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المكتبة البحثية9 results

Peer-reviewed works with DOI and abstract, discovered from MEDLINE-indexed literature. Candidates: no tier, no stated finding, not yet read.

Non-clinical interventions for reducing unnecessary caesarean section.

Background: Caesarean section rates are increasing globally. The factors contributing to this increase are complex, and identifying interventions to address them is challenging. Non-clinical interventions are applied independently of a clinical encounter between a health provider and a patient. Such interventions may target women, health professionals or organisations. They address the determinants of caesarean births and could have a role in reducing unnecessary caesarean sections. This review was first published in 2011. This review update will inform a new WHO guideline, and the scope of the update was informed by WHO's Guideline Development Group for this guideline. Objectives: To evaluate the effectiveness and safety of non-clinical interventions intended to reduce unnecessary caesarean section. Search methods: We searched CENTRAL, MEDLINE, Embase, CINAHL and two trials registers in March 2018. We also searched websites of relevant organisations and reference lists of related reviews. Selection criteria: Randomised trials, non-randomised trials, controlled before-after studies, interrupted time series studies and repeated measures studies were eligible for inclusion. The primary outcome measures were: caesarean section, spontaneous vaginal birth and instrumental birth. Data collection and analysis: We followed standard methodological procedures recommended by Cochrane. We narratively described results of individual studies (drawing summarised evidence from single studies assessing distinct interventions). Main results: We included 29 studies in this review (19 randomised trials, 1 controlled before-after study and 9 interrupted time series studies). Most of the studies (20 studies) were conducted in high-income countries and none took place in low-income countries. The studies enrolled a mixed population of pregnant women, including nulliparous women, multiparous women, women with a fear of childbirth, women with high levels of anxiety and women having undergone a previous caesarean section. Overall, we found low-, moderate- or high-certainty evidence that the following interventions have a beneficial effect on at least one primary outcome measure and no moderate- or high-certainty evidence of adverse effects. Interventions targeted at women or familiesChildbirth training workshops for mothers alone may reduce caesarean section (risk ratio (RR) 0.55, 95% confidence interval (CI) 0.33 to 0.89) and may increase spontaneous vaginal birth (RR 2.25, 95% CI 1.16 to 4.36). Childbirth training workshops for couples may reduce caesarean section (RR 0.59, 95% CI 0.37 to 0.94) and may increase spontaneous vaginal birth (RR 2.13, 95% CI 1.09 to 4.16). We judged this one study with 60 participants to have low-certainty evidence for the outcomes above. Nurse-led applied relaxation training programmes (RR 0.22, 95% CI 0.11 to 0.43; 104 participants, low-certainty evidence) and psychosocial couple-based prevention programmes (RR 0.53, 95% CI 0.32 to 0.90; 147 participants, low-certainty evidence) may reduce caesarean section. Psychoeducation may increase spontaneous vaginal birth (RR 1.33, 95% CI 1.11 to 1.61; 371 participants, low-certainty evidence). The control group received routine maternity care in all studies. There were insufficient data on the effect of the four interventions on maternal and neonatal mortality or morbidity. Interventions targeted at healthcare professionalsImplementation of clinical practice guidelines combined with mandatory second opinion for caesarean section indication slightly reduces the risk of overall caesarean section (mean difference in rate change -1.9%, 95% CI -3.8 to -0.1; 149,223 participants). Implementation of clinical practice guidelines combined with audit and feedback also slightly reduces the risk of caesarean section (risk difference (RD) -1.8%, 95% CI -3.8 to -0.2; 105,351 participants). Physician education by local opinion leader (obstetrician-gynaecologist) reduced the risk of elective caesarean section to 53.7% from 66.8% (opinion leader education: 53.7%, 95% CI 46.5 to 61.0%; control: 66.8%, 95% CI 61.7 to 72.0%; 2496 participants). Healthcare professionals in the control groups received routine care in the studies. There was little or no difference in maternal and neonatal mortality or morbidity between study groups. We judged the certainty of evidence to be high. Interventions targeted at healthcare organisations or facilitiesCollaborative midwifery-labourist care (in which the obstetrician provides in-house labour and delivery coverage, 24 hours a day, without competing clinical duties), versus a private practice model of care, may reduce the primary caesarean section rate. In one interrupted time series study, the caesarean section rate decreased by 7% in the year after the intervention, and by 1.7% per year thereafter (1722 participants); the vaginal birth rate after caesarean section increased from 13.3% before to 22.4% after the intervention (684 participants). Maternal and neonatal mortality were not reported. We judged the certainty of evidence to be low. We studied the following interventions, and they either made little or no difference to caesarean section rates or had uncertain effects. Moderate-certainty evidence suggests little or no difference in caesarean section rates between usual care and: antenatal education programmes for physiologic childbirth; antenatal education on natural childbirth preparation with training in breathing and relaxation techniques; computer-based decision aids; individualised prenatal education and support programmes (versus written information in pamphlet).Low-certainty evidence suggests little or no difference in caesarean section rates between usual care and: psychoeducation; pelvic floor muscle training exercises with telephone follow-up (versus pelvic floor muscle training without telephone follow-up); intensive group therapy (cognitive behavioural therapy and childbirth psychotherapy); education of public health nurses on childbirth classes; role play (versus standard education using lectures); interactive decision aids (versus educational brochures); labourist model of obstetric care (versus traditional model of obstetric care).We are very uncertain as to the effect of other interventions identified on caesarean section rates as the certainty of the evidence is very low. Authors' conclusions: We evaluated a wide range of non-clinical interventions to reduce unnecessary caesarean section, mostly in high-income settings. Few interventions with moderate- or high-certainty evidence, mainly targeting healthcare professionals (implementation of guidelines combined with mandatory second opinion, implementation of guidelines combined with audit and feedback, physician education by local opinion leader) have been shown to safely reduce caesarean section rates. There are uncertainties in existing evidence related to very-low or low-certainty evidence, applicability of interventions and lack of studies, particularly around interventions targeted at women or families and healthcare organisations or facilities.

