BACKGROUND: SMS texting systems have been considered a potential solution to reduce missed appointments in primary care. Existing research in this area focuses on qualitative studies investigating the attitudes of SMS text users and receivers.
OBJECTIVE: This study aimed to examine appointment data from an independent general practitioner (GP) surgery in Wrexham, United Kingdom, with approximately 15,000 patients, to determine the impact of text messaging systems on reducing missed appointments. The objective of this study was to investigate whether the use of text messages can effectively reduce missed appointments.
METHODS: To collect data for the study, SQL reports were run on EMIS Web, the United Kingdom\'s most widely used clinical system. The data spanned 10 years, from September 1, 2010, to March 31, 2020. Data accuracy was verified by cross-referencing with appointment diary records. Mann-Whitney and Kruskal-Wallis tests, chosen for their suitability in comparing groups in nonparametric settings, were conducted in Microsoft Excel due to its accessibility.
RESULTS: Statistical analyses were conducted to compare data before and after implementation of the text messaging system. The results revealed a significant 42.8% reduction in missed appointments (before: 5848; after: 3343; P<.001). Further analysis of demographic characteristics revealed interesting trends, with no significant difference in missed appointments between genders, and variations observed across different age groups. The median number of missed appointments was not significantly different between genders (women: 1.55, IQR 1.11-2.16; men: 1.61, IQR 1.08-2.12; P=.73). Despite the prevalence of mobile phone use among young adults aged 20-25 years, the highest rates of missed appointments (848/7256, 11.7%) were noted in this group, whereas the lowest rates were noted in the 75-80 years age group (377/7256; 5.2%; P<.001). Analysis by age and gender indicated inconsistencies: women aged 20-25 years (571/4216) and men aged 35-40 years (306/3040) had the highest rates of missed appointments, whereas women aged 70-75 years (177/4216) and men aged 75-80 years (129/3040) had the lowest rates (P<.001 for both).
CONCLUSIONS: This study demonstrates that SMS text messaging in primary care can significantly reduce missed appointments. Implementing technology such as SMS text messaging systems enables patients to cancel appointments on time, leading to improved efficiency in primary care settings.

OBJECTIVE: We designed a computer-based, integrated intelligent reminder system to reduce the deficiencies and errors in ultrasound (US) reports. In this study, we assessed the performance of this system and evaluated its impact on the quality of US reporting.
METHODS: Ultrasound reporting deficiencies or errors were divided into 2 categories: missing items (including outpatient or inpatient number and clinical diagnosis) and content errors (including measurement data, sex-related, and laterality errors). The intelligent reminder system was designed in Visual Basic for Applications (Microsoft Corporation, Redmond, WA) and integrated with the US system. It automatically detects reporting errors before printing of the report and provides real-time prompts for correction of the errors. We compared the US reporting deficiencies and errors during the 20 months before and after implementation of the system.
RESULTS: Before implementation of the system, deficiencies/errors were detected in 2.26% (8841 of 391,230) of US reports compared with 0.12% (530 of 444,215) of reports after implementation of the system (P < .0001). After adoption of the system, the reported item deficiencies were improved more than the content deficiencies, with the most notable improvement in clinical diagnosis. Sex-related errors were reduced from 7 cases to nil after use of the intelligent reminder system. No laterality errors were found before and after the implementation of the system.
CONCLUSIONS: The intelligent reminder system within the US system significantly reduced deficiencies and errors, improving the quality of the report.

Prospective memory difficulties are commonly reported in people with dementia. The evidence supporting the use of prospective memory devices among the dementia population remains limited. MindMate is a recently developed smart device application that aims to support individuals with a diagnosis of dementia, improving self-management skills and quality of life. This study investigated the effectiveness and usability of the reminder tool on the MindMate application as a memory aid. Three participants with a diagnosis of Alzheimer\'s disease were recruited to this multiple baseline single-case experimental design study. Partners of the participants recorded their performance on everyday tasks on weekly monitoring forms during a baseline phase (between five and seven weeks) and during the intervention phase (five weeks) whilst using MindMate. Two participants successfully used the app throughout the intervention weeks and gave positive usability ratings. Tau-U analysis showed a significant increase in memory performance between baseline and intervention phase (Tau-U = 1, 0.94, p < .01). A third participant withdrew from the intervention phase following difficulties turning off the reminders and frustrations with the reminder alert sound. For two of the three participants, use of MindMate was feasible and effective in supporting remembering of everyday tasks compared to practice as usual.

