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Journal articles on the topic 'Primary measures'

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

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1

Brown, S. G. A. "Primary outcome measures." BMJ 339, aug18 1 (August 18, 2009): b3368. http://dx.doi.org/10.1136/bmj.b3368.

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2

Zyzanski, S. J. "Psychological Measures in Primary Care." Archives of Family Medicine 8, no. 5 (September 1, 1999): 375–76. http://dx.doi.org/10.1001/archfami.8.5.375.

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3

Sedgwick, P. "Primary and secondary outcome measures." BMJ 340, apr14 1 (April 14, 2010): c1938. http://dx.doi.org/10.1136/bmj.c1938.

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4

Yevgeny Pudovkin. "PRIMARY MEASURES AGAINST SECONDARY SANCTIONS." Current Digest of the Russian Press, The 72, no. 048-049 (December 6, 2020): 18. http://dx.doi.org/10.21557/dsp.64370895.

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5

Trott, A. "Primary dental care: Simple haemostatic measures." British Dental Journal 217, no. 10 (November 2014): 551. http://dx.doi.org/10.1038/sj.bdj.2014.1014.

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6

Seror, Raphaèle, and Simon Bowman. "Outcome Measures in Primary Sjögren’s Syndrome." Arthritis Care & Research 72, S10 (October 2020): 134–49. http://dx.doi.org/10.1002/acr.24331.

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7

Suppiah, Ravi. "Outcome measures in primary systemic vasculitis." Indian Journal of Rheumatology 8 (December 2013): S61—S67. http://dx.doi.org/10.1016/j.injr.2013.11.006.

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8

Seror, Raphaèle, Hendrika Bootsma, Simon J. Bowman, Thomas Dörner, Jacques-Eric Gottenberg, Xavier Mariette, Manel Ramos-Casals, et al. "Outcome measures for primary Sjögren’s syndrome." Journal of Autoimmunity 39, no. 1-2 (August 2012): 97–102. http://dx.doi.org/10.1016/j.jaut.2012.01.013.

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9

Dedkova, Elena, Aleksandr Gudkov, and Kristina Dudina. "Perspectives for non-primary export development in Russia and measures of its tax incentives." Problems and Perspectives in Management 16, no. 2 (May 3, 2018): 78–89. http://dx.doi.org/10.21511/ppm.16(2).2018.08.

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Non-primary export is one of the most promising areas for the development of Russian foreign economic activity. However, the significant influence of geopolitical problems and underdeveloped internal mechanisms of statutory regulation, state support and stimulation of non-primary exports in Russia do not allow to use all available potential in this regard. As such, the problems of non-primary export development in Russia are being actualized with a view to ensuring a positive influence of this kind of foreign economic activity both on the welfare of the state as a whole and on strengthening its positions in world markets.The purpose of the article is to consider the specifics of non-primary export development in Russia and to propose measures to stimulate its growth.The object of the study is the existing system of non-primary export in Russia with its inherent features and operating principles.The research methodology is as follows: scientific search, generalization, systematization, analysis, graphical construction, modeling, formalization, and forecasting.The key research results consist in the systematization of information on Russia’s promising non-primary export industries, the study of the current system of state support for export, the identification of problematic aspects and the search for solutions, and the development and justification of mechanisms for tax incentives for non-primary export, including due to the proposed division of enterprises into target groups depending on the volume of income from their foreign economic activities.The practical value of the results obtained is that they can be used at the macro level by introducing amendments to the regulatory and legislative acts of the Russian Federation on export regulation in accordance with the results of the grant of the President of the Russian Federation for stimulating and supporting non-primary export.
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10

Sansone, R. A. "Use of Psychological Measures in Primary Care." Archives of Family Medicine 7, no. 4 (July 1, 1998): 367–69. http://dx.doi.org/10.1001/archfami.7.4.367.

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11

Otani, Koichiro, Richard S. Kurz, and Lisa E. Harris. "Managing Primary Care Using Patient Satisfaction Measures." Journal of Healthcare Management 50, no. 5 (September 2005): 311–24. http://dx.doi.org/10.1097/00115514-200509000-00007.

