The Portuguese versions of the This Is ME Questionnaire and the Patient Dignity Question: tools for understanding and supporting personhood in clinical care
Bibliographic record
Abstract
BACKGROUND: Modern medicine can be impersonal and routinized, paying insufficient attention to issues of personhood. The Patient Dignity Question (PDQ) and This Is ME (TIME) Questionnaire are clinical tools developed with the aim of probing for personhood, reinforcing dignity and promoting health care attitudes based on looking at people for who they are and not defining them solely based on their medical condition. This study aimed to translate and validate the TIME Questionnaire and the PDQ into European Portuguese, coined as Questionário Este Sou EU (ESEU) and Pergunta da Dignidade (PD), respectively. METHODS: A three-stage research design, namely: a forward and back translation process (which included an expert committee panel), collected data on a sample of 43 non-institutionalized active elderly for the validation stage and a final expert panel consultation. Inclusion criteria: being 50 years old or older; ability to provide written informed consent; ability to read, speak and understand Portuguese. RESULTS: The original TIME authors fully endorsed the back translated version. A Portuguese version was created. Forty-three participants (response rate of 62%) were included, 53% of whom were male. The average age was 69 years old (range, 60-80 years old). The interviewed elderly strongly felt that the ESEU's summary captured their essence as a person beyond whatever health problems they might be experiencing (6.8, SD =0.48), heightened their sense of dignity (6.1, SD =1.48), considered important that health care professionals (HCPs) have access to ESEU´s summary (6.6, SD =0.73) and that this information could affect the way HCPs see and care for them (6.4, SD =0.86), rated on a Likert scale: 1 "strongly disagree"-7 "strongly agree". According to the experts' evaluations, the translated ESEU Questionnaire was clear, precise, comprehensible and captured important dimensions of personhood. CONCLUSIONS: The Questionário ESEU and the PD are clear, precise, comprehensible and well-aligned in terms of measuring aspects of personhood. This measure could add additional value to the patient-healthcare provider relationship, allowing a new perspective on how healthcare professionals perceive patients in suffering, ensuring they acknowledge not just patienthood, but critical dimensions of personhood.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".