Prospective memory (PM) is the ability to remember to carry out an intention in the future. PM is particularly impaired in Korsakoff syndrome (KS). We investigated the benefit of a smartwatch and smartphone compared to no aid in supporting time accuracy and PM task performance in KS. Time accuracy was improved with a smartwatch compared to the other conditions. Furthermore, the smartwatch and phone conditions were more effective than no aid in assisting memory for task content. Together these results suggest that using an external memory aid is beneficial for successful PM in KS.

Personal assistant agents can have an important role in healthcare as a smart technology to support physicians in their daily work, helping to tackle the increasing complexity of their task environment. In this paper we present and discuss a personal medical assistant agent technology for trauma documentation and management, based on the Belief-Desire-Intention (BDI) architecture. The purpose of the personal assistant agent is twofold: to assist the Trauma Team in doing precision tracking during a trauma resuscitation, so as to (automatically) produce an accurate documentation of the trauma, and to generate alerts at real-time, to be eventually displayed either on smart-glasses or room-display.

In low-resource settings, there are numerous socioeconomic challenges such as poverty, inadequate facilities, shortage of skilled health workers, illiteracy and cultural barriers that contribute to high maternal and newborn deaths. To address these challenges, there are several mHealth projects particularly in Sub-Sahara Africa seeking to exploit opportunities provided by over 90% rate of mobile penetration. However, most of these interventions have failed to justify their value proposition to inspire utilization in low-resource settings.
This study proposes a theoretical model named Technology, Individual, Process-Fit (TIPFit) suitable for user-centred evaluation of intervention designs to predict utilization of mHealth products in low-resource settings. To investigate the predictive power of TIPFit model, we operationalized its latent constructs into variables used to predict utilization of an mHealth prototype called mamacare. The study employed single-group repeated measures quasi-experiment in which a random sample of 79 antenatal and postnatal patients were recruited from a rural hospital. During the study conducted between May and October 2014, the treatment involved sending and receiving SMS alerts on vital signs, appointments, safe delivery, danger signs, nutrition, preventive care and adherence to medication.
Measurements taken during the study were cleaned and coded for analysis using statistical models like Partial Least Squares (PLS), Repeated Measures Analysis of Variance (RM-ANOVA), and Bonferroni tests. After analyzing 73 pretest responses, the model predicted 80.2% fit, and 63.9% likelihood of utilization. However, results obtained from initial post-test taken after three months demonstrated 69.1% fit, and utilization of 50.5%. The variation between prediction and the actual outcome necessitated improvement of mamacare based on feedback obtained from users. Three months later, we conducted the second post-test that recorded further drop in fit from 69.1 to 60.3% but utilization marginally improved from 50.5 to 53.7%.
Despite variations between the pretest and post-test outcomes, the study demonstrates that predictive approach to user-centred design offers greater flexibility in aligning design attributes of an mHealth intervention to fulfill user needs and expectations. These findings provide a unique contribution for decision makers because it is possible to prioritize investments among competing digital health projects.

In England over six million day case surgical procedures are performed each year. Many of these patients have an allergy and are given a red armband to notify staff of this. This audit compared the use of red armbands to indicate allergy at two institutions undertaking day case surgery. The presence of wristbands, the allergies recorded on them and the correlation to allergies documented in the patient notes were analysed.

