Cardiac Rehabilitation And Quality Of Life Scores

REACH Index (Rehabilitation Attendance Predictor)

Clinical calculation support · Verify results before clinical use

Patient characteristics

Enter the available characteristics below. The supplied equation has not been clinically validated, so this tool will not estimate attendance probability.

Model validation required

Age (years)

Enter age in completed years. This form accepts adults aged 18–120 years.

Gender

Current smoking status

Marital status

Anxiety reported?

Clinical and methodological note

Why the original calculation has been withheld pending verification.

Equation not verified

The supplied source calculated a linear predictor using fixed coefficients and then applied the logistic function. However, the source code did not provide a derivation or validation reference for those exact coefficients, an intercept, a defined outcome time frame, or a calibration/validation report.

The original coding also treated marital status as a single ordinal number (single = 0, married = 1, divorced = 2, widowed = 3). That imposes a linear ordering and equal spacing between categories, which requires explicit statistical justification and cannot be assumed to be valid.

Until the exact published model and coefficients are confirmed, the inputs are collected only for review; they are not converted into a score or probability. This is a deliberate safety measure, not a validated alternative prediction model.

About cardiac rehabilitation attendance

Attendance at cardiac rehabilitation is influenced by multiple clinical, psychological, social, and access-related factors. A prediction tool should be used only when its intended population, outcome definition, coefficients, and validation performance can be confirmed from the original publication.

Before using a prediction model

Confirm the exact model name and original publication.
Verify all regression coefficients, intercept, coding of categorical variables, and outcome definition.
Check external validation, calibration, discrimination, and applicability to the patient population.
Do not use an unvalidated probability to deny, delay, or ration cardiac rehabilitation referral.

Reference supplied with the original code

Beckie TM, Beckstead JW. Predicting cardiac rehabilitation attendance in a gender-tailored randomized clinical trial. Journal of Cardiopulmonary Rehabilitation and Prevention. 2010;30(3):147–156. doi:10.1097/HCR.0b013e3181d0c2ce.

The citation above was present in the supplied source. It is not treated here as proof that the coefficients in the supplied PHP code reproduce the model reported in that paper.

Clinical disclaimer: This page does not currently provide a validated prediction of cardiac rehabilitation attendance. Do not use it to make individual treatment, referral, or service-allocation decisions. Restore calculation functionality only after the original equation has been verified against an authoritative publication and clinically reviewed.