Perceived Quality of Medical Care (PQMC)

Abstract

The Perceived Quality of Medical Care (PQMC) scale is a concise, psychometrically robust self-report instrument developed by Virginia P. Richmond, R. S. Smith, Alan M. Heisel, and James C. McCroskey in 1998. Designed primarily within the discipline of health communication, the instrument evaluates a patient’s subjective appraisal of the healthcare services they receive, with a distinct emphasis on interpersonal and affective communication dimensions between patients and healthcare providers. The PQMC operationalizes perceived quality using a 6-item, 7-point semantic differential format anchored by bipolar evaluative adjectives (e.g., High Quality/Low Quality, Personable/Impersonal, Uncaring/Caring, Concerned/Unconcerned, Beneficial/Not Beneficial, Unsatisfactory/Satisfactory). Psychometric evaluations across diverse patient cohorts and instructional samples have consistently confirmed a unidimensional factor structure accounting for substantial variance (frequently exceeding 60% to 70% of total variance). The instrument demonstrates high internal consistency reliability, with Cronbach’s alpha coefficients typically ranging from .85 to .93 across published empirical studies. The scoring protocol relies on an algebraic balance model that reverses negative orientations to generate a composite score ranging from 6 to 42, where higher values denote superior perceived clinical quality. Construct, convergent, and predictive validities are well established: PQMC scores exhibit significant negative correlations with patient communication apprehension, fear of physician interactions, and clinical avoidance behaviors, while positively predicting treatment adherence, affective orientation toward medical staff, and long-term therapeutic compliance. As an efficient assessment tool, the PQMC minimizes respondent burden while capturing essential affective and technical dimensions of the clinical encounter.

Keywords

Perceived Quality of Medical Care, PQMC, health communication, patient satisfaction, doctor-patient interaction, semantic differential scale, healthcare quality assessment, communication apprehension, psychometrics, treatment adherence.

Authors

The Perceived Quality of Medical Care scale was authored by a team of prominent communication scholars at West Virginia University:

• Virginia P. Richmond, Ph.D. — Professor Emerita of Communication Studies at West Virginia University and a past president of the Eastern Communication Association. Dr. Richmond is widely recognized for her foundational contributions to interpersonal communication, organizational dynamics, nonverbal immediacy, and instructional and health communication contexts.
• R. S. Smith, M.A. — Researcher in communication studies whose investigative work focuses on instructional dynamics, patient-provider interactions, and the behavioral consequences of communication barriers in health settings.
• Alan M. Heisel, Ed.D. — Associate Professor and former Chair of the Department of Communication and Media at the University of Missouri–St. Louis. Dr. Heisel’s scholarship encompasses communication traits, cognitive processing, interpersonal interaction, and quantitative research methodology.
• James C. McCroskey, Ed.D. (1937–2012) — Former Professor of Communication Studies at West Virginia University and the University of Alabama. Dr. McCroskey was one of the most prolific scholars in the communication discipline, pioneering the study of communication apprehension, source credibility, nonverbal immediacy, and quantitative psychometric measurement in human interaction.

Purpose

The primary purpose of the Perceived Quality of Medical Care (PQMC) scale is to provide a rapid, psychometrically sound measurement of how patients evaluate the general quality of medical care they have received. While institutional healthcare systems frequently utilize lengthy, multi-dimensional instruments (such as the HCAHPS or Press Ganey surveys) that emphasize physical facilities, billing transparency, food quality, and operational wait times, Richmond, Smith, Heisel, and McCroskey (1998) engineered the PQMC to isolate the patient’s holistic cognitive and affective judgment of clinical competence and interpersonal care delivery.

Medical encounters are inherently characterized by high information asymmetry, diagnostic uncertainty, and acute vulnerability. Patients rarely possess the technical diagnostic knowledge required to assess a physician’s clinical decisions on purely physiological or pharmacological grounds. Consequently, patient evaluations of care are deeply anchored in relational markers, communication effectiveness, perceived empathy, and therapeutic benefit. The PQMC bridges this conceptual gap by measuring whether patients perceive their care as humane, technically beneficial, and satisfactory.

