Mobile phone messaging reminders for attendance at healthcare appointments

Understanding the causes of missingness in primary care: a realist review

BACKGROUND

Although missed appointments in healthcare have been an area of concern for policy, practice and research, the primary focus has been on reducing single 'situational' missed appointments to the benefit of services. Little attention has been paid to the causes and consequences of more 'enduring' multiple missed appointments in primary care and the role this has in producing health inequalities.

METHODS

We conducted a realist review of the literature on multiple missed appointments to identify the causes of 'missingness.' We searched multiple databases, carried out iterative citation-tracking on key papers on the topic of missed appointments and identified papers through searches of grey literature. We synthesised evidence from 197 papers, drawing on the theoretical frameworks of candidacy and fundamental causation.

RESULTS

Missingness is caused by an overlapping set of complex factors, including patients not identifying a need for an appointment or feeling it is 'for them'; appointments as sites of poor communication, power imbalance and relational threat; patients being exposed to competing demands, priorities and urgencies; issues of travel and mobility; and an absence of choice or flexibility in when, where and with whom appointments take place.

CONCLUSIONS

Interventions to address missingness at policy and practice levels should be theoretically informed, tailored to patients experiencing missingness and their identified needs and barriers; be cognisant of causal domains at multiple levels and address as many as practical; and be designed to increase safety for those seeking care.

Decision analysis framework for predicting no-shows to appointments using machine learning algorithms

BACKGROUND

No-show to medical appointments has significant adverse effects on healthcare systems and their clients. Using machine learning to predict no-shows allows managers to implement strategies such as overbooking and reminders targeting patients most likely to miss appointments, optimizing the use of resources.

METHODS

In this study, we proposed a detailed analytical framework for predicting no-shows while addressing imbalanced datasets. The framework includes a novel use of z-fold cross-validation performed twice during the modeling process to improve model robustness and generalization. We also introduce Symbolic Regression (SR) as a classification algorithm and Instance Hardness Threshold (IHT) as a resampling technique and compared their performance with that of other classification algorithms, such as K-Nearest Neighbors (KNN) and Support Vector Machine (SVM), and resampling techniques, such as Random under Sampling (RUS), Synthetic Minority Oversampling Technique (SMOTE) and NearMiss-1. We validated the framework using two attendance datasets from Brazilian hospitals with no-show rates of 6.65% and 19.03%.

RESULTS

From the academic perspective, our study is the first to propose using SR and IHT to predict the no-show of patients. Our findings indicate that SR and IHT presented superior performances compared to other techniques, particularly IHT, which excelled when combined with all classification algorithms and led to low variability in performance metrics results. Our results also outperformed sensitivity outcomes reported in the literature, with values above 0.94 for both datasets.

CONCLUSION

This is the first study to use SR and IHT methods to predict patient no-shows and the first to propose performing z-fold cross-validation twice. Our study highlights the importance of avoiding relying on few validation runs for imbalanced datasets as it may lead to biased results and inadequate analysis of the generalization and stability of the models obtained during the training stage.

Factors associated with nonattendance at annual diabetes check-up in Ningbo, China: a case-control study

Background

Type 2 diabetes mellitus (T2DM) is a grave issue in China. The annual check-up is recommended in clinical guidelines on T2DM. It plays an important role in monitoring and managing the condition and detecting and managing any comorbidities and T2DM-related complications. However, people with T2DM may miss the annual check-up, and the benefits of this check-up are lost. Therefore, this study aimed to determine the factors associated with nonattendance at the annual T2DM check-up in Ningbo, China.

Methods

A case-control study was conducted using the Ningbo National Metabolic Management Center dataset. Cases were people with T2DM who were alive but did not attend the first annual check-up, scheduled between 1 March 2019 and 28 February 2022 (n = 1,549). Controls were people with T2DM who were alive and attended the first annual check-up during the same period (n = 1,354). The characteristics of cases and controls were compared using logistic regressions.

Results

The odds of being a female [odds ratio (OR) 1.26, 95% confidence interval (CI) 1.06-1.50], alcohol drinker (1.26, 1.06-1.49), and with glycated hemoglobin A1c (HbA1c) ≥7% (1.67, 1.42-1.97) were higher among case patients than controls. The odds of being a high school graduate (0.77, 0.66-0.89) and on standard treatments in addition to lifestyle modification (oral hypoglycemic drug 0.63, 0.42-0.96; oral hypoglycemic drug and injection therapy 0.48, 0.32-0.73) were lower among case patients than controls.

