Log in

Relevant bibliographies by topics / Interaction patient / Journal articles

To see the other types of publications on this topic, follow the link: Interaction patient.

Journal articles on the topic 'Interaction patient'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Interaction patient.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Peck, B. Mitchell. "Age-Related Differences in Doctor-Patient Interaction and Patient Satisfaction." Current Gerontology and Geriatrics Research 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/137492.

Full text

Abstract:

Background. Relatively little is known about patient characteristics associated with doctor-patient interaction style and satisfaction with the medical visit.Objective. The primary study objectives are to assess: whether doctors interact in a more or less patient-centered style with elderly patients and whether patient age moderates the relationship between interaction style and satisfaction, that is, whether elderly patients are more or less satisfied with patient-centered medical encounters.Methods. We collected pre- and post-visit questionnaire data from 177 patients at a large family medicine clinic. We audiotaped the encounters between doctors and patients. Patient-centered interaction style was measured from coding from the audiotapes of the doctor-patient interactions. Patient satisfaction was measured using the Patient Satisfaction Questionnaire.Results. We found physicians were more likely to have patient-centered encounters with patients over age 65. We also found patient age moderated the association between interaction style and patient satisfaction: older patients were more satisfied with patient-centered encounters.Conclusion. Patient age is associated with style of interaction, which is, in turn, associated with patient satisfaction. Understanding the factors and processes by which doctors and patients interact has the potential to improve many facets of health care delivery.

APA, Harvard, Vancouver, ISO, and other styles

2

Bridges, Jackie, Peter Griffiths, Emily Oliver, and Ruth M. Pickering. "Hospital nurse staffing and staff–patient interactions: an observational study." BMJ Quality & Safety 28, no. 9 (March 27, 2019): 706–13. http://dx.doi.org/10.1136/bmjqs-2018-008948.

Full text

Abstract:

BackgroundExisting evidence indicates that reducing nurse staffing and/or skill mix adversely affects care quality. Nursing shortages may lead managers to dilute nursing team skill mix, substituting assistant personnel for registered nurses (RNs). However, no previous studies have described the relationship between nurse staffing and staff–patient interactions.SettingSix wards at two English National Health Service hospitals.MethodsWe observed 238 hours of care (n=270 patients). Staff–patient interactions were rated using the Quality of Interactions Schedule. RN, healthcare assistant (HCA) and patient numbers were used to calculate patient-to-staff ratios. Multilevel regression models explored the association between staffing levels, skill mix and the chance of an interaction being rated as ‘negative’ quality, rate at which patients experienced interactions and total amount of time patients spent interacting with staff per observed hour.Results10% of the 3076 observed interactions were rated as negative. The odds of a negative interaction increased significantly as the number of patients per RN increased (p=0.035, OR of 2.82 for ≥8 patients/RN compared with >6 to <8 patients/RN). A similar pattern was observed for HCA staffing but the relationship was not significant (p=0.056). When RN staffing was low, the odds of a negative interaction increased with higher HCA staffing. Rate of interactions per patient hour, but not total amount of interaction time, was related to RN and HCA staffing levels.ConclusionLow RN staffing levels are associated with changes in quality and quantity of staff–patient interactions. When RN staffing is low, increases in assistant staff levels are not associated with improved quality of staff–patient interactions. Beneficial effects from adding assistant staff are likely to be dependent on having sufficient RNs to supervise, limiting the scope for substitution.

APA, Harvard, Vancouver, ISO, and other styles

3

Pierson, D. J. "Patient-Ventilator Interaction." Respiratory Care 56, no. 2 (February 1, 2011): 214–28. http://dx.doi.org/10.4187/respcare.01115.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Epstein, S. K., and R. L. Chatburn. "Patient-Ventilator Interaction." Respiratory Care 56, no. 1 (January 1, 2011): 13–14. http://dx.doi.org/10.4187/respcare.01150.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

GEORGOPOULOS, D. "Patient–Ventilator Interaction." Respiratory Care Clinics of North America 11, no. 2 (June 2005): xv—xvi. http://dx.doi.org/10.1016/j.rcc.2005.02.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

BRANSON, R., and N. MACINTYRE. "Patient–Ventilator Interaction." Respiratory Care Clinics of North America 11, no. 2 (June 2005): xiii—xiv. http://dx.doi.org/10.1016/j.rcc.2005.02.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Currie, Gayle, Cynthia Graul, and Kelly Johnson. "Nurse-Patient Interaction." Image: the Journal of Nursing Scholarship 26, no. 4 (December 1994): 259. http://dx.doi.org/10.1111/j.1547-5069.1994.tb00330.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