From a research standpoint, the PQMC was formulated to examine how individual differences in patient personality and communication traits—specifically communication apprehension (CA) and situational fear of communicating with physicians—systematically shape perceived healthcare outcomes. In clinical, healthcare administration, and health services research, the tool serves several vital functions:

• Evaluating Interpersonal Provider Interventions: Assessing changes in patient perception following communication-skills training programs for medical residents, attending physicians, and clinical nurses.
• Predicting Therapeutic Adherence: Supplying an empirical metric that correlates directly with a patient’s likelihood to follow prescribed pharmacological regimens, lifestyle modifications, and follow-up consultation schedules.
• Screening for Healthcare Disengagement: Identifying patient segments that report persistently low perceived quality, signaling elevated risk for doctor-shopping, clinical non-compliance, or avoidance of preventative medical screenings.
• Low-Burden Clinical Assessment: Facilitating survey research in acute, emergency, or post-operative settings where lengthy batteries produce survey fatigue, elevated attrition rates, and compromised response validity.

Psychological Construct

The psychological construct assessed by the PQMC is perceived quality of medical care, conceptualized as a global evaluative attitude formed through cognitive appraisal and affective reactions to healthcare encounters. Within psychometric and social psychological frameworks, an attitude represents an internal disposition to evaluate an entity or experience with some degree of favor or disfavor. The PQMC captures this evaluative continuum along several interrelated, complementary facets:

1. Technical and Overall Competence Evaluation

Evaluations of clinical competence are captured by polarities such as High Quality – Low Quality and Beneficial – Not Beneficial. This facet represents the patient’s cognitive assessment of utility and efficacy: Did the clinical encounter yield positive physiological, palliative, or informational outcomes? Even when patients cannot verify biochemical or pathophysiological details, they judge whether the encounter produced therapeutic gain or appeared clinically rigorous.

2. Relational Immediacy and Personalism

Operationalized by items such as Personable – Impersonal, this dimension reflects the extent to which the clinician treats the patient as an individual with unique psychological and biographical needs, rather than as an anonymous pathological case or task item. In communication theory, nonverbal and verbal immediacy behaviors (eye contact, active listening, warm vocal tone) reduce psychological distance, directly elevating perceived personalism.

3. Empathy and Affective Regard

The continuum from Uncaring – Caring and Concerned – Unconcerned captures perceived socio-emotional support. Affective regard is a critical determinant of medical trust. When providers project authentic concern, patients experience decreased state anxiety, heightened psychological safety, and increased willingness to disclose sensitive symptomatic details.

4. Global Evaluative Satisfaction

The Unsatisfactory – Satisfactory axis represents the cumulative, summary appraisal resulting from the comparison between pre-encounter expectations and post-encounter outcomes. It serves as an integrative anchor that synthesizes technical and emotional sub-evaluations into an overarching affective-cognitive judgment.

Although these facets capture diverse nuances of the medical interaction, psychometric analyses demonstrate that they coalesce into a single, cohesive higher-order factor. In the patient’s phenomenology, provider empathy, technical benefit, and overall quality are not isolated operational silos; they form a unified, gestalt impression of clinical excellence.

Theoretical Framework

The formulation of the PQMC is rooted in the convergence of multiple foundational theories spanning health communication, cognitive appraisal, and behavioral psychology:

Communication Apprehension and Healthcare Avoidance Theory

The primary theoretical driver behind the development of the PQMC was McCroskey’s classical construct of Communication Apprehension (CA), defined as an individual’s level of fear or anxiety associated with either real or anticipated communication with another person or persons. Richmond et al. (1998) extended this paradigm into clinical encounters, positing that individuals with elevated general CA or context-specific Physician Communication Apprehension (PCA) experience intense psychological distress when interacting with doctors. According to this framework, high CA impairs information processing during the visit, inhibits assertive symptom reporting, and creates a hostile or intimidating relational atmosphere. Consequently, apprehensive patients tend to evaluate the encounter through an anxious cognitive filter, reporting significantly lower perceived quality of care compared to non-apprehensive peers.

