Awareness about emergency contraception among the general population and paramedical workers studied is practically nonexistent. Precise knowledge about emergency contraception among doctors (both gynecologists and general practitioners) is also inadequate. Prescription practices can improve by generating demand and training of health care providers.

Background Dengue is an emerging threat to public health. At present, no clear modalities are available for the prevention and management of thrombocytopenia due to dengue. This article reports the clinical outcomes of integrative homeopathic care in a hospital setting during a severe outbreak of dengue in New Delhi, India, during the period September to December 2015. Methods Based on preference, 138 patients received a homeopathic medicine along with usual care (H+UC), and 145 patients received usual care (UC) alone. Assessment of thrombocytopenia (platelet count < 100,000/mm3) was the main outcome measure. Kaplan–Meier analysis enabled comparison of the time taken to reach a platelet count of 100,000/mm3. Results There was a statistically significantly greater rise in platelet count on day 1 of follow-up in the H+UC group compared with UC alone (mean difference = 12,337; 95% confidence interval [CI], 5,421 to 19,252; p = 0.001). This trend persisted until day 5 (mean difference = 14,809; 95% CI, 1,615 to 28,004; p = 0.02). The time taken to reach a platelet count of 100,000/mm3 was nearly 2 days earlier in the H+UC group compared with UC alone (H+UC: 3.44 days ± standard error of the mean [SEM] 0.18; 95% CI, 3.08 to 3.80; UC: 5.28 days ± SEM 0.29; 95% CI, 4.71 to 5.86; p < 0.001). Conclusion These results suggest a positive role of adjuvant homeopathy in thrombocytopenia due to dengue. Randomized controlled trials may be conducted to obtain more insight into the comparative effectiveness of this integrative approach.

Background Patient-generated health data (PGHD) have been largely collected through mobile health (mHealth) apps and wearable devices. PGHD can be especially helpful in mental health, as patients’ illness history and symptom narratives are vital to developing diagnoses and treatment plans. However, the extent to which clinicians use mental health–related PGHD is unknown. Objective A mixed methods study was conducted to understand clinicians’ perspectives on PGHD and current mental health apps. This approach uses information gathered from semistructured interviews, workflow analysis, and user-written mental health app reviews to answer the following research questions: (1) What is the current workflow of mental health practice and how are PGHD integrated into this workflow, (2) what are clinicians’ perspectives on PGHD and how do they choose mobile apps for their patients, (3) and what are the features of current mobile apps in terms of interpreting and sharing PGHD? Methods The study consists of semistructured interviews with 12 psychiatrists and clinical psychologists from a large academic hospital. These interviews were thematically and qualitatively analyzed for common themes and workflow elements. User-posted reviews of 56 sleep and mood tracking apps were analyzed to understand app features in comparison with the information gathered from interviews. Results The results showed that PGHD have been part of the workflow, but its integration and use are not optimized. Mental health clinicians supported the use of PGHD but had concerns regarding data reliability and accuracy. They also identified challenges in selecting suitable apps for their patients. From the app review, it was discovered that mHealth apps had limited features to support personalization and collaborative care as well as data interpretation and sharing. Conclusions This study investigates clinicians’ perspectives on PGHD use and explored existing app features using the app review data in the mental health setting. A total of 3 design guidelines were generated: (1) improve data interpretation and sharing mechanisms, (2) consider clinical workflow and electronic health record integration, and (3) support personalized and collaborative care. More research is needed to demonstrate the best practices of PGHD use and to evaluate their effectiveness in improving patient outcomes.

ObjectivesTo measure the association of transplant patients’ personality, depression, and quality of life with medication adherence in kidney and liver transplant recipients.MethodsA cross-sectional study of liver and kidney transplant recipients greater than 1 year post-transplant was conducted. Patients’ adherence with medications was assessed using the Immunosuppressive Therapy Adherence Scale. Personality and depression were assessed using the NEO Five-Factor Inventory Scale and Patient Health Questionnaire 9, respectively. Quality of life was assessed using the Short Form-36, and functional status was determined using the Karnofsky Performance Status Scale.ResultsA total of 86 kidney and 50 liver transplant patients completed the surveys. Logistic regression analysis demonstrated an association between depression and adherence with immunosuppressive medications in kidney transplant recipients. Kidney transplant patients who exhibited “low openness” scores were 91% more likely to be nonadherent. Kidney transplant patients’ physical functional status was strongly associated with nonadherence, and for each point increase in functionality the patients’ adherence increased by 4%. In the liver sample, age was associated with adherence. For every year increase in age, adherence increased by 7%.ConclusionThe presence of low openness as a personality trait, poor physical functional status, and depression were associated with adherence in the kidney transplant population. In the liver transplant population, younger age was associated with nonadherence.

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