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Journal articles on the topic 'Quality measures'

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Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Dodson, Thomas B. "Quality Measures Need Measures of Quality." Journal of Oral and Maxillofacial Surgery 74, no. 6 (June 2016): 1101–2. http://dx.doi.org/10.1016/j.joms.2016.03.032.

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2

Živković, Saša A., and Pushpa Narayanaswami. "Quality measures: Do they measure up?" Muscle & Nerve 57, no. 6 (March 3, 2018): 869–71. http://dx.doi.org/10.1002/mus.26084.

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3

Lau, Brandyn D., Michael B. Streiff, Peter J. Pronovost, and Elliott R. Haut. "Venous Thromboembolism Quality Measures Fail to Accurately Measure Quality." Circulation 137, no. 12 (March 20, 2018): 1278–84. http://dx.doi.org/10.1161/circulationaha.116.026897.

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4

STAHL, DULCELINA A. "Quality Measures." Nursing Management (Springhouse) 28, no. 8 (August 1997): 20???21. http://dx.doi.org/10.1097/00006247-199708010-00004.

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5

Baernholdt, Marianne, Nancy Dunton, Ronda G. Hughes, Patricia W. Stone, and Kathleen M. White. "Quality Measures." Journal of Nursing Care Quality 33, no. 2 (2018): 149–56. http://dx.doi.org/10.1097/ncq.0000000000000292.

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6

Ward, P. "Quality measures." British Dental Journal 211, no. 8 (October 2011): 345–46. http://dx.doi.org/10.1038/sj.bdj.2011.876.

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7

Rivara, Frederick P. "Pediatric Quality Measures." JAMA Pediatrics 170, no. 4 (April 1, 2016): 380. http://dx.doi.org/10.1001/jamapediatrics.2016.0005.

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8

Kalenderian, Elsbeth, Rachel Ramoni, Heiko Spallek, Joel White, and Muhammad Walji. "Quality measures everywhere." Journal of the American Dental Association 149, no. 4 (April 2018): 322–26. http://dx.doi.org/10.1016/j.adaj.2018.01.046.

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9

Herndon, Jill Boylston, and Craig W. Amundson. "Dental quality measures." Journal of the American Dental Association 150, no. 1 (January 2019): 4. http://dx.doi.org/10.1016/j.adaj.2018.11.016.

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10

Stefanacci, Richard G., and Albert Riddle. "Delivering on quality measures: Six new CMS SNF quality measures." Geriatric Nursing 37, no. 3 (May 2016): 231–34. http://dx.doi.org/10.1016/j.gerinurse.2016.04.004.

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11

Stefanacci, Richard G., and Albert Riddle. "Delivering on quality measures: Six new CMS SNF quality measures." Geriatric Nursing 37, no. 5 (September 2016): 398–400. http://dx.doi.org/10.1016/j.gerinurse.2016.08.008.

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12

Vaníček, J. "Software quality measures validation in the Czech Republic." Agricultural Economics (Zemědělská ekonomika) 53, No. 2 (January 7, 2008): 94–100. http://dx.doi.org/10.17221/1422-agricecon.

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The paper concludes the research results performed on the Faculty of Economics and Management, Czech University of Life Sciences in Prague, concerning the utilization and validation of external and internal software quality measures (metrics). The aim of this research was the validation of measures (metrics) recommended in the ISO/IEC 9126-2 and 9126-3 technical reports, with the intention to incorporate selected measures to international standards. The research presents the serious deficiencies and users provisions concerning these measures and the necessity of a deep revision of the set of measures before the decision about incorporating these measures into the ISO/IEC 250xx standards series, developed within the SQuaRE international research project. The main part of this contribution was presented at the conference Agricultural Perspectives XV, organised by the Czech University of Life Sciences in Prague, September 20 to 21, 2006.
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13

Zivkovic, Sasha, Gregory Gruener, Michele Arnold, Carrie Winter, Teryl Nuckols, and Pushpa Narayanaswami. "Quality measures in electrodiagnosis: Carpal tunnel syndrome—An AANEM Quality Measure Set." Muscle & Nerve 61, no. 4 (February 3, 2020): 460–65. http://dx.doi.org/10.1002/mus.26810.

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14

Nachlieli, Hila, and Doron Shaked. "Measuring the Quality of Quality Measures." IEEE Transactions on Image Processing 20, no. 1 (January 2011): 76–87. http://dx.doi.org/10.1109/tip.2010.2059708.

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15

Perry, Jonathan, and David Felce. "Measure for Measure: How do Measures of Quality of Life Compare?" British Journal of Learning Disabilities 23, no. 4 (December 1995): 134–37. http://dx.doi.org/10.1111/j.1468-3156.1995.tb00182.x.