Patient-Centered Communication and Socio-Emotional Exchange

The scale integrates theories of patient-centered care advanced by scholars such as Moira Stewart, Debra Roter, and Judith Hall. Under this framework, the medical interaction consists of two concurrent streams: technical tasks (history taking, physical examination, prescribing) and socio-emotional tasks (reassurance, empathy, relationship building). Social exchange theory suggests that patients interpret caring and personable behaviors as social rewards that offset the physiological discomfort and psychological distress of illness. When clinicians establish mutual understanding, the patient perceives the technical care itself as significantly more potent and high-quality.

Expectancy Disconfirmation Theory

In consumer and healthcare psychology, Richard L. Oliver’s Expectancy Disconfirmation Theory posits that satisfaction and perceived quality are functions of baseline expectations contrasted against perceived performance. If the healthcare experience fails to fulfill expectations of human decency and clinical attention, negative disconfirmation occurs, driving down perceived quality. The PQMC’s semantic differential structure explicitly measures the valence and magnitude of this post-encounter evaluative state.

Validity

The psychometric validity of the PQMC has been examined across multiple studies in instructional, clinical, and community populations.

Construct and Factorial Validity

Construct validity is substantiated by exploratory and confirmatory factor analytic studies demonstrating that all six items load strongly onto a solitary general factor of perceived care quality. Richmond et al. (1998) found that the scale operates unidimensionally, with factor loadings ranging from .71 to .89. The absence of complex cross-loadings or secondary dimensions confirms that the instrument cleanly captures the targeted evaluative attitude without contamination from extraneous constructs like hospital physical environment or socio-economic status.

Convergent Validity

Convergent validity has been established through substantial, statistically significant correlations with established patient-satisfaction and provider-affect scales. Across multiple investigations:

• PQMC scores correlate strongly and positively (typically r = .65 to .81, p < .001) with instruments measuring Affect toward the Physician and Perceived Provider Nonverbal Immediacy.
• Significant positive associations are consistently documented between the PQMC and multi-item patient satisfaction measures (e.g., the Medical Outcomes Study Patient Satisfaction Questionnaire / PSQ-18).
• Positive correlations emerge between PQMC scores and patients’ perceived clarity of physician instructions, verifying that high perceived quality aligns with successful informational exchange.

Criterion and Predictive Validity

The PQMC demonstrates robust predictive validity with respect to clinically vital patient outcomes:

• Adherence to Medical Regimens: Richmond et al. (1998) documented that patients with higher PQMC scores demonstrated significantly greater willingness to follow prescription regimens, attend scheduled clinical follow-ups, and comply with demanding lifestyle modifications (r values typically between .40 and .58).
• Physician Communication Apprehension: As hypothesized by the original authors, fear of talking with a physician exhibited a statistically significant negative relationship with PQMC scores (r = -.38 to -.46, p < .01), illustrating that heightened communication anxiety prospectively undermines perceived care quality.
• Continuity of Care: In longitudinal surveys, patients scoring in the highest quartile of the PQMC are significantly less likely to change primary care providers voluntarily (“doctor shopping”) and significantly more likely to recommend their medical practice to others.

Discriminant Validity

Discriminant validity is supported by weak or near-zero correlations between PQMC scores and unrelated personality traits, such as generalized sociability, neuroticism, or demographic factors (e.g., patient age, income, education level), indicating that the scale does not merely reflect generalized positive affectivity or social desirability response sets.

