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Australian Journal of Primary Health Australian Journal of Primary Health Society
The issues influencing community health services and primary health care
RESEARCH ARTICLE

Development and psychometric testing of a patient-reported inventory to measure patient-centred care in dietetic practice

Ishtar Sladdin https://orcid.org/0000-0003-1544-0087 A C , Wendy Chaboyer B , Lauren Ball A and Brigid M. Gillespie B
+ Author Affiliations
- Author Affiliations

A School of Allied Health Sciences, Griffith University, Parklands Drive, Southport, Qld 4215, Australia.

B School of Nursing and Midwifery, Griffith University, 1 Parklands Drive, Southport, Qld 4222, Australia.

C Corresponding author. Email: i.sladdin@griffith.edu.au

Australian Journal of Primary Health 25(6) 547-554 https://doi.org/10.1071/PY19055
Submitted: 08 March 2019  Accepted: 23 August 2019   Published: 22 November 2019

Abstract

To develop and psychometrically test a conceptually grounded patient-reported inventory to measure patient-centred care (PCC) in dietetics. Development of the inventory involved conducting a literature search and selecting previously validated scales to reflect the conceptual model of PCC that was developed by the research team. Next, a cross-sectional survey of patients attending individual consultations with Accredited Practicing Dietitians working in primary care was undertaken. To evaluate the factor structure of the inventory, exploratory factor analysis was performed using principal component analysis. Cronbach’s α, inter-item correlations and corrected-item total correlations were computed to test the internal consistency reliability. A total of 133 patients completed the survey. Five factors were extracted, accounting for 78.4% of the variance. All items demonstrated significant loadings (i.e. ≥0.45) and most items had significant loadings on only one factor. High Cronbach’s α values (ranging 0.87–0.97), inter-item correlations (0.46–0.89) and corrected item-total correlations (0.61–0.90) indicated good internal consistency of the inventory, but also potential item redundancy. This study provides the first patient-reported measure of PCC in dietetic practice, which has promising preliminary validity and reliability. With further testing, there is potential for this inventory to be used in future dietetic practice, research and education.

Additional keywords: dietitians, measurement instrument, patients’ views, validity and reliability.


References

Artino AR, La Rochelle JS, Dezee KJ, Gehlbach H (2014) Developing questionnaires for educational research: AMEE Guide No. 87. Medical Teacher 36, 463–474.
Developing questionnaires for educational research: AMEE Guide No. 87.Crossref | GoogleScholarGoogle Scholar | 24661014PubMed |

Australian Commission on Safety and Quality in Healthcare (2010) Patient-centred care: improving quality and safety by focusing care on patients and consumers. (ACSQHC: Canberra, ACT, Australia) Available at https://www.safetyandquality.gov.au/publications/patient-centred-care-improving-quality-and-safety-through-partnerships-with-patients-and-consumers/pcc_paper_august-2/ [Verified 6 March 2019]

Australian Commission on Safety and Quality in Healthcare (2012) Review of patient experience and satisfaction surveys conducted within public and private hospitals in Australia. (ACSQHC: Canberra, ACT, Australia) Available at https://www.safetyandquality.gov.au/wp-content/uploads/2012/03/Review-of-Hospital-Patient-Experience-Surveys-conducted-by-Australian-Hospitals-30-March-2012-FINAL.pdf [Verified 6 March 2019]

Ballesteros J, Moral E, Brieva L, Ruiz-Beato E, Prefasi D, Maurino J (2017) Psychometric properties of the SDM-Q-9 questionnaire for shared decision-making in multiple sclerosis: item response theory modelling and confirmatory factor analysis. Health and Quality of Life Outcomes 15, 79
Psychometric properties of the SDM-Q-9 questionnaire for shared decision-making in multiple sclerosis: item response theory modelling and confirmatory factor analysis.Crossref | GoogleScholarGoogle Scholar | 28431587PubMed |

