Objective To review systematically the role of e-mails in patient–provider communication in terms of e-mail content, and perspectives of providers and patients on e-mail communication in health care. Methods A systematic review of studies on e-mail communication between patients and health providers in regular health care published from 2000 to 2008. Results A total of 24 studies were included in the review. Among these studies, 21 studies examined e-mail communication between patients and providers, and three studies examined the e-mail communication between parents of patients in pediatric primary care and pediatricians. In the content analyses of e-mail messages, topics well represented were medical information exchange, medical condition or update, medication information, and subspecialty evaluation. A number of personal and institutional features were associated with the likelihood of e-mail use between patients and providers. While benefits of e-mails in enhancing communication were recognized by both patients and providers, concerns about confidentiality and security were also expressed. Conclusion The e-mail is transforming the relationship between patients and providers. The rigorous exploration of pros and cons of electronic interaction in health care settings will help make e-mail communication a more powerful, mutually beneficial health care provision tool. Practice implications It is important to develop an electronic communication system for the clinical practice that can address a range of concerns. More efforts need to be made to educate patients and providers to appropriately and effectively use e-mail for communication.
PURPOSE We assessed the prevalence of major cardiovascular disease (CVD) risk factors among Chinese, Asian Indian, Filipino, and other Asian populations compared to non-Hispanic Whites in the United States. METHODS We analyzed aggregated data from the National Health Interview Survey (NHIS) from 2003 to 2005. Bivariate analyses were used to determine differences in the prevalence of CVD risk factors among Asian subgroups and white adults. Logistic regression analyses were also conducted to compare each Asian subgroup with white adults after taking sociodemographic variables into account. RESULTS The unadjusted prevalence of physical inactivity was highest among Asian Indians and other Asians. After we controlled for covariates, Asian Indians still had higher odds of physical inactivity than Whites (odds ratio [OR] = 1.50, 95% confidence interval [CI] = 1.22–1.84). All Asian ethnic groups were significantly less likely than Whites to report smoking, obesity, and binge drinking. Compared with Whites, Filipinos were more likely to have hypertension (OR = 1.18, 95% CI = 1.02–1.44) and Asian Indians were more likely to have diabetes (OR = 2.27, 95% CI = 1.63–3.20). CONCLUSION Although Asian race was generally associated with lower risk for CVD, certain risk factors were particularly high among some Asian subgroups. Future interventions should specify the needs of specific subgroups and design culturally specific programs to reduce health risk behaviors in each Asian subpopulation.
ABSTRACT:The United States has made progress in decreasing the black-white gap in civil rights, housing, education, and income since 1960, but health inequalities persist. We examined trends in black-white standardized mortality ratios (SMRs) for each age-sex group from 1960 to 2000. The black-white gap measured by SMR changed very little between 1960 and 2000 and actually worsened for infants and for African American men age thirty-five and older. In contrast, SMR improved in African American women. Using 2002 data, an estimated 83,570 excess deaths each year could be prevented in the United States if this black-white mortality gap could be eliminated.
Background Depression remains a major public health problem that is most often evaluated and treated in primary care settings. The objective of this study was to examine the prevalence, treatment, and control of depressive symptoms in a national data sample using a common primary care screening tool for depression. Methods We analyzed a sample of adults (n = 4836) from 2005 to 2008 National Health and Nutrition Examination Survey data. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9) to determine the overall prevalence, rates of treatment, and antidepressant control of mild, moderate, moderately severe, and severe depressive symptoms. Results Of the sample, 20.1% reported significant depressive symptoms (PHQ-9) score, ≥5), the majority of whom had mild depressive symptoms (PHQ-9) score, 5–9). Even among individuals with severe depressive symptoms, a large percentage (36.9%) received no treatment from a mental health professional or with antidepressant medication. Of those taking antidepressants, 26.4% reported mild depressive symptoms and 18.8% had moderate, moderately severe, or severe depressive symptoms. Conclusions Despite greater awareness and treatment of depression in primary care settings, the prevalence of depressive symptoms remains high, treatment levels remain low, and control of depressive symptoms are suboptimal. Primary care providers need to continue to focus their efforts on diagnosing and effectively treating this important disease.
Objective This study characterized telemedicine utilization among Medicaid enrollees by patients’ demographic characteristics, geographic location, enrollment type, eligibility category, and clinical conditions. Methods This study used 2008–2009 Medicaid claims data from 28 states and the District of Columbia to characterize telemedicine claims (indicated by GT for professional fee claims or Q3014 for facility fees) on the basis of patients’ demographic characteristics, geographic location, enrollment type, eligibility category, and clinical condition as indicated by ICD-9 codes. States lacking Medicaid telemedicine reimbursement policies were excluded. Chi-square tests were used to compare telemedicine utilization rates and one-way analysis of variance was used to estimate mean differences in number of telemedicine encounters among subgroups. Results A total of 45,233,602 Medicaid enrollees from the 22 states with telemedicine reimbursement policies were included in the study, and .1% were telemedicine users. Individuals ages 45 to 64 (16.4%), whites (11.3%), males (8.5%), rural residents (26.0%), those with managed care plans (7.9%), and those categorized as aged, blind, and disabled (28.1%) were more likely to receive telemedicine (p<.001). Nearly 95% of telemedicine claims were associated with a behavioral health diagnosis, of which over 50% were for bipolar disorder and attention-deficit disorder or attention-deficit hyperactivity disorder (29.3% and 23.4%, respectively). State-level variation was high, ranging from .0 to 59.91 claims per 10,000 enrollees (Arkansas and Arizona, respectively). Conclusions Despite the touted potential for telemedicine to improve health care access, actual utilization of telemedicine in Medicaid programs was low. It was predominantly used to treat behavioral health diagnoses. Reimbursement alone is insufficient to support broad utilization for Medicaid enrollees.
For the past 20 years, the percentage of the American population consisting of nonwhite minorities has been steadily increasing. By 2050, these nonwhite minorities, taken together, are expected to become the majority. Meanwhile, despite almost 50 years of efforts to increase the representation of minorities in the healthcare professions, such representation remains grossly deficient. Among the underrepresented minorities are African and Hispanic Americans; Native Americans, Alaskans, and Pacific Islanders (including Hawaiians); and certain Asians (including Hmong, Vietnamese, and Cambodians). The underrepresentation of underrepresented minorities in the healthcare professions has a profoundly negative effect on public health, including serious racial and ethnic health disparities. These can be reduced only by increased recruitment and development of both underrepresented minority medical students and underrepresented minority medical school administrators and faculty. Underrepresented minority faculty development is deterred by barriers resulting from years of systematic segregation, discrimination, tradition, culture, and elitism in academic medicine. If these barriers can be overcome, the rewards will be great: improvements in public health, an expansion of the contemporary medical research agenda, and improvements in the teaching of both underrepresented minority and non-underrepresented minority students.
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