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June 17, 2026Monaldi Archives for Chest Disease0 citationsOpen Access

A correlational study to assess the levels of adherence to treatment, illness perception and acceptance of illness in patients with coronary artery disease attending the outpatient departments at a tertiary care hospital

SMShiv Kumar MudgalBMBinita MishraRSR Som

Key Result

Among patients with coronary artery disease, acceptance of illness demonstrated a weak but statistically significant positive correlation with treatment adherence (r=0.248, p=0.001).

Key Points

  • The study aims to assess treatment adherence, illness perception, and acceptance of illness among CAD patients.
  • Descriptive correlational cross-sectional study among 250 CAD patients selected through convenience sampling.
  • Data collection involved standardized tools: Morisky Medication Adherence Scale, Brief Illness Perception Questionnaire, and Acceptance of Illness Scale.
  • Statistical analysis included descriptive statistics, Pearson's correlation, and chi-square tests.
  • 59% of CAD patients exhibited low treatment adherence with a mean score of 5.69±1.58.
  • 82% of participants reported high illness perception with a mean score of 54.93±8.78.
  • A weak positive correlation was found between acceptance of illness and treatment adherence (r=0.245, p<0.001).

Study Design

Type

Cross-Sectional (n=250)

Multicenter

No

Structured PICO

P
Population
250 adult patients with coronary artery disease on treatment for at least three months were assessed in a cross-sectional study to evaluate treatment adherence, illness perception, and illness acceptance.
O
Outcome
Levels of treatment adherence (measured by MMAS-8), illness perception (measured by IPQ-B), and acceptance of illness (measured by AIS), and their correlations.patient reported

In Indian outpatients with coronary artery disease, treatment adherence is predominantly low and is weakly but significantly correlated with acceptance of illness, highlighting the need for psychological support and patient education.

Main Result

Effect estimate: r=0.248

p-value: p=0.001

Limitations

  • Cross-sectional design restricts the ability to infer causal relationships among the variables
  • Convenience sampling may introduce selection bias and limit generalizability to broader CAD populations
  • Self-reported measures may be influenced by recall and social desirability biases
  • Illness perception was assessed using a brief tool that may not capture the full complexity of cognitive and emotional representations
  • Cross-sectional design restricts the ability to infer causal relationships
  • Convenience sampling may introduce selection bias and limit generalizability

Abstract

Coronary artery disease (CAD) continues to be a major global health burden, and its effective management depends on optimal treatment adherence, realistic illness perception, and adequate acceptance of illness. However, evidence examining these psychosocial and behavioral factors remains limited. This study assessed treatment adherence, illness perception, and acceptance of the illness and explored their associations among CAD patients. A descriptive correlational cross-sectional study was conducted among 250 CAD patients selected through convenience sampling. Data were collected using standardized tools: the Morisky Medication Adherence Scale (MMAS-8), the Brief Illness Perception Questionnaire (IPQ-B), and the Acceptance of Illness Scale (AIS) with the relative ranges (MMAS-8: 0-8, IPQ-B: 0-80, AIS: 8-40). Descriptive statistics (mean, standard deviation, frequency, and percentage) were used to summarize the data, Pearson's correlation was applied to examine relationships among variables, and the chi-square test was used to assess associations between outcome variables and selected sociodemographic factors. Treatment adherence was predominantly low (59%), with a mean score of 5.69±1.58. Illness perception scores indicated that most participants (82%) experienced a high perceived illness threat (mean = 54.93±8.78). Acceptance of illness was moderate in 57.6% of participants, with a mean score of 25.09±6.07. A weak but statistically significant positive correlation was observed between acceptance of illness and treatment adherence (r=0.245, p<0.001). Illness perception showed no significant relationship with other variables. Significant associations were identified between treatment adherence and socioeconomic status (χ²=19.97, p=0.003); acceptance of illness and educational status (p<0.001), physical activity (χ²=12.98, p=0.011), and past medical history (χ² =29.51, p=0.003); and illness perception with socioeconomic status (χ²=16.18, p=0.013) and area of residence (χ²=16.88, p=0.002). CAD patients showed low treatment adherence, high perceived illness threat, and moderate illness acceptance. Strengthening patient education, addressing illness perceptions, and enhancing psychological support may improve adherence and long-term disease management.

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Cite This Study

Mudgal et al. (2026) conducted a cross-sectional in Coronary artery disease (n=250). Acceptance of illness was evaluated on Correlation between acceptance of illness and treatment adherence (r=0.248, p=0.001). Among patients with coronary artery disease, acceptance of illness demonstrated a weak but statistically significant positive correlation with treatment adherence (r=0.248, p=0.001).

synapsesocial.com/papers/6a32689f9da909cb8f3dcc90https://doi.org/10.4081/monaldi.2026.3852
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