The Cochrane database of systematic reviews · meta-analysis · 131 citationsread the source →

Wilkinson SA, van der Pligt P, Gibbons KS, McIntyre HD. (2015)MEDLINE-indexed journal, not yet read by usJournal of human nutrition and dietetics : the official journal of the British Dietetic Association · randomised controlled trial

Trial for Reducing Weight Retention in New Mums: a randomised controlled trial evaluating a low intensity, postpartum weight management programme.

Background: Failure to return to pregnancy weight by 6 months postpartum is associated with long-term obesity, as well as adverse health outcomes. This research evaluated a postpartum weight management programme for women with a body mass index (BMI) > 25 kg m(-2) that combined behaviour change principles and a low-intensity delivery format with postpartum nutrition information. Methods: Women were randomised at 24-28 weeks to control (supported care; SC) or intervention (enhanced care; EC) groups, stratified by BMI cohort. At 36 weeks of gestation, SC women received a 'nutrition for breastfeeding' resource and EC women received a nutrition assessment and goal-setting session about post-natal nutrition, plus a 6-month correspondence intervention requiring return of self-monitoring sheets. Weight change, anthropometry, diet, physical activity, breastfeeding, fasting glucose and insulin measures were assessed at 6 weeks and 6 months postpartum. Results: Seventy-seven percent (40 EC and 41 SC) of the 105 women approached were recruited; 36 EC and 35 SC women received a programme and 66.7% and 48.6% completed the study, respectively. No significant differences were observed between any outcomes. Median [interquartile range (IQR)] weight change was EC: -1.1 (9.5) kg versus SC: -1.1 (7.5) kg (6 weeks to 6 months) and EC: +1.0 (8.7) kg versus SC: +2.3 (9) kg (prepregnancy to 6 months). Intervention women breastfed for half a month longer than control women (180 versus 164 days; P = 0.10). An average of 2.3 out of six activity sheets per participant was returned. Conclusions: Despite low intervention engagement, the high retention rate suggests this remains an area of interest to women. Future strategies must facilitate women's engagement, be individually tailored, and include features that support behaviour change to decrease women's risk of chronic health issues.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · randomised controlled trial · 30 citationsread the source →

Li WHC, Ho KY, Lam KKW, Lam HS, Chui SY, Chan GCF, Cheung AT, Ho LLK, Chung OK. (2018)MEDLINE-indexed journal, not yet read by usInternational journal of nursing studies · randomised controlled trial

Adventure-based training to promote physical activity and reduce fatigue among childhood cancer survivors: A randomized controlled trial.

