Measuring person‐centred care in nurse‐led outpatient rheumatology clinics

Bala, Sidona Valentina; Forslind, Kristina; Fridlund, Bengt; Hagell, Peter

doi:10.1002/msc.1234

Cited by 13 publications

(29 citation statements)

References 25 publications

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“…According to the quality of care δ values, the items originating from the subscales respect and integrity and information and knowledge were considered as easier to satisfy and the items originating from the subscales planning and decision making and motivation and encouragement were considered as more difficult to satisfy (Table ). This could be considered, qualitatively and when comparing to other scales, as creating successful hierarchical rulers. Despite some minor misfits and significant item‐trait interaction chi‐square tests ( P < 0.001), the cumulated fit statistics showed that the PPRQ‐17 acceptably satisfies the RMT (Table ).…”

Section: Resultsmentioning

confidence: 99%

“…Also, the content of PPRQ seems to corroborate a broader patient perspective; the understanding of staff; theories of PCC; and other similar questionnaires . However, recent Rasch validations of two other similar questionnaires, the Patient Preference for Patient Participation tool (The 4Ps) and Person‐Centered Care in outpatient care in rheumatology (PCCoc/rheum), suggest a unidimensionality for similar subcomponents as the PPRQ. Likewise, previous studies of the PPRQ using CTT revealed high correlations between the subscales, indicating a potential full scale for patient participation.…”

Section: Introductionmentioning

confidence: 82%

“…In practice, health care professionals can get feedback and be aware of each patient's experiences of care and, in turn, improve their person‐centredness accordingly . Likewise, experiences rated post‐discharge can be used as quality indicators in evaluating and developing care and rehabilitation programs or strategies . This raises the corresponding demands on quality assured measurements …”

Section: Introductionmentioning

confidence: 99%

“…Thus, the PPRQ was developed on the assumption that patient participation is a multidimensional concept, comprising five subscales: respect and integrity , planning and decision making , information and knowledge , motivation and encouragement , and involvement of family . Also, the content of PPRQ seems to corroborate a broader patient perspective; the understanding of staff; theories of PCC; and other similar questionnaires . However, recent Rasch validations of two other similar questionnaires, the Patient Preference for Patient Participation tool (The 4Ps) and Person‐Centered Care in outpatient care in rheumatology (PCCoc/rheum), suggest a unidimensionality for similar subcomponents as the PPRQ.…”

Section: Introductionmentioning

confidence: 99%

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Rasch analysis of the Patient Participation in Rehabilitation Questionnaire (PPRQ)

Melin

Fornazar

Spångfors

et al. 2019

Evaluation Clinical Practice

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Objective: To evaluate the Patient Participation in Rehabilitation Questionnaire (PPRQ) according to Rasch measurement theory.Method: Five hundred twenty-two post-discharge patients from a neurological rehabilitation unit were included. The PPRQ questionnaire comprises 20 items rated by a cohort of 522 patients about their experiences of participating in rehabilitation.The measurement properties of the PPRQ were evaluated by Rasch analysis of the responses. Results:The Rasch analysis of 20 items showed some major misfits, particularly three items addressing the involvement of family members. After removing those items, the model fit improved and no significant DIF remained. Despite improvements, person values (−2.96 to 4.86 logits) were not fully matched by the item values (−0.61 to 0.77 logits). Neither did the t test for unidimensionality meet the criterion of 5%, and local dependency was present. The unidimensionality and local dependency could, however, be accommodated for by four testlets. Conclusion:The PPRQ-17 showed that a ruler with a reasonable and clinical hierarchy can be constructed, although the expectations of dimensionality and local dependency need to be evaluated further. Despite room for further development, PPRQ-17 nevertheless shows improved measurement precision in terms of patient leniency compared with previous evaluations with classical test theory. In turn, this can play a crucial role when comparing different rehabilitation programs and planning tailored care development activities.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rasch analysis of the Patient Participation in Rehabilitation Questionnaire (PPRQ)

Melin

Fornazar

Spångfors

et al. 2019

Evaluation Clinical Practice

View full text Add to dashboard Cite

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“…This is a relatively common problem for this type of measure. For example, in a study of person-centered care (in which participation in care is an underlying concept) in nurse-led outpatient rheumatology clinics, there was also poor targeting of the scale for those experiencing higher levels of person-centered care [71]. If the goal is to examine people experiencing a very high level of participation in greater detail, with less error, it may be necessary to add more items at the end of the scale.…”

Section: Communication and Trustmentioning

confidence: 99%

Measuring next of kin’s experience of participation in the care of older people in nursing homes

et al. 2020

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Background Lack of conceptual clarity and measurement methods have led to underdeveloped efforts to measure experience of participation in care by next of kin to older people in nursing homes. Objective We sought to assess the measurement properties of items aimed at operationalizing participation in care by next of kin, applied in nursing homes. Methods A total of 37 items operationalizing participation were administered via a questionnaire to 364 next of kin of older people in nursing homes. Measurement properties were tested with factor analysis and Rasch model analysis. Results The response rate to the questionnaire was 81% (n = 260). Missing responses per item varied between <0.5% and 10%. The 37 items were found to be two-dimensional, and 19 were deleted based on conceptual reasoning and Rasch model analysis. One dimension measured communication and trust (nine items, reliability 0.87) while the other measured collaboration in care (nine items, reliability 0.91). Items successfully operationalized a quantitative continuum from lower to higher degrees of participation, and were found to generally fit well with the Rasch model requirements, without disordered thresholds or differential item functioning. Total scores could be calculated based on the bifactor subscale structure (reliability 0.92). Older people (� 65 years) reported a higher degree of communication and trust and bifactor total scores than younger people (p < 0.05 in both cases). People with a specific contact person experienced a higher degree of participation in the two subscales and the bifactor total score (p < 0.05 in all three instances).

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Assuring Measurement Quality in Person-Centered Care

Pendrill

Melin

2022

Springer Series in Measurement Science and Technology

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The quality-assurance of measurement in person-centered care (PCC) – is introduced firstly by “bookending” the topic in the overall context of the quality assurance of the care itself. At the start the chapter we ask: What are the end-user objects and constructs of PCC – for instance as specified by the profession and in legislation? At the end: What decisions about PCC objects and constructs can be made and how reliable are they? Examples and illustrations from PCC have included (i) neuropsychological cases (dealt with in more detail in the accompanying chapter by Melin and Pendrill (Person centered outcome metrology. Springer, 2022)) and (ii) patient participation. In the two central sections of the chapter, assuring the quality of measurement in PCC has obliged consideration of how traditional metrological concepts – particularly metrological references for comparability via traceability and reliable estimates of uncertainty – need to be extended. In providing an overview of the benefits of combining Rasch measurement theory and quality assurance, the unique properties of Rasch Measurement Theory are exploited to the full. Replacing the instrument at the heart of a traditional measurement system with a human being provides a truly “person-centered” model of the metrology. This in turn enables a viable procedure to establish metrological references in fields such as PCC in the form of “recipes” analogous to certified reference materials or procedures in analytical chemistry and materials science. It also informs the measurement uncertainties which determine the final decisions about PCC taken at the end of the chapter.

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Measuring person‐centred care in nurse‐led outpatient rheumatology clinics

Cited by 13 publications

References 25 publications

Rasch analysis of the Patient Participation in Rehabilitation Questionnaire (PPRQ)

Rasch analysis of the Patient Participation in Rehabilitation Questionnaire (PPRQ)

Measuring next of kin’s experience of participation in the care of older people in nursing homes

Assuring Measurement Quality in Person-Centered Care

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