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16

Mellina-Jimenez, Florence Kristina M., Jessa Christine C. Aldepolla, Lilac Alcachopas, Lucille S. Pauliňo, Leonil G. David, and Glinda Galgo. "Psychographic Measures of Service Quality of Family-Style Restaurants." Archives of Business Research 2, no. 4 (August 30, 2014): 11–19. http://dx.doi.org/10.14738/abr.24.271.

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17

Freed, Gary L., and Kevin J. Dombkowski. "Re: Overlooked Quality Measures." Pediatrics 140, no. 2 (July 31, 2017): e20171692A. http://dx.doi.org/10.1542/peds.2017-1692a.

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18

Ferrari, Thomas E. "MEASURES OF POLLEN QUALITY." Acta Horticulturae, no. 470 (August 1998): 245–50. http://dx.doi.org/10.17660/actahortic.1998.470.34.

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19

Paterson, Charlotte. "Quality of life measures." British Journal of General Practice 60, no. 570 (January 1, 2010): 53.1–53. http://dx.doi.org/10.3399/bjgp10x482121.

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20

Hogg, Paula. "LABORATORY SERVICE QUALITY MEASURES." Proceedings of the Water Environment Federation 2000, no. 8 (January 1, 2000): 19–27. http://dx.doi.org/10.2175/193864700784546503.

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21

Benton, Regina, and Lourdes White. "Quality Measures that Matter." Issues in Informing Science and Information Technology 7 (2010): 061–72. http://dx.doi.org/10.28945/1192.

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22

Sobolewski, Eric J., Eric D. Ryan, Joseph G. Rosenberg, Michael C. Scharville, Brennan J. Thompson, and Gilbert E. King. "Measures Of Muscle Quality." Medicine & Science in Sports & Exercise 46 (May 2014): 191. http://dx.doi.org/10.1249/01.mss.0000493752.91748.4f.

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23

SCHNEIDER, MARY ELLEN. "Quality Measures: Questions Linger." Internal Medicine News 39, no. 10 (May 2006): 1–8. http://dx.doi.org/10.1016/s1097-8690(06)73485-0.

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24

Onoday, Heather. "Quality Measures in Dermatology." Journal of the Dermatology Nurses’ Association 5, no. 3 (2013): 167–69. http://dx.doi.org/10.1097/jdn.0b013e31829329d8.

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25

Poisson, Sharon N., and S. Andrew Josephson. "Quality Measures in Stroke." Neurohospitalist 1, no. 2 (March 4, 2011): 71–77. http://dx.doi.org/10.1177/1941875210392052.

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26

HILL-TOUT, JAN. "Quality of life measures." Journal of the British Institute of Mental Handicap (APEX) 17, no. 2 (August 26, 2009): 85. http://dx.doi.org/10.1111/j.1468-3156.1989.tb00526.x.

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27

ZUBER, REBECCA. "Home Health Quality Measures." Home Healthcare Nurse: The Journal for the Home Care and Hospice Professional 23, no. 7 (July 2005): 462–68. http://dx.doi.org/10.1097/00004045-200507000-00013.

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28

Lackey, Sarah, and Peggy Tesh. "Nursing quality measures (simplified)." Nursing Made Incredibly Easy! 14, no. 3 (2016): 20–24. http://dx.doi.org/10.1097/01.nme.0000482046.17326.fa.

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29

Dahlgaard, Jens, Kai Kristensen, and Gopal K. Kanji. "PROGRESSIVE MEASURES of QUALITY." Measuring Business Excellence 2, no. 1 (January 1998): 18–25. http://dx.doi.org/10.1108/eb025515.

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30

Smith, L. F. "Quality of life measures." BMJ 306, no. 6874 (February 6, 1993): 395. http://dx.doi.org/10.1136/bmj.306.6874.395-a.

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31

Cauvain, Stanley P. "Quality Measures in Baking." Cereal Foods World 58, no. 3 (May 2013): 170–71. http://dx.doi.org/10.1094/cfw-58-3-0170.

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32

Brooks, Robert. "Quality of Life Measures." Critical Care Medicine 24, no. 10 (October 1996): 1769. http://dx.doi.org/10.1097/00003246-199610000-00027.

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33

Konopad, Elsie. "Quality of Life Measures." Critical Care Medicine 24, no. 10 (October 1996): 1769. http://dx.doi.org/10.1097/00003246-199610000-00028.

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34

Albertoni, Riccardo, Monica De Martino, and Paola Podestà. "Quality measures for skos." Data Technologies and Applications 52, no. 3 (July 2, 2018): 405–23. http://dx.doi.org/10.1108/dta-05-2017-0037.