Brännström M, Boman K (2014) Effects of person-centred and integrated chronic heart failure and palliative home care. PREFER: a randomized controlled study. European Journal of Heart Failure 16, 1142–1151.
Effects of person-centred and integrated chronic heart failure and palliative home care. PREFER: a randomized controlled study.Crossref | GoogleScholarGoogle Scholar | 25159126PubMed |

Cubaka VK, Schriver M, Vedsted P, Makoul G, Kallestrup P (2018) Measuring patient-provider communication skills in Rwanda: selection, adaptation and assessment of psychometric properties of the Communication Assessment Tool. Patient Education and Counseling 101, 1601–1610.
Measuring patient-provider communication skills in Rwanda: selection, adaptation and assessment of psychometric properties of the Communication Assessment Tool.Crossref | GoogleScholarGoogle Scholar | 29724432PubMed |

de Silva D (2014) Helping measure person-centred care: a review of evidence about commonly used approaches and tools used to help measure person-centred care. (Health Foundation: London, UK) Available at https://www.health.org.uk/publications/helping-measure-person-centred-care [Verified 6 March 2019]

de Vaus DA (2002) ‘Surveys in Social Research, 5th edn.’ (Allen & Unwin: Crows Nest, NSW, Australia)

Ferketich S (1990) Focus on psychometrics. Internal consistency estimates of reliability. Research in Nursing & Health 13, 437–440.
Focus on psychometrics. Internal consistency estimates of reliability.Crossref | GoogleScholarGoogle Scholar |

Ferranti DE, Makoul G, Forth VE, Rauworth J, Lee J, Williams MV (2010) Assessing patient perceptions of hospitalist communication skills using the Communication Assessment Tool (CAT). Journal of Hospital Medicine 5, 522–527.
Assessing patient perceptions of hospitalist communication skills using the Communication Assessment Tool (CAT).Crossref | GoogleScholarGoogle Scholar | 21162155PubMed |

Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (2006) ‘Multivariate Data Analysis, 6th edn.’ (Pearson Prentice Hall: Upper Saddle River, NJ, USA)

Holliday RC, Cano S, Freeman JA, Playford ED (2007) Should patients participate in clinical decision making? An optimised balance block design controlled study of goal setting in a rehabilitation unit. Journal of Neurology, Neurosurgery, and Psychiatry 78, 576–580.
Should patients participate in clinical decision making? An optimised balance block design controlled study of goal setting in a rehabilitation unit.Crossref | GoogleScholarGoogle Scholar | 17178823PubMed |

Hörnsten Å, Lundman B, Stenlund H, Sandström H (2005) Metabolic improvement after intervention focusing on personal understanding in type 2 diabetes. Diabetes Research and Clinical Practice 68, 65–74.
Metabolic improvement after intervention focusing on personal understanding in type 2 diabetes.Crossref | GoogleScholarGoogle Scholar | 15811567PubMed |

Kingsley C, Patel S (2017) Patient-reported outcome measures and patient-reported experience measures. BJA Education 17, 137–144.
Patient-reported outcome measures and patient-reported experience measures.Crossref | GoogleScholarGoogle Scholar |

Kriston L, Scholl I, Holzel L, Simon D, Loh A, Harter M (2010) The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample. Patient Education and Counseling 80, 94–99.
The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample.Crossref | GoogleScholarGoogle Scholar | 19879711PubMed |

Lance CE, Butts MM, Michels LC (2006) The sources of four commonly reported cutoff criteria: what did they really say? Organizational Research Methods 9, 202–220.
The sources of four commonly reported cutoff criteria: what did they really say?Crossref | GoogleScholarGoogle Scholar |

MacCallum RC, Widaman KF, Zhang S, Hong S (1999) Sample size in factor analysis. Psychological Methods 4, 84–99.
Sample size in factor analysis.Crossref | GoogleScholarGoogle Scholar |

Makoul G, Krupat E, Chang CH (2007) Measuring patient views of physician communication skills: development and testing of the Communication Assessment Tool. Patient Education and Counseling 67, 333–342.
Measuring patient views of physician communication skills: development and testing of the Communication Assessment Tool.Crossref | GoogleScholarGoogle Scholar | 17574367PubMed |

Osborne JW, Costello AB, Kellow JT (2008) Best practices in exploratory factor analysis. Practical Assessment, Research & Evaluation 10, 86–99.

