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BackgroundPast mobile health (mHealth) efforts to empower type 2 diabetes (T2D) self-management include portals, text messaging, collection of biometric data, electronic coaching, email, and collection of lifestyle information. ObjectiveThe primary objective was to enhance patient activation and self-management of T2D using the US Department of Defense’s Mobile Health Care Environment (MHCE) in a patient-centered medical home setting. MethodsA multisite study, including a user-centered design and a controlled trial, was conducted within the US Military Health System. Phase I assessed preferences regarding the enhancement of the enabling technology. Phase II was a single-blinded 12-month feasibility study that randomly assigned 240 patients to either the intervention (n=123, received mHealth technology and behavioral messages tailored to Patient Activation Measure [PAM] level at baseline) or the control group (n=117, received equipment but not messaging. The primary outcome measure was PAM scores. Secondary outcome measures included Summary of Diabetes Self-Care Activities (SDSCA) scores and cardiometabolic outcomes. We used generalized estimating equations to estimate changes in outcomes. ResultsThe final sample consisted of 229 patients. Participants were 61.6% (141/229) male, had a mean age of 62.9 years, mean glycated hemoglobin (HbA1c) of 7.5%, mean BMI of 32.7, and a mean duration of T2D diagnosis of 9.8 years. At month 12, the control group showed significantly greater improvements compared with the intervention group in PAM scores (control mean 7.49, intervention mean 1.77; P=.007), HbA1c (control mean −0.53, intervention mean −0.11; P=.006), and low-density lipoprotein cholesterol (control mean −7.14, intervention mean 4.38; P=.01). Both groups showed significant improvement in SDSCA, BMI, waist size, and diastolic blood pressure; between-group differences were not statistically significant. Except for patients with the highest level of activation (PAM level 4), intervention group patients exhibited significant improvements in PAM scores. For patients with the lowest level of activation (PAM level 1), the intervention group showed significantly greater improvement compared with the control group in HbA1c (control mean −0.09, intervention mean −0.52; P=.04), BMI (control mean 0.58, intervention mean −1.22; P=.01), and high-density lipoprotein cholesterol levels (control mean −4.86, intervention mean 3.56; P

BackgroundThe potential of mHealth technologies in the care of patients with diabetes and other chronic conditions has captured the attention of clinicians and researchers. Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys. Each of these tools, used alone or in combination, have demonstrated varying degrees of effectiveness. Some of the more promising results have been demonstrated using regular collection of biometric devices, SMS text messaging, secure email communication with clinical teams, and regular reporting of quality-of-life variables. In this study, we seek to incorporate several of the most promising mHealth capabilities in a patient-centered medical home (PCMH) workflow.ObjectiveWe aim to address underlying technology needs and gaps related to the use of mHealth technology and the activation of patients living with type 2 diabetes. Stated differently, we enable supporting technologies while seeking to influence patient activation and self-care activities.MethodsThis is a multisite phased study, conducted within the US Military Health System, that includes a user-centered design phase and a PCMH-based feasibility trial. In phase 1, we will assess both patient and provider preferences regarding the enhancement of the enabling technology capabilities for type 2 diabetes chronic care management. Phase 2 research will be a single-blinded 12-month feasibility study that incorporates randomization principles. Phase 2 research will seek to improve patient activation and self-care activities through the use of the Mobile Health Care Environment with tailored behavioral messaging. The primary outcome measure is the Patient Activation Measure scores. Secondary outcome measures are Summary of Diabetes Self-care Activities Measure scores, clinical measures, comorbid conditions, health services resource consumption, and technology system usage statistics.ResultsWe have completed phase 1 data collection. Formal analysis of phase 1 data has not been completed. We have obtained institutional review board approval and began phase 1 research in late fall 2016.ConclusionsThe study hypotheses suggest that patients can, and will, improve their activation in chronic care management. Improved activation should translate into improved diabetes self-care. Expected benefits of this research to the scientific community and health care services include improved understanding of how to leverage mHealth technology to activate patients living with type 2 diabetes in self-management behaviors. The research will shed light on implementation strategies in integrating mHealth into the clinical workflow of the PCMH setting.Trial registrationClinicalTrials.gov NCT02949037. https://clinicaltrials.gov/ct2/show/NCT02949037. (Archived by WebCite at http://www.webcitation.org/6oRyDzqei).

