Effects of routine collection of patient-reported outcomes on patient health outcomes in oncology settings: A systematic review

Li, Danyu; Huang, Qingmei; Zhang, Wen; Yuan, Changrong; Wu, Fulei

doi:10.1016/j.apjon.2023.100297

Cited by 3 publications

(4 citation statements)

References 39 publications

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“…As is shown in Figure 2, the USA (75) ranks first in the publication quantity, which is followed by China (52) and Japan (14). The top 10 prolific countries/regions in this research field are shown in Table 2.…”

Section: Distribution Of Countries/regionsmentioning

confidence: 93%

“… 13 Utilizing a big data management platform based on data mining technology to timely and accurately assess the vital signs as well as physiological functions of tumor patients, so as to formulate personalized diagnosis and treatment, consulting services, follow-up plans, or clinical care can maximize the improvement of the quality of life of end-stage patients. 14 , 15 However, as research into data mining in nursing grows, it is becoming increasingly challenging for academics to determine the most recent research hotspots as well as future trends in the area.…”

Section: Introductionmentioning

confidence: 99%

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Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Zhang,

Ge,

Xia

et al. 2024

JMDH

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Backgrounds With the advent of the big data era, hospital information systems and mobile care systems, among others, generate massive amounts of medical data. Data mining, as a powerful information processing technology, can discover non-obvious information by processing large-scale data and analyzing them in multiple dimensions. How to find the effective information hidden in the database and apply it to nursing clinical practice has received more and more attention from nursing researchers. Aim To look over the articles on data mining in nursing, compiled research status, identified hotspots, highlighted research trends, and offer recommendations for how data mining technology might be used in the nursing area going forward. Methods Data mining in nursing publications published between 2002 and 2023 were taken from the Web of Science Core Collection. CiteSpace was utilized for reviewing the number of articles, countries/regions, institutions, journals, authors, and keywords. Results According to the findings, the pace of data mining in nursing progress is not encouraging. Nursing data mining research is dominated by the United States and China. However, no consistent core group of writers or organizations has emerged in the field of nursing data mining. Studies on data mining in nursing have been increasingly gradually conducted in the 21st century, but the overall number is not large. Institution of Columbia University, journal of Cin-computers Informatics Nursing , author Diana J Wilkie, Muhammad Kamran Lodhi, Yingwei Yao are most influential in nursing data mining research. Nursing data mining researchers are currently focusing on electronic health records, text mining, machine learning, and natural language processing. Future research themes in data mining in nursing most include nursing informatics and clinical care quality enhancement. Conclusion Research data shows that data mining gives more perspectives for the growth of the nursing discipline and encourages the discipline’s development, but it also introduces a slew of new issues that need researchers to address.

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Section: Distribution Of Countries/regionsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Zhang,

Ge,

Xia

et al. 2024

JMDH

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“…ES, a measure of the strength of the association between variables, helps to determine whether statistically significant differences are clinically meaningful. For example, Li et al reviewed the potential benefits of incorporating patient-reported outcomes (PROs) into routine clinical practice for oncology patients [ 18 ]. Although they found studies with statistically significant results, the authors note that these had small to moderate ES.…”

Section: Introductionmentioning

confidence: 99%

“…Although they found studies with statistically significant results, the authors note that these had small to moderate ES. This did not allow the authors to confirm that routine incorporation of PROs into clinical practice has a definitive benefit [ 18 ]. Another example is Belcher et al, who reviewed the literature on what is known about psychological distress in adults with multiple primary cancers (MPC) [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Use of Sample Size and Effect Size Calculations in a Temporomandibular Disorders Randomised Controlled Trial—Short Narrative Review

Zieliński,

Gawda

2024

JPM

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Background/Objectives: Temporomandibular disorder (TMD) is the term used to describe a pathology (dysfunction and pain) in the masticatory muscles and temporomandibular joint (TMJ). There is an apparent upward trend in the publication of dental research and a need to continually improve the quality of research. Therefore, this study was conducted to analyse the use of sample size and effect size calculations in a TMD randomised controlled trial. Methods: The period was restricted to the full 5 years, i.e., papers published in 2019, 2020, 2021, 2022, and 2023. The filter article type—“Randomized Controlled Trial” was used. The studies were graded on a two-level scale: 0–1. In the case of 1, sample size (SS) and effect size (ES) were calculated. Results: In the entire study sample, SS was used in 58% of studies, while ES was used in 15% of studies. Conclusions: Quality should improve as research increases. One factor that influences quality is the level of statistics. SS and ES calculations provide a basis for understanding the results obtained by the authors. Access to formulas, online calculators and software facilitates these analyses. High-quality trials provide a solid foundation for medical progress, fostering the development of personalized therapies that provide more precise and effective treatment and increase patients’ chances of recovery. Improving the quality of TMD research, and medical research in general, helps to increase public confidence in medical advances and raises the standard of patient care.

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Patient-Reported Outcome Measures as an Intervention: A Comprehensive Overview of Systematic Reviews on the Effects of Feedback

Wittich,

Tsatsaronis,

Kuklinski

et al. 2024

Value in Health

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Effects of routine collection of patient-reported outcomes on patient health outcomes in oncology settings: A systematic review

Cited by 3 publications

References 39 publications

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Analysis of the Use of Sample Size and Effect Size Calculations in a Temporomandibular Disorders Randomised Controlled Trial—Short Narrative Review

Patient-Reported Outcome Measures as an Intervention: A Comprehensive Overview of Systematic Reviews on the Effects of Feedback

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