✨ New iOS 26 Trick for Better Text Handling

New in iOS 26: you can now select and copy just part of a text message on iPhone. Save time and avoid extra edits. Try it today.

#iOS26 #iPhoneTips #TextMessaging #iOSFeatures #Productivity #TechTips #OneCoolTip

www.onecooltip.com/2026/01/how-...

My #Tutorial on #EPUB design. Details the #CSS styles and #HTML needed to create realistic #TextMessaging within an #EBook that reflows automatically based on reader preferences.
bit.ly/3SqUdTd

Proactively Delivered Digital Mental Health Support for Health Care Workers: #usability and Acceptability Evaluation Background: Health systems are investing in mental health and well-being support tools and resources for health care workers (HCW). Considering the mental health strain facing HCWs, there is a need to optimize the current mental health delivery model. Objective: This study aimed to evaluate the #usability and acceptability of a proactive digital mental health approach (Cobalt+;Penn Medicine), which included services proactively sent to HCWs via #TextMessaging #mhealth, including (1) monthly automated #TextMessaging #mhealth reminders and links to Cobalt, and (2) bimonthly text-message–based measures of depression and anxiety. Methods: This study used the System #usability Scale (SUS), Net Promoter Score (NPS), and open-ended questions to capture Cobalt+ participants who received proactive digital mental health tools and resources. Descriptive summary statistics were used for SUS and NPS outcome measures, and a chi-square test was used to detect group differences. Open-ended questions were analyzed using a qualitative open coding process by 2 coders. Research team members calculated interrater agreement (Cohen κ above 0.80). Results: A total of 162 of 642 HCWs randomized to Cobalt+ (25.2%) visited Cobalt due to a proactive text message and completed #usability and acceptability measures. The mean age was 38.9 years, most were female (90.7%), 56.8% White, 53.1% married or partnered, and 34.6% engaged in shift work. The mean SUS score was 74.43 (median score 72.5). Participants said they mostly “browsed” the online mental health platform. Cobalt+ received an NPS of 13.7. When asked to elaborate on their experience, 2 categories (eg, positive and negative experiences) with 13 subcategories were identified. Most participants noted the brief process that helped prioritize mental health: “Forget otherwise. Puts in forefront of my mind,” and “Your texts do remind me to take stock of my current feelings.” Conclusions: A proactive digital mental health approach may help overcome barriers in the uptake of services that are otherwise passively available to HCWs. This study demonstrated that the proactive approach is generally usable, modestly acceptable, and further supplemented by HCW feedback. These findings suggest the approach’s viability and the need for additional research toward improvement and broader implementation. Clinical Trial: ClinicalTrials.gov NCT05028075; https://clinicaltrials.gov/study/NCT05028075

JMIR Formative Res: Proactively Delivered Digital Mental Health Support for Health Care Workers: #usability and Acceptability Evaluation #MentalHealth #DigitalHealth #HealthcareWorkers #Usability #TextMessaging

Evaluating Causal and Noncausal Text Messages to Promote Physical Activity in Adults: Randomized Pilot Study Background: Physical inactivity increases the risk of chronic disease and reduces life expectancy, yet adherence to physical activity (PA) guidelines remains low. SMS text messages are promising for promoting PA, but it is not clear what type of messaging is most effective. Messages with causal information, which explain why a recommendation is being made, may be more persuasive than messages containing only recommendations. Objective: This study aims to compare the effectiveness of causal versus noncausal SMS text messages for promoting PA in US adults. Methods: In this pilot study, we randomized US adults (n=28 in the analytic sample) aged 18-64 years to receive causal or noncausal SMS text messages roughly every other day for 2 weeks, following a 1-week baseline. PA was measured using Empatica wristbands during intervention and baseline periods, and the International Physical Activity Questionnaire – Short Form (IPAQ-SF) at baseline, postintervention, and 4 weeks later. The primary outcome was the change in mean metabolic equivalent of tasks (METs) per minute from baseline to intervention. The secondary outcomes were (1) PA differences on intervention and nonintervention days (mean METs/min), (2) changes in self-reported METs per week between surveyed periods, and (3) participant satisfaction. We used a linear mixed model to analyze our primary outcome, the Mann-Whitney U test and the chi-square test of independence to analyze quantitative secondary outcomes, and qualitative coding to analyze survey data. Results: The causal message group had a greater increase in mean METs per minute from baseline to intervention compared to the noncausal group with a moderate effect size (P=.01; Cohen d=0.54). In the causal group, PA was significantly higher on SMS text message days (mean 2.46, SD 0.12 METs/min) compared to nonmessage days (mean 2.25, SD 0.15 METs/min; P=.02), while there was no difference in the noncausal group (P=.54). No significant between-group difference was found in self-reported PA or satisfaction. Conclusions: Causal information that links suggested PA to health outcomes can increase the effectiveness of SMS text messages promoting PA, indicating the value of incorporating causal information into intervention design. Our results provide further basis for just-in-time interventions, as activity was higher on message days. Further work is needed to better personalize message content and timing to maintain participant engagement.