TOBIN, MARTIN J, AMAL JUBRAN, and FRANCO LAGHI. "Patient–Ventilator Interaction." American Journal of Respiratory and Critical Care Medicine 163, no. 5 (April 2001): 1059–63. http://dx.doi.org/10.1164/ajrccm.163.5.2005125.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Liles, Clive R. "Patient Practitioner Interaction." Physiotherapy 86, no. 6 (June 2000): 326. http://dx.doi.org/10.1016/s0031-9406(05)61009-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Haugan, Gørill, Unni Karin Moksnes, and Geir Arild Espnes. "Nurse–Patient Interaction." Journal of Holistic Nursing 31, no. 3 (June 19, 2013): 152–63. http://dx.doi.org/10.1177/0898010113491460.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Choudhuri, Gourdas. "Patient physician interaction." Hepatitis B Annual 7, no. 1 (2010): 86. http://dx.doi.org/10.4103/0972-9747.162158.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Kondili, E., G. Prinianakis, and D. Georgopoulos. "Patient–ventilator interaction." British Journal of Anaesthesia 91, no. 1 (July 2003): 106–19. http://dx.doi.org/10.1093/bja/aeg129.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Album, Dag. "Patients' Knowledge and Patients' Work. Patient-Patient Interaction in General Hospitals." Acta Sociologica 32, no. 3 (July 1989): 295–306. http://dx.doi.org/10.1177/000169938903200308.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Birkelund, Regner, and Lene Søndergaard Larsen. "Patient-patient interaction - caring and sharing." Scandinavian Journal of Caring Sciences 27, no. 3 (September 4, 2012): 608–15. http://dx.doi.org/10.1111/j.1471-6712.2012.01072.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Sharma, M. "Conservative Therapy through Adequate Doctor Patient Interaction Improves outcomes in Patients Suffering from Mild and Moderate Knee Osteoarthritis." International Journal of Healthcare Education & Medical Informatics 04, no. 04 (February 16, 2018): 1–2. http://dx.doi.org/10.24321/2455.9199.201712.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Adelman, Ronald D., Michele G. Greene, and Rita Charont. "Issues in Physician—Elderly Patient Interaction." Ageing and Society 11, no. 2 (June 1991): 127–48. http://dx.doi.org/10.1017/s0144686x00003974.

Full text

Abstract:

The basis of an effective and satisfactory physician–patient relationship is found in the communication which occurs between these two individuals. By studying the interaction, we can learn much about the identities of the physician and patient, and how they view each other and the world. The interactional dynamics between physician and patient are unique. For example, even in initial medical encounters which involve the meeting of two strangers, patients and physicians deal with concerns as diverse as life and death as well as other intimate or personal issues. Researchers of physician–patient interaction seek to discover how communication evolves and how that communication reveals the multiple levels of meaning in the medical encounter.

APA, Harvard, Vancouver, ISO, and other styles

17

Holyoake, Dean. "Observing nurse-patient interaction." Nursing Standard 12, no. 29 (April 8, 1998): 35–38. http://dx.doi.org/10.7748/ns1998.04.12.29.35.c2503.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Freimuth, Vicki S., Elaine M. Litton, Pamela A. Rowland‐Morin, Ian MacPhail, Scott Conard, Barbara Ogur, Roberta Ann Smith, et al. "Reviews: Provider‐patient interaction." Journal of Applied Communication Research 13, no. 2 (September 1985): 131–49. http://dx.doi.org/10.1080/00909888509388429.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Sweeney, Joey. "Step into patient interaction." Pharmacy Today 24, no. 4 (April 2018): 1. http://dx.doi.org/10.1016/j.ptdy.2018.03.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Arber, Anne. "Patient and Provider Interaction." Sociology of Health & Illness 34, no. 1 (January 2012): 158–59. http://dx.doi.org/10.1111/j.1467-9566.2011.01450.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Kirby, Robert R. "Improving ventilator-patient interaction." Critical Care Medicine 25, no. 10 (October 1997): 1630. http://dx.doi.org/10.1097/00003246-199710000-00007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

SANSON-FISHER, ROBERT W., ELIZABETH M. CAMPBELL, SELINA REDMAN, and DEBORAH J. HENNRIKUS. "Patient-Provider Interactions and Patient Outcomes." Diabetes Educator 15, no. 2 (April 1989): 134–38. http://dx.doi.org/10.1177/014572178901500209.

Full text

Abstract:

Research shows that a number of provider interactional skills are empirically related to patient adherence, making interaction skills a necessary and important part of clinical competence. These skills fall into three broad categories: techniques to elicit and modify patients' health and treatment beliefs, to aid recall of information, and to aid adherence. Specific skills in each category are discussed. Research further shows that health care providers can be taught effective communication skills, and that one of the most effective teaching techniques is audio or video feedback in which the provider's interaction with a patient is judged by tutor and peers using explicit, empirically based criteria.

APA, Harvard, Vancouver, ISO, and other styles

23

Butt, Hammad A., Ammara Khan, and Naveed Suleman. "Occurrence of possible drug related interactions in medical patients in out-patient departments of Pakistan." International Journal of Basic & Clinical Pharmacology 9, no. 10 (September 22, 2020): 1503. http://dx.doi.org/10.18203/2319-2003.ijbcp20204086.

