQoL instruments used in trials of interventions for adults with alcohol use disorder:
    jsatjournal.com/article/S2949-

    One of the interesting findings:
    Although the team focused on the most frequently used instruments they found only very few studies reporting psychometric properties in this population.

    This mirrors findings from our broader #SysReview of #HRQL as an outcome in substance and behavioural addictions
    pubmed.ncbi.nlm.nih.gov/374393

    #Psychometrics #Validity

  10. A #SysReview of quality of life and #HRQoL instruments used in trials of interventions for adults with alcohol use disorder:
    jsatjournal.com/article/S2949-

    One of the interesting findings:
    Although the team focused on the most frequently used instruments they found only very few studies reporting psychometric properties in this population.

    This mirrors findings from our broader #SysReview of #HRQL as an outcome in substance and behavioural addictions
    pubmed.ncbi.nlm.nih.gov/374393

    #Psychometrics #Validity

  11. A #SysReview of quality of life and #HRQoL instruments used in trials of interventions for adults with alcohol use disorder:
    jsatjournal.com/article/S2949-

    One of the interesting findings:
    Although the team focused on the most frequently used instruments they found only very few studies reporting psychometric properties in this population.

    This mirrors findings from our broader #SysReview of #HRQL as an outcome in substance and behavioural addictions
    pubmed.ncbi.nlm.nih.gov/374393

    #Psychometrics #Validity

  12. Meta-analysis of #TaskShifting / #TaskSharing for managing #Multimorbidity shows some associations w depression (d=-.27, k=14), quality of life (d=.10, k=12), increased anxiety (d=.14, k=5), mortality (OR=.77, k=4).

    fmch.bmj.com/content/13/3/e003

    #GlobalHealth #GlobalMentalHealth #HRQL #HRQoL

  13. Meta-analysis of #TaskShifting / #TaskSharing for managing #Multimorbidity shows some associations w depression (d=-.27, k=14), quality of life (d=.10, k=12), increased anxiety (d=.14, k=5), mortality (OR=.77, k=4).

    fmch.bmj.com/content/13/3/e003

    #GlobalHealth #GlobalMentalHealth #HRQL #HRQoL

  14. Meta-analysis of #TaskShifting / #TaskSharing for managing #Multimorbidity shows some associations w depression (d=-.27, k=14), quality of life (d=.10, k=12), increased anxiety (d=.14, k=5), mortality (OR=.77, k=4).

    fmch.bmj.com/content/13/3/e003

    #GlobalHealth #GlobalMentalHealth #HRQL #HRQoL

  15. Meta-analysis of #TaskShifting / #TaskSharing for managing #Multimorbidity shows some associations w depression (d=-.27, k=14), quality of life (d=.10, k=12), increased anxiety (d=.14, k=5), mortality (OR=.77, k=4).

    fmch.bmj.com/content/13/3/e003

    #GlobalHealth #GlobalMentalHealth #HRQL #HRQoL

  16. Meta-analysis of #TaskShifting / #TaskSharing for managing #Multimorbidity shows some associations w depression (d=-.27, k=14), quality of life (d=.10, k=12), increased anxiety (d=.14, k=5), mortality (OR=.77, k=4).

    fmch.bmj.com/content/13/3/e003

    #GlobalHealth #GlobalMentalHealth #HRQL #HRQoL

  17. Still in the summer write-up of papers?

    Have a look at the call for papers on "Quality of life in people with mental disorders – beyond global scores" at Quality of Life Research
    link.springer.com/collections/

    Linked Editorial
    link.springer.com/collections/

    #HRQL #HRQOL #HealthEconomics

  18. Rehabilitation is often criticised for its focus on physical and functional recovery, at the expense of recognising the profound social and psychological impacts of illness and injury:
    frontiersin.org/journals/rehab

    #PatientCentered #PersonCentered #HRQL

  19. Investigating functioning of the #EQ5D -Y-5L in five countries shows that participants can differentiate ordinal response levels, but that measurement quality and scaling functions differ by country and age:
    sciencedirect.com/science/arti

    Since this is conceptually similar to violations of invariance in other measurement models, I wonder whether the #utility #valuation literature needs a more formal framework for this and whether #Psychometrics might help with this?

    #HRQL #HealthEconomics

  20. This #CostUtilityAnalysis of 'academic detailing' to enhance naloxone distribution for opioid users (i) shows it potentially cost-effective at WTP of US$50,000 per #QALY and (ii) it used #UtilityScores developed from #NIDA shared data*
    link.springer.com/article/10.1

    #HealthEconomics #HRQL #HRQoL

    * To develop these we used National Institute on Drug Abuse-published #RCT data
    link.springer.com/article/10.1

    To me an example how #DataSharing supports research for community infrastructure

    #NIDA #Psychometrics

  21. This #CostUtilityAnalysis of 'academic detailing' to enhance naloxone distribution for opioid users (i) shows it potentially cost-effective at WTP of US$50,000 per #QALY and (ii) it used #UtilityScores developed from #NIDA shared data*
    link.springer.com/article/10.1