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12

Montano, Vincenzo, Francesco Gruosso, Valerio Carelli, Giacomo Pietro Comi, Massimiliano Filosto, Costanza Lamperti, Tiziana Mongini, et al. "Primary mitochondrial myopathy." Neurology Genetics 6, no. 6 (October 20, 2020): e519. http://dx.doi.org/10.1212/nxg.0000000000000519.

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ObjectiveTo determine whether a set of functional tests, clinical scales, patient-reported questionnaires, and specific biomarkers can be considered reliable outcome measures in patients with primary mitochondrial myopathy (PMM), we analyzed a cohort of Italian patients.MethodsBaseline data were collected from 118 patients with PMM, followed by centers of the Italian network for mitochondrial diseases. We used the 6-Minute Walk Test (6MWT), Timed Up-and-Go Test (x3) (3TUG), Five-Times Sit-To-Stand Test (5XSST), Timed Water Swallow Test (TWST), and Test of Masticating and Swallowing Solids (TOMASS) as functional outcome measures; the Fatigue Severity Scale and West Haven-Yale Multidimensional Pain Inventory as patient-reported outcome measures; and FGF21, GDF15, lactate, and creatine kinase (CK) as biomarkers.ResultsA total of 118 PMM cases were included. Functional outcome measures (6MWT, 3TUG, 5XSST, TWST, and TOMASS) and biomarkers significantly differed from healthy reference values and controls. Moreover, functional measures correlated with patients' perceived fatigue and pain severity. Patients with either mitochondrial or nuclear DNA point mutations performed worse in functional measures than patients harboring single deletion, even if the latter had an earlier age at onset but similar disease duration. Both the biomarkers FGF21 and GDF15 were significantly higher in the patients compared with a matched control population; however, there was no relation with severity of disease.ConclusionsWe characterized a large cohort of PMM by evaluating baseline mitochondrial biomarkers and functional scales that represent potential outcome measures to monitor the efficacy of treatment in clinical trials; these outcome measures will be further reinvestigated longitudinally to define the natural history of PMM.
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13

Menon, Kusum, James Dayre McNally, Jerry J. Zimmerman, Michael S. D. Agus, Katie O’Hearn, R. Scott Watson, Hector R. Wong, Mark Duffett, David Wypij, and Karen Choong. "Primary Outcome Measures in Pediatric Septic Shock Trials." Pediatric Critical Care Medicine 18, no. 3 (March 2017): e146-e154. http://dx.doi.org/10.1097/pcc.0000000000001078.

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14

Ravindran, A. V., R. J. Bialik, and Y. D. Lapierre. "BIOCHEMICAL MEASURES IN PRIMARY EARLY ONSET DYSTHYMIC DISORDER." Clinical Neuropharmacology 15 (1992): 294B. http://dx.doi.org/10.1097/00002826-199202001-00568.

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15

Giry, M., C. Pulcini, C. Rabaud, J. M. Boivin, V. Mauffrey, and J. Birgé. "Acceptability of antibiotic stewardship measures in primary care." Médecine et Maladies Infectieuses 46, no. 6 (September 2016): 276–84. http://dx.doi.org/10.1016/j.medmal.2016.02.001.

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16

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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17

Cukras, Catherine A. "Anatomic measures as primary outcomes in clinical trials." Journal of Vision 19, no. 8 (July 2, 2019): 21. http://dx.doi.org/10.1167/19.8.21.

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18

Smith, William G., and Don Buesching. "Measures of primary medical care and patient characteristics." Journal of Ambulatory Care Management 9, no. 1 (February 1986): 49–57. http://dx.doi.org/10.1097/00004479-198602000-00006.

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19

Williams, A. C., E. J. Bower, and J. T. Newton. "Research in primary dental care Part 4: Measures." British Dental Journal 196, no. 12 (June 2004): 739–46. http://dx.doi.org/10.1038/sj.bdj.4811381.

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20

Sharma, Aman. "Outcome measures in primary systemic vasculitis – Indian perspective." Indian Journal of Rheumatology 8 (December 2013): S68—S69. http://dx.doi.org/10.1016/j.injr.2013.11.005.