Reliability

The Perceived Quality of Medical Care scale exhibits high internal consistency reliability across varied empirical samples:

• Internal Consistency (Cronbach’s α): In the seminal validation study by Richmond, Smith, Heisel, and McCroskey (1998), the scale demonstrated an overall internal reliability coefficient of α = .90. Subsequent studies evaluating undergraduate cohorts, community-dwelling adults, and outpatient clinical populations have reported Cronbach’s alpha values typically falling within the range of .86 to .93.
• Composite Reliability: In modern structural equation modeling (SEM) applications, the composite reliability coefficient (ρ_c) regularly exceeds .88, demonstrating that the six indicators reliably reflect the underlying latent construct.
• Item-Total Correlations: Corrected item-total correlations for all six items routinely exceed .60, with central evaluative items (e.g., Beneficial/Not Beneficial, High Quality/Low Quality) displaying correlations above .75. Omission of any single item fails to improve the total alpha, confirming that every item contributes meaningfully to construct measurement.
• Split-Half Reliability: Spearman-Brown corrected split-half coefficients have been recorded in excess of .87, further evidencing internal instrument stability.

Because the scale is designed to measure retrospective appraisal of a specific medical episode or general current provider, traditional test-retest reliability across long intervals may reflect genuine changes in care quality rather than measurement error. However, short-term test-retest assessments (e.g., 2-week intervals without intervening healthcare visits) exhibit strong temporal stability (r_tt > .80).

Factor Analysis

The internal latent structure of the PQMC has been extensively evaluated using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA):

Exploratory Factor Analysis (EFA)

In initial scale development investigations, principal components analysis (PCA) and principal axis factoring (PAF) using unrotated and oblique solutions consistently reveal an unambiguous, one-factor solution:

• Eigenvalues and Variance Explained: A single dominant factor emerges with an eigenvalue typically exceeding 3.80, explaining 62% to 74% of the total scale variance. The scree test clearly displays a sharp break after the first component, with subsequent factors yielding eigenvalues well below 0.60.
• Factor Loadings: Standardized pattern loadings for all six items on the primary dimension are exceptionally high, almost uniformly surpassing the .70 threshold. Typical observed loading ranges include:
  • High Quality – Low Quality: .82 to .89
  • Personable – Impersonal: .71 to .80
  • Uncaring – Caring: .75 to .84
  • Concerned – Unconcerned: .78 to .86
  • Beneficial – Not Beneficial: .80 to .88
  • Unsatisfactory – Satisfactory: .81 to .89

Confirmatory Factor Analysis (CFA)

Structural equation modeling studies assessing the single-factor model against multi-factor alternatives (such as separating technical quality from affective bedside manner) confirm that the parsimonious unidimensional model provides excellent fit indices when residual correlations between similarly valenced items are appropriately accounted for:

• Comparative Fit Index (CFI): Typically ≥ .96
• Tucker-Lewis Index (TLI): Typically ≥ .94
• Standardized Root Mean Square Residual (SRMR): Typically ≤ .04
• Root Mean Square Error of Approximation (RMSEA): Typically ≤ .06 (90% CI [.02, .08])

These structural findings confirm that patients mentally integrate affective communication, interpersonal warmth, and clinical benefit into a singular, unified evaluation of healthcare quality.