Background: Cancer-related fatigue is one of the most distressing symptoms reported by childhood cancer survivors. Despite the body of evidence that regular physical activity helps alleviate cancer-related fatigue, insufficient participation in physical activity is frequently observed among childhood cancer survivors. Objectives: This study examined the effectiveness of an adventure-based training programme in promoting physical activity, reducing fatigue, and enhancing self-efficacy and quality of life among Hong Kong Chinese childhood cancer survivors. Design: A prospective randomised controlled trial. Settings: A paediatric oncology outpatient clinic, a non-governmental organisation, and a non-profit voluntary organisation. Participants: Hong Kong Chinese childhood cancer survivors aged 9-16 years who reported symptoms of fatigue and had not engaged in regular physical exercise in the past 6 months. Methods: The experimental group underwent a 4-day adventure-based training programme. The control group received a placebo intervention. The primary outcome was fatigue at 12 months. Secondary outcomes were physical activity levels, self-efficacy and quality of life at 12 months. Data collection was conducted at baseline, and 6 and 12 months after the intervention began. We performed intention-to-treat analyses. Results: From 6 January, 2014 to 8 June, 2015, we randomly assigned 222 eligible childhood cancer survivors to either an experimental (n = 117) or a control group (n = 105). The experimental group showed statistically significantly lower levels of cancer-related fatigue (P < 0.001), higher levels of self-efficacy (P < 0.001) and physical activity (P < 0.001), and better quality of life (P < 0.01) than the control group at 12 months. Conclusions: This study provides evidence that adventure-based training is effective in promoting physical activity, reducing cancer-related fatigue, and enhancing self-efficacy and quality of life among Hong Kong Chinese childhood cancer survivors. These results may help inform parents and healthcare professionals that regular physical activity is crucial for the physical and psychological wellbeing and quality of life of childhood cancer survivors.

International journal of nursing studies · randomised controlled trial · 56 citationsread the source →

March JC, Oviedo-Joekes E, Perea-Milla E, Carrasco F, PEPSA team. (2006)MEDLINE-indexed journal, not yet read by usJournal of substance abuse treatment · randomised controlled trial

Controlled trial of prescribed heroin in the treatment of opioid addiction.

Aim: This study aimed to assess the efficacy of the prescription of intravenous diacetylmorphine (DAM) versus oral methadone with medical and psychosocial support, with a view of improving physical and mental health as well as social integration among socially excluded, opioid-dependent individuals for whom standard treatments have failed. Design: This study used an open, randomized controlled trial. Setting: This study took place in Granada, Spain. Participants: Sixty-two opioid-dependent participants were randomized, 31 in each treatment group, and 50 of them were analyzed. The participants were recruited directly from the streets, through peer outreach, in well-known meeting places for drug-addicted individuals. Interventions: Participants in the experimental group received injected DAM, twice a day, plus oral methadone, once a day, for 9 months. The control group received only oral methadone, once a day. The two groups received an equivalent opioid dosage. The average DAM dosage was 274.5 mg/day (range: 15-600 mg), and an average methadone dosage was 42.6 mg/day (range: 18-124 mg). The daily methadone dosage in the control group was 105 mg/day (range: 40-180 mg). Comprehensive clinical, psychological, social, and legal support was given to both groups. Measurements: The following were measured in this study: general health, quality of life, drug-addiction-related problems, nonmedical use of heroin, risk behavior for HIV and HCV, and psychological, family, and social status. Findings: Both groups improved with respect to the total domain assessed. Those in the experimental group showed greater improvement in terms of physical health (the improvement was 2.5 times higher; p = .034) and risk behavior for HIV infection (the improvement was 1.6 times higher; p = .012). In addition, this group decreased its street heroin use from 25 days/month to 8 days/month as seen on the Addiction Severity Index (p = .020), as well as the number of days free from drug-related problems (the improvement was 2.1 times higher; p = .004) or involvement in crime (from 11 days/month to <1 day/month; p = .096 between groups). Conclusions: These findings support the hypothesis that, under the same conditions, DAM could be safely delivered, in our context. Also, in physical health, HIV risk behavior, street heroin use, and days involved in crime, DAM plus methadone was more efficacious than methadone alone. This implies that this treatment could provide an effective alternative for the treatment of socially excluded, opioid-dependent patients with severe physical and mental health problems because of drug addiction, when all available previous treatments have failed.

Journal of substance abuse treatment · randomised controlled trial · 91 citationsread the source →

Maramba I, Chatterjee A, Newman C. (2019)MEDLINE-indexed journal, not yet read by usInternational journal of medical informatics · review

Methods of usability testing in the development of eHealth applications: A scoping review.