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Purpose The purpose of this paper is to focus on the quality of the connections (linkset) among thesauri published as Linked Data on the Web. It extends the cross-walking measures with two new measures able to evaluate the enrichment brought by the information reached through the linkset (lexical enrichment, browsing space enrichment). It fosters the adoption of cross-walking linkset quality measures besides the well-known and deployed cardinality-based measures (linkset cardinality and linkset coverage). Design/methodology/approach The paper applies the linkset measures to the Linked Thesaurus fRamework for Environment (LusTRE). LusTRE is selected as testbed as it is encoded using a Simple Knowledge Organisation System (SKOS) published as Linked Data, and it explicitly exploits the cross-walking measures on its validated linksets. Findings The application on LusTRE offers an insight of the complementarities among the considered linkset measures. In particular, it shows that the cross-walking measures deepen the cardinality-based measures analysing quality facets that were not previously considered. The actual value of LusTRE’s linksets regarding the improvement of multilingualism and concept spaces is assessed. Research limitations/implications The paper considers skos:exactMatch linksets, which belong to a rather specific but a quite common kind of linkset. The cross-walking measures explicitly assume correctness and completeness of linksets. Third party approaches and tools can help to meet the above assumptions. Originality/value This paper fulfils an identified need to study the quality of linksets. Several approaches formalise and evaluate Linked Data quality focusing on data set quality but disregarding the other essential component: the connection among data.
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35

Brandt, Dennis L. "Quality measures in design." ACM SIGSOFT Software Engineering Notes 15, no. 1 (January 1990): 68–72. http://dx.doi.org/10.1145/382294.383048.

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36

Sherman, Paul S. "Simple quality assurance measures." Evaluation and Program Planning 10, no. 3 (January 1987): 227–29. http://dx.doi.org/10.1016/0149-7189(87)90033-4.

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37

Johnstone, Jennie, and Lionel Mandell. "Guidelines and Quality Measures." Infectious Disease Clinics of North America 27, no. 1 (March 2013): 71–86. http://dx.doi.org/10.1016/j.idc.2012.11.001.

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38

Wilson, Lionel L. "Quality measures up: The epidemiology of quality." Medical Journal of Australia 164, no. 12 (June 1996): 749. http://dx.doi.org/10.5694/j.1326-5377.1996.tb122281.x.

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39

Ketwaroo, Gyanprakash A., and Mandeep S. Sawhney. "Quality measures and quality improvements in colonoscopy." Current Opinion in Gastroenterology 31, no. 1 (January 2015): 56–61. http://dx.doi.org/10.1097/mog.0000000000000140.

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40

Hess, Cathy Thomas. "Quality Measures and Physician Quality Reporting System." Advances in Skin & Wound Care 27, no. 6 (June 2014): 288. http://dx.doi.org/10.1097/01.asw.0000450103.82496.d0.

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41

Lane, Whitney, Christel Rushing, Daniel Nussbaum, Dan G. Blazer, and Rachel Adams Greenup. "The quality of breast cancer quality measures." Journal of Clinical Oncology 36, no. 30_suppl (October 20, 2018): 108. http://dx.doi.org/10.1200/jco.2018.36.30_suppl.108.

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108 Background: To assess quality in breast cancer care, standardized metrics are needed. Many accepted breast performance metrics are based on evidence-based practice; however, most fail to reflect patient choice in treatment decisions. Given the focus on patient-centered breast care, we sought to determine how compliance with established quality metrics correlates with receipt of breast cancer care impacted by patient preference. Methods: American College of Surgeons (ACS) National Cancer Data Base facilities were designated compliant or non-compliant based on Commission of Cancer (CoC) breast metrics MASTRT, BCSRT and HT*, which all improve survival. Compliant facilities met the expected performance rate (EPR) for all three metrics, while non-compliant facilities failed to meet the EPR for any. Rates of breast conserving surgery (BCS) for early stage cancer, immediate breast reconstruction (IBR), and contralateral prophylactic mastectomy (CPM) are proposed metrics that are impacted by patient preference. For these, quality is defined as high rates of BCS, high rates of IBR, and low rates of CPM. Multivariable logistic regression models were used to estimate the association between facility level rates on these measures and the probability of treatment at a CoC compliant facility. Results: 729 facilities were included in the analysis. Based on the CoC measures, 79 (10.8%) were considered compliant and 650 (89.2%) non-compliant. Rates of BCS and IBR did not differ between compliant and non-compliant facilities; however, women treated at compliant facilities were more likely to undergo CPM (26.3% vs 21.4%; p = 0.02). In a multivariate model treatment at compliant facilities was associated with higher rates of BCS, IBR, and CPM; however, the predictive value of these metrics was minimal (Estimated OR range: 1.01-1.03). Conclusions: Rates of preference driven therapies do not differentiate CoC compliant and non-compliant hospitals. The quality of a hospital’s breast care is likely poorly measured by metrics that are influenced by, but cannot account for patient values. *MASTRT (RT≤1yr of diagnosis in women with ≥4 +lymph nodes); BCSRT (RT ≤1yr of diagnosis for women ≤70 receiving BCS); HT (hormone therapy recommended ≤1yr of diagnosis for HR-positive breast cancer)
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42