Citizen participation in health service co-production is increasingly enacted. A reason for engaging community members is to co-design services that are locally-appropriate and harness local assets. To date, much literature examines processes of involving participants, with little consideration of innovative services are designed, how innovations emerge, develop and whether they sustain or diffuse. This paper addresses this gap by examining co-designed initiatives through the lens of social innovation - a conceptualisation more attuned to analysing grassroots innovation than common health services research approaches considering top-down, technical innovations. This paper considers whether social innovation is a useful frame for examining co-designed services.
Eighty-eight volunteer community-based participants from six rural Australian communities were engaged using the same, tested co-design framework for a 12-month design and then 12-month implementation phase, in 24 workshops (2014-16). Mixed, qualitative data were collected and used to formulate five case studies of community co-designed innovations. A social innovation theory, derived from literature, was applied as an analytical frame to examine co-design cases at 3 stages: innovation growth, development and sustainability/diffusion.
Social innovation theory was found relevant in examining and understanding what occurred at each stage of innovation development. Innovations themselves were all adaptations of existing ideas. They emerged due to local participants combining knowledge from local context, own experiences and exemplars. External facilitation brought resources together. The project provided a protective niche in which pilot innovations developed, but they needed support from managers and/or policymakers to be implemented; and to be compatible with existing health system practices. For innovations to move to sustainability/diffusion required political relationships. Challenging existing practice without these was problematical.
Social innovation provides a useful lens to understand the grassroots innovation process implied in community participation in service co-design. It helps to show problems in co-design processes and highlights the need for strong partnerships and advocacy beyond the immediate community for new ideas to thrive. Regional commissioning organisations are intended to diffuse useful, co-designed service innovations. Efforts are required to develop an innovation system to realise the potential of community involvement in co-design.

Reproducible outcomes in clinical trials depend on adherence to study protocol. Short message service (also known as text message) reminders have been shown to improve clinical trial adherence in the United States and elsewhere. However, due to systematic differences in mobile data plans, languages, and technology, these systems are not easily translated to international settings.
To gauge technical capabilities for international projects, we developed SMSMessenger, an automated Android application that uses a US server to send medication reminders to participants in a clinical trial in St. Petersburg, Russia (Zinc for HIV disease among alcohol users-a randomized controlled trial in the Russia Alcohol Research Collaboration on HIV/AIDS cohort). The application is downloaded once onto an Android study phone. When it is time for the text message reminders to be sent, study personnel access the application on a local phone, which in turn accesses the existing clinical trial database hosted on a US web server. The application retrieves a list of participants with the following information: phone number, whether a message should be received at that time, and the appropriate text of the message. The application is capable of storing multiple outgoing messages. With a few clicks, text messages are sent to study participants who can reply directly to the message. Study staff can check the local phone for incoming messages. The SMSMessenger application uses an existing clinical trial database and is able to receive real-time updates. All communications between the application and server are encrypted, and phone numbers are stored in a secure database behind a firewall. No sensitive data are stored on the phone, as outgoing messages are sent through the application and not by messaging features on the phone itself. Messages are sent simultaneously to study participants, which reduces the burden on local study staff. Costs and setup are minimal. The only local requirements are an Android phone and data plan.
The SMSMessenger technology could be modified to be applied anywhere in the world, in any language, script, or alphabet, and for many different purposes. The novel application of this existing low-cost technology can improve the usefulness of text messaging in advancing the goals of international clinical trials.

OBJECTIVE: Older adults treated with warfarin are prone to complications, and high-quality monitoring is essential. The aim of this case history based study was to assess the quality of warfarin monitoring in a routine situation, and in a situation with an antibiotic-warfarin interaction, before and after receiving an electronic alert.
METHODS: In April 2014, a national web-based survey with two case histories was distributed among Norwegian nursing home physicians and general practitioners working part-time in nursing homes. Case A represented a patient on stable warfarin treatment, but with a substantial INR increase within the therapeutic interval. Case B represented a more challenging patient with trimethoprim sulfamethoxazole (TMS) treatment due to pyelonephritis. In both cases, the physicians were asked to state the next warfarin dose and the INR recall interval. In case B, the physicians could change their suggestions after receiving an electronic alert on the TMS-warfarin interaction.
RESULTS: Three hundred and ninety eight physicians in 292 nursing homes responded. Suggested INR recall intervals and warfarin doses varied substantially in both cases. In case A, 61% gave acceptable answers according to published recommendations, while only 9% did so for case B. Regarding the TMS-warfarin interaction in case history B, the electronic alert increased the percentage of respondents correctly suggesting a dose reduction from 29% to 53%. Having an INR instrument in the nursing home was associated with shortened INR recall times.
CONCLUSIONS: Practical advice on handling of warfarin treatment and drug interactions is needed. Electronic alerts as presented in electronic medical records seem insufficient to change practice. Availability of INR instruments may be important regarding recall time.