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21

Duffy, Joseph R., Holly Hanley, Rene Utianski, Heather Clark, Edythe Strand, Keith A. Josephs, and Jennifer L. Whitwell. "Temporal acoustic measures distinguish primary progressive apraxia of speech from primary progressive aphasia." Brain and Language 168 (May 2017): 84–94. http://dx.doi.org/10.1016/j.bandl.2017.01.012.

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22

Kaya, Bulent, and Yalim Uctum. "Primary epiploic appendagitis: two patients treated with conservative measures." Turkish Journal of Surgery 27, no. 2 (2011): 107. http://dx.doi.org/10.5097/1300-0705.ucd.558-11.01.

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23

ARMSTRONG, ELIZABETH. "Screening and Assessment Measures for the Primary Care Team." International Review of Psychiatry 10, no. 2 (January 1998): 110–13. http://dx.doi.org/10.1080/09540269874871.

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24

Irving, G., and J. Holden. "Measures of promptness of cancer diagnosis in primary care." British Journal of Cancer 108, no. 10 (May 2013): 2186. http://dx.doi.org/10.1038/bjc.2013.193.

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25

Kuskowski, Michael A., Gerald Morley, Stephen M. Malone, Maurice W. Dysken, and Amy Okaya. "Hydergine Treatment and Psychophysiological Measures in Primary Degenerative Dementia." Journal of Geriatric Psychiatry and Neurology 3, no. 1 (January 1990): 41–47. http://dx.doi.org/10.1177/089198879000300109.

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Changes in smooth pursuit eye movements and the P300 component of the auditory evoked potential were studied in patients with primary degenerative dementia during a double-blind, placebo-controlled study of ergoloid mesylates (Hydergine). After 18 weeks of treatment, P300 latency and amplitude, recorded at three scalp electrode sites, had not changed significantly. Smooth pursuit gain was elevated for the drug group under some stimulus conditions, suggesting a normalization of pursuit eye movement functioning. However, the results of several other measures of the quality of pursuit eye movements failed to corroborate this finding. ( J Geriatr Psychiatry Neurol 1990; 3:41-47).
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26

Coulter, A. "Measures of Need and Outcome for Primary Health Care." Quality and Safety in Health Care 1, no. 2 (June 1, 1992): 143. http://dx.doi.org/10.1136/qshc.1.2.143.

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27

Bowling, A. "Health Outcome Measures in Primary and Out-patient Care." Quality and Safety in Health Care 6, no. 2 (June 1, 1997): 115–16. http://dx.doi.org/10.1136/qshc.6.2.115-b.

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28

Londero, Elio. "Primary-input intensities under alternative measures of rent content." Journal of International Trade & Economic Development 10, no. 4 (January 2001): 429–50. http://dx.doi.org/10.1080/09638190110073796.

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29

Chen, A. Y., S. M. Schrager, and R. Mangione-Smith. "Quality Measures for Primary Care of Complex Pediatric Patients." PEDIATRICS 129, no. 3 (February 13, 2012): 433–45. http://dx.doi.org/10.1542/peds.2011-0026.

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30

Williams, Justin H. G., Jackie M. Casey, Lieke Braadbaart, Peter R. Culmer, and Mark Mon-Williams. "Kinematic Measures of Imitation Fidelity in Primary School Children." Journal of Cognition and Development 15, no. 2 (April 3, 2014): 345–62. http://dx.doi.org/10.1080/15248372.2013.771265.

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31

Murray, E. "Measures of Need and Outcome for Primary Health Care." Postgraduate Medical Journal 69, no. 809 (March 1, 1993): 247–48. http://dx.doi.org/10.1136/pgmj.69.809.247-a.

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32

Adeyemi, Ademola James, Jafri Mohd Rohani, Mat Rebi AbdulRani, and Udo Schumacher. "Comparing body composition measures among Malaysian primary school children." Cogent Medicine 1, no. 1 (November 19, 2014): 984385. http://dx.doi.org/10.1080/2331205x.2014.984385.

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33

Hutchison, Brian, Wissam Haj-Ali, Gail Dobell, Naira Yeritsyan, Naushaba Degani, and Sharon Gushue. "Prioritizing and Implementing Primary Care Performance Measures for Ontario." Healthcare Policy | Politiques de Santé 16, no. 1 (August 20, 2020): 43–57. http://dx.doi.org/10.12927/hcpol.2020.26291.

