These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
171 related articles for article (PubMed ID: 25339248)
1. The influence of health care professional characteristics on pain management decisions. Bartley EJ; Boissoneault J; Vargovich AM; Wandner LD; Hirsh AT; Lok BC; Heft MW; Robinson ME Pain Med; 2015 Jan; 16(1):99-111. PubMed ID: 25339248 [TBL] [Abstract][Full Text] [Related]
2. Assessment of the Influence of Demographic and Professional Characteristics on Health Care Providers' Pain Management Decisions Using Virtual Humans. Boissoneault J; Mundt JM; Bartley EJ; Wandner LD; Hirsh AT; Robinson ME J Dent Educ; 2016 May; 80(5):578-87. PubMed ID: 27139209 [TBL] [Abstract][Full Text] [Related]
3. The impact of patients' gender, race, and age on health care professionals' pain management decisions: an online survey using virtual human technology. Wandner LD; Heft MW; Lok BC; Hirsh AT; George SZ; Horgas AL; Atchison JW; Torres CA; Robinson ME Int J Nurs Stud; 2014 May; 51(5):726-33. PubMed ID: 24128374 [TBL] [Abstract][Full Text] [Related]
4. The interaction of patient race, provider bias, and clinical ambiguity on pain management decisions. Hirsh AT; Hollingshead NA; Ashburn-Nardo L; Kroenke K J Pain; 2015 Jun; 16(6):558-68. PubMed ID: 25828370 [TBL] [Abstract][Full Text] [Related]
5. Using virtual human technology to capture dentists' decision policies about pain. Wandner LD; Hirsh AT; Torres CA; Lok BC; Scipio CD; Heft MW; Robinson ME J Dent Res; 2013 Apr; 92(4):301-5. PubMed ID: 23446916 [TBL] [Abstract][Full Text] [Related]
6. Assessment and Treatment Recommendations for Pediatric Pain: The Influence of Patient Race, Patient Gender, and Provider Pain-Related Attitudes. Miller MM; Williams AE; Zapolski TCB; Rand KL; Hirsh AT J Pain; 2020; 21(1-2):225-237. PubMed ID: 31362065 [TBL] [Abstract][Full Text] [Related]
7. Evaluation of nurses' self-insight into their pain assessment and treatment decisions. Hirsh AT; Jensen MP; Robinson ME J Pain; 2010 May; 11(5):454-61. PubMed ID: 20015702 [TBL] [Abstract][Full Text] [Related]
8. Impact of race and sex on pain management by medical trainees: a mixed methods pilot study of decision making and awareness of influence. Hollingshead NA; Matthias MS; Bair MJ; Hirsh AT Pain Med; 2015 Feb; 16(2):280-90. PubMed ID: 25039974 [TBL] [Abstract][Full Text] [Related]
9. The influence of patient sex, provider sex, and sexist attitudes on pain treatment decisions. Hirsh AT; Hollingshead NA; Matthias MS; Bair MJ; Kroenke K J Pain; 2014 May; 15(5):551-9. PubMed ID: 24576430 [TBL] [Abstract][Full Text] [Related]
10. Pain assessment and treatment disparities: a virtual human technology investigation. Hirsh AT; George SZ; Robinson ME Pain; 2009 May; 143(1-2):106-13. PubMed ID: 19269742 [TBL] [Abstract][Full Text] [Related]
11. Using virtual human technology to provide immediate feedback about participants' use of demographic cues and knowledge of their cue use. Wandner LD; Letzen JE; Torres CA; Lok B; Robinson ME J Pain; 2014 Nov; 15(11):1141-1147. PubMed ID: 25124965 [TBL] [Abstract][Full Text] [Related]
12. Patient demographic characteristics and facial expressions influence nurses' assessment of mood in the context of pain: a virtual human and lens model investigation. Hirsh AT; Callander SB; Robinson ME Int J Nurs Stud; 2011 Nov; 48(11):1330-8. PubMed ID: 21596378 [TBL] [Abstract][Full Text] [Related]
13. Investigating patient characteristics on pain assessment using virtual human technology. Stutts LA; Hirsh AT; George SZ; Robinson ME Eur J Pain; 2010 Nov; 14(10):1040-5. PubMed ID: 20435492 [TBL] [Abstract][Full Text] [Related]
14. The Unique and Interactive Effects of Patient Race, Patient Socioeconomic Status, and Provider Attitudes on Chronic Pain Care Decisions. Anastas TM; Miller MM; Hollingshead NA; Stewart JC; Rand KL; Hirsh AT Ann Behav Med; 2020 Oct; 54(10):771-782. PubMed ID: 32227158 [TBL] [Abstract][Full Text] [Related]
15. Examining influential factors in providers' chronic pain treatment decisions: a comparison of physicians and medical students. Hollingshead NA; Meints S; Middleton SK; Free CA; Hirsh AT BMC Med Educ; 2015 Oct; 15():164. PubMed ID: 26427937 [TBL] [Abstract][Full Text] [Related]
16. A randomized controlled trial testing a virtual perspective-taking intervention to reduce race and socioeconomic status disparities in pain care. Hirsh AT; Miller MM; Hollingshead NA; Anastas T; Carnell ST; Lok BC; Chu C; Zhang Y; Robinson ME; Kroenke K; Ashburn-Nardo L Pain; 2019 Oct; 160(10):2229-2240. PubMed ID: 31568099 [TBL] [Abstract][Full Text] [Related]
17. Pain assessment and treatment decisions for virtual human patients. Wandner LD; George SZ; Lok BC; Torres CA; Chuah JH; Robinson ME Cyberpsychol Behav Soc Netw; 2013 Dec; 16(12):904-9. PubMed ID: 23971429 [TBL] [Abstract][Full Text] [Related]
18. Patient demographics and clinical characteristics influence opioid and nonopioid pain management prescriptions of primary care NPs, PAs, and physicians. Nikpour J; Broome M; Silva S; Allen KD J Am Assoc Nurse Pract; 2022 Jul; 34(7):883-890. PubMed ID: 35544348 [TBL] [Abstract][Full Text] [Related]
19. Effect of a perspective-taking intervention on the consideration of pain assessment and treatment decisions. Wandner LD; Torres CA; Bartley EJ; George SZ; Robinson ME J Pain Res; 2015; 8():809-18. PubMed ID: 26635483 [TBL] [Abstract][Full Text] [Related]
20. The influence of sex, race, and age on pain assessment and treatment decisions using virtual human technology: a cross-national comparison. Torres CA; Bartley EJ; Wandner LD; Alqudah AF; Hirsh AT; Robinson ME J Pain Res; 2013; 6():577-88. PubMed ID: 23901291 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]