    #HealthEconomics #HRQL #HRQoL

    * To develop these we used National Institute on Drug Abuse-published #RCT data
    link.springer.com/article/10.1

    To me an example how #DataSharing supports research for community infrastructure

    #NIDA #Psychometrics

  22. This #CostUtilityAnalysis of 'academic detailing' to enhance naloxone distribution for opioid users (i) shows it potentially cost-effective at WTP of US$50,000 per #QALY and (ii) it used #UtilityScores developed from #NIDA shared data*
    link.springer.com/article/10.1

    #HealthEconomics #HRQL #HRQoL

    * To develop these we used National Institute on Drug Abuse-published #RCT data
    link.springer.com/article/10.1

    To me an example how #DataSharing supports research for community infrastructure

    #NIDA #Psychometrics

  23. This #CostUtilityAnalysis of 'academic detailing' to enhance naloxone distribution for opioid users (i) shows it potentially cost-effective at WTP of US$50,000 per #QALY and (ii) it used #UtilityScores developed from #NIDA shared data*
    link.springer.com/article/10.1

    #HealthEconomics #HRQL #HRQoL

    * To develop these we used National Institute on Drug Abuse-published #RCT data
    link.springer.com/article/10.1

    To me an example how #DataSharing supports research for community infrastructure

    #NIDA #Psychometrics

  24. This #CostUtilityAnalysis of 'academic detailing' to enhance naloxone distribution for opioid users (i) shows it potentially cost-effective at WTP of US$50,000 per #QALY and (ii) it used #UtilityScores developed from #NIDA shared data*
    link.springer.com/article/10.1

    #HealthEconomics #HRQL #HRQoL

    * To develop these we used National Institute on Drug Abuse-published #RCT data
    link.springer.com/article/10.1

    To me an example how #DataSharing supports research for community infrastructure

    #NIDA #Psychometrics

  25. Quick reminder:
    "Content validity is defined as the degree to which the content of a measurement instrument adequately reflects the outcome being measured. [...] It is considered to be the most important measurement property".
    sciencedirect.com/science/arti

    #Psychometrics #COSMIN #HRQL

  26. Quick reminder:
    "Content validity is defined as the degree to which the content of a measurement instrument adequately reflects the outcome being measured. [...] It is considered to be the most important measurement property".
    sciencedirect.com/science/arti

    #Psychometrics #COSMIN #HRQL

  27. Quick reminder:
    "Content validity is defined as the degree to which the content of a measurement instrument adequately reflects the outcome being measured. [...] It is considered to be the most important measurement property".
    sciencedirect.com/science/arti

    #Psychometrics #COSMIN #HRQL

  28. Quick reminder:
    "Content validity is defined as the degree to which the content of a measurement instrument adequately reflects the outcome being measured. [...] It is considered to be the most important measurement property".
    sciencedirect.com/science/arti

    #Psychometrics #COSMIN #HRQL

  29. Quick reminder:
    "Content validity is defined as the degree to which the content of a measurement instrument adequately reflects the outcome being measured. [...] It is considered to be the most important measurement property".
    sciencedirect.com/science/arti

    #Psychometrics #COSMIN #HRQL

  30. Perspectives of service providers, caregivers and adolescent patients in this study suggest that if patients are asked to complete PROMs, there is a duty of care for this information to be reviewed and acted upon:
    link.springer.com/article/10.1

    #HRQL #PatientCentered #EQ5D #FeedbackSystems

  31. #PersonCentred care refers to health care that is respectful of and responsive to personal experiences, preferences, needs, goals and values of service users.

    Read our discussion piece on how we measure and evaluate such care and the potential place for #PatientReported outcomes in it:
    frontiersin.org/journals/healt

    #PatientCentered #HRQL

  32. #PersonCentred care refers to health care that is respectful of and responsive to personal experiences, preferences, needs, goals and values of service users.

    Read our discussion piece on how we measure and evaluate such care and the potential place for #PatientReported outcomes in it:
    frontiersin.org/journals/healt

    #PatientCentered #HRQL

  33. #PersonCentred care refers to health care that is respectful of and responsive to personal experiences, preferences, needs, goals and values of service users.

    Read our discussion piece on how we measure and evaluate such care and the potential place for #PatientReported outcomes in it:
    frontiersin.org/journals/healt

    #PatientCentered #HRQL

  34. #PersonCentred care refers to health care that is respectful of and responsive to personal experiences, preferences, needs, goals and values of service users.

    Read our discussion piece on how we measure and evaluate such care and the potential place for #PatientReported outcomes in it:
    frontiersin.org/journals/healt

    #PatientCentered #HRQL

  35. #PersonCentred care refers to health care that is respectful of and responsive to personal experiences, preferences, needs, goals and values of service users.