Conclusion

The factors associated with nonattendance at the annual T2DM check-up in Ningbo, China were female sex, not a high school graduate, alcohol drinker, HbA1c ≥7%, and only on lifestyle modification. The study findings should be used for improving attendance at the annual check-up among people with T2DM in Ningbo.

Increasing the reach of evidence-based interventions for weight management and diabetes prevention among Medicaid patients: study protocol for a pilot Sequential Multiple Assignment Randomised Trial

INTRODUCTION

Over 40% of US adults meet criteria for obesity, a major risk factor for chronic disease. Obesity disproportionately impacts populations that have been historically marginalised (eg, low socioeconomic status, rural, some racial/ethnic minority groups). Evidence-based interventions (EBIs) for weight management exist but reach less than 3% of eligible individuals. The aims of this pilot randomised controlled trial are to evaluate feasibility and acceptability of dissemination strategies designed to increase reach of EBIs for weight management.

METHODS AND ANALYSIS

This study is a two-phase, Sequential Multiple Assignment Randomized Trial, conducted with 200 Medicaid patients. In phase 1, patients will be individually randomised to single text message (TM1) or multiple text messages (TM+). Phase 2 is based on treatment response. Patients who enrol in the EBI within 12 weeks of exposure to phase 1 (ie, responders) receive no further interventions. Patients in TM1 who do not enrol in the EBI within 12 weeks of exposure (ie, TM1 non-responders) will be randomised to either TM1-Continued (ie, no further TM) or TM1 & MAPS (ie, no further TM, up to 2 Motivation And Problem Solving (MAPS) navigation calls) over the next 12 weeks. Patients in TM+ who do not enrol in the EBI (ie, TM+ non-responders) will be randomised to either TM+Continued (ie, monthly text messages) or TM+ & MAPS (ie, monthly text messages, plus up to 2 MAPS calls) over the next 12 weeks. Descriptive statistics will be used to characterise feasibility (eg, proportion of patients eligible, contacted and enrolled in the trial) and acceptability (eg, participant opt-out, participant engagement with dissemination strategies, EBI reach (ie, the proportion of participants who enrol in EBI), adherence, effectiveness).

ETHICS AND DISSEMINATION

Study protocol was approved by the University of Utah Institutional Review Board (#00139694). Results will be disseminated through study partners and peer-reviewed publications.

TRIAL REGISTRATION NUMBER

clinicaltrials.gov; NCT05666323.

SMS text intervention for uncontrolled hypertension among hypertensive homeless adults in shelter clinics of New York City: protocol for a pragmatic randomised trial study

INTRODUCTION

Uncontrolled hypertension (HTN) is prevalent in persons experiencing homelessness (PEH) and contributes to significant suffering and financial cost. Mobile health approaches such as short messaging service (SMS) texting have led to better control of HTN in the general population. Despite the high utilisation of mobile phones by PEH, SMS texting to support HTN control has not been evaluated among this population. We hypothesise that an SMS testing programme will enhance health communication, information management, outreach and care coordination, and provide behavioural support to address some barriers to HTN management in PEH.

METHODS AND ANALYSIS

This study will use a mixed-methods study design to address two objectives: First, it will evaluate, in a randomised controlled trial, the efficacy of a 6-month SMS texting strategy vs an attention control on blood pressure reduction and adherence to medications and clinical appointments in 120 adults PEH with uncontrolled HTN. Outcomes will be measured at 0, 2, 4 and 6 months. Second, it will assess patients' and providers' acceptability and experience of SMS texting using semistructured interviews with PEH (n=30) and providers (n=10). The study will be conducted in shelter clinics in New York City in collaboration with community organisations. The primary statistical analysis will be on an intention-to-treat basis. The trial results will be reported as comparative summary statistics (difference in response rate or means) with 95% CIs and in accordance with the Consolidated Standards of Reporting Trials (CONSORT). Interviews will be transcribed, coded and analysed using an inductive grounded theory analysis.

ETHICS AND DISSEMINATION

This study has been approved by the Institutional Review Board (IRB) at George Washington University. Written consent will be obtained from participants. The findings will be disseminated in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT05187013.

Community participation for reproductive, maternal, newborn and child health: insights from the design and implementation of the BornFyne-prenatal management system digital platform in Cameroon

Introduction

Across communities in low-middle income countries, digital health is currently revolutionizing the delivery of health services, particularly in the field of reproductive, maternal, newborn, and child health (RMNCH) services. While studies have shown the effectiveness of mHealth in delivering RMNCH services, there is little information about factors that enhance mHealth services utilization in low-cost settings including stakeholders' level of influence on the implementation of digital health intervention in sub-Saharan Africa. This paper seeks to describe important lessons on the levels of stakeholders' direct or indirect influence on the design and implementation of the BornFyne-PNMS digital health platform to support RMNCH services.