Full text

Abstract:

Background: Data regarding occurrence of drug-drug interactions in Pakistan is rare. In the current study, we have tried to find out the clinical adversity and frequency witnessed in prescriptions of a medical outpatient department.Methods: Patient prescriptions were analyzed for potential drug-drug interactions. A sample of 364 patients, visited outpatient department who were being prescribed at least two drugs simultaneously using a drug interaction program website.Results: The 364 patients (72.8% male, mean age 57.9±15.2 years) were prescribed a median of six drugs (range 2-13) at OPD visit. Three hundred forty nine patients (95.8%) had at least one potentially interacting drug combination. 2636 potential interactions were seen in the visiting patients. Out of these 124 (4.7%) were of major severity, 1730 (65.6%) moderate and 515 (19.5%). Out of 124 patients with a potential DDI with major severity, no patient was re-hospitalized within 2 months after discharge due to a probable drug-related problem associated with the potential DDI.Conclusions: A large percentage of patients were detected having one or more potential drug-drug interactions, using drug interaction detection program. However, the percentage of patients having clinically adverse consequences due to drug-drug interactions appears to be very low.

APA, Harvard, Vancouver, ISO, and other styles

24

Babos, Mary Beth, Michelle Heinan, Linda Redmond, Fareeha Moiz, Joao Victor Souza-Peres, Valerie Samuels, Tarun Masimukku, David Hamilton, Myra Khalid, and Paul Herscu. "Herb–Drug Interactions: Worlds Intersect with the Patient at the Center." Medicines 8, no. 8 (August 5, 2021): 44. http://dx.doi.org/10.3390/medicines8080044.

Full text

Abstract:

This review examines three bodies of literature related to herb–drug interactions: case reports, clinical studies, evaluations found in six drug interaction checking resources. The aim of the study is to examine the congruity of resources and to assess the degree to which case reports signal for further study. A qualitative review of case reports seeks to determine needs and perspectives of case report authors. Methods: Systematic search of Medline identified clinical studies and case reports of interacting herb–drug combinations. Interacting herb–drug pairs were searched in six drug interaction resources. Case reports were analyzed qualitatively for completeness and to identify underlying themes. Results: Ninety-nine case-report documents detailed 107 cases. Sixty-five clinical studies evaluated 93 mechanisms of interaction relevant to herbs reported in case studies, involving 30 different herbal products; 52.7% of these investigations offered evidence supporting reported reactions. Cohen’s kappa found no agreement between any interaction checker and case report corpus. Case reports often lacked full information. Need for further information, attitudes about herbs and herb use, and strategies to reduce risk from interaction were three primary themes in the case report corpus. Conclusions: Reliable herb–drug information is needed, including open and respectful discussion with patients.

APA, Harvard, Vancouver, ISO, and other styles

25

Penner, Louis A., John F. Dovidio, Richard Gonzalez, Terrance L. Albrecht, Robert Chapman, Tanina Foster, Felicity W. K. Harper, et al. "The Effects of Oncologist Implicit Racial Bias in Racially Discordant Oncology Interactions." Journal of Clinical Oncology 34, no. 24 (August 20, 2016): 2874–80. http://dx.doi.org/10.1200/jco.2015.66.3658.

Full text

Abstract:

Purpose Health providers’ implicit racial bias negatively affects communication and patient reactions to many medical interactions. However, its effects on racially discordant oncology interactions are largely unknown. Thus, we examined whether oncologist implicit racial bias has similar effects in oncology interactions. We further investigated whether oncologist implicit bias negatively affects patients’ perceptions of recommended treatments (i.e., degree of confidence, expected difficulty). We predicted oncologist implicit bias would negatively affect communication, patient reactions to interactions, and, indirectly, patient perceptions of recommended treatments. Methods Participants were 18 non-black medical oncologists and 112 black patients. Oncologists completed an implicit racial bias measure several weeks before video-recorded treatment discussions with new patients. Observers rated oncologist communication and recorded interaction length of time and amount of time oncologists and patients spoke. Following interactions, patients answered questions about oncologists’ patient-centeredness and difficulty remembering contents of the interaction, distress, trust, and treatment perceptions. Results As predicted, oncologists higher in implicit racial bias had shorter interactions, and patients and observers rated these oncologists’ communication as less patient-centered and supportive. Higher implicit bias also was associated with more patient difficulty remembering contents of the interaction. In addition, oncologist implicit bias indirectly predicted less patient confidence in recommended treatments, and greater perceived difficulty completing them, through its impact on oncologists’ communication (as rated by both patients and observers). Conclusion Oncologist implicit racial bias is negatively associated with oncologist communication, patients’ reactions to racially discordant oncology interactions, and patient perceptions of recommended treatments. These perceptions could subsequently directly affect patient-treatment decisions. Thus, implicit racial bias is a likely source of racial treatment disparities and must be addressed in oncology training and practice.

APA, Harvard, Vancouver, ISO, and other styles

26

Lian, Zhangjun, and Qingshun He. "A Contrastive Study of Interpersonal Meaning in Chinese and Western Outpatient Clinic Interaction." International Journal of Linguistics 11, no. 5 (October 10, 2019): 67. http://dx.doi.org/10.5296/ijl.v11i5.15090.

Full text

Abstract:

Outpatient clinic interactions have direct impacts on the medical consultation of doctors, the health of patients and the doctor-patient relationship. In an outpatient clinic interaction, the doctor constructs and the patient reconstructs the meaning. Based on the interpersonal metafuncion of systemic functional linguistics, this research investigated the characteristics of mood and modality in Chinese and western outpatient clinic interactions and identified the interpersonal functions of these interactions. It is found that the Chinese outpatient clinic interactions have positive semantic meanings and construe a harmonious interaction, while the western outpatient clinic interactions have negative semantic meanings and construe a contradictory interaction.