JMIR Formative Res: Evaluating Causal and Noncausal Text Messages to Promote Physical Activity in Adults: Randomized Pilot Study #PhysicalActivity #HealthPromotion #TextMessaging #CausalMessaging #ChronicDisease

Effectiveness of Text Messages and Text Messages Plus Peer Support on Psychiatric Readmission and Length of Stay: Outcomes From a Quantitative Stepped-Wedge Cluster Randomized Trial Background: #MentalHealth recovery typically continues after patients leave the hospital. However, hospital readmission in the 12 months after discharge is common and costly. Objective: This study aimed to examine the effectiveness of supportive text messaging (hereinafter “SMS”) and SMS with or without peer support service on hospital readmission and length of stay after discharge from inpatient psychiatric care. Methods: A stepped-wedge cluster randomized trial was used to examine differences in the changes in the mean number of admissions and the mean duration of total length of stay in days, for patients discharged from psychiatric inpatient care, at 6 and 12 months pre- and post index admissions, for 2 intervention periods compared to a control period of treatment as usual. Results: Overall, 1070 participants were assigned to 1 of 3 study arms: SMS (n=302), SMS with or without peer support service (n=342), or treatment as usual (n=426). Compared to treatment as usual, SMS with or without peer support service reduced hospital readmissions 6 months pre- and post index admission by an average of 0.26 admissions, and SMS alone reduced inpatient length of stays 6 months pre- and post index admission by an average of 7.28 days. Conclusions: Our results demonstrate that simple, low-cost #Digital tools—either by themselves or paired with peer support—can help close gaps in postdischarge care. We anticipate that these findings may inform future service delivery models and policy development aimed at enhancing postdischarge #MentalHealth support. By supporting smoother transitions and reducing future hospital use, such #Approaches may offer a scalable way to build more sustainable and person-centered #MentalHealth systems. Trial Registration: ClinicalTrials.gov NCT05133726; https://clinicaltrials.gov/study/NCT05133726

JMIR Mental Health: Effectiveness of Text Messages and Text Messages Plus Peer Support on Psychiatric Readmission and Length of Stay: Outcomes From a Quantitative Stepped-Wedge Cluster Randomized Trial #MentalHealth #Psychiatry #SupportiveCare #TextMessaging #PeerSupport

Proud to be part of the @jonahjmeyerhoff.bsky.social's team making this system a reality!

#ConversationalAgents #SuicidePrevention #TextMessaging #MentalHealth

My #Tutorial on #EPUB design. Details the #CSS styles and #HTML needed to create realistic #TextMessaging within an #EBook that reflows automatically based on reader preferences.
bit.ly/3SqUdTd

Conversations drive business, and text messaging is the best way to start them. 📱💬 #CustomerEngagement #BusinessGrowth #TextMessaging #ConversationsMatter

Previsit Preparation for Shared Decision-Making in Lung #Cancer Screening in Primary Care Using a Paper Decision Aid and an Automated #TextMessaging #mhealth Program: Quasi-Experimental Pilot Study Background: Patient-provider discussions and shared decision-making (SDM) are essential for tailoring lung #Cancer screening (LCS) decisions to individual patients. However, implementation of SDM in primary care settings is challenging. Innovative approaches are needed to reach patients eligible for LCS and help them prepare for LCS discussions in primary care settings and to increase the uptake of LCS. Objective: We piloted pre-visit preparation comparing two strategies: a paper decision aid (DA) (DA group), and an enhanced comparator strategy consisting of the paper DA plus an automated text message program (DA+TM group) designed to promote patient-provider LCS discussions. We explored #feasibility and gathered preliminary data on its potential effects on LCS discussions, decision-making, and LCS uptake in primary care settings. Methods: In a sequential quasi-experimental pilot, we recruited patients who were eligible for LCS in a single academic healthcare system. Prior to an upcoming visit, participants in both groups received a paper-based DA by mail. In the DA+TM group, participants also received a series of automated text messages to help them prepare for their LCS discussions. We monitored participant recruitment and retention, and patient engagement in DA and text messages. In exploratory analyses, we assessed patient-provider discussion of LCS, SDM, patient knowledge, decision conflict at baseline and in follow-up telephone surveys, and LCS completion measured by electronic health records. Results: We enrolled 49 participants (DA group = 19, DA+TM group = 30). Participants were predominantly White, with a median age of 61.0 (IQR, 57.0-65.0), and 58.3% were female. Engagement in both groups was high. LCS knowledge significantly improved in the DA+TM group (4.5 baseline vs. 6.0 follow-up; P=.003), versus no change in the DA group (5.0 baseline vs. 5.0 follow-up, P=.23). Median LCS knowledge change from baseline to follow-up was 0.5 (IQR -1.0-2.5) in the DA group, and 1.5 (IQR 0-3.0) in the DA+TM group (P=.24). Decision conflict in both groups significantly decreased (DA group: 37.5 baseline vs. 0 follow-up, P