Background: Management of pain is critical to improve the welfare of farmed livestock and meet consumer expectations. There is limited published information about the use of analgesic drugs in the sheep sector. Methods: A mixed‐method approach was followed. The range of analgesic drugs used on 52 Northern Irish sheep farms was determined through analysis of medicine purchase records. Through interview and discussion groups, with both farmer and veterinarian participants, attitudes towards the use and adoption of such medicines were explored. Results: The use of non‐steroidal anti‐inflammatory drugs (NSAIDs) was widespread and highly variable. One‐third of farmers in the sample did not purchase any NSAID. Meloxicam was the most commonly purchased NSAID by mass (72%) and standardised dose (73%). During interviews and discussions, farmers outlined the benefits they saw in using NSAIDs and how veterinarians influenced their uptake of these medicines. Use of corticosteroid was evidenced on 50% of the farms that supplied medicine records for analysis. Conclusions: Veterinarians can influence farmers to adopt NSAIDs for the provision of analgesia in their sheep and farmers observed the benefits they delivered. However, many farmers are still to be reached with this message, perhaps due to being largely self‐sufficient and rarely engaging with veterinarians. Veterinarians have the opportunity to challenge farmers about the provision of analgesia, especially when farmers seek antibiotics for painful conditions such as lameness. Currently, the lack of an authorised product in the UK, with associated treatment guidance and industry promotion, may limit veterinarians' confidence in prescribing drugs for pain control in sheep. [ABSTRACT FROM AUTHOR]

Schizophrenia is the most common psychotic mental disorder, and those affected have two to four times higher mortality than the general population. Genetic and environmental factors increase the risk of developing schizophrenia, and substance use disorder (particularly cannabis) may have the strongest link. Schizophrenia typically develops in young adulthood and is characterized by the presence of positive and negative symptoms. Positive symptoms include hallucinations, delusions, and disorganized speech. Negative symptoms include blunted affect, alogia, avolition, asociality, and anhedonia. Symptoms must be present for at least six months and be severe for at least one month to make a diagnosis. Because schizophrenia is debilitating, it should be treated with antipsychotics, and early treatment decreases long-term disability. Treatment should be individualized, and monitoring for effectiveness and adverse effects is important. Patients with a first episode of psychosis who receive a formal diagnosis of schizophrenia should be treated in a coordinated specialty care program. Second-generation antipsychotics are the preferred first-line treatment because they cause fewer extrapyramidal symptoms. Patients with schizophrenia who are treated with second-generation antipsychotics are at increased risk of cardiovascular disease and should receive at least annual metabolic screening and counseling with interventions to prevent weight gain and encourage smoking cessation. Treatment-resistant schizophrenia should be treated with clozapine. Adjunctive treatments include electroconvulsive therapy, antidepressants, and cognitive behavior therapy for psychosis. Family and social support are keys to improved outcomes. (Am Fam Physician. 2022; 106(4): 388–396. Copyright © 2022 American Academy of Family Physicians.) Schizophrenia is the most common psychotic mental disorder, and those affected have two to four times higher mortality than the general population. Genetic and environmental factors increase the risk of developing schizophrenia, and substance use disorder (particularly cannabis) may have the strongest link. Schizophrenia typically develops in young adulthood and is characterized by the presence of positive and negative symptoms. Positive symptoms include hallucinations, delusions, and disorganized speech. Negative symptoms include blunted affect, alogia, avolition, asociality, and anhedonia. Symptoms must be present for at least six months and be severe for at least one month to make a diagnosis. Because schizophrenia is debilitating, it should be treated with antipsychotics, and early treatment decreases long-term disability. Treatment should be individualized, and monitoring for effectiveness and adverse effects is important. Patients with a first episode of psychosis who receive a formal diagnosis of schizophrenia should be treated in a coordinated specialty care program. Second-generation antipsychotics are the preferred first-line treatment because they cause fewer extrapyramidal symptoms. Patients with schizophrenia who are treated with second-generation antipsychotics are at increased risk of cardiovascular disease and should receive at least annual metabolic screening and counseling with interventions to prevent weight gain and encourage smoking cessation. Treatment-resistant schizophrenia should be treated with clozapine. Adjunctive treatments include electroconvulsive therapy, antidepressants, and cognitive behavior therapy for psychosis. Family and social support are keys to improved outcomes. [ABSTRACT FROM AUTHOR]

Templars and Hospitallers as Professed Religious in the Holy Land. By Jonathan Riley-Smith. The Conway Lectures in Medieval Studies 2008. Notre Dame, Ind.: University of Notre Dame Press, 2010. ix+ [...]