APA, Harvard, Vancouver, ISO, and other styles

27

Kibrom, Samson, Zelalem Tilahun, and Solomon Assefa Huluka. "Potential Drug-Drug Interactionsamong Adult Patients Admitted to MedicalWards at a Tertiary Teaching Hospital inEthiopia." Journal of Drug Delivery and Therapeutics 8, no. 5-s (October 1, 2018): 348–54. http://dx.doi.org/10.22270/jddt.v8i5-s.2056.

Full text

Abstract:

Abstract Introduction: A Drug-drug interaction (DDI) is a decrease or increase in the pharmacological or clinical response to the administration of two or more drugs that are different from the anticipated response they initiate when individually administered. Objectives: To assess the prevalence and factors associated with potential DDIs among adult inpatients admitted to the medical wards of a tertiary teaching Hospital in Ethiopia. Methods: A retrospective cross-sectional study design was employed on adult patients who were admitted to the medical ward in one year period. A total of 384patients’ medical records were checked for a possible DDI using Micromedex DrugReax® drug interaction database and analyzed consecutively using SPSS version 20.0. Results: Among 384 adult patients enrolled in the study, 209 (54.4%) of them had medications with at least one potential DDI in their prescriptions. Of the 209 potential DDI, 26.3% were with a minimum of one major potential DDI. The median number of potential DDI per patient was 2.2. Overall, 296 potential DDI were identified in the current study. Among 296 identified potential drug-drug interactions, most of the interaction (49.7%) had good documentation. The number of medication prescribed per patient showed a significant (p< 0.001) association with the occurrence of potential DDIs. Conclusion: More than half of the patients’ prescription contains potentially interacting medications. This study, additionally, revealed that there is a significant association between potential DDIs and number of medications prescribed per patient. Key words: Drug-drug interactions, pharmacokinetic interaction, pharmacodynamic interaction, internal medicine

APA, Harvard, Vancouver, ISO, and other styles

28

Choudhury, Avishek, and Onur Asan. "Human factors: bridging artificial intelligence and patient safety." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 9, no. 1 (September 2020): 211–15. http://dx.doi.org/10.1177/2327857920091007.

Full text

Abstract:

The recent launch of complex artificial intelligence (AI) in the domain of healthcare has embedded perplexities within patients, clinicians, and policymakers. The opaque and complex nature of artificial intelligence makes it challenging for clinicians to interpret its outcome. Incorrect interpretation and poor utilization of AI might hamper patient safety. The principles of human factors and ergonomics (HFE) can assist in simplifying AI design and consecutively optimize human performance ensuring better understanding of AI outcome, their interaction with the clinical workflow. In this paper, we discuss the interactions of providers with AI and how HFE can influence these interacting components to patient safety.

APA, Harvard, Vancouver, ISO, and other styles

29

PRINIANAKIS, G., E. KONDILI, and D. GEORGOPOULOS. "Patient–Ventilator Interaction: An Overview." Respiratory Care Clinics of North America 11, no. 2 (June 2005): 201–24. http://dx.doi.org/10.1016/j.rcc.2005.02.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Roter, Debra L., and Judith A. Hall. "Studies of Doctor-Patient Interaction." Annual Review of Public Health 10, no. 1 (May 1989): 163–80. http://dx.doi.org/10.1146/annurev.pu.10.050189.001115.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Utamsingh, Pooja Dushyant, Laura Smart Richman, Julie L. Martin, Micah R. Lattanner, and Jeremy Ross Chaikind. "Heteronormativity and practitioner–patient interaction." Health Communication 31, no. 5 (September 30, 2015): 566–74. http://dx.doi.org/10.1080/10410236.2014.979975.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Craig, Marveen. "The Challenge of Patient Interaction." Journal of Diagnostic Medical Sonography 3, no. 3 (May 1987): 147–50. http://dx.doi.org/10.1177/875647938700300308.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Lobel, Madeline. "Book Review: Patient Practitioner Interaction." Canadian Journal of Occupational Therapy 58, no. 4 (October 1991): 203–4. http://dx.doi.org/10.1177/000841749105800414.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Kim, Eun Jeong. "Emergency Nurse-Patient Interaction Behavior." Journal of Korean Academy of Nursing 35, no. 6 (2005): 1004. http://dx.doi.org/10.4040/jkan.2005.35.6.1004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Lu, Xinyi, Runtong Zhang, and Xiaomin Zhu. "An Empirical Study on Patients’ Acceptance of Physician-Patient Interaction in Online Health Communities." International Journal of Environmental Research and Public Health 16, no. 24 (December 12, 2019): 5084. http://dx.doi.org/10.3390/ijerph16245084.