Methods

A participatory research (PR) design approach was employed to explore stakeholders' perspectives of a new initiative, through direct engagement of local priorities and perspectives. The process of introducing the digital application called the BornFyne-PNMS for district health delivery system and the community, and integrating it within the district health delivery system was guided by research-to-action, consistent with the PR approach. To explore stakeholders' perspectives through a PR approach, we conducted a series of stakeholder meetings fashioned after focus group discussions.

Results

Issues around male involvement in the program, sensitization and equity concerns arose. Emergent challenges and proposed strategies for implementation from diverse stakeholders evidently enriched the design and implementation process of the project intervention. Stakeholder meetings informed the addition of variables on the mobile application that were otherwise initially omitted, which will further enhance the RMNCH electronic data collection for health information systems strengthening in Cameroon.

Discussion

This study charts a direction that is critical in digital health delivery of RMNCH in a rural and low-income community and describes the important iterative stakeholder input throughout the study. The strategy of stakeholders' involvement in the BornFyne PNMS implementation charts a direction for ownership and sustainability in the strengthening of Cameroon's health information system.

Chatbot-assisted therapy for patients with methamphetamine use disorder: a preliminary randomized controlled trial

Background

Methamphetamine (MA) use disorder is associated with a large public health burden. Despite the therapeutic effects of psychosocial interventions based on current evidence, finding an approach to retain patients in treatment remains a real-world challenge. The rapid development of mobile health (mHealth) systems suggests the potential to provide real-time personalized care at any time and from any location, minimize barriers to treatment, maximize use, and promote the dissemination of accessible therapeutic tools in at-risk populations. Our study aimed to investigate the feasibility and effectiveness of chatbots for the treatment of MA use disorder.

Method

The inclusion criteria were (a) a diagnosis of MA use disorder as defined by the DSM-5, (b) age between 18 and 65 years, (c) no acute exacerbation of severe mental illness during the initial assessment, such as schizophrenia or bipolar I disorder, (d) willingness to participate in standard outpatient treatment for ≥ 6 months, and (e) an Android phone. Participants were randomly allocated to either a chatbot-assisted therapy via smartphone (CAT) group or a control group following simple randomization procedures (computerized random numbers) without blinding. All participants were followed up for 6 months. Treatment retention and monthly urine test results were analyzed as outcome measures. Participants' satisfaction with CAT was also assessed.

Results

In total, 50 and 49 participants were allocated to the CAT and control groups, respectively. There were no significant differences in retention time between the two treatment groups (df = 1, p = 0.099). The CAT group had fewer MA-positive urine samples than the control group (19.5% vs. 29.6%, F = 9.116, p = 0.003). The proportion of MA-positive urine samples was positively correlated with the frequency of MA use (r = 0.323, p = 0.001), severity of MA use disorder (r = 0.364, p < 0.001), and polysubstance use (r = 0.212, p = 0.035), and negatively correlated with readiness to change (r = -0.330, p = 0.001). Totally 55 participants completed the study at the 6-month follow-up and 60% reported relative satisfaction.

Conclusion

Participants in this study had favorable acceptance and generally positive outcomes, which indicates that chatbot is feasible for treating people who use MA.

Evaluating the Role of System-Generated Communications in Health Care Organizations

This Viewpoint discusses measures to improve the role of system-generated communications in health care organizations

Assessment of Patient Education Delivered at Time of Hospital Discharge

Importance

Patient education at time of hospital discharge is critical for smooth transitions of care; however, empirical data regarding discharge communication are limited.

Objective

To describe whether key communication domains (medication changes, follow-up appointments, disease self-management, red flags, question solicitation, and teach-back) were addressed at the bedside on the day of hospital discharge, by whom, and for how long.

Design, Setting, and Participants

This quality improvement study was conducted from September 2018 through October 2019 at inpatient medicine floors in 2 urban, tertiary-care teaching hospitals and purposefully sampled patients designated as "discharge before noon." Data analysis was performed from September 2018 to May 2020.

Exposures

A trained bedside observer documented all content and duration of staff communication with a single enrolled patient from 7 am until discharge.

Main Outcomes and Measures

Presence of the key communication domains, role of team members, and amount of time spent at the bedside.