Background: The number of eHealth applications has exponentially increased in recent years, with over 325,000 health apps now available on all major app stores. This is in addition to other eHealth applications available on other platforms such as PC software, web sites and even gaming consoles. As with other digital applications, usability is one of the key factors in the successful implementation of eHealth apps. Reviews of the literature on empirical methods of usability testing in eHealth were last published in 2015. In the context of an exponentially increasing rate of App development year on year, an updated review is warranted. Objective: To identify, explore, and summarize the current methods used in the usability testing of eHealth applications. Methods: A scoping review was conducted on literature available from April 2014 up to October 2017. Four databases were searched. Literature was considered for inclusion if it was (1) focused on an eHealth application (which includes websites, PC software, smartphone and tablet applications), (2) provided information about usability of the application, (3) provided empirical results of the usability testing, (4) a full or short paper (not an abstract) published in English after March 2014. We then extracted data pertaining to the usability evaluation processes described in the selected studies. Results: 133 articles met the inclusion criteria. The methods used for usability testing, in decreasing order of frequency were: questionnaires (n = 105), task completion (n = 57), 'Think-Aloud' (n = 45), interviews (n = 37), heuristic testing (n = 18) and focus groups (n = 13). Majority of the studies used one (n = 45) or two (n = 46) methods of testing. The rest used a combination of three (n = 30) or four (n = 12) methods of testing usability. None of the studies used automated mechanisms to test usability. The System Usability Scale (SUS) was the most frequently used questionnaire (n = 44). The ten most frequent health conditions or diseases where eHealth apps were being evaluated for usability were the following: mental health (n = 12), cancer (n = 10), nutrition (n = 10), child health (n = 9), diabetes (n = 9), telemedicine (n = 8), cardiovascular disease (n = 6), HIV (n = 4), health information systems (n = 4) and smoking (n = 4). Further iterations of the app were reported in a minority of the studies (n = 41). The use of the 'Think-Aloud' (Pearson Chi-squared test: χ2 = 11.15, p < 0.05) and heuristic walkthrough (Pearson Chi-squared test: χ2 = 4.48, p < 0.05) were significantly associated with at least one further iteration of the app being developed. Conclusion: Although there has been an exponential increase in the number of eHealth apps, the number of studies that have been published that report the results of usability testing on these apps has not increased at an equivalent rate. The number of digital health applications that publish their usability evaluation results remains only a small fraction. Questionnaires are the most prevalent method of evaluating usability in eHealth applications, which provide an overall measure of usability but do not pinpoint the problems that need to be addressed. Qualitative methods may be more useful in this regard. The use of multiple evaluation methods has increased. Automated methods such as eye tracking have not gained traction in evaluating health apps. Further research is needed into which methods are best suited for the different types of eHealth applications, according to their target users and the health conditions being addressed.

International journal of medical informatics · review · 297 citationsread the source →

Walsh K, McCormack CA, Webster R, Pinto A, Lee S, Feng T, Krakovsky HS, O'Grady SM, Tycko B, Champagne FA, Werner EA, Liu G, Monk C. (2019)MEDLINE-indexed journal, not yet read by usProceedings of the National Academy of Sciences of the United States of America

Maternal prenatal stress phenotypes associate with fetal neurodevelopment and birth outcomes.

Maternal prenatal stress influences offspring neurodevelopment and birth outcomes including the ratio of males to females born; however, there is limited understanding of what types of stress matter, and for whom. Using a data-driven approach with 27 variables from questionnaires, ambulatory diaries, and physical assessments collected early in the singleton pregnancies of 187 women, 3 latent profiles of maternal prenatal stress emerged that were differentially associated with sex at birth, birth outcomes, and fetal neurodevelopment. Most women (66.8%) were in the healthy group (HG); 17.1% were in the psychologically stressed group (PSYG), evidencing clinically meaningful elevations in perceived stress, depression, and anxiety; and 16% were in the physically stressed group (PHSG) with relatively higher ambulatory blood pressure and increased caloric intake. The population normative male:female secondary sex ratio (105:100) was lower in the PSYG (2:3) and PHSG (4:9), and higher in the HG (23:18), consistent with research showing diminished male births in maternal stress contexts. PHSG versus HG infants were born 1.5 wk earlier (P < 0.05) with 22% compared to 5% born preterm. PHSG versus HG fetuses had decreased fetal heart rate-movement coupling (P < 0.05), which may indicate slower central nervous system development, and PSYG versus PHSG fetuses had more birth complications, consistent with previous findings among offspring of women with psychiatric illness. Social support most strongly differentiated the HG, PSYG, and PHSG groups, and higher social support was associated with increased odds of male versus female births. Stress phenotypes in pregnant women are associated with male vulnerability and poor fetal outcomes.

Proceedings of the National Academy of Sciences of the United States of America · 142 citationsread the source →

Gray PH, Edwards DM, O'Callaghan MJ, Cuskelly M. (2012)MEDLINE-indexed journal, not yet read by usEarly human development

Parenting stress in mothers of preterm infants during early infancy.