Full text

Abstract:

In China, the utilization of medical resources is contentious, and a large of hospitals are seriously congested because of the huge population and uneven distribution of medical resources. Online health communities (OHCs) provide patients with platforms to interact with physicians and to get professional suggestions and emotional support. This study adopted the unified theory of acceptance and use of technology to identify factors influencing patients’ behavioral intention and usage behavior when interacting with physicians in OHCs. An investigation involving 378 valid responses was conducted through several Chinese OHCs to collect data. Confirmatory factor analysis and structural equation modelling were utilized to test hypotheses. Both the reliability and validity of the scales were acceptable. All five hypotheses were supported, and behavioral intention played a significant mediating role between independent variables and dependent variables. This study clarified the mechanism by which performance expectancy, effort expectancy, social influence and attitude toward using technology affect usage behavior through the mediation of behavioral intention in OHCs. These findings suggest that OHCs can change the actions of websites such as adopting some incentives to promote patients’ intention of interaction. Physicians should understand patients’ actual attitudes toward OHCs and try to guide patients in their interactions, improving the quality of physician–patient interaction.

APA, Harvard, Vancouver, ISO, and other styles

36

Shaw, Yomei, Delphine S. Courvoisier, Almut Scherer, Adrian Ciurea, Thomas Lehmann, Veronika K. Jaeger, Ulrich A. Walker, and Axel Finckh. "Impact of assessing patient-reported outcomes with mobile apps on patient–provider interaction." RMD Open 7, no. 1 (April 2021): e001566. http://dx.doi.org/10.1136/rmdopen-2021-001566.

Full text

Abstract:

ObjectiveTo explore the effect of apps measuring patient-reported outcomes (PROs) on patient–provider interaction in the rheumatic diseases in an observational setting.MethodsPatients in the Swiss Clinical Quality Management in Rheumatic Diseases Registry were offered mobile apps (iDialog and COmPASS) to track disease status between rheumatology visits using validated PROs (Rheumatoid Arthritis Disease Activity Index-5 score, Bath Ankylosing Spondylitis Disease Activity Index score, Routine Assessment of Patient Index Data-3 score and Visual Analogue Scale score for pain, disease activity and skin symptoms). We assessed two aspects of patient–provider interaction: shared decision making (SDM) and physician awareness of disease fluctuations. We used logistic regressions to compare outcomes among patients who (1) used an app and discussed app data with their physician (app+discussion group), (2) used an app without discussing the data (app-only group) or (3) did not use any app (non-app users).Results2111 patients were analysed, including 1799 non-app users, 150 app-only users and 162 app+discussion users (43% male; with 902 patients with rheumatoid arthritis, 766 patients with axial spondyloarthritis and 443 patients with psoriatic arthritis). App users were younger than non-app users (mean age of 47 vs 51 years, p<0.001). Compared with non-app users, the app+discussion group rated their rheumatologist more highly in SDM (OR 1.7, 95% CI 1.1 to 2.4) and physician awareness of disease fluctuations (OR 2.0, 95% CI 1.3 to 3.1). This improvement was absent in the app-only group.ConclusionApp users who discussed app data with their rheumatologist reported more favourably on patient–provider interactions than app users who did not and non-app users. Apps measuring PROs may contribute little to patient–provider interactions without integration of app data into care processes.

APA, Harvard, Vancouver, ISO, and other styles

37

Widjaja, Herry Prabowo Krestiyanto. "Assessment of Patient Satisfaction Among Pregnant Patients in The Out-Patient Department of Obstetrics and Gynecology Section at Metropolitan Medical Center Manila." Jurnal Manajemen Kesehatan Indonesia 8, no. 3 (December 27, 2020): 148–52. http://dx.doi.org/10.14710/jmki.8.3.2020.148-152.

Full text

Abstract:

ABSTRACT Patient satisfaction reflects the quality of an institution’s delivery of health care services. Patient satisfaction is a critical factor in improvement or complete recuperation to wellness because satisfied patients will mean better compliance to treatment or follow up. As reported in the 2017 Annual OPD census of the Department of Obstetrics and Gynecology, there were 2617 total patient consultations. Majority of these (2138 or 81.7 %) were obstetrical cases. The average number of consultations per day (for Obstetrics and Gynecology patients combined) is 91. Therefore, the Out-Patient Clinic plays an important role in prenatal care specifically the prevention of adverse maternal and neonatal morbidity and mortality. This study aimed to assess the level of patient satisfaction among obstetrical patients in the Out Patient Department of the Obstetrics and Gynecology Section at Metropolitan Medical Center from July 1, 2018 to July 31, 2018 and to see the relationship between socio-demographic characteristic and the level of patient satisfaction. This is a descriptive, cross sectional study. The level of patient satisfaction assessed as to physical facilities, interaction between doctor and patient, interaction between nurses and patient, and registration service. There were sixty three subjects in this study. Sixty three were satisfied with inclusion criteria. The validated questionnaire was the pretested questionnaire which was 96 % valid and reliable by Cronbach’s analysis. Statistical analysis was done which showed respondents were generally satisfied. There were significant relationship association between socio-demographic characteristics and level of patient satisfaction with P value < 0.05.Key Word : Patient Satisfaction, Socio Demographic Characteristic

APA, Harvard, Vancouver, ISO, and other styles

38

Irish, Julie T. "Deciphering the Physician—Older Patient Interaction." International Journal of Psychiatry in Medicine 27, no. 3 (September 1997): 251–67. http://dx.doi.org/10.2190/cq97-y82h-6p2e-9bj4.