Results

Discharge days for 33 patients were observed. Patients had a mean (SD) age of 63 (18) years; 14 (42%) identified as White, 15 (45%) were female, and 6 (18%) had a preferred language of Spanish. Thirty patients were discharged with at least 1 medication change. Of these patients, 8 (27%) received no verbal instruction on the change, while 16 of 30 (53%) were informed but not told the purpose of the changes. About half of the patients (15 of 31, 48%) were not told the reason for follow-up appointments, and 18 of 33 (55%) were not given instructions on posthospital disease self-management. Most patients (27 of 33, 81%) did not receive guidance on red-flag signs. While over half of the patients (19 of 33, 58%) were asked if they had any questions, only 1 patient was asked to teach back his understanding of the discharge plan. Median (IQR) total time spent with patients on the day of discharge by interns, senior residents, attending physicians, and nurses was 4.0 (0.75-6.0), 1.0 (0-2.0), 3.0 (0.5-7.0), and 22.5 (15.5-30.0) minutes, respectively. Most of the time was spent discussing logistics rather than discharge education.

Conclusions and Relevance

In this quality improvement study, patients infrequently received discharge education in key communication domains, potentially leaving gaps in patient knowledge. Interventions to improve the hospital discharge process should address the content, method of delivery, and transparency among team members regarding patient education.

Improving Adherence to Treatment Plans in Diabetes Patients With Neuropathic Foot Wounds

Background: In southeast states, diabetes continues to rise. Medical expenses are higher for -individuals diagnosed with diabetes-related complications, and poor outcomes are associated with missed appointments for wound treatment. Objective: The aim of this clinical practice contribution was to implement interventions to increase adherence to appointments and treatment plans in an outpatient wound clinic. Methods: Project participants over 18 years of age who were at risk for or have neuropathic foot wounds and are on weekly treatment regimens were recruited. Clinic staff were surveyed on the perceived success of and willingness to continue the interventions. Results: All staff surveyed agreed or strongly agreed that an automated reminder system and incentive program would make a significant impact on the patient's quality of life and worth the time and effort for staff to continue implementation. No patients in the control group required admission to acute care for treatment. Conclusions: Going forward with implications for future practice, these interventions demonstrated both the importance of adherence to outpatient appointments and opportunities to promote patient engagement. Implications for Nursing: Improving attendance at outpatient clinic appointments is significant for the delivery of quality patient care. By managing chronic conditions in the outpatient setting, complications can be reduced.

Predicting no-show appointments in a pediatric hospital in Chile using machine learning

The Chilean public health system serves 74% of the country's population, and 19% of medical appointments are missed on average because of no-shows. The national goal is 15%, which coincides with the average no-show rate reported in the private healthcare system. Our case study, Doctor Luis Calvo Mackenna Hospital, is a public high-complexity pediatric hospital and teaching center in Santiago, Chile. Historically, it has had high no-show rates, up to 29% in certain medical specialties. Using machine learning algorithms to predict no-shows of pediatric patients in terms of demographic, social, and historical variables. To propose and evaluate metrics to assess these models, accounting for the cost-effective impact of possible intervention strategies to reduce no-shows. We analyze the relationship between a no-show and demographic, social, and historical variables, between 2015 and 2018, through the following traditional machine learning algorithms: Random Forest, Logistic Regression, Support Vector Machines, AdaBoost and algorithms to alleviate the problem of class imbalance, such as RUS Boost, Balanced Random Forest, Balanced Bagging and Easy Ensemble. These class imbalances arise from the relatively low number of no-shows to the total number of appointments. Instead of the default thresholds used by each method, we computed alternative ones via the minimization of a weighted average of type I and II errors based on cost-effectiveness criteria. 20.4% of the 395,963 appointments considered presented no-shows, with ophthalmology showing the highest rate among specialties at 29.1%. Patients in the most deprived socioeconomic group according to their insurance type and commune of residence and those in their second infancy had the highest no-show rate. The history of non-attendance is strongly related to future no-shows. An 8-week experimental design measured a decrease in no-shows of 10.3 percentage points when using our reminder strategy compared to a control group. Among the variables analyzed, those related to patients' historical behavior, the reservation delay from the creation of the appointment, and variables that can be associated with the most disadvantaged socioeconomic group, are the most relevant to predict a no-show. Moreover, the introduction of new cost-effective metrics significantly impacts the validity of our prediction models. Using a prototype to call patients with the highest risk of no-shows resulted in a noticeable decrease in the overall no-show rate.

Use of Short Message Service (SMS) in a Chronic Kidney Disease Screening Programme: A Feasibility Study

Background

Community screening for chronic kidney disease has often been based on single measurements of markers of kidney damage worldwide. The evaluation of kidney dysfunction and related risk factors may be facilitated by the deployment of telehealth services such as short message service.