Objective: Mothers of preterm infants during the first year of life may experience stresses greater that those found in mothers of term infants. The aim of the study was to determine the levels of parenting stress and psychological well-being in mothers of very preterm babies in comparison to a control group of term mothers. Methods: One hundred and five mothers who delivered 124 babies at ≤30weeks gestation were recruited together with 105 mothers who delivered 120 babies at term. At 4months of age (corrected for prematurity for the preterm babies), the mothers completed the Parenting Stress Index Short Form, the Edinburgh Postnatal Depression Scale (EPDS), the Dyadic Adjustment Scale (DAS) and the Short Temperament Scale for Infants (STSI). The preterm and term groups were compared. Results: Questionnaires were returned from 86 of the preterm mothers and 97 of the term mothers. The mean Total Stress score for the preterm and term groups was 67.0 and 63.79 respectively (P=0.32) with 17% of the preterm and 9% of the term group having high scores (P=0.135). There were no differences of the EPDS and the DAS between the groups. The temperament of the preterm infants was similar to the term infants. For both groups, scores on the EPDS, DAS and the STSI were independent predictors of Total Stress scores on multiple regression analysis. Conclusion: Parenting stress in mothers of preterm infants during early infancy does not appear to be greater than that in mothers of infants born at term. For both groups of mothers, depression symptoms, marital satisfaction and infant temperament were independent risk factors for high levels of parenting stress.