Full text

Abstract:

Objective: The purpose of this article is to provide a commentary on nonverbal communication in the physician-older patient interaction. Method: A literature review of physician-older patient communication yielded several published studies on this topic. Nonverbal behaviors were rarely examined in this body of literature even though the need to adopt a more “biopsycho-social” model of care was mentioned in several of the articles. The nonverbal communication literature was also reviewed to determine whether aging had been a variable of interest with regard to encoding (sending) and decoding communication (receiving) skills. Results: To date there have been very few studies that have investigated the role of nonverbal communication in the physician-older patient interaction. Selected encoding and decoding characteristics for both physicians and patients are discussed with the context of the aging process. In lieu of direct evidence linking nonverbal behavior and physician-older patient communication, possible implications are offered for the following characteristics: expression of emotion, pain expression, gestures, gaze, touch, hearing, and vocal affect. Three relevant outcomes (satisfaction with care, quality of life, and health status) are also discussed within the nonverbal behavior-aging framework. Conclusion: The connection between nonverbal behavior and how physicians and older patients interact with one another has not been rigorously examined. Identifying and improving nonverbal communication will likely enhance the verbal exchange in the medical encounter and may improve the older patient's quality of care.

APA, Harvard, Vancouver, ISO, and other styles

39

Larijani, Banafshé, James Miles, Stephen G. Ward, and Peter J. Parker. "Quantification of biomarker functionality predicts patient outcomes." British Journal of Cancer 124, no. 10 (March 15, 2021): 1618–20. http://dx.doi.org/10.1038/s41416-021-01291-3.

Full text

Abstract:

SummaryImplementation of a quantitative molecular imaging method (iFRET), which determines receptor–ligand interactions, has led to the finding that patients with a low extent of PD-1/PD-L1 interaction in metastatic NSCLC, and malignant melanoma, display significantly worsened overall survival compared to those with a high level of interaction.

APA, Harvard, Vancouver, ISO, and other styles

40

Gross, Christoph, Theresa Schachner, Andrea Hasl, Dario Kohlbrenner, Christian F. Clarenbach, Forian V. Wangenheim, and Tobias Kowatsch. "Personalization of Conversational Agent-Patient Interaction Styles for Chronic Disease Management: Two Consecutive Cross-sectional Questionnaire Studies." Journal of Medical Internet Research 23, no. 5 (May 26, 2021): e26643. http://dx.doi.org/10.2196/26643.

Full text

Abstract:

Background Conversational agents (CAs) for chronic disease management are receiving increasing attention in academia and the industry. However, long-term adherence to CAs is still a challenge and needs to be explored. Personalization of CAs has the potential to improve long-term adherence and, with it, user satisfaction, task efficiency, perceived benefits, and intended behavior change. Research on personalized CAs has already addressed different aspects, such as personalized recommendations and anthropomorphic cues. However, detailed information on interaction styles between patients and CAs in the role of medical health care professionals is scant. Such interaction styles play essential roles for patient satisfaction, treatment adherence, and outcome, as has been shown for physician-patient interactions. Currently, it is not clear (1) whether chronically ill patients prefer a CA with a paternalistic, informative, interpretive, or deliberative interaction style, and (2) which factors influence these preferences. Objective We aimed to investigate the preferences of chronically ill patients for CA-delivered interaction styles. Methods We conducted two studies. The first study included a paper-based approach and explored the preferences of chronic obstructive pulmonary disease (COPD) patients for paternalistic, informative, interpretive, and deliberative CA-delivered interaction styles. Based on these results, a second study assessed the effects of the paternalistic and deliberative interaction styles on the relationship quality between the CA and patients via hierarchical multiple linear regression analyses in an online experiment with COPD patients. Patients’ sociodemographic and disease-specific characteristics served as moderator variables. Results Study 1 with 117 COPD patients revealed a preference for the deliberative (50/117) and informative (34/117) interaction styles across demographic characteristics. All patients who preferred the paternalistic style over the other interaction styles had more severe COPD (three patients, Global Initiative for Chronic Obstructive Lung Disease class 3 or 4). In Study 2 with 123 newly recruited COPD patients, younger participants and participants with a less recent COPD diagnosis scored higher on interaction-related outcomes when interacting with a CA that delivered the deliberative interaction style (interaction between age and CA type: relationship quality: b=−0.77, 95% CI −1.37 to −0.18; intention to continue interaction: b=−0.49, 95% CI −0.97 to −0.01; working alliance attachment bond: b=−0.65, 95% CI −1.26 to −0.04; working alliance goal agreement: b=−0.59, 95% CI −1.18 to −0.01; interaction between recency of COPD diagnosis and CA type: working alliance goal agreement: b=0.57, 95% CI 0.01 to 1.13). Conclusions Our results indicate that age and a patient’s personal disease experience inform which CA interaction style the patient should be paired with to achieve increased interaction-related outcomes with the CA. These results allow the design of personalized health care CAs with the goal to increase long-term adherence to health-promoting behavior.

