Health Locus of Control After Lung Transplantation: Implications for Managing Health

Dabbs, Annette De Vito; Kim, Yookyung; Hamdan‐Mansour, Ayman M.; Thibodeau, Anecia; Curry, Kimberly

doi:10.1007/s10880-006-9038-3

Cited by 7 publications

(9 citation statements)

References 39 publications

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“…was a significant correlate of membership in the persistently nonadherent group, which is consistent with findings of Dew et al 8 that having a weaker belief that one's own actions influenced health outcomes increased the odds of being persistently nonadherent to performing spirometry. While the mean score of internal health locus of control for our overall sample is comparable to that in previous reports, 13,33 our results showed that the persistently nonadherent group possessed a significantly lower internal health locus of control than the moderately adherent group. This is not surprising because possessing a lower internal health locus of control indicates weaker belief that one has control over one's own health.…”

Section: Having Lower Internal Health Locus Of Control Beliefs At Bassupporting

confidence: 87%

Patterns and correlates of adherence to self‐monitoring in lung transplant recipients during the first 12 months after discharge from transplant

Dabbs

Dew

et al. 2017

Clinical Transplantation

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Self-monitoring of lung function, vital signs, and symptoms is crucial for lung transplant recipients (LTRs) to ensure early detection of complications and prompt intervention. This study sought to identify patterns and correlates of adherence to self-monitoring among LTRs over the first 12-months post-discharge from transplant. This study analyzed existing data from the usual care arm participants of a randomized clinical trial who tracked self-monitoring activities using paper-and-pencil logs. Adherence was calculated as the percent of days LTRs recorded any self-monitoring data per interval: hospital discharge-2 months, 3–6 months, and 7–12 months. The sample (N=91) was mostly white (87.9%), male (61.5%), with a mean age of 57.2±13.8 years. Group-based trajectory analyses revealed 2 groups: 1) moderately adherent with slow decline (n=29, 31.9%) and 2) persistently nonadherent (n=62, 68.1%). Multivariate binary logistic regression revealed the following baseline factors increased the risk in the persistently nonadherent group: female (p=.035), higher anxiety (p=.008), and weaker sense of personal control over health (p=.005). Poorer physical health over 12-months were associated with increased risk in the persistently nonadherent group (p=.004). This study highlighted several modifiable factors for future interventions to target, including reducing post-transplant anxiety, and strengthening sense of personal control over health in LTRs.

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Section: Having Lower Internal Health Locus Of Control Beliefs At Bassupporting

confidence: 87%

Patterns and correlates of adherence to self‐monitoring in lung transplant recipients during the first 12 months after discharge from transplant

Dabbs

Dew

et al. 2017

Clinical Transplantation

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“…Patients felt that some clinicians did not understand or address their priorities, such as the impact of medications on pregnancy and in the peripartum period 22,41,46,67 . They felt they were helpless and at the mercy of their clinicians with limited input in decision‐making like a “passenger in a plane.” 41,52,91,92 Other patients, who felt they did not understand management decisions about their medications, listened and followed clinicians’ instructions but felt it was not their choice 57,93 …”

Section: Resultsmentioning

confidence: 99%

“…Clarity with knowledge Some patients wanted to learn "everything there is to know about…medications," whereas others felt that "until it affects you, you know nothing about it" and through experiencing challenges they became "experts." 30,36,37,49,63,91,93,103,107 Often they searched the Internet and books to find more information about side effects of medications.…”

Section: Gaining and Seeking Confidencementioning

confidence: 99%

Perspectives of solid organ transplant recipients on medicine-taking: Systematic review of qualitative studies

Tang

Kerklaan

Wong

et al. 2021

American Journal of Transplantation

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Medicine-taking has a paramount role in minimizing graft loss and maximizing health outcomes in solid organ transplant recipients; however, medication regimens are complex and challenging. [1][2][3] These include immunosuppressants and medications to manage comorbidities such as cardiovascular disease, diabetes, and prevent potentially life-threatening transplant complications such as infections over a lifetime. 1,4 The World Health Organization defines adherence as "the extent to which a person's behaviortaking medication, following a diet, and/or executing lifestyle changes, corresponds with agreed recommendations from a

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“…Subscale scores range from 6 to 36 with higher subscale scores indicating greater internality or externality. Cronbach's alpha for the two subscales ranged between 0.67 and 0.78 in samples, including LTR [40][41][42].…”

Section: Methodsmentioning

confidence: 99%

Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation

et al. 2016

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SummaryObjectives: To describe lung transplant recipients (LTRs') acceptance and use of mobile technology for health self-monitoring during the first year post-transplantation, and explore correlates of the use of technology in the 0 to 2, >2 to ≤6, >6 to ≤12, and 0 to 12 months. Methods: Secondary analysis of data from 96 LTR assigned to use Pocket PATH ® , a smartphone application, for daily health self-monitoring in a randomized controlled trial. Use of Pocket PATH was categorized as low, moderate, and high use. Proportional odds models for ordinal logistic regression were employed to explore correlates of use of technology. Results: LTR reported high acceptance of Pocket PATH at baseline. However, acceptance was not associated with actual use over the 12 months (p=0.45~0.96). Actual use decreased across time intervals (p<0.001). Increased self-care agency was associated with the increased odds of higher use in women (p=0.03) and those less satisfied with technology training (p=0.02) in the first 2 months. Higher use from >2 to ≤6 months was associated with greater satisfaction with technology training (OR=3.37, p=0.01) and shorter length of hospital stay (OR=0.98, p=0.02). Higher use from >6 to ≤12 months was associated with older age (OR=1.05, p=0.02), lower psychological distress (OR=0.43, p=0.02), and better physical functioning (OR=1.09, p=0.01). Higher use over 12 months was also associated with older age (OR=1.05, p=0.007), better physical functioning (OR=1.13, p=0.001), and greater satisfaction with technology training (OR=3.05, p=0.02). Conclusions: Correlates were different for short-and long-term use of mobile technology for health self-monitoring in the first year post-transplantation. It is important to follow up with LTR with longer hospital stay, poor physical functioning, and psychological distress, providing ongoing education to improve their long-term use of technology for health self-monitoring.

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Health Locus of Control After Lung Transplantation: Implications for Managing Health

Cited by 7 publications

References 39 publications

Patterns and correlates of adherence to self‐monitoring in lung transplant recipients during the first 12 months after discharge from transplant

Patterns and correlates of adherence to self‐monitoring in lung transplant recipients during the first 12 months after discharge from transplant

Perspectives of solid organ transplant recipients on medicine-taking: Systematic review of qualitative studies

Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation

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