JMIR Formative Res: Previsit Preparation for Shared Decision-Making in Lung #Cancer Screening in Primary Care Using a Paper Decision Aid and an Automated #TextMessaging #mhealth Program: Quasi-Experimental… #LungCancer #CancerScreening #SharedDecisionMaking #PatientEngagement #HealthcareInnovation

Google Messages Now Allows Users to Delete Sent Texts For Everyone
softtechhub.us/2025/08/19/g...

#GoogleMessages #TextDeletion #SendText #MessagingApp #UserPrivacy #TextMessaging #TechUpdates #MobileApps #Communication #DigitalMessaging

#TMobile’s #Starlink-powered #satelliteservice, #TSatellite, is now available to all #US residents, not just T-Mobile customers. The service, currently priced at $10 per month, supports #textmessaging and #locationsharing, with plans to add picture and voice messaging.…

Android is finally going to let users edit text messages sent to iPhones With the arrival of Rich Communication Services (RCS) on iPhone last year, the experience of texting from iOS to Android improved dramatically. As Apple says on its website, RCS supports delivery receipts,...

Android is finally going to let users edit text messages sent to iPhones #Technology #ConsumerTechnology #Other #AndroidUpdate #TextMessaging #TechNews

@lyrial @boghan I recognize two factors:
1. Not wanting other passengers on the bus or train to hear your business.
2. Generation X grew up with landlines, which in the USA were unmetered for local calls. Mobile phones, by contrast, required subscribers at both ends to pay per minute and per […]

Stop switching between systems just to send a quick text 🤓

With @opencrm.bsky.social’s SMS feature, you can message your contacts directly from their record...right where you’re already working 💡

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are you good at texting maybe but i don't really like to tellonym @nineveh.aka.nini

🌶️ TEXT MANIAC 💃🏽 #AskNini🎙️https://tellonym.me/nineveh.aka.nini 💌 #sms #text #textmessaging #trans #transwoman #photography #ninistyle

Adolescent Emoji Use in Text-Based Messaging: Focus Group Study Background: Adolescents increasingly use text-based message platforms to communicate with both parents and peers. Users of such platforms often use emojis to communicate nonverbal information about message intentions or tone, but interpretation of emojis can generate confusion. This may exacerbate existing sources of miscommunication between adolescents and parents. Objective: We aimed to better understand how adolescents choose and interpret emojis used in text communication. Methods: We conducted online focus groups with adolescents, in which we asked questions about the use and interpretation of emojis. We then followed a constant comparative coding procedure to identify themes in the discussion. Results: We conducted 5 focus groups with 31 adolescent participants (mean age = 16.5, SD = 1.5). Discussion in the groups generally fell into four themes: (1) rejection of emojis to communicate emotion, (2) emojis as having context-dependent meanings, (3) emojis as meaningless and/or absurd, and (4) emoji use to communicate sincere emotion. Across themes, participants often described important differences between their own emoji use and emoji use by adults. Conclusions: Adolescents described their own emoji use as complex, absurd, and often infused with irony or sarcasm. These differences are an important consideration for parents and other adults who communicate with adolescents through text-based messaging platforms or who observe communication between adolescents on such platforms. We recommend that parents be cautious when interpreting emojis sent by adolescents, particularly when those emojis are sent in the context of adolescent-to-adolescent communication.

JMIR Formative Res: Adolescent Emoji Use in Text-Based Messaging: Focus Group Study #AdolescentCommunication #EmojiUse #TextMessaging #DigitalCommunication #NonverbalCommunication

How to stop your iPhone or iPad from suggesting text effects in Messages Macworld My 20-year-old didn’t like that when they typed “excited” in a text message on their iPhone, iOS automatically seemed to apply a Ripple effect, part of the set of somewhat pointless Text...

How to stop your iPhone or iPad from suggesting text effects in Messages #Technology #SoftwareandApps #MobileApps #iPhoneTips #iOS #TextMessaging