The Design and Testing of the Psychometric Properties of the Person Engagement Index Instrument to Measure a Person’s Capacity to Engage in Health Care

Background and Purpose:Patient engagement has been considered a powerful tool to improve health outcomes. A composite instrument to measure the factors that impact a person’s capacity to engage in his or her health care was an identified gap in the literature. This study developed and tested the psychometric properties of the Person Engagement Index (PEI) instrument.Methods:The instrument was tested among 338 medical–surgical inpatients at four health care systems (five facilities), with psychometric evaluation for validity, reliability, and exploratory factor analysis.Results:Exploratory factor analysis revealed a four-factor solution that accounted for 63.9% of the total variance. Internal consistency results were Cronbach’s α = .896 for the overall scale and each subscale: Engagement in Health Care = .885, Technology Use in Health Care = .854, Proactive Approach to Health Care = .728, and Psychosocial Support = .880.Conclusions:The results of the PEI study indicate that it is a valid and reliable instrument among the adult medical–surgical population. Further testing of the instrument is recommended among other populations and across the care continuum.

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The Development and Testing of the Psychometric Properties of the Emotional Response and Disclosure of Errors in Clinical Practice Instrument

Journal of Nursing Measurement ◽

10.1891/1061-3749.25.1.184 ◽

2017 ◽

Vol 25 (1) ◽

pp. 184-200 ◽

Cited By ~ 1

Author(s):

Ellen Swartwout ◽

Margaret Rodan

Keyword(s):

Factor Analysis ◽

Clinical Practice ◽

Psychometric Properties ◽

Exploratory Factor Analysis ◽

Health Care Professionals ◽

Emotional Response ◽

Psychometric Evaluation ◽

Consistency Results ◽

Reliable Instrument ◽

Potential Impact

Background and Purpose: A tool to measure the nurses’ emotional response after an error in clinical practice and the potential impact emotion can have on disclosure is lacking. This study tested the psychometric properties of the Emotional Response and Disclosure of Errors in Clinical Practice instrument. Methods: The instrument was tested among 497 nurses with psychometric evaluation for validity, reliability, and exploratory factor analysis. Results: Exploratory factor analysis revealed a 3-factor solution which accounted for 55.4% of the total variance. Internal consistency results were Cronbach’s alpha = .935 for the overall scale and each domain: concern = .907, anxiety = .888, and disbelief = .775. Conclusions: Use of this valid and reliable instrument in practice and education can assist with patient safety efforts. Further testing of the instrument is recommended among other health care professionals.

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Commitment to Change Among Health Care Workers in Pakistan

Journal of Health Management ◽

10.1177/0972063420938540 ◽

2020 ◽

Vol 22 (3) ◽

pp. 330-347

Author(s):

Haroon Bakari ◽

Ahmed Imran Hunjra ◽

Stephen Jaros

Keyword(s):

Health Care ◽

Factor Analysis ◽

Organizational Change ◽

Health Care Workers ◽

Health Care Systems ◽

Change Initiative ◽

Commitment To Change ◽

Research Attention ◽

Care Workers ◽

Care Systems

Commitment to organizational change as an important focus of commitment has received greater attention in the literature of action commitments. Research indicates that this construct represents employee attitude towards change initiative and may be a greater predictor of support for change. This is of particular import in health care systems, globally, and in developing nations, in particular, which are constantly seeking to change and adapt to new medical and administrative advances. However, commitment to change (C2C) has received very little research attention from Asian health care systems. Therefore, this study answers the call for validation, by validating a culture-specific translated version of the C2C scale in a sample drawn from the privatization context of public sector hospitals in Pakistan. The goals are to: (a) examine some psychometric properties of the major Western-derived measures of C2C in Pakistan to see if they are valid and reliable there; and (b) draw implications from our results for the management of change efforts in Pakistani health care systems. Thus, exploratory factor analysis and confirmatory factor analysis (CFA) were conducted using SPSS and analysis of moment structures (AMOS) to provide evidence of reliability, construct validity and predictive validity of C2C among Pakistani health care workers. Results found evidence of the measure’s cross-cultural validity and revealed a positive correlation between C2C and three dimensions of behavioural support for change. This study is a significant contribution to the literature, being the first to provide comprehensive evidence of validity of the C2C scale in Pakistan, a developing country. An important implication for leaders of organizational change in Pakistan is that they may use this construct to unearth employee level of understanding and attitude towards change initiative to envisage mechanisms to foster employee support for change. Researchers may also use this construct in Pakistan’s context to assess employee C2C.