APA, Harvard, Vancouver, ISO, and other styles

41

Halpert, Albena. "Irritable Bowel Syndrome: Patient-Provider Interaction and Patient Education." Journal of Clinical Medicine 7, no. 1 (January 2, 2018): 3. http://dx.doi.org/10.3390/jcm7010003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Hamel, Lauren M., Robert Moulder, Louis Penner, Terrance Lynn Albrecht, Steven Boker, David W. Dougherty, and Susan Eggly. "Nonconscious nonverbal synchrony and patient and physician affect and rapport in cancer treatment discussions with black and white patients." Journal of Clinical Oncology 38, no. 29_suppl (October 10, 2020): 121. http://dx.doi.org/10.1200/jco.2020.38.29_suppl.121.

Full text

Abstract:

121 Background: Clinical communication is poorer with Black patients than with White patients, but most studies are limited to verbal communication. Nonverbal synchrony, the nonconscious coordination of movement between individuals, has been shown to reflect relationship quality. We investigated nonverbal synchrony’s association with patient and physician affect and rapport in cancer treatment discussions, and if those associations differed by patient race. Methods: We used motion detection software to measure overall synchrony and synchrony based on who is leading in the interaction (similar to leading in dancing) in video recordings of 68 Black patients and 163 White patients discussing treatment with their physicians. Naïve observers rated the interaction for six constructs: patient and physician positive and negative affect and patient-physician positive and negative rapport. We examined associations between patient race, nonverbal synchrony and the six constructs. Results: In interactions with Black patients, overall synchrony was positively associated with patients’ positive affect and positive patient-physician rapport and negatively associated with patients’ negative affect and negative patient-physician rapport. When the physician was leading, synchrony was positively associated with patients’ positive affect and positive patient-physician rapport and negatively associated with patients’ negative affect and negative patient-physician rapport. When the patient was leading, synchrony was positively associated with patients’ and physicians’ positive affect and positive patient-physician rapport, and negatively associated with patients’ negative affect and negative patient-physician rapport. In interactions with White patients, overall synchrony was positively associated with patient positive affect; when the physician was leading, synchrony was negatively associated with patient negative affect. Conclusions: This is the first study to use a dynamic, jointly-determined measure in patient-physician communication. Synchrony was related to patient and physician affect and rapport in interactions with Black patients, but only patient affect in interactions with White patients, suggesting nonverbal synchrony is particularly important in interactions with Black patients. Next, we will investigate associations with patient outcomes, such as satisfaction. Findings could contribute to physician training to enhance coordination and outcomes in oncology interactions.

APA, Harvard, Vancouver, ISO, and other styles

43

Saibi, Yardi, Delina Hasan, and Verona Shaqila. "Drug Interaction Potency on Type 2 Diabetes Mellitus Patient in Hospital X in South Tangerang." JURNAL MANAJEMEN DAN PELAYANAN FARMASI (Journal of Management and Pharmacy Practice) 8, no. 3 (October 31, 2018): 100. http://dx.doi.org/10.22146/jmpf.34027.

Full text

Abstract:

Drug interaction is an interaction among a drug with other ingredients that prevents the drug from giving certain or expected effect. Such interaction might happen between a drug and other drugs, drugs with food, as well as drugs and disease. Potential drug interaction in patients with type 2 diabetes mellitus in some hospitals had been reported by several previous publications. This study aimed to identify the potential of drug interactions in patients with type 2 diabetes mellitus at Hospital X, South Tangerang. This paper is a descriptive research with retrospective retrieval data. Data were obtained in the form of patient medical records from July 2014 to June 2015. Data analysis was done by descriptive statistic analysis using SPSS version 16. The results showed that there were 90 medical records that fulfilled the inclusion criteria. Of these, 57.7% was found to be potential drug interaction. There are 55 drug interactions that potentially cause hypoglycemia, and there are 21 times that potentially cause hyperglycemia. The severity of interaction in moderate category was 89.39% (total of 66), and the rest was in minor category. Major categories were not found. The potential for drug interactions in type 2 diabetes mellitus patients is quite common and these findings complement the findings of previous published studies. Physicians and pharmacists as health workers who are directly related to the treatment of patients need to increase awareness of the potency of interactions of these drugs.

APA, Harvard, Vancouver, ISO, and other styles

44

Poon, Michael, Brady S. Moffett, and Donald L. Yee. "Warfarin-Rifampin Drug Interaction in a Pediatric Patient." Journal of Pediatric Pharmacology and Therapeutics 22, no. 5 (September 1, 2017): 375–77. http://dx.doi.org/10.5863/1551-6776-22.5.375.

Full text

Abstract:

Rifampin has been documented to significantly attenuate the effect of warfarin in adult patients. No data have been presented on the use of rifampin and warfarin in a pediatric patient. We report an extreme case of increased warfarin metabolism in a pediatric patient who was concomitantly receiving rifampin, despite receiving other medications that significantly decrease warfarin metabolism. The inhibitory effect of rifampin on warfarin therapy may be amplified in pediatric patients.

APA, Harvard, Vancouver, ISO, and other styles

45

Hamel, Lauren M., Robert Moulder, Louis Penner, Terrance Lynn Albrecht, Steven Boker, David W. Dougherty, and Susan Eggly. "Nonconscious nonverbal synchrony and patient and physician affect and rapport in cancer treatment discussions with black and white patients." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): 12116. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.12116.