Methodology

Cross-sectional study for screening participants for CKD and risk factors during a world kidney event at two communities in Calabar, Cross River State. Short message service (SMS) was used to remind and invite participants to attend a kidney clinic to recheck their kidney functions and subsequently adjust initial point prevalence estimates based on this outcome. Chronic Kidney disease was defined as eGFR less than 60ml/min/1.73m2 and/or proteinuria.

Results

A total of 230 consenting participants were screened with an overall mean age of 36.43 ±11.69 years. 145 (62.7%) were either obese or overweight, while 25 (10.9%), 10 (4.3%) and 1 (0.4%) had a history of hypertension, diabetes, and CKD, respectively. Various degrees of proteinuria were found in 50 (21.74%) participants. Eleven participants had low eGFR <60mL/min. The point prevalence of CKD at the first screening was 24.3% (95%CI 18.9 - 30.4). Of those with either proteinuria or low eGFR, only 12(24%) and 5(45.4%) respectively represented themselves for recheck following the text messages. The adjusted point prevalence was 20.1%.

Conclusion

There is a low level of response to recall for rescreening for urinary and blood markers of kidney disease using mobile phone short message service in our population. The determinants and drivers of response will need to be studied.

Understanding barriers of receiving short message service appointment reminders across African regions: a systematic review

OBJECTIVE

Patients frequently miss their medical appointments. Therefore, short message service (SMS) has been used as a strategy for medical and healthcare service appointment reminders. This systematic review aimed to identify barriers to SMS appointment reminders across African regions.

METHODS

PubMed, Google Scholar, Semantic Scholar and Web of Science were used for searching, and hand searching was done. Original studies written in English, conducted in Africa, and published since 1 December 2018, were included. The standard quality assessment checklist was used for the quality appraisal of the included studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart diagram was used for study selection and screening, and any disagreements were resolved via discussions.

RESULTS

A total of 955 articles were searched, 521 studies were removed due to duplication and 105 studies were assessed for eligibility. Consequently, nine studies met the inclusion criteria. Five out of nine included studies were done by randomised control trials. The barriers that hampered patients, mothers and other parental figures of children when they were notified via SMS of medical and health services were identified. Among the 11 identified barriers, illiteracy, issues of confidentiality, familiarised text messages, inadequate information communication technology infrastructure, being a rural resident and loss of mobile phones occurred in at least two studies.

CONCLUSIONS

SMS is an effective and widely accepted appointment reminder tool. However, it is hampered by numerous barriers. Hence, we gathered summarised information about users' barriers to SMS-based appointment reminders. Therefore, stakeholders should address existing identified barriers for better Mhealth interventions.

PROSPERO REGISTRATION NUMBER

CRD42022296559.

Overcrowding analysis in emergency department through indexes: a single center study

Introduction

Overcrowding in the Emergency Department (ED) is one of the major issues that must be addressed in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in order to help the patients and professionals engaged, hospital organizations must implement remedial and preventative measures. Overcrowding has a number of consequences, including inadequate treatment and longer hospital stays; as a result, mortality and the average duration of stay in critical care units both rise. In the literature, a number of indicators have been used to measure ED congestion. EDWIN, NEDOCS and READI scales are considered the most efficient ones, each of which is based on different parameters regarding the patient management in the ED.

Methods

In this work, EDWIN Index and NEDOCS Index have been calculated every hour for a month period from February 9th to March 9th, 2020 and for a month period from March 10th to April 9th, 2020. The choice of the period is related to the date of the establishment of the lockdown in Italy due to the spread of Coronavirus; in fact on 9 March 2020 the Italian government issued the first decree regarding the urgent provisions in relation to the COVID-19 emergency. Besides, the Pearson correlation coefficient has been used to evaluate how much the EDWIN and NEDOCS indexes are linearly dependent.

Results

EDWIN index follows a trend consistent with the situation of the first lockdown period in Italy, defined by extreme limitations imposed by Covid-19 pandemic. The 8:00–20:00 time frame was the most congested, with peak values between 8:00 and 12:00. on the contrary, in NEDOCS index doesn’t show a trend similar to the EDWIN one, resulting less reliable. The Pearson correlation coefficient between the two scales is 0,317.

Conclusion

In this study, the EDWIN Index and the NEDOCS Index were compared and correlated in order to assess their efficacy, applying them to the case study of the Emergency Department of “San Giovanni di Dio e Ruggi d’Aragona” University Hospital during the Covid-19 pandemic. The EDWIN scale turned out to be the most realistic model in relation to the actual crowding of the ED subject of our study. Besides, the two scales didn’t show a significant correlation value.