Ridd MJ, Lewis G, Peters TJ, Salisbury C (2011) Patient-doctor depth-of-relationship scale: development and validation. Annals of Family Medicine 9, 538–545.
Patient-doctor depth-of-relationship scale: development and validation.Crossref | GoogleScholarGoogle Scholar | 22084265PubMed |

Rodenburg-Vandenbussche S, Pieterse AH, Kroonenberg PM, Scholl I, van der Weijden T, Luyten GP, Kruitwagen RF, den Ouden H, Carlier IV, van Vliet IM, Zitman FG, Stiggelbout AM (2015) Dutch translation and psychometric testing of the 9-item Shared Decision Making Questionnaire (SDM-Q-9) and Shared Decision Making Questionnaire-Physician Version (SDM-Q-Doc) in primary and secondary care. PLoS ONE 10, e0132158
Dutch translation and psychometric testing of the 9-item Shared Decision Making Questionnaire (SDM-Q-9) and Shared Decision Making Questionnaire-Physician Version (SDM-Q-Doc) in primary and secondary care.Crossref | GoogleScholarGoogle Scholar | 26151946PubMed |

Schmidt L (2001) The development and testing of a measure of patient satisfaction within nursing care. PhD thesis. University of Miami, FL, USA.

Scholl I, Zill JM, Harter M, Dirmaier J (2014) An integrative model of patient-centeredness – a systematic review and concept analysis. PLoS ONE 9, e107828
An integrative model of patient-centeredness – a systematic review and concept analysis.Crossref | GoogleScholarGoogle Scholar | 25532118PubMed |

Sladdin I, Ball L, Bull C, Chaboyer W (2017) Patient-centred care to improve dietetic practice: an integrative review. Journal of Human Nutrition and Dietetics 30, 453–470.
Patient-centred care to improve dietetic practice: an integrative review.Crossref | GoogleScholarGoogle Scholar | 28124489PubMed |

Sladdin I, Chaboyer W, Ball L (2018) Patients’ perceptions and experiences of patient‐centred care in dietetic consultations. Journal of Human Nutrition and Dietetics 31, 188–196.
Patients’ perceptions and experiences of patient‐centred care in dietetic consultations.Crossref | GoogleScholarGoogle Scholar | 28891086PubMed |

Sladdin I, Gillespie BM, Ball L, Chaboyer W (2019) Development and psychometric testing of an inventory to measure patient‐centred care in dietetic practice–dietitian version. Journal of Human Nutrition and Dietetics 32, 535–546.
Development and psychometric testing of an inventory to measure patient‐centred care in dietetic practice–dietitian version.Crossref | GoogleScholarGoogle Scholar | 30972816PubMed |

Slater P, McCance T, McCormack B (2017) The development and testing of the Person-centred Practice Inventory–Staff (PCPI–S). International Journal for Quality in Health Care 29, 541–547.
The development and testing of the Person-centred Practice Inventory–Staff (PCPI–S).Crossref | GoogleScholarGoogle Scholar | 28586441PubMed |

Slawson DL, Fitzgerald N, Morgan KT (2013) Position of the Academy of Nutrition and Dietetics: the role of nutrition in health promotion and chronic disease prevention. Journal of the Academy of Nutrition and Dietetics 113, 972–979.
Position of the Academy of Nutrition and Dietetics: the role of nutrition in health promotion and chronic disease prevention.Crossref | GoogleScholarGoogle Scholar | 23790411PubMed |

Stausmire JM, Cashen CP, Myerholtz L, Buderer N (2015) Measuring general surgery residents’ communication skills from the patient’s perspective using the Communication Assessment Tool (CAT). Journal of Surgical Education 72, 108–116.
Measuring general surgery residents’ communication skills from the patient’s perspective using the Communication Assessment Tool (CAT).Crossref | GoogleScholarGoogle Scholar | 25139607PubMed |