14 research outputs found

    Pediatric Health-Related Quality of Life: Feasibility, Reliability and Validity of the PedsQLâ„¢ Transplant Module

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    The measurement properties of the newly developed Pediatric Quality of Life Inventory™ (PedsQL™) 3.0 Transplant Module in pediatric solid organ transplant recipients were evaluated. Participants included pediatric recipients of liver, kidney, heart and small bowel transplantation who were cared for at seven medical centers across the United States and their parents. Three hundred and thirty-eight parents of children ages 2–18 and 274 children ages 5–18 completed both the PedsQL™ 4.0 Generic Core Scales and the Transplant Module. Findings suggest that child self-report and parent proxy-report scales on the Transplant Module demonstrated excellent reliability (total scale score for child self-report α= 0.93; total scale score for parent proxy-report α= 0.94). Transplant-specific symptoms or problems were significantly correlated with lower generic HRQOL, supporting construct validity. Children with solid organ transplants and their parents reported statistically significant lower generic HRQOL than healthy children. Parent and child reports showed moderate to good agreement across the scales. In conclusion, the PedsQL™ Transplant Module demonstrated excellent initial feasibility, reliability and construct validity in pediatric patients with solid organ transplants.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79306/1/j.1600-6143.2010.03149.x.pd

    Patient expectations for recovery after elective surgery: a common-sense model approach.

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    Patient perceptions of the causes of preoperative symptoms, expected impact of surgery on symptoms and anticipated timeline of recovery are likely to affect the risk of readmission following elective surgical procedures. However, these perceptions have not been studied. A qualitative study was designed to explore these perceptions, using the common-sense model of self-regulation (CSM) as the conceptual framework. CSM is grounded in illness representations, describing how patients make sense of changes in physical well-being (e.g. symptoms) and develop and assess management plans. It also establishes a broader framework for examining patients\u27 a priori expectations and timelines for outcomes based on comparisons to prior experiences and underlying self-prototypes, or Self as Anchor . A convenience sample of 14 patients aged 56-81 who underwent elective surgery was recruited. Semi-structured interviews informed by the CSM were completed on the day of discharge. Content analysis with deductive coding was used, and emerging themes were fit to components of the CSM, including the five domains of Illness Representations-identity, cause, timeline, control, and consequences. Two additional themes, outlook (toward the health care system, providers and recovery efforts), and motivation (external or internal for recovering), relate to self-prototypes, expectations for outcomes, and search for coherence. Misattribution of symptoms, unrealistic expectations for outcomes (e.g. expecting complete resolution of symptoms unrelated to the surgical procedure) and timelines for recovery (unrealistically short), and the (baseline) normal healthy self as distinct from the (temporarily) sick self were recurrent themes. Findings suggest that patient perceptions and the actual recovery process may be misaligned. The results underscore the importance of assessing patients\u27 perceptions and expectations, actively engaging patients in their own healthcare, and providing adequate support during the transition to home

    Correlates and outcomes of alcohol use after single solid organ transplantation: A systematic review and meta-analysis.

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    Abstract BACKGROUND: Reviews on alcohol use in transplant recipients focus on liver recipients and their risk of post-transplant rejection, but do not assess alcohol use in kidney, heart, or lung transplant recipients. This systematic review and meta-analysis aims to synthesize the evidence on correlates and outcomes of any alcohol use and at-risk drinking after solid organ transplantation (Tx). METHODS: We searched 4 databases for quantitative studies in adult heart, liver, kidney and lung Tx recipients, investigating associations between post-Tx alcohol use and correlates and/or clinical, economic or quality of life outcomes. Paper selection, data extraction and quality assessment were performed by 2 reviewers independently. A pooled odds ratio (OR) was computed for each correlate/outcome reported ≥5 times. RESULTS: Of the 5331 studies identified, 76 were included in this systematic review (93.3% on liver Tx; mean sample size 148.9 (SD = 160.2); 71.9% male; mean age 48.9 years (SD = 6.5); mean time post-Tx 57.7 months (SD = 23.1)). On average, 23.6% of patients studied used alcohol post-transplant. Ninety-three correlates of any post-Tx alcohol use were identified, and 9 of the 19 pooled ORs were significantly associated with a higher odds for any post-Tx alcohol use: male gender, being employed post-transplant, smoking pre-transplant, smoking post-transplant, a history of illicit drug use, having first-degree relatives who have alcohol-related problems, sobriety <6 months prior to transplant, a history of psychiatric illness, and having received treatment for alcohol-related problems pre-transplant. On average 15.1% of patients had at-risk drinking. A pooled OR was calculated for 6 of the 47 correlates of post-Tx at risk drinking investigated, of which pre-transplant smoking was the only correlate being significantly associated with this behavior. None of the outcomes investigated were significantly associated with any use or at-risk drinking. CONCLUSION: Correlates of alcohol use remain under-investigated in solid organ transplant recipients other than liver transplantation. Further research is needed to determine whether any alcohol use or at-risk drinking is associated with poorer post-transplant outcomes. Our meta-analysis highlights avenues for future research of higher methodological quality and improved clinical care. PROTOCOL REGISTRATION: PROSPERO protocol CRD42015003333
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