afya-medqol

afya-medqol

Computes the Afya MedQoL Physician quality-of-life index from instrument responses — practicing physicians (13 items, 3 domains) — with 100% deterministic scoring (fixed quadrature, no random seed).

Calibration parameters are frozen in source code (parameters_physician.py) — there is no external file (CSV/Excel) read at runtime.

Installation

pip install afya-medqol

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Three-dimensional Samejima GRM (Graded Response Model) with EAP (Expected A Posteriori) scoring. Calibration frozen at 2024_2 (Gobbo Jr M et al., BMJ Open 2025;15:e102783), with independent domains (Σ = I): each domain (F1, F2, F3) works as its own ruler — zeroing or excluding items from one domain does not affect the others.

The global score combines the three domains (F3 reversed only in this composite) with weights proportional to each factor's discrimination (Σ|a|).

Library usage

import pandas as pd
from afya_medqol import MedQoLPhysicianCalculator

df_responses = pd.read_csv("responses.csv")

calc = MedQoLPhysicianCalculator()
result = calc.score_batch(df_responses)

print(result[["theta_global", "T_score_global"]])

Scoring a single respondent:

result = calc.score_physician({
    "F1_1_enjoymentoflife": 4,
    "F1_2_financialsufficiency": 3,
    # ... remaining items (see afya_medqol.ITENS_TODOS)
})
print(result["theta_global"], result["T_score_global"])

To look up the original questionnaire wording for any item, use ITEM_QUESTIONS (a plain dict keyed by item, then by language code — "en" or "pt") or the item_questions(lang="en") method on a calculator instance, which returns the flat item -> text dict for the requested language (English by default):

from afya_medqol import ITEM_QUESTIONS

print(ITEM_QUESTIONS["F1_1_enjoymentoflife"]["pt"])
print(calc.item_questions()["F1_1_enjoymentoflife"])            # English (default)
print(calc.item_questions(lang="pt")["F1_1_enjoymentoflife"])   # Portuguese

MedQoLPhysicianCalculator precomputes the quadrature grid and item probabilities once at construction time — reuse the same instance when scoring multiple batches.

Command line

afya-medqol responses.csv
afya-medqol responses.csv --saida result.csv

Output

• theta1_quality_of_life, theta2_institutional_support, theta3_perceived_stress, theta_global
• T_score_global (50 + 10·θ_global)

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License

Apache License 2.0 — see LICENSE.