Office-based Plastic Surgery-Evidence-based Clinical and Administrative Guidelines

Outpatient procedures are extremely prevalent in plastic surgery, with an estimated 82% of cosmetic plastic surgery occurring in this setting. Given that patient safety is paramount, this practical review summarizes major contemporary, evidence-based recommendations regarding office-based plastic surgery. These recommendations not only outline clinical aspects of patient safety guidelines, but administrative, as well, which in combination will provide the reader/practice with a structure and culture that is conducive to the commitment to patient safety. Proper protocols to address potential issues and emergencies that can arise in office-based surgery, and staff familiarity with thereof, are also necessary to be best prepared for such situations.

Can ResilienceNHope, an evidence-based text and email messaging innovative suite of programs help to close the psychological treatment and mental health literacy gaps in college students?

There is a high prevalence of stress, anxiety, depression, and substance use disorders in college students globally. Financial stressors, course workload, peer pressure, and other personal, family, and societal stressors contribute to the high incidence of mental disorders among college students. Despite the high prevalence of mental disorders in college students, barriers such as lack of mental health literacy, stigma of mental health, inadequate numbers of mental health counselors and clinical psychologists supporting students in colleges in both low- and high-income countries, and financial and geographical barriers often hinder college students from accessing the needed mental supports. There is increasing evidence on the effectiveness and feasibility of mobile technology in health promotion and closing psychological treatment gaps. College students are well adapted to the use of mobile technology, particularly text and email messaging daily, which presents a unique opportunity for an innovative way to offer support for their mental health. In this article, we provide a perspective on the ResilienceNHope program, an evidence-based text and email messaging innovation, to close the psychological treatment gap and improve the mental health literacy of college students.

SMS reminders to improve outpatient attendance for public dental services: A retrospective study

Patients who miss scheduled appointments reduce clinical productivity and delay access to care for other patients. Reminders have improved attendance for healthcare appointments previously, but it is not known if short message service (SMS) implementation reduces incidence of patients unable to attend (UTA) or who fail to attend (FTA) appointments in the public dental service. This paper studied the effectiveness of SMS reminders in increasing appointment attendance at outpatient public dental services in Queensland. Data were sourced from the adult service and the children and adolescent oral health service (CAOHS) at West Moreton Hospital and Health Service, a public dental service in Queensland. A total of 63,238 appointments pre-implementation of SMS reminders and 55,028 appointments post-implementation over a period of 2 years were analysed for rates of attendance, UTA and FTA. Characteristics of UTA and FTA appointments were analysed to identify factors that hindered improvement after implementation of reminders. For the CAOHS, the attendance rate decreased 4% (95% CI: 2%, 6%) following SMS implementation. The UTA rate also increased by 20% (95% CI: 15%, 25%). Following SMS implementation in the adult service, the attendance rate increased from 73.5 (95% CI: 72.6, 74.4) to 77.7 (95% CI: 76.6-78.8) per 100 appointments. The FTA rate post-implementation was 1.08 (95% CI: 1.00, 1.16) times that from pre-intervention, and the UTA rate decreased from 21.7 (95% CI: 21.2, 22.2) to 17.1 (95% CI: 16.6, 17.7) per 100 appointments. The SMS reminders had a mixed effect on the attendance, UTA and FTA rates for the CAOHS and adult services. Reminders reduced the rates of UTA for the CAOHS service and increased the rate of attendance for the adult service. There was an increase in the FTA rate for both services.

Motivation of Adult Patients with Orthodontic Treatment in Maintaining Oral Hygiene

Background: In the last decades, adult patients require orthodontic treatment as a therapeutic method in an increasing percentage. This treatment has a lot of benefits, but unfortunately it also presents a number of complications and risks, among which favoring the accumulation of bacterial plaque is the most concerning.

Aim of the study: In this study we aimed to evaluate the effectiveness of using the dark-field microscope as a method of motivating adult patients with orthodontic treatment in maintaining a proper oral hygiene.

Material and methods: Thirty-six patients were selected based on the inclusion and exclusion criteria. At time T0, patients were divided into two groups: Group 1–microscope and Group 2 – control, in such a way that the groups were as homogeneous as possible. Dental plaque samples were collected and analyzed under a dark field microscope in the presence of the patient for subjects from Group 1 but not Group 2. All patients were then instructed on oral hygiene techniques. The following periodontal indices were recorded of each patient: plaque index (PI), index of bleeding on probing (BOP), probing depth (PD) – at T0 and T1 (after one month).

Results: Comparing the PI and BOP values before (T0) and after treatment (T1), statistically significant results were detected (PI: p = 0.0020, BOP: p = 0.0297), which denotes that patients who observed the bacterial load of their dental plaque in real time using the dark-field microscope had a better oral hygiene and lower values of periodontal health indices. Regarding the PD index, the difference between time T0 and T1 was not statistically significant (p = 1.4762).