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Validation of the care providers version of the Rainbow Model of Integrated Care-Measurement Tool in Chinese primary care systems

10.21203/rs.2.20137/v2 ◽

2020 ◽

Author(s):

Yixiang Huang ◽

Paiyi Zhu ◽

Lijin Chen ◽

Xin Wang ◽

Pim Valentijn

Keyword(s):

Primary Care ◽

Factor Analysis ◽

Psychometric Properties ◽

Integrated Care ◽

Exploratory Factor Analysis ◽

Internal Consistency ◽

Internal Consistency Reliability ◽

Measurement Tool ◽

Adaptation Process ◽

Care Systems

Abstract Background: The original Rainbow Model of Integrated Care Measurement Tool (RMIC-MT) is based on the Rainbow Model of Integrated Care (RMIC), which provides a comprehensive theoretical framework for integrated care. To translate and adapt the original care provider version of the RMIC-MT and evaluate its psychometric properties by a pilot study in Chinese primary care systems.Methods: The translation and adaptation process were performed in four steps, forward and back-translation, experts review and pre-testing. We conducted a cross-sectional study with 1610 community care professionals in all 79 community health stations in the Nanshan district. We analyzed the distribution of responses to each item to study the psychometric sensitivity. Exploratory factor analysis with principal axis extraction method and promax rotation was used to assess the construct validity. Cronbach’s alpha was utilized to ascertain the internal consistency reliability. Lastly, confirmation factor analysis was used to evaluate the exploratory factor analysis model fit.Results: During the translation and adaptation process, all 48 items were retained with some detailed modifications. No item was found to have psychometric sensitivity problems. Six factors (person- & community-centeredness, care integration, professional integration, organizational integration, cultural competence and technical competence) with 45 items were determined by exploratory factor analysis, accounting for 61.46% of the total variance. A standard Cronbach’s alpha of 0.940 and significant correlation among all items in the scale (>0.4) showed good internal consistency reliability of the tool. And, the model passed the majority of goodness-to-fit test by confirmation factor analysis Conclusions: The results showed initial satisfactory psychometric properties for the validation of the Chinese RMIC-MT provider version. Its application in China will promote the development of people-centered integrated primary care. However, further psychometric testing is needed in multiple primary care settings with both public and private community institutes.

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Validation of the care providers version of the Rainbow Model of Integrated Care-Measurement Tool in Chinese primary care systems

10.21203/rs.2.20137/v1 ◽

2020 ◽

Author(s):

Yixiang Huang ◽

Paiyi Zhu ◽

Lijin Chen ◽

Xin Wang ◽

Pim Valentijn

Keyword(s):

Primary Care ◽

Factor Analysis ◽

Psychometric Properties ◽

Integrated Care ◽

Exploratory Factor Analysis ◽

Care Provider ◽

Internal Consistency Reliability ◽

Measurement Tool ◽

Adaptation Process ◽

Care Systems

Abstract Background: The original Rainbow Model of Integrated Care Measurement Tool (RMIC-MT) is based on the Rainbow Model of Integrated Care, which provides a comprehensive theoretical framework for integrated care. To translate and adapt the original care provider version of the Rainbow Model of Integrated Care-Measurement Tool and evaluate its psychometric properties by a pilot study in Chinese primary care systems.Methods: The translation and adaptation process were performed in four steps, forward and back-translation, expert review and pre-testing. We conducted a cross-sectional study with 1610 community care professionals in all 79 community health stations in the Nanshan district. We analyzed the distribution of responses to each item to study the psychometric sensitivity. Exploratory factor analysis with principal axis extraction method and promax rotation was used to assess the construct validity. Pearson’s correlation was used to assess concurrent validity. Cronbach’s alpha was utilized to ascertain the internal consistency reliability. Lastly, confirmation factor analysis was used to evaluate the exploratory factor analysis model fit.Results: During the translation and adaptation process, all 55 items were retained with some detailed modifications. No item was found to have psychometric sensitivity problems. Eight factors were determined by exploratory factor analysis, accounting for 66.41% of the total variance. According to exploratory factor analysis and discussion with all authors, the original ten dimensions were adjusted to nine dimensions in the Chinese version. A standard Cronbach’s alpha of 0.960 and significant correlation among all items in the scale (>0.4) showed good internal consistency reliability of the tool. And, the model passed the majority of goodness-to-fit test by confirmation factor analysis Conclusions: The results showed initial satisfactory psychometric properties for the validation of the RMIC-MT care provider version. Its application in China will promote the development of people-centered integrated primary care. However, further psychometric testing is needed in multiple primary care settings with both public and private community institutes.

