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Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship

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Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship. / Drury, Amanda; Payne, Sheila; Anne-Marie, Brady.
In: Journal of Mixed Methods Research, Vol. 17, No. 3, 31.07.2023, p. 264-287.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Drury, A, Payne, S & Anne-Marie, B 2023, 'Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship', Journal of Mixed Methods Research, vol. 17, no. 3, pp. 264-287. https://doi.org/10.1177/15586898221134730

APA

Drury, A., Payne, S., & Anne-Marie, B. (2023). Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship. Journal of Mixed Methods Research, 17(3), 264-287. https://doi.org/10.1177/15586898221134730

Vancouver

Drury A, Payne S, Anne-Marie B. Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship. Journal of Mixed Methods Research. 2023 Jul 31;17(3):264-287. Epub 2022 Oct 22. doi: 10.1177/15586898221134730

Author

Drury, Amanda ; Payne, Sheila ; Anne-Marie, Brady. / Adapting the Pillar Integration Process for Theory Development : The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship. In: Journal of Mixed Methods Research. 2023 ; Vol. 17, No. 3. pp. 264-287.

Bibtex

@article{d1a955aaad27438a97e5188320016fc0,
title = "Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship",
abstract = "Mixed methods research offers a unique opportunity to advance understanding of a phenomenon. However, practical guidance on the use of mixed methods to develop theoretical frameworks is limited. We present a novel adaptation of the Pillar Integration Process (PIP) to support development and refinement of a theoretical framework explaining the processes by which healthcare factors influence cancer survivors{\textquoteright} quality of life. Deductive integration of quantitative and qualitative data, guided by an a priori conceptual model, illuminates the nuances of the relationship between the concepts of interest, producing a theoretical framework, the Model of Healthcare factors influencing Quality of Life in Cancer Survivorship (MoHaQ-CS).",
keywords = "Statistics, Probability and Uncertainty, Social Sciences (miscellaneous), Education",
author = "Amanda Drury and Sheila Payne and Brady Anne-Marie",
year = "2023",
month = jul,
day = "31",
doi = "10.1177/15586898221134730",
language = "English",
volume = "17",
pages = "264--287",
journal = "Journal of Mixed Methods Research",
issn = "1558-6898",
publisher = "Sage Publications",
number = "3",

}

RIS

TY - JOUR

T1 - Adapting the Pillar Integration Process for Theory Development

T2 - The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship

AU - Drury, Amanda

AU - Payne, Sheila

AU - Anne-Marie, Brady

PY - 2023/7/31

Y1 - 2023/7/31

N2 - Mixed methods research offers a unique opportunity to advance understanding of a phenomenon. However, practical guidance on the use of mixed methods to develop theoretical frameworks is limited. We present a novel adaptation of the Pillar Integration Process (PIP) to support development and refinement of a theoretical framework explaining the processes by which healthcare factors influence cancer survivors’ quality of life. Deductive integration of quantitative and qualitative data, guided by an a priori conceptual model, illuminates the nuances of the relationship between the concepts of interest, producing a theoretical framework, the Model of Healthcare factors influencing Quality of Life in Cancer Survivorship (MoHaQ-CS).

AB - Mixed methods research offers a unique opportunity to advance understanding of a phenomenon. However, practical guidance on the use of mixed methods to develop theoretical frameworks is limited. We present a novel adaptation of the Pillar Integration Process (PIP) to support development and refinement of a theoretical framework explaining the processes by which healthcare factors influence cancer survivors’ quality of life. Deductive integration of quantitative and qualitative data, guided by an a priori conceptual model, illuminates the nuances of the relationship between the concepts of interest, producing a theoretical framework, the Model of Healthcare factors influencing Quality of Life in Cancer Survivorship (MoHaQ-CS).

KW - Statistics, Probability and Uncertainty

KW - Social Sciences (miscellaneous)

KW - Education

U2 - 10.1177/15586898221134730

DO - 10.1177/15586898221134730

M3 - Journal article

VL - 17

SP - 264

EP - 287

JO - Journal of Mixed Methods Research

JF - Journal of Mixed Methods Research

SN - 1558-6898

IS - 3

ER -