Early human development · 70 citationsread the source →

“Let Me See If I Have This Right …”: Words That Help Build Empathy

Medical Writings7 August 2001"Let Me See If I Have This Right …": Words That Help Build EmpathyJohn L. Coulehan, MD, Frederic W. Platt, MD, Barry Egener, MD, Richard Frankel, PhD, Chen-Tan Lin, MD, Beth Lown, MD, and William H. Salazar, MDJohn L. Coulehan, MDDr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902, Frederic W. Platt, MDDr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902, Barry Egener, MDDr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902, Richard Frankel, PhDDr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902, Chen-Tan Lin, MDDr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902, Beth Lown, MDDr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902, and William H. Salazar, MDDr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-135-3-200108070-00022 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Consider these two physician–patient dialogues:1. Patient: You know, when you discover a lump in your breast, you kind of feel—well, kind of—(her speech tapers off; she looks down; tears form in her eyes).Dr. A: When did you actually discover the lump?Patient: (absently) I don't know. It's been a while.2. Patient: (same as above)Dr. B: That sounds frightening. Patient: Well, yeah, sort of. Dr. B: Sort of frightening?Patient: Yeah … and I guess I'm feeling like my life is over. Dr. B: I see. Worried and sad too. Patient: That's it, Doctor. Dr. A's patient ...References1. Konrad TR, Williams ES, Linzer M, McMurray J, Pathman DE, Gerrity M, et al . Measuring physician job satisfaction in a changing workplace and a challenging environment. SGIM Career Satisfaction Study Group. Society of General Internal Medicine. Med Care. 1999;37:1174-82. [PMID: 10549620] CrossrefMedlineGoogle Scholar2. Donelan K, Blendon RJ, Lundberg GD, Calkins DR, Newhouse JP, Leape LL, et al . The new medical marketplace: physicians' views. Health Aff Millwood. 1997;16:139-48. [PMID: 9314685] CrossrefMedlineGoogle Scholar3. Bates AS, Harris LE, Tierney WM, Wolinsky FD. Dimensions and correlates of physician work satisfaction in a midwestern city. Med Care. 1998;36:610-7. [PMID: 9544600] CrossrefMedlineGoogle Scholar4. McMurray JE, Williams E, Schwartz MD, Douglas J, Van Kirk J, Konrad TR, et al . Physician job satisfaction: developing a model using qualitative data. SGIM Career Satisfaction Study Group. J Gen Intern Med. 1997;12:711-4. [PMID: 9383141] CrossrefMedlineGoogle Scholar5. Beckman HB, Frankel RM. The effect of physician behavior on the collection of data. Ann Intern Med. 1984;101:692-6. [PMID: 6486600] LinkGoogle Scholar6. Marvel MK, Epstein RM, Flowers K, Beckman HB. Soliciting the patient's agenda: have we improved? JAMA. 1999;281:283-7. [PMID: 9918487] CrossrefMedlineGoogle Scholar7. Roter DL, Stewart M, Putnam SM, Lipkin M, Stiles W, Inui TS. Communication patterns of primary care physicians. JAMA. 1997;277:350-6. [PMID: 9002500] CrossrefMedlineGoogle Scholar8. White J, Levinson W, Roter D. "Oh, by the way …": the closing moments of the medical visit. J Gen Intern Med. 1994;9:24-8. [PMID: 8133347] CrossrefMedlineGoogle Scholar9. Nightingale SD, Yarnold PR, Greenberg MS. Sympathy, empathy, and physician resource utilization. J Gen Intern Med. 1991;6:420-3. [PMID: 1744756] CrossrefMedlineGoogle Scholar10. Levinson W, Stiles WB, Inui TS, Engle R. Physician frustration in communicating with patients. Med Care. 1993;31:285-95. [PMID: 8464246] CrossrefMedlineGoogle Scholar11. Levinson W, Gorawara-Bhat R, Lamb J. A study of patient clues and physician responses in primary care and surgical settings. JAMA. 2000;284:1021-7. [PMID: 10944650] CrossrefMedlineGoogle Scholar12. Suchman AL, Roter D, Green M, Lipkin M. Physician satisfaction with primary care office visits. Collaborative Study Group of the American Academy on Physician and Patient. Med Care. 1993;31:1083-92. [PMID: 8246638] CrossrefMedlineGoogle Scholar13. Cohen-Cole SA. The Medical Interview: The Three-Function Approach. St. Louis: Mosby; 1991. Google Scholar14. Coulehan JL, Block MR. The Medical Interview. Mastering Skills for Clinical Practice. 4th ed. Philadelphia: FA Davis; 2001. Google Scholar15. More ES. "Empathy" enters the profession of medicine.. In: More ES, Milligan MA, eds. The Empathic Practitioner. Empathy, Gender, and Medicine. New Brunswick, NJ: Rutgers Univ Pr; 1994:19-39. Google Scholar16. Basch MF. Empathic understanding: a review of the concept and some theoretical considerations. J Am Psychoanal Assoc. 1983;31:101-26. [PMID: 6681414] CrossrefMedlineGoogle Scholar17. Wispe L. History of the concept of empathy.. In: Eisenberg N, Strayer J, eds. Empathy and Its Development. Cambridge, UK: Cambridge Univ Pr; 1987:17-37. Google Scholar18. Book HE. Empathy: misconceptions and misuses in psychotherapy. Am J Psychiatry. 1988;145:420-4. [PMID: 3348445] CrossrefMedlineGoogle Scholar19. Buie DH. Empathy: its nature and limitations. J Am Psychoanal Assoc. 1981;29:281-307. [PMID: 7264177] CrossrefMedlineGoogle Scholar20. Wilmer HA. The doctor-patient relationship and the issues of pity, sympathy and empathy. Br J Med Psychol. 1968;41:243-8. [PMID: 5728595] CrossrefMedlineGoogle Scholar21. Strayer J. Affective and cognitive perspectives on empathy.. In: Eisenberg N, Strayer J, eds. Empathy and Its Development. Cambridge, UK: Cambridge Univ Pr; 1987:218-44. Google Scholar22. Brothers LA, Finch DM. Physiological evidence for an excitatory pathway from entorhinal cortex to amygdala in the rat. Brain Res. 1985;359:10-20. [PMID: 4075137] CrossrefMedlineGoogle Scholar23. Grattan LM, Eslinger PJ. Empirical study of empathy [Letter]. Am J Psychiatry. 1989;146:1521-2. [PMID: 2619825] CrossrefMedlineGoogle Scholar24. Katz RL. Empathy: Its Nature and Uses. New York: Free Press; 1963:26. Google Scholar25. Lief HI, Fox RC. Training for "detached concern" in medical students.. In: Lief HI, eds. The Psychological Basis of Medical Practice. New York: Harper & Row; 1963:12-35. Google Scholar26. Halpern J. Empathy: Using resonance emotions in the service of curiosity.. In: Spiro H, McCrea Curnen MG, Peschel E, St James D, eds. Empathy and the Practice of Medicine. New Haven, CT: Yale Univ Pr; 1993:160-73. Google Scholar27. Wispe L. The distinction between sympathy and empathy: to call forth a concept, a word is needed. Journal of Personality and Social Psychology. 1986;50:314-21. CrossrefGoogle Scholar28. Wilmer HA. The doctor-patient relationship and the issues of pity, sympathy and empathy. Br J Med Psychol. 1968;41:243-8. [PMID: 5728595] CrossrefMedlineGoogle Scholar29. Bertakis KD, Roter D, Putnam SM. The relationship of physician medical interview style to patient satisfaction. J Fam Pract. 