    Read our discussion piece on how we measure and evaluate such care and the potential place for #PatientReported outcomes in it:
    frontiersin.org/journals/healt

    #PatientCentered #HRQL

  36. A new paper discusses workflow development for ePRO symptom monitoring to support PRO(M) implementation into practice using the Action, Actor, Context, Target, Time framework:
    link.springer.com/article/10.1

    #HRQL #PatientCentered #ImplementationScience #ParticipatoryResearch

  37. A #SysReview (24 studies) synthesises evidence around the impact of adopting different perspectives when valuing child & adolescent #HRQL
    link.springer.com/article/10.1

    Results show that differences in mean values arise with different perspectives on severe child #HealthStates. These differences are influenced by factors such as health state severity and valuation method. Uncertainty remains regarding the optimal choice of preference elicitation and anchoring methods.

    #HealthEconomics

  38. A #SysReview (24 studies) synthesises evidence around the impact of adopting different perspectives when valuing child & adolescent #HRQL
    link.springer.com/article/10.1

    Results show that differences in mean values arise with different perspectives on severe child #HealthStates. These differences are influenced by factors such as health state severity and valuation method. Uncertainty remains regarding the optimal choice of preference elicitation and anchoring methods.

    #HealthEconomics

  39. A #SysReview (24 studies) synthesises evidence around the impact of adopting different perspectives when valuing child & adolescent #HRQL
    link.springer.com/article/10.1

    Results show that differences in mean values arise with different perspectives on severe child #HealthStates. These differences are influenced by factors such as health state severity and valuation method. Uncertainty remains regarding the optimal choice of preference elicitation and anchoring methods.

    #HealthEconomics

  40. A #SysReview (24 studies) synthesises evidence around the impact of adopting different perspectives when valuing child & adolescent #HRQL
    link.springer.com/article/10.1

    Results show that differences in mean values arise with different perspectives on severe child #HealthStates. These differences are influenced by factors such as health state severity and valuation method. Uncertainty remains regarding the optimal choice of preference elicitation and anchoring methods.

    #HealthEconomics

  41. A #SysReview (24 studies) synthesises evidence around the impact of adopting different perspectives when valuing child & adolescent #HRQL
    link.springer.com/article/10.1

    Results show that differences in mean values arise with different perspectives on severe child #HealthStates. These differences are influenced by factors such as health state severity and valuation method. Uncertainty remains regarding the optimal choice of preference elicitation and anchoring methods.

    #HealthEconomics

  42. "The article focusses primarily on presenting the case for adopting ROM and is a starting point—a primer—for any person working in the field of student counselling, or psychological therapies more generally, who is considering the challenges of adopting ROM."

    Quote from:
    onlinelibrary.wiley.com/doi/fu

    #PsychotherapyResearch #PatientCentered #HRQL #Feedback

  43. The March* issue of Quality of Life Research includes the call for papers
    "Quality of life dimensions in people living with mental disorders: moving beyond global scores"
    rdcu.be/ehPIy

    We encourage submissions of research and practice using nuanced approaches to #HRQL & #QOL, adopting the term “mental disorder” broadly, e.g., based on standard diagnoses or using transdiagnostic perspectives.

    #SMI #HRQL #PatientCentered #Psychometrics #ClinicalPsychology #PsychotherapyResearch

    * 👇

  44. Trigg et al discussed conceptualisations of meaningful between-group differences:
    rdcu.be/ehHdD

    A comment by Kevin Weinfurt advances the discussion w 4 points
    rdcu.be/ehHfS

    #RCT #Estimand #HRQL

    From the abstract:

    (1) rather than “between-group difference,” specify the level at which you wish to infer a treatment effect: population or individual;

    (2) points of reference may be different for interpreting individual- and population-level treatment effect estimates;
    ...

  45. How to select relevant items for monitoring? Case example of a pragmatic process for mapping immune checkpoint inhibitor #SideEffects to items from existing item libraries ( #CTCAE #EORTC #FACIT )
    jpro.springeropen.com/articles

    #HRQL #JPRO #PatientCentered #PatientReported #ePRO

  46. How to select relevant items for monitoring? Case example of a pragmatic process for mapping immune checkpoint inhibitor #SideEffects to items from existing item libraries ( #CTCAE #EORTC #FACIT )
    jpro.springeropen.com/articles

    #HRQL #JPRO #PatientCentered #PatientReported #ePRO

  47. How to select relevant items for monitoring? Case example of a pragmatic process for mapping immune checkpoint inhibitor #SideEffects to items from existing item libraries ( #CTCAE #EORTC #FACIT )
    jpro.springeropen.com/articles

    #HRQL #JPRO #PatientCentered #PatientReported #ePRO

  48. How to select relevant items for monitoring? Case example of a pragmatic process for mapping immune checkpoint inhibitor #SideEffects to items from existing item libraries ( #CTCAE #EORTC #FACIT )
    jpro.springeropen.com/articles

    #HRQL #JPRO #PatientCentered #PatientReported #ePRO

  49. How to select relevant items for monitoring? Case example of a pragmatic process for mapping immune checkpoint inhibitor #SideEffects to items from existing item libraries ( #CTCAE #EORTC #FACIT )
    jpro.springeropen.com/articles

    #HRQL #JPRO #PatientCentered #PatientReported #ePRO