Conclusions: During the orthodontic treatment, adult patients often present gingival inflammation caused by improper hygiene. The use of the dark-field microscope is effective in motivating patients regarding the rules of maintenance of a proper oral hygiene.

Protocol for an automated, pragmatic, embedded, adaptive randomised controlled trial: behavioural economics-informed mobile phone-based reminder messages to improve clinic attendance in a Botswanan school-based vision screening programme

BACKGROUND

Clinic non-attendance rates are high across the African continent. Emerging evidence suggests that phone-based reminder messages could make a small but important contribution to reducing non-attendance. We will use behavioural economics principles to develop an SMS and voice reminder message to improve attendance rates in a school-based eye screening programme in Botswana.

METHODS

We will test a new theory-informed SMS and voice reminder message in a national school-based eye screening programme in Botswana. The control will be the standard SMS message used to remind parents/guardians to bring their child for ophthalmic assessment. All messages will be sent twice. The primary outcome is attendance for ophthalmic assessment. We will use an automated adaptive approach, starting with a 1:1 allocation ratio.

DISCUSSION

As far as we are aware, only one other study has used behavioural economics to inform the development of reminder messages to be deployed in an African healthcare setting. Our study will use an adaptive trial design, embedded in a national screening programme. Our approach can be used to trial other forms of reminder message in the future.

TRIAL REGISTRATION

ISRCTN 96528723 . Registered on 5 January 2022.

Information and Communication Technologies in Lung Transplantation: Perception of Patients and Medical Teams

Optimal therapeutic management is a major determinant of patient prognosis and healthcare costs. Information and communication technologies (ICTs) represent an opportunity to enhance therapeutic management in complex chronic diseases, such as lung transplantation (LT). The objective of this study was to assess the preferences of LT patients and healthcare professionals regarding ICTs in LT therapeutic management. A cross-sectional opinion survey was conducted among lung transplant patients and healthcare professionals from the French lung transplantation centers. Five ICTs were defined (SMS, email, phone, internet, and smartphone application) in addition to face-to-face communication. An unsupervised approach by Principal Component Analysis (PCA) identified lung transplant patient profiles according to their preferences for ICTs. Fifty-three lung transplant patients and 15 healthcare professionals of the French LT centers were included. Both expected ICTs for treatment management and communication. Phone call, face-to-face, and emails were the most preferred communication tools for treatment changes and initiation. PCA identified four ICTs-related profiles (“no ICT”, “email”, “SMS”, and “oral communication”). “Email” and “oral communication” profiles are mainly concerned with treatment changes and transmission of new prescriptions. The “SMS” profile expected reminders for healthcare appointments and optimizing therapeutic management. This study provides practical guidance to enhance LT therapeutic management by ICT intervention. The type of ICT used should take into account patient profiles to improve adherence and thereby the prognosis. A combination of strategies including information, education by a multidisciplinary team, and reminders is a promising approach to ensure an optimal management of our patients.

Reducing non-attendance in outpatient appointments: predictive model development, validation, and clinical assessment

Background

Non-attendance to scheduled hospital outpatient appointments may compromise healthcare resource planning, which ultimately reduces the quality of healthcare provision by delaying assessments and increasing waiting lists. We developed a model for predicting non-attendance and assessed the effectiveness of an intervention for reducing non-attendance based on the model.

Methods

The study was conducted in three stages: (1) model development, (2) prospective validation of the model with new data, and (3) a clinical assessment with a pilot study that included the model as a stratification tool to select the patients in the intervention. Candidate models were built using retrospective data from appointments scheduled between January 1, 2015, and November 30, 2018, in the dermatology and pneumology outpatient services of the Hospital Municipal de Badalona (Spain). The predictive capacity of the selected model was then validated prospectively with appointments scheduled between January 7 and February 8, 2019. The effectiveness of selective phone call reminders to patients at high risk of non-attendance according to the model was assessed on all consecutive patients with at least one appointment scheduled between February 25 and April 19, 2019. We finally conducted a pilot study in which all patients identified by the model as high risk of non-attendance were randomly assigned to either a control (no intervention) or intervention group, the last receiving phone call reminders one week before the appointment.