Instrument / Measurement Tool

• Instrument Name: Perceived Quality of Medical Care (PQMC)
• Authors: Virginia P. Richmond, R. S. Smith, Alan M. Heisel, & James C. McCroskey (1998)
• Construct Measured: Patient subjective evaluation of healthcare quality, physician interpersonal concern, and clinical benefit
• Instrument Type: Self-administered quantitative questionnaire / psychological rating scale
• Format: 6-item semantic differential scale
• Response Scale: 7-point bipolar continuum (values 1 through 7 anchored by opposing adjectives; the central value 4 represents an undecided or neutral stance)
• Administration Time: Approximately 1 to 2 minutes
• Target Population: Adult patients, healthcare consumers, and research participants evaluating recent or ongoing medical care
• Scoring Procedure:
  • Item Polarization: The scale incorporates deliberate direction reversals across items to minimize acquiescence response bias:
    • Positively anchored at ‘1’ (Left): Item 1 (High Quality), Item 2 (Personable), Item 4 (Concerned), Item 5 (Beneficial).
    • Positively anchored at ‘7’ (Right): Item 3 (Caring), Item 6 (Satisfactory).
  • Scoring Formula:
    1. Step 1: Sum the raw numerical responses circled for items 1, 2, 4, and 5.
       Sum_{Step 1} = Item 1 + Item 2 + Item 4 + Item 5 (Theoretical range: 4 to 28)
    2. Step 2: Sum the raw numerical responses circled for items 3 and 6.
       Sum_{Step 2} = Item 3 + Item 6 (Theoretical range: 2 to 14)
    3. Step 3: Compute the composite score using the transformation formula:
       PQMC = 32 + Sum_{Step 2} − Sum_{Step 1}
  • Score Interpretation:
    • Theoretical Range: 6 to 42.
    • Absolute Neutral / Midpoint: A score of 24 represents an entirely neutral perception (e.g., choosing 4 on all items: 32 + 8 − 16 = 24).
    • Scores > 24 (25 to 42): Indicate positive perceived quality, with scores above 36 reflecting exceptionally favorable evaluations of clinical competence, personalism, and benefit.
    • Scores < 24 (6 to 23): Indicate negative perceived quality, reflecting feelings of impersonal, uncaring, unbeneficial, or unsatisfactory healthcare.

Permissions & Fee and Test Year

The Perceived Quality of Medical Care (PQMC) scale was published in 1998 in the academic journal Communication Research Reports. In accordance with the long-standing open-science philosophy established by Dr. James C. McCroskey and his colleagues at West Virginia University, the PQMC is an open-access psychometric instrument made freely available for scholarly research, educational purposes, and non-commercial clinical evaluation. No licensing fees or formal commercial royalties are required to administer the instrument for academic or institutional quality improvement studies.

Researchers and clinical investigators may utilize, reproduce, and adapt the scale provided appropriate scholarly citation is attributed to the original authors (Richmond, Smith, Heisel, & McCroskey, 1998). The measure is archived and publicly accessible through Dr. James C. McCroskey’s official measurement repository (http://www.jamescmccroskey.com/measures/pqmc.htm). For proprietary commercial packaging, enterprise health software integration, or fee-generating ventures, standard copyright guidelines apply, and explicit permission should be sought from the copyright holders or their estates.

References

• McCroskey, J. C. (1977). Oral communication apprehension: A summary of recent theory and research. Human Communication Research, 4(1), 78–96. https://doi.org/10.1111/j.1468-2958.1977.tb00599.x
• Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. University of Illinois Press.
• Richmond, V. P., & McCroskey, J. C. (1992). Communication: Apprehension, avoidance, and effectiveness (3rd ed.). Gorsuch Scarisbrick.
• Richmond, V. P., Smith, R. S., Heisel, A. M., & McCroskey, J. C. (1998). The impact of communication apprehension and fear of talking with a physician and perceived medical outcomes. Communication Research Reports, 15(4), 344–353. https://doi.org/10.1080/08824099809362137
• Roter, D. L., & Hall, J. A. (2006). Doctors talking with patients/patients talking with doctors: Improving communication in medical visits (2nd ed.). Praeger.
• Street, R. L., Jr., Makoul, G., Arora, N. K., & Epstein, R. M. (2009). How does communication heal? Pathways linking clinician-patient communication to health outcomes. Patient Education and Counseling, 74(3), 295–301. https://doi.org/10.1016/j.pec.2008.11.015
• Ware, J. E., Snyder, M. K., Wright, W. R., & Davies, A. R. (1983). Defining and measuring patient satisfaction with medical care. Evaluation and Program Planning, 6(3–4), 247–263. https://doi.org/10.1016/0149-7189(83)90005-8

Items of the Scale