Psychometric Properties of the PDRQ-9 in Cancer Patients: Patient-Doctor Relationship Questionnaire

Garrido, Caterina Calderón; Lorenzo‐Seva, Urbano; Ferrando, Pere J.; Martínez-Cabañes, Ruth; Higuera, Oliver; Gómez-Sánchez, David; Lois, María; Pacheco-Barcía, Vilma; Hernández, R; Fernández‐Andújar, Marina; García, Estrella Ferreira; Carmona‐Bayonas, Alberto; Fonseca, Paula

doi:10.7334/psicothema2020.393

Psicothema

2021

DOI: 10.7334/psicothema2020.393

|View full text |Cite

Psychometric Properties of the PDRQ-9 in Cancer Patients: Patient-Doctor Relationship Questionnaire

Caterina Calderón Garrido

Urbano Lorenzo‐Seva²,

Pere J. Ferrando³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Defining quality categories for evaluation of the doctor–patient relationship assessed through the patient–doctor relationship questionnaire (PDRQ-9)

Wollmann,

Hauser,

van der Feltz-Cornelis

et al. 2024

Family Practice

View full text Add to dashboard Cite

Background The quality of the doctor–patient relationship plays a crucial role in patients’ experiences with healthcare services, positively influencing clinical outcomes and satisfaction with care. The Patient–Doctor Relationship Questionnaire (PDRQ-9) is widely used to assess this relationship. However, there are no quality categories that can be derived from the instrument’s score to facilitate understanding and decision-making. Objectives This study aims to establish categories of the quality of the relationship based on the PDRQ-9 score. Methods A latent class analysis (LCA) was conducted using interviews with 6160 users of primary health care units throughout Brazil to define different homogeneous response profiles. The Youden index was used to determine the cut point between classes. Results LCA identified the presence of two response profiles, one associated with a high evaluation of the quality of the doctor–patient relationship and another associated with a moderate evaluation. The cut point between classes, established through the Youden index, was 3.5 (on a possible score range of 1–5) or 31 (on a possible score range of 9–45). The cut point demonstrated high accuracy (0.94), sensitivity (0.96), and specificity (0.98). Conclusions The categorization proposed in this study enhances the interpretability of PDRQ-9 results, providing a practical framework for assessing the quality of the doctor–patient relationship. By establishing actionable quality categories, this tool could support targeted interventions, such as performance feedback and training, aimed at fostering empathy, communication, and trust in healthcare settings.

show abstract

Defining quality categories for evaluation of the doctor–patient relationship assessed through the patient–doctor relationship questionnaire (PDRQ-9)

Wollmann,

Hauser,

van der Feltz-Cornelis

et al. 2024

Family Practice

View full text Add to dashboard Cite

show abstract

Role of Health Literacy, Social Support, Patient-Physician Relationship, and Health-Related Quality of Life in Predicting Medication Adherence in Cardiovascular Diseases in Oman

Al-Noumani¹,

Omari²,

Al-Naamani³

2023

PPA

View full text Add to dashboard Cite

Cardiovascular diseases (CVDs) remain a global health threat, and medication adherence remains low. Medication adherence is a complex phenomenon and is affected by many factors that require investigation. Oman has limited literature examining medication adherence and influencing factors among patients with CVDs. This study examined the influence of health literacy, social support, the patient-physician relationship, and health-related quality of life on medication adherence among patients with cardiovascular diseases. Patients and Methods: This cross-sectional study used a correlation design. The study included 360 participants with CVDs. Descriptive statistics, independent t-test, one-way ANOVA, and multiple regression analysis were utilized for data analyses. Results: Findings revealed that higher social support (B=0.117; p=0.033), good patient-physician relationship (B=0.124; p < 0.01), better mental health (B=0.045; p < 0.01), more bodily pain (B=0.030; p < 0.01), and unemployment (B=1.297; p < 0.01) were predictors of higher adherence. High school education and above predicted lower medication adherence (B= −1.255; p= 0.019), while health literacy was not a significant predictor of medication adherence (B= 0.061; p= 0.289). Conclusion:To improve medication adherence, healthcare providers and researchers should consider improving patients' social support, mental health, and the patient-physician relationship. In addition, patients' socioeconomic status should always be considered and examined as an influencing factor of medication adherence.

show abstract

The Chinese version of patient-doctor-relationship questionnaire (PDRQ-9): Factor structure, validation, and IRT psychometric analysis

Wang

Wu²,

Jiang³

et al. 2023

Front. Psychiatry

View full text Add to dashboard Cite

ObjectiveThe patient-doctor relationship has been considered as a crucial concept in primary healthcare, while the medical reform launched by the Chinese government in 2009 has brought significant changes to the healthcare system, which made it urgent to introduce reliable measurement instruments for assessing today’s doctor-patient relationship in China. This study examined the psychometric properties of the Chinese version of the Patient-Doctor-Relationship Questionnaire-9 item (PDRQ-9) scale among general hospital inpatients in China.Materials and methodsA total of 203 participants responded to the survey, of which 39 completed retest after 7 days. Factor analyses were used to test the construct validity of the scale. Convergent validity was evaluated by the correlation between PDRQ-9 and depressive symptoms measured using PHQ-9 (Patient Health Questionnaire Depression Scale-9 item). Both multidimensional item response theory (MIRT) and unidimensional item response theory (IRT) framework were used to estimate the parameters of each item.ResultsThe two-factor model of relationship quality and treatment quality was supported (χ2/df = 1.494, GFI = 0.925, RMSEA = 0.071, RMR = 0.008, CFI = 0.985, NFI = 0.958, NNFI = 0.980, TLI = 0.980, IFI = 0.986). The PDRQ-9 and both subscales showed significant correlation with PHQ-9 (r = −0.196∼−0.309) and good internal consistency (Cronbach’s alpha = 0.865∼0.933). ANCOVA analysis adjusted with age revealed significant difference in PDRQ-9 ratings between patients with or without significant depressive symptoms (P = 0.019). The 7-day test-retest reliability of the scale was 0.730. The MIRT model of full scale and IRT models of both subscales showed high discrimination of all items (a = 2.46∼38.46), and the test information within the range of low-quality relationship was relatively high.ConclusionThe Chinese version of PDRQ-9 is a valid and reliable rating scale, which can measure the doctor-patient relationship among Chinese patients.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Psychometric Properties of the PDRQ-9 in Cancer Patients: Patient-Doctor Relationship Questionnaire

Cited by 4 publications

References 10 publications

Defining quality categories for evaluation of the doctor–patient relationship assessed through the patient–doctor relationship questionnaire (PDRQ-9)

Defining quality categories for evaluation of the doctor–patient relationship assessed through the patient–doctor relationship questionnaire (PDRQ-9)

Role of Health Literacy, Social Support, Patient-Physician Relationship, and Health-Related Quality of Life in Predicting Medication Adherence in Cardiovascular Diseases in Oman

The Chinese version of patient-doctor-relationship questionnaire (PDRQ-9): Factor structure, validation, and IRT psychometric analysis

Contact Info

Product

Resources

About