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34

Byrne, Frank D. "PRACTITIONER APPLICATION: Managing Primary Care Using Patient Satisfaction Measures." Journal of Healthcare Management 50, no. 5 (September 2005): 324–25. http://dx.doi.org/10.1097/00115514-200509000-00008.

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35

Powell, M. "Measures of Need and Outcome for Primary Health Care." Journal of Epidemiology & Community Health 46, no. 5 (October 1, 1992): 547–48. http://dx.doi.org/10.1136/jech.46.5.547-b.

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36

Panagiotopoulou, Georgia, Kosmas Christoulas, Anthoula Papanckolaou, and Konstantinos Mandroukas. "Classroom furniture dimensions and anthropometric measures in primary school." Applied Ergonomics 35, no. 2 (March 2004): 121–28. http://dx.doi.org/10.1016/j.apergo.2003.11.002.

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37

Seror, Raphaèle, Elke Theander, Hendrika Bootsma, Simon J. Bowman, Athanasios Tzioufas, Jacques-Eric Gottenberg, Manel Ramos-Casals, et al. "Outcome measures for primary Sjögren's syndrome: A comprehensive review." Journal of Autoimmunity 51 (June 2014): 51–56. http://dx.doi.org/10.1016/j.jaut.2013.12.010.

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38

Yu, Hao, Ateev Mehrotra, and John Adams. "Reliability of utilization measures for primary care physician profiling." Healthcare 1, no. 1-2 (June 2013): 22–29. http://dx.doi.org/10.1016/j.hjdsi.2013.04.002.

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39

Nazareth, Irwin. "Measures of need and outcome for primary health care." Journal of Psychosomatic Research 36, no. 8 (December 1992): 798. http://dx.doi.org/10.1016/0022-3999(92)90140-w.

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40

Barkin, Solomon. "Productivity Measures in Collective Bargaining." Relations industrielles 36, no. 2 (April 12, 2005): 361–70. http://dx.doi.org/10.7202/029155ar.

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41

Khalil, Jawad, Roohul Muqim, Mohammad Rafique, and Mansoor Khan. "Laparoscopic versus open appendectomy: A comparison of primary outcome measures." Saudi Journal of Gastroenterology 17, no. 4 (2011): 236. http://dx.doi.org/10.4103/1319-3767.82574.

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42

Siskou, Olga, Helen Stokou, Mamas Theodorou, Daphne Kaitelidou, Peter Galanis, Konstantinos Tsavalias, Olympia Konstantakopoulou, Georgios Charalambous, and Lycourgos L. Liaropoulos. "Evaluating Cost Sharing Measures in Public Primary Units in Greece." International Journal of Reliable and Quality E-Healthcare 4, no. 4 (October 2015): 52–62. http://dx.doi.org/10.4018/ijrqeh.2015100103.

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The mission of this paper is to investigate the economic viability and the workload imposed on nurses of the introduction of a cost sharing mechanism (€5/visit) in public primary health care units. The Ministry of Health provided administrative data for 2011 and 2012. Results highlighted the economic viability of the introduction of a cost sharing mechanism in Outpatient Departments of NHS Hospitals, as an annual economic benefit of €11.5 mil was reported. On the other hand, an annual deficit of €1.4 mil was estimated for Health Centers. Moreover, in the majority of Health Centers, nurses were put under altering employment in order to collect the fees. In times of economic recession, such as currently the case in Greece, negative consequences of cost sharing mechanisms may outweigh the positive ones. The decision on whether or not to introduce cost sharing arrangements is largely a political one and many factors (e.g. accessibility, equity, clinical outcomes) have to be taken into account, apart from economic results.
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43

Engelien, A., M. Schultz, B. Ross, and C. Pantev. "Integrating functional MEG measures for primary and secondary auditory cortices." NeuroImage 11, no. 5 (May 2000): S808. http://dx.doi.org/10.1016/s1053-8119(00)91737-3.