Polívka, M., and D. Martinčík. "Measures ensuring the food quality on retail markets: experimental perspective." Agricultural Economics (Zemědělská ekonomika) 60, No. 8 (August 18, 2014): 343–52. http://dx.doi.org/10.17221/179/2013-agricecon.

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Due to the ongoing problems with the quality of foods in European markets, the public authorities try to take some measures, which would reduce the amount of substandard food products offered to consumers in retailing. Three such measures – the higher frequency of quality checks conducted by public authorities, the imposition of some import barriers on the foodstuffs from countries known for their frequent breaches of quality standards in the food industry and the establishment of an information platform serving for the public pillorying of poor quality food – are studied in this paper. The experimental policy analysis was used as the research method. The results obtained show that only the higher frequency of quality checks can improve the situation of consumers. This measure is also effective in punishing the dishonest retailers, while not harming the honest ones.  
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43

Ross, S., E. Wall, B. Schierman, J. M. Bailey, E. Cheng, C. Flippen, S. Petersen, A. Sanders, D. Seidenwurm, and M. C. Victorio. "Quality improvement in neurology: Primary headache quality measures." Neurology 84, no. 2 (January 12, 2015): 200–203. http://dx.doi.org/10.1212/wnl.0000000000001134.

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44

Odenheimer, Germaine, Soo Borson, Amy E. Sanders, Rebecca J. Swain-Eng, Helen H. Kyomen, Samantha Tierney, Laura Gitlin, et al. "Quality Improvement in Neurology: Dementia Management Quality Measures." Journal of the American Geriatrics Society 62, no. 3 (January 7, 2014): 558–61. http://dx.doi.org/10.1111/jgs.12630.

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45

Jacobs, C. G. "Challenges to the quality of data-quality measures." Food Chemistry 113, no. 3 (April 2009): 754–58. http://dx.doi.org/10.1016/j.foodchem.2008.04.013.

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46

Odenheimer, G., S. Borson, A. E. Sanders, R. J. Swain-Eng, H. H. Kyomen, S. Tierney, L. N. Gitlin, et al. "Quality improvement in neurology: Dementia management quality measures." Neurology 81, no. 17 (September 25, 2013): 1545–49. http://dx.doi.org/10.1212/wnl.0b013e3182a956bf.

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47

Hasnaim-Wynia, Romana. "Assessing Quality of Care: Process Measures vs Outcomes Measures." JAMA: The Journal of the American Medical Association 276, no. 19 (November 20, 1996): 1551. http://dx.doi.org/10.1001/jama.1996.03540190023016.

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48

Wynia, M. "Assessing quality of care: process measures vs outcomes measures." JAMA: The Journal of the American Medical Association 276, no. 19 (November 20, 1996): 1551–52. http://dx.doi.org/10.1001/jama.276.19.1551.

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49

Weed, Richard M. "Development of Composite Quality Measures." Transportation Research Record: Journal of the Transportation Research Board 1712, no. 1 (January 2000): 103–8. http://dx.doi.org/10.3141/1712-13.

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Statistical construction specifications based on multiple quality characteristics frequently use pay equations that include a separate term for each of the quality characteristics so that the resultant pay adjustment is a function of the combined effect of all quality measures. An alternate method that can be used to accomplish the same purpose is to base the pay equation on a single quality measure that is a composite of the individual quality measures. The latter approach, because it keys the various decision-making steps to a single performance indicator, simplifies the procedure and offers several practical advantages. It is believed that this approach makes significant strides toward the ultimate goal of developing quality assurance procedures that are at the same time technically sound, fair and effective, and easy to understand and apply. Examples of a two-variable case for hot-mix asphalt pavement and a general three-variable case are presented.
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50

Aultman-Hall, Lisa, Eric Jackson, Charles E. Dougan, and Soon-Nam Choi. "Models Relating Pavement Quality Measures." Transportation Research Record: Journal of the Transportation Research Board 1869, no. 1 (January 2004): 119–25. http://dx.doi.org/10.3141/1869-14.

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