The Rhinoplasty Health Care Monitor: Using Validated Questionnaires and a Web-Based Outcome Dashboard to Evaluate Personal Surgical Performance

Zijl, Floris V.W.J. van; Lohuis, Peter J. F. M.; Datema, Frank R.

doi:10.1089/fpsam.2020.0549

Cited by 8 publications

(14 citation statements)

References 17 publications

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“…After removing duplicates, 2360 records were screened on title-abstract, and 83 records were screened on full text. Three studies were found through hand searching [24][25][26]. Finally, 13 quantitative studies [24,25,[27][28][29][30][31][32][33][34][35][36] and three qualitative studies [10,11,37] met the inclusion criteria.…”

Section: Resultsmentioning

confidence: 99%

“…Three studies were found through hand searching [24][25][26]. Finally, 13 quantitative studies [24,25,[27][28][29][30][31][32][33][34][35][36] and three qualitative studies [10,11,37] met the inclusion criteria. Research questions 1 and 2 are addressed in the "Quantitative studies" section, and research question 3 is addressed in the "Qualitative studies" section.…”

Section: Resultsmentioning

confidence: 99%

“…The search yielded two randomized controlled trials [24,28], eight non-randomized controlled studies [25-27, 29, 30, 33, 34, 36] and three single-centre descriptive studies [31,32,35]. Studies were performed in the United States [24,26,27,35], United Kingdom [30,32,34], Netherlands [25,33], Sweden [31], Denmark [29], Canada [36] and Ireland [28]. Twelve studies focused on patients from surgical specialties, including orthopaedic [26,28,30,32,35], thoracic [29,33], urologic [27,36], ophthalmic [31], rhinoplastic [25] and general surgery [34].…”

Section: Study Characteristicsmentioning

confidence: 99%

“…Studies were performed in the United States [24,26,27,35], United Kingdom [30,32,34], Netherlands [25,33], Sweden [31], Denmark [29], Canada [36] and Ireland [28]. Twelve studies focused on patients from surgical specialties, including orthopaedic [26,28,30,32,35], thoracic [29,33], urologic [27,36], ophthalmic [31], rhinoplastic [25] and general surgery [34]. One study focused on primary care [24].…”

Section: Study Characteristicsmentioning

confidence: 99%

“…In eight studies, data were obtained from a regional or national quality registry [27,[29][30][31][32][33][34][35]. The included studies used generic PROMs [30,33], disease-specific PROMs [25,27,29,31] or a combination of generic and specific PROMs [24,26,28,32,[34][35][36].…”

Section: Study Characteristicsmentioning

confidence: 99%

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Quality improvements of healthcare trajectories by learning from aggregated patient-reported outcomes: a mixed-methods systematic literature review

Dorr

Hof

Jelsma

et al. 2022

Health Res Policy Sys

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Background In healthcare, analysing patient-reported outcome measures (PROMs) on an aggregated level can improve and regulate healthcare for specific patient populations (meso level). This mixed-methods systematic review aimed to summarize and describe the effectiveness of quality improvement methods based on aggregated PROMs. Additionally, it aimed to describe barriers, facilitators and lessons learned when using these quality improvement methods. Methods A mixed-methods systematic review was conducted. Embase, MEDLINE, CINAHL and the Cochrane Library were searched for studies that described, implemented or evaluated a quality improvement method based on aggregated PROMs in the curative hospital setting. Quality assessment was conducted via the Mixed Methods Appraisal Tool. Quantitative data were synthesized into a narrative summary of the characteristics and findings. For the qualitative analysis, a thematic synthesis was conducted. Results From 2360 unique search records, 13 quantitative and three qualitative studies were included. Four quality improvement methods were identified: benchmarking, plan-do-study-act cycle, dashboards and internal statistical analysis. Five studies reported on the effectiveness of the use of aggregated PROMs, of which four identified no effect and one a positive effect. The qualitative analysis identified the following themes for facilitators and barriers: (1) conceptual (i.e. stakeholders, subjectivity of PROMs, aligning PROMs with clinical data, PROMs versus patient-reported experience measures [PREMs]); (2a) methodological—data collection (i.e. choice, timing, response rate and focus); (2b) methodological—data processing (i.e. representativeness, responsibility, case-mix control, interpretation); (3) practical (i.e. resources). Conclusion The results showed little to no effect of quality improvement methods based on aggregated PROMs, but more empirical research is needed to investigate different quality improvement methods. A shared stakeholder vision, selection of PROMs, timing of measurement and feedback, information on interpretation of data, reduction of missing data, and resources for data collection and feedback infrastructure are important to consider when implementing and evaluating quality improvement methods in future research.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