Full text

Abstract:

12116 Background: Clinical communication is poorer with Black patients than with White patients, but most studies are limited to verbal communication. Nonverbal synchrony, the subtle, nonconscious coordination of movement between individuals, has been shown to reflect relationship quality. We investigated nonverbal synchrony’s association with patient and physician affect and rapport in cancer treatment discussions, and if those associations differed by patient race. Methods: We used motion detection software to measure overall synchrony and synchrony based on who is leading in the interaction (similar to leading in dancing) in video recordings of 68 Black patients and 163 White patients discussing treatment with their non-Black physicians. Additionally, naïve observers rated the interaction for six constructs: patient and physician positive and negative affect and patient-physician positive and negative rapport. We examined associations between nonverbal synchrony and the six constructs. Results: In interactions with Black patients, overall synchrony was positively associated with patients’ positive affect and positive patient-physician rapport and negatively associated with patients’ negative affect and negative patient-physician rapport. When the physician was leading, synchrony was positively associated with patients’ positive affect and positive patient-physician rapport and negatively associated with patients’ negative affect and negative patient-physician rapport. When the patient was leading, synchrony was positively associated with patients’ and physicians’ positive affect and positive patient-physician rapport, and negatively associated with patients’ negative affect and negative patient-physician rapport. In interactions with White patients, overall synchrony was positively associated with patient positive affect; when the physician was leading, synchrony was negatively associated with patient negative affect. Conclusions: This is the first study to use an innovative measure of dynamic communication in patient-physician cancer treatment discussions. Nonverbal synchrony was related to patient and physician affect and rapport in interactions with Black patients, but only patient affect in interactions with White patients, suggesting nonverbal synchrony is particularly important in interactions with Black patients. Next steps include investigating associations with patient outcomes (e.g., satisfaction). Findings could contribute to physician training.

APA, Harvard, Vancouver, ISO, and other styles

46

Peck, B. Mitchell, and Sonya Conner. "Talking with Me or Talking at Me? The Impact of Status Characteristics on Doctor-Patient Interaction." Sociological Perspectives 54, no. 4 (December 2011): 547–67. http://dx.doi.org/10.1525/sop.2011.54.4.547.

Full text

Abstract:

Over the last two decades, the way doctors and patients interact has changed. There has been a shift away from what Talcott Parsons described as a paternalistic model of interaction to a more collaborative, participatory, patient-centered model of interaction. Yet not all interactions between doctors and patients are collaborative. Using status characteristics theory, the authors hypothesized that medical encounters are more likely to be physician dominated when the status differences between doctors and patients are higher. They tested hypotheses about race, gender, and socioeconomic status differences between doctors and patients. The authors found support for the hypotheses, especially regarding status differences for race and gender. Doctor-patient interactions were most physician-centered when doctors had higher status than patients on race (white versus non-white) and gender (male versus female)

APA, Harvard, Vancouver, ISO, and other styles

47

Witt, Daniel M., Allan J. Ellsworth, and John H. Leversee. "Amiodarone-Clonazepam Interaction." Annals of Pharmacotherapy 27, no. 12 (December 1993): 1463–64. http://dx.doi.org/10.1177/106002809302701210.

Full text

Abstract:

OBJECTIVE: To describe a potential drug interaction between amiodarone and clonazepam. CASE SUMMARY: A 78-year-old man with a history of congestive heart failure and coronary artery disease began taking amiodarone to suppress sustained ventricular tachycardia. Following the development of restless leg syndrome, therapy with clonazepam 0.5 mg qhs was initiated. Subsequently, the patient demonstrated signs and symptoms of benzodiazepine toxicity, which cleared following the discontinuation of clonazepam. DISCUSSION: Amiodarone is a Class III antiarrhythmic with an adverse-effect profile involving many different organ systems. It also has been shown to inhibit the metabolism of drugs cleared by oxidative microsomal enzymes. Clonazepam undergoes extensive hepatic metabolism, primarily by reduction and acetylation, and is therefore susceptible to altered disposition during concomitant administration of agents that inhibit hepatic microsomal enzymes. Hypothyroidism, occurring in up to 11 percent of patients treated with amiodarone, can also alter drug metabolism and sensitize the central nervous system, thus increasing the potential for toxicity. It is likely that a combination of these factors was responsible for the symptoms described in this patient. CONCLUSIONS: The complex pharmacologic profile of amiodarone and its effects on multiple organ systems necessitates close patient monitoring during concurrent administration of medications such as clonazepam, which are cleared by oxidative metabolism.

APA, Harvard, Vancouver, ISO, and other styles

48

Tritak, Ann Bernadette, and Instructional Videos Group. "Quality Hospital Nurse-Patient Interaction Series." American Journal of Nursing 89, no. 11 (November 1989): 1570. http://dx.doi.org/10.2307/3426167.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Hess, D. R. "Patient-Ventilator Interaction During Noninvasive Ventilation." Respiratory Care 56, no. 2 (February 1, 2011): 153–67. http://dx.doi.org/10.4187/respcare.01049.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Tansella, Michele. "Sequence Analyses of Patient-Provider Interaction." Epidemiologia e Psichiatria Sociale 12, no. 2 (June 2003): 77. http://dx.doi.org/10.1017/s1121189x00006102.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!