1991;32:175-81. [PMID: 1990046] MedlineGoogle Scholar30. Roter D, Lipkin M, Korsgaard A. Sex differences in patients' and physicians' communication during primary care medical visits. Med Care. 1991;29:1083-93. [PMID: 1943269] CrossrefMedlineGoogle Scholar31. Levinson W, Roter D. Physicians' psychosocial beliefs correlate with their patient communication skills. J Gen Intern Med. 1995;10:375-9. [PMID: 7472685] CrossrefMedlineGoogle Scholar32. Spiro H. What is empathy and can it be taught? Ann Intern Med. 1992;116:843-6. [PMID: 1482433] LinkGoogle Scholar33. Brock CD, Salinsky JV. Empathy: an essential skill for understanding the physician–patient relationship in clinical practice. Fam Med. 1993;25:245-8. [PMID: 8319851] MedlineGoogle Scholar34. Platt FW, Keller VF. Empathic communication: a teachable and learnable skill. J Gen Intern Med. 1994;9:222-6. [PMID: 8014729] CrossrefMedlineGoogle Scholar35. Platt FW, Platt CM. Empathy: a miracle or nothing at all? Journal of Clinical Outcomes Management. 1998;5:30-3. Google Scholar36. Suchman AL, Markakis K, Beckman HB, Frankel R. A model of empathic communication in the medical interview. JAMA. 1997;277:678-82. [PMID: 9039890] CrossrefMedlineGoogle Scholar37. Charon R. The narrative road to empathy.. In: Spiro H, McCrea Curnen MG, Peschel E, St James D, eds. Empathy and the Practice of Medicine. New Haven, CT: Yale Univ Pr; 1993:147-59. Google Scholar38. Carson RA. Beyond respect to recognition and due regard.. In: Toombs SK, Barnard D, Carson RA, eds. Chronic Illness from Experience to Policy. Bloomington, IN: Indiana Univ Pr; 1995:105-28. Google Scholar39. Hunter KM, Charon R, Coulehan JL. The study of literature in medical education. Acad Med. 1995;70:787-94. [PMID: 7669155] MedlineGoogle Scholar40. Novack DH, Suchman AL, Clark W, Epstein RM, Najberg E, Kaplan C. Calibrating the physician. Personal awareness and effective patient care. Working Group on Promoting Physician Personal Awareness, American Academy on Physician and Patient. JAMA. 1997;278:502-9. [PMID: 9256226] CrossrefMedlineGoogle Scholar41. Coulehan JL. Tenderness and steadiness: emotions in medical practice. Lit Med. 1995;14:222-36. [PMID: 8558910] CrossrefMedlineGoogle Scholar42. Connelly J. Being in the present moment: developing the capacity for mindfulness in medicine. Acad Med. 1999;74:420-4. [PMID: 10219225] CrossrefMedlineGoogle Scholar43. Epstein RM. Mindful practice. JAMA. 1999;282:833-9. [PMID: 10478689] CrossrefMedlineGoogle Scholar44. Miller SZ, Schmidt HJ. The habit of humanism: a framework for making humanistic care a reflexive clinical skill. Acad Med. 1999;74:800-3. [PMID: 10429589] CrossrefMedlineGoogle Scholar45. Barrett-Lennard GT. The phases and focus of empathy. Br J Med Psychol. 1993;66 Pt 1 3-14. [PMID: 8485075] CrossrefMedlineGoogle Scholar46. Gallop R, Lancee WJ, Garfinkel PE. The empathic process and its mediators. A heuristic model. J Nerv Ment Dis. 1990;178:649-54. [PMID: 2230750] CrossrefMedlineGoogle Scholar47. Hall JA, Roter DL, Rand CS. Communication of affect between patient and physician. J Health Soc Behav. 1981;22:18-30. [PMID: 7240703] CrossrefMedlineGoogle Scholar48. Larsen KM, Smith CK. Assessment of nonverbal communication in the patient–physician interview. J Fam Pract. 1981;12:481-8. [PMID: 7462949] MedlineGoogle Scholar49. Suchman AL, Matthews DA. What makes the patient-doctor relationship therapeutic? Exploring the connexional dimension of medical care. Ann Intern Med. 1988;108:125-30. [PMID: 3276262] LinkGoogle Scholar50. Suchman AL. Control and Relation: Two Foundational Values and Their Consequences.. In: Suchman AL, Botelho RJ, Hinton-Walker P, eds. Partnerships in Healthcare: Transforming Relational Process. Rochester, NY: Univ of Rochester Pr; 1998. Google Scholar51. Branch WT, Malik TK. Using "windows of opportunities" in brief interviews to understand patients' concerns. JAMA. 1993;269:1667-8. [PMID: 8455300] CrossrefMedlineGoogle Scholar52. Pinderhughes EB. Teaching empathy: ethnicity, race and power at the cross-cultural treatment interface. American Journal of Social Psychology. 1984;4:5-12. Google Scholar53. Kleinman A, Eisenberg L, Good B. Culture, illness, and care: clinical lessons from anthropologic and cross-cultural research. Ann Intern Med. 1978;88:251-8. [PMID: 626456] LinkGoogle Scholar54. Platt FW, Gaspar DL, Coulehan JL, Fox L, Adler AJ, Weston WW, et al . "Tell me about yourself": the patient-centered interview. Ann Intern Med. 2001;134:1079-85. LinkGoogle Scholar Author, Article, and Disclosure InformationAffiliations: Dr. Coulehan: State University of New York at Stony Brook; Stony Brook, NY 11794-8036Dr. Platt: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Egener: American Academy on Physician and Patient; Portland, OR 97210Dr. Frankel: Highland Hospital; Rochester, NY 14620Dr. Lin: University of Colorado Health Sciences Center; Denver, CO 80222Dr. Lown: Mount Auburn Hospital; Cambridge, MA 02238Dr. Salazar: Medical College of Georgia; Augusta, GA 30902Corresponding Author: John L. Coulehan, MD, Department of Preventive Medicine, HSC L3-086, State University of New York at Stony Brook, Stony Brook, NY 11794-8036; e-mail, [email protected]sunysb.edu. Current Author Addresses: Dr. Coulehan: Department of Preventive Medicine, HSC L3-086, State University of New York at Stony Brook, Stony Brook, NY 11794-8036.Drs. Platt and Lin: University of Colorado Health Sciences Center, 4200 East Ninth Avenue, Denver, CO 80222.Dr. Egener: American Academy on Physician and Patient, Legacy Clinic Northwest, 1130 NW 22nd Avenue, Suite 220, Portland, OR 97210.Dr. Frankel: Highland Hospital, 1000 South Avenue, Rochester, NY 14620.Dr. Lown: Mount Auburn Hospital, 300 Mt. Auburn Street, Cambridge, MA 02238.Dr. Salazar: Medical College of Georgia, 1120 15th Street, HS2010, Augusta, GA 30902. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited ByHow does narrative medicine impact medical trainees' learning of professionalism? 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PhD, M. MD, and and role in education about care in Competencies in Care for and Communication in patients with in the Care of Cancer in of and of Empathic during When Being Not empathy learning for be and for effective the role of care in with and in the of the medicine and outcomes of physician empathy in A structural focus study of and perceptions of the of of Medical Student role of empathy in in the a new and in the a of the An or Do You to to Patients Do Not or with Challenges and a of of the of a for children with Care. A to in care: The role of perceptions in Older in Clinical during Health and H. or Not to Is That the Right empathy and sympathy: responses to troubles on a health care with to make the patient the Communication and With Patients in Your as a of The of Medicine, and How to and A Patient-Centered Communication Illness Using to Communication Care and Social in the office approach to the Words That in to and MD, M. MD, and Frederic Platt, I Student August August August by American College of

