In January 2012, Uganda's Ministry of Health issued a moratorium halting new eHealth projects. Donors and NGOs had piloted up to 80 different mHealth applications in Uganda in 2008, and none of them scaled. Donors paid for the pilots. Nobody paid for national rollout. £150,000to Scale Innovations The 100x Impact Accelerator at the London School of Economics funds the stage after proof.

This is a correction of "Perceptions of Adults Aged 50 Years and Older Regarding the Use of #Wearable #mHealth Technologies to Promote #PhysicalActivity: Systematic Review and Meta-Ethnography."

A long day’s haul in the video game slop mines.

This Battlefield 200 startup has developed blood-purification tech to save children

Background: Gender-affirming voice training (GAVT) has reduced gender incongruence for transgender and gender-nonconforming (TGNC) individuals, but remains limited by cost and scarcity of specialized providers. #Mobile #Health (#mHealth) is a bridge to these access gaps; yet, few high-quality, clinically informed #mHealth apps exist within voice clinical sciences. Objective: We previously created a free #Mobile #App (Attuned; Weill Cornell Medicine and Ithaca College) to deliver clinically informed GAVT through structured instructional videos narrated by a speech-language pathologist and a laryngologist, practice exercises, and pitch-tracking tools, developed with a community advisory board of TGNC individuals. This mixed methods study aimed to assess the #App’s usability and users’ impressions. Methods: Adult TGNC individuals were recruited nationwide via word of mouth and advertising through lesbian, gay, bisexual, transgender, queer, or questioning (LGBTQ+) community organizations. Participants completed a baseline semistructured interview and demographics survey, used Attuned for one week, and completed a second interview regarding their impressions. Interviews were transcribed verbatim and coded inductively in MaxQDA (VERBI Software GmbH). Three authors independently generated codebooks that were reconciled via consensus, then 2 authors applied the finalized codebooks to the remaining transcripts (preconsensus agreement 95.7%; Cohen κ=0.86). Attuned was also evaluated by 2 reviewers experienced in #mHealth evaluation and not involved in the #App development, using the #Mobile #App Rating Scale (MARS), the Intercontinental Medical Statistics (IMS) Institute for #Health Care Informatics Functionality Scores, the Centers for Disease Control (CDC) Modified Clear Communication Index, the Institute of Medicine (IOM) strategies for creating #Health-literate #mHealth apps, the Patient Education Materials Assessment Tool (PEMAT), and the System Usability Scale (SUS). Readability of the didactic scripts was also assessed with 6 validated formulas. Results: Eighteen TGNC individuals completed the study (median age 27.5 years, age range 19‐50 years). Ten identified as women and/or transgender women, 6 as nonbinary or gender-nonconforming, and 2 as men or transgender men. Eight themes were identified. Participants identified voice as a crucial determinant of others’ perceptions of their gender, with voice-related dysphoria common. Cost and difficulty finding providers were primary barriers to GAVT, and existing free resources were viewed as unstructured and untrustworthy. Postuse impressions were largely positive, particularly regarding the structured curriculum, pitch tracker, convenience, and free access, though lack of individualized feedback was a key limitation. Mean scores were 4.21/5 (SD 0.53) for MARS; IMS functionality, 6.5/11 (SD 0.7); CDC index, 82.5% (SD 24.7%); IOM strategies, 28.5/33 (SD 2.1); and PEMAT understandability and actionability 100%, and SUS 92.5/100 (SD 10.6), with most readability formulas at or below an eighth-grade level. Conclusions: Voice is central to gender identity for TGNC individuals; yet, structured and affordable GAVT remains largely inaccessible. Attuned was positively received by this initial cohort and scored highly on usability, #Health literacy, and readability, though findings are limited by potential acquiescence bias and the raters’ authorship roles.

What does this mean for a fall full of movies starring villainous tech CEOs?

Earth AI

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