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44

Brohl, Andrew S., Joo Y. Song, Ron Lieberman, and Barry Gause. "Synchronous Indolent Primary Gastrointestinal Lymphomas Managed Successfully With Conservative Measures." American Journal of Therapeutics 20, no. 5 (2013): 549–53. http://dx.doi.org/10.1097/mjt.0b013e3182246a6a.

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45

Kwong, Esther, Jenny Neuburger, Steffen Erhard Petersen, and Nick Black. "Using patient-reported outcome measures for primary percutaneous coronary intervention." Open Heart 6, no. 1 (February 2019): e000920. http://dx.doi.org/10.1136/openhrt-2018-000920.

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IntroductionRoutine measurement of the outcome of myocardial infarction is usually limited to immediate morbidity and mortality. Our aim was to determine the response to patient-reported outcome measures (PROMs) 3 months later, identify response bias and explore the feasibility of comparing outcome with their recalled view of their prior health state.MethodsPatients admitted with ST-segment-elevation myocardial infarction (STEMI) to five percutaneous coronary intervention centres were invited to complete a retrospective questionnaire containing the EQ-5D-3L and short form Seattle Angina Questionnaire (SAQ-7). Response rate for a 3-month mailed follow-up questionnaire and potential response biases were assessed. Patients’ outcomes were compared with their baseline using χ2 and paired t-test to assess for differences.ResultsOf 392 patients contacted, 260 (66.3%) responded. Responders were more likely to be older, female, more affluent and have a higher EQ-5D at baseline. Three months after surgery, patients’ SAQ-7 and angina symptom subscale returned to their baseline score. The physical limitation subscale score was worse than at baseline (79.9 vs 73.2, p=0.002), whereas the quality-of-life subscale was better (66.6 vs 73.9; p<0.001). The EQ-5D-3L index score was similar at 3 months to baseline (0.82 vs 0.79). Evidence of bias arising from responders being in better general health at baseline needs further investigation and, if confirmed, needs to be taken into account in interpreting PROMs data.ConclusionIt is feasible to use PROMs routinely to assess the impact of emergency admissions of patients with STEMI. A larger demonstration project with more sites is needed to confirm these findings.
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46

Nataupsky, Mark, and Terence S. Abbott. "Comparison of Workload Measures on Computer—Generated Primary Flight Displays." Proceedings of the Human Factors Society Annual Meeting 31, no. 5 (September 1987): 548–52. http://dx.doi.org/10.1177/154193128703100515.

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Four Air Force pilots were used as subjects to assess a battery of subjective and physiological workload measures in a flight simulation environment in which two computer-generated primary flight display configurations were evaluated. A high- and low-workload task was created by manipulating flight path complexity. Both SWAT and the NASA-TLX were shown to be effective in differentiating the high and low workload path conditions. Physiological measures were inconclusive. A battery of workload measures continues to be necessary for an understanding of the data. Based on workload, opinion, and performance data, it is fruitful to pursue research with a primary flight display and a horizontal situation display integrated into a single display.
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47

Cummings, Jeffrey L., Rema Raman, Karin Ernstrom, David Salmon, and Steven H. Ferris. "ADCS Prevention Instrument Project: Behavioral Measures in Primary Prevention Trials." Alzheimer Disease & Associated Disorders 20, Supplement 3 (October 2006): S147—S151. http://dx.doi.org/10.1097/01.wad.0000213872.17429.0f.

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48

Casswell, Sally. "DRINK-DRIVING: THE ROLE OF STRUCTURAL MEASURES IN PRIMARY PREVENTION." Community Health Studies 10, no. 3 (February 12, 2010): 317–22. http://dx.doi.org/10.1111/j.1753-6405.1986.tb00114.x.

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49

Swartz, Susan, Timothy Cowan, Judy DePue, and Michael Goldstein. "Academic profiling of tobacco-related performance measures in primary care." Nicotine & Tobacco Research 4, no. 1 (February 10, 2002): 38–44. http://dx.doi.org/10.1080/14622200210128018.

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50

Caruso, Anthony J., Barbara C. Sonies, Jane C. Atkinson, and Philip C. Fox. "Objective measures of swallowing in patients with primary Sjogren's syndrome." Dysphagia 4, no. 2 (June 1989): 101–5. http://dx.doi.org/10.1007/bf02407153.

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