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Development and Psychometric Testing of the Older Adults’ Technology Use at Home Scale

Journal of Client-centered Nursing Care ◽

10.32598/jccnc.6.4.280.4 ◽

2020 ◽

Vol 6 (4) ◽

pp. 257-266

Author(s):

Fatemeh Sadat Izadi-Avanji ◽

◽

Malihe Yazdani Darki ◽

Keyword(s):

Older Adults ◽

Factor Analysis ◽

Psychometric Properties ◽

Exploratory Factor Analysis ◽

Internal Consistency ◽

Technology Use ◽

Intraclass Correlation ◽

Psychometric Testing ◽

Cluster Sampling ◽

At Home

Background: Aging is associated with changes in some capabilities. Using technology can help older adults to continue living independently at home. This study aimed to develop the Older Adults’ Technology Use at Home Scale (OATUHS) and evaluate its psychometric properties in the Iranian context. Methods: It was a sequential-exploratory mixed-method study for the development and psychometric testing of OATUHS. A draft scale with 15 items was generated based on a literature review and interviews with 20 older adults. The psychometric properties were assessed by testing the scale on 200 older adults referring to the Urban Comprehensive Health Service Centers of Kashan province, Iran. The multistage cluster sampling method was used to recruit the participants. Then, the face, content, and construct validities as well as internal consistency and stability reliability were assessed. The obtained data were analyzed using the SPSS, version 16. Also, the exploratory factor analysis was conducted using the principal component analysis and the varimax rotation method to determine the factors of the scale. Results: The OATUHS consisted of 12 items. Exploratory factor analysis resulted in two factors explaining 69.6% of the variance. The internal consistency of the scale was acceptable (r=0.88); it was 0.93 for the “in-kitchen technologies” and 0.87 for “out-of-kitchen technologies” dimensions. Besides, an intraclass correlation coefficient of 0.95 was estimated between the test and retest scores. Conclusion: The OATUHS is a valid and reliable tool for the measurement of the use of technology by older adults at home, in daily life.

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Chronic pain experience and health inequities during the COVID-19 pandemic in Canada: qualitative findings from the chronic pain & COVID-19 pan-Canadian study

International Journal for Equity in Health ◽

10.1186/s12939-021-01496-1 ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Lise Dassieu ◽

M. Gabrielle Pagé ◽

Anaïs Lacasse ◽

Maude Laflamme ◽

Vickie Perron ◽

...

Keyword(s):

Health Care ◽

Chronic Pain ◽

Health Care Services ◽

Psychosocial Support ◽

Health Care Systems ◽

Structured Interviews ◽

Public Attention ◽

Pain Experience ◽

Four Dimensions ◽

Care Systems

Abstract Background Chronic pain affects about 20 % of the Canadian population and can lead to physical, psychological and social vulnerabilities. However, this condition remains poorly recognized and undertreated. During 2020, as the COVID-19 pandemic disrupted daily living and health care systems, the situation of people with chronic pain has drawn little public attention. Methods This qualitative study was part of a pan-Canadian mixed-methods project and aimed to understand the experiences and challenges of people living with chronic pain during the COVID-19 pandemic in Canada. Between May and August 2020, we conducted in-depth semi-structured interviews with 22 individuals living with chronic pain across the country. We used reflexive thematic analysis to interpret data. Results Our findings underscored four dimensions of the chronic pain experience during the pandemic: (1) Reinforced vulnerability due to uncertainties regarding pain and its management; (2) Social network as a determinant of pain and psychological condition; (3) Increasing systemic inequities intermingling with the chronic pain experience; (4) More viable living conditions due to confinement measures. Though several participants reported improvements in their quality of life and reduced social pressure in the context of stay-at-home orders, participants from socio-economically deprived groups and minorities reported more challenges in accessing pain relief, health care services, and psychosocial support. Conclusions The COVID-19 pandemic has revealed and intensified pre-existing disparities and challenges among people living with chronic pain in terms of material resources, psychosocial condition, social support, and access to care. In post-pandemic times, it will be essential to address flaws in health and welfare policies to foster equity and social inclusiveness of people with chronic pain.

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