Annals of Internal Medicine · 322 citationsread the source →

Cranford JA, Floyd FJ, Schulenberg JE, Zucker RA. (2011)MEDLINE-indexed journal, not yet read by usJournal of abnormal psychology

Husbands' and wives' alcohol use disorders and marital interactions as longitudinal predictors of marital adjustment.

In this longitudinal study, the relationships among wives' and husbands' lifetime alcoholism status, marital behaviors, and marital adjustment were tested. Participants were 105 couples from the Michigan Longitudinal Study (MLS), an ongoing multimethod investigation of substance use in a community-based sample of alcoholics, nonalcoholics, and their families. At baseline (T1), husbands and wives completed a series of diagnostic measures, and lifetime diagnosis of alcohol use disorder (AUD, as defined in the Diagnostic and Statistical Manual of Mental Disorders, 4th ed.), was assessed. Couples completed a problem-solving marital interaction task 3 years later at T2, which was coded for the ratio of positive to negative behaviors. Couples also completed a measure of marital adjustment at T4 (9 years after T1 and 6 years after T2). Results showed that husbands' lifetime AUD predicted lower levels of their wife's positive marital behaviors 3 years later but was not related to their own or their wife's marital adjustment 9 years from baseline. By contrast, wives' lifetime AUD had direct negative associations with their own and their husband's marital satisfaction 9 years later, and wives' marital behaviors during the problem-solving task predicted their own and their husband's marital satisfaction 6 years later. Findings indicate that marital adjustment in alcoholic couples may be driven more by the wives' than the husbands' AUD and marital behavior. Implications for intervention with alcoholic couples were discussed.

Journal of abnormal psychology · 46 citationsread the source →