See 3 more Smart Citations

Quality improvements of healthcare trajectories by learning from aggregated patient-reported outcomes: a mixed-methods systematic literature review

Dorr

Hof

Jelsma

et al. 2022

Health Res Policy Sys

View full text Add to dashboard Cite

show abstract

Implementation and impact of a surgical dashboard on pediatric tonsillectomy outcomes: A quality improvement study

Dang,

Román,

Donner

et al. 2024

Laryngoscope Investig Oto

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IntroductionIn pediatric tonsillectomy management, the consistent tracking of surgical outcomes and adherence to guidelines are vital. This study explores how a surgical dashboard can serve as a tool in research analysis, translating AAO‐HNSF guidelines into measurable performance improvements.MethodsUsing a prospective registry from three pediatric hospitals, a Tableau dashboard was constructed to graphically visualize key demographic and postoperative outcomes (including intensive care unit [ICU] utilization, 30‐day emergency department (ED) visits, and postoperative bleed rates) in children undergoing tonsillectomy from 2020 to 2024. From the dashboard data, a retrospective cohort study analyzing 6767 tonsillectomies was conducted from January 2, 2020, to June 20, 2023. Patients were categorized into low‐risk, OSA‐only (by ICD‐10 codes), and high‐risk groups based on comorbidities. Logistic regression identified factors influencing ED revisits and unplanned nursing calls. Three quality initiatives were assessed: preoperative school absence notes, perioperative dexamethasone recording, and post‐tonsillectomy parental education.ResultsA total of 2122 (31%) were low‐risk, 2648 (39%) were OSA‐only, and 1997 (30%) high risk. Risk factors that increased the likelihood of ED visits were high‐risk comorbidities (OR = 1.46; 95% CI = 1.24–1.74; p < 0.001) and older age (OR = 1.05; 95% CI = 1.03–1.08; p < 0.001). Risk factors that increased the likelihood of an unplanned nursing communication were high‐risk comorbidities (OR = 1.53; 95% CI = 1.34–1.75; p < 0.001), older age (OR = 1.03, 95% CI = 1.01–1.04; p = 0.001), and Medicaid insurance (OR = 1.25; 95% CI = 1.09–1.43; p = 0.002). Postoperative bleed control was generally comparable between the groups, at 2.8% (low risk), 2.7% (OSA), 3.2 (high risk) (p = 0.651).ConclusionThe dashboard aided in data collection, data visualization, and data analysis of quality improvement initiatives, effectively translating guidelines into tangible measures to enhance care.Level of evidenceNA.

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How to Use Costs in Value-Based Healthcare: Learning from Real-life Examples

van der Poort,

Kidanemariam,

Moriates

et al. 2023

J GEN INTERN MED

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Background Healthcare organizations measure costs for business operations but do not routinely incorporate costs in decision-making on the value of care. Aim Provide guidance on how to use costs in value-based healthcare (VBHC) delivery at different levels of the healthcare system. Setting and Participants Integrated practice units (IPUs) for diabetes mellitus (DM) and for acute myocardial infarction (AMI) at the Leiden University Medical Center and a collaboration of seven breast cancer IPUs of the Santeon group, all in the Netherlands. Program Description and Evaluation VBHC aims to optimize care delivery to the patient by understanding how costs relate to outcomes. At the level of shared decision-making between patient and clinician, yearly check-up consultations for DM type I were analyzed for patient-relevant costs. In benchmarking among providers, quantities of cost drivers for breast cancer care were assessed in scorecards. In continuous learning, cost-effectiveness analysis was compared with radar chart analysis to assess the value of telemonitoring in outpatient follow-up. Discussion Costs vary among providers in healthcare, but also between provider and patient. The joint analysis of outcomes and costs using appropriate methods helps identify and optimize the aspects of care that drive desired outcomes and value.

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The Rhinoplasty Health Care Monitor: Using Validated Questionnaires and a Web-Based Outcome Dashboard to Evaluate Personal Surgical Performance

Cited by 8 publications

References 17 publications

Quality improvements of healthcare trajectories by learning from aggregated patient-reported outcomes: a mixed-methods systematic literature review

Quality improvements of healthcare trajectories by learning from aggregated patient-reported outcomes: a mixed-methods systematic literature review

Implementation and impact of a surgical dashboard on pediatric tonsillectomy outcomes: A quality improvement study

How to Use Costs in Value-Based Healthcare: Learning from Real-life Examples

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