Results

Decision trees were selected for model development. Models were trained and selected using 33,329 appointments in the dermatology service and 21,050 in the pneumology service. Specificity, sensitivity, and accuracy for the prediction of non-attendance were 79.90%, 67.09%, and 73.49% for dermatology, and 71.38%, 57.84%, and 64.61% for pneumology outpatient services. The prospective validation showed a specificity of 78.34% (95%CI 71.07, 84.51) and balanced accuracy of 70.45% for dermatology; and 69.83% (95%CI 60.61, 78.00) for pneumology, respectively. The effectiveness of the intervention was assessed on 1,311 individuals identified as high risk of non-attendance according to the selected model. Overall, the intervention resulted in a significant reduction in the non-attendance rate to both the dermatology and pneumology services, with a decrease of 50.61% (p<0.001) and 39.33% (p=0.048), respectively.

Conclusions

The risk of non-attendance can be adequately estimated using patient information stored in medical records. The patient stratification according to the non-attendance risk allows prioritizing interventions, such as phone call reminders, to effectively reduce non-attendance rates.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07865-y.

Pragmatic Randomized Study of Targeted Text Message Reminders to Reduce Missed Clinic Visits

INTRODUCTION

Missed clinic appointments ("no-shows") waste health system resources, decrease physician availability, and may worsen patient outcomes. Appointment reminders reduce no-shows, though evidence on the optimal number of reminders is limited and sending multiple reminders for every visit is costly. Risk prediction models can be used to target reminders for visits that are likely to be missed.

METHODS

We conducted a randomized quality improvement project at Kaiser Permanente Washington among patients with primary care and mental health visits with a high no-show risk comparing the effect of one text message reminder (sent 2 business days prior to the appointment) with 2 text message reminders (sent 2 and 3 days prior) on no-shows and same-day cancellations. We estimated the relative risk (RR) of an additional reminder using G-computation with logistic regression adjusted for no-show risk.

RESULTS

Between February 27, 2019 and September 23, 2019, a total of 125,076 primary care visits and 33,593 mental health visits were randomized to either 1 or 2 text message reminders. For primary care visits, an additional text message reduced the chance of no-show by 7% (RR = 0.93, 95% CI: 0.89-0.96) and same-day cancellations by 6% (RR = 0.94, 95% CI: 0.90-0.98). In mental health visits, an additional text message reduced the chance of no-show by 11% (RR = 0.89, 95% CI: 0.86-0.93) but did not impact same-day cancellations (RR = 1.02, 95% CI: 0.96-1.11). We did not find effect modification among subgroups defined by visit or patient characteristics.

CONCLUSION

Study findings indicate that using a prediction model to target reminders may reduce no-shows and spend health care resources more efficiently.

Six-month outcomes of the HOPE smartphone application designed to support treatment with medications for opioid use disorder and piloted during an early statewide COVID-19 lockdown

Background

Morbidity and mortality related to opioid use disorder (OUD) in the U.S. is at an all-time high. Innovative approaches are needed to address gaps in retention in treatment with medications for opioid use disorder (MOUD). Mobile health (mHealth) approaches have shown improvement in engagement in care and associated clinical outcomes for a variety of chronic diseases, but mHealth tools designed specifically to support patients treated with MOUD are limited.

Methods

Following user-centered development and testing phases, a multi-feature smartphone application called HOPE (Heal. Overcome. Persist. Endure) was piloted in a small cohort of patients receiving MOUD and at high risk of disengagement in care at an office-based opioid treatment (OBOT) clinic in Central Virginia. Outcomes were tracked over a six-month period following patient enrollment. They included retention in care at the OBOT clinic, usage of various features of the application, and self-rated measures of mental health, substance use, treatment and recovery.

Results

Of the 25 participants in the HOPE pilot study, a majority were retained in care at 6 months (56%). Uptake of bi-directional features including messaging with providers and daily check-ins of mood, stress and medication adherence peaked at one month, and usage persisted through the sixth month. Patients who reported that distance to clinic was a problem at baseline had higher loss to follow up compared to those without distance as a reported barrier (67% vs 23%, p = 0.03). Patients lost to in-person clinic follow up continued to engage with one or more app features, indicating that mHealth approaches may bridge barriers to clinic visit attendance. Participants surveyed at baseline and 6 months (N = 16) scored higher on scales related to overall self-control and self-efficacy related to drug abstinence.

Conclusions

A pilot study of a novel multi-feature smartphone application to support OUD treatment showed acceptable retention in care and patient usage at 6 months. Further study within a larger population is needed to characterize ‘real world’ uptake and association with outcomes related to retention in care, relapse prevention, and opioid-associated mortality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13722-022-00296-4.

Text Messaging Intervention for Mental Wellness in American Indian and Alaska Native Teens and Young Adults (BRAVE Study): Analysis of User Engagement Patterns

Background

Many American Indian and Alaska Native (AI/AN or Native) communities express concern about high rates of suicide and poor mental health. Technology-based health interventions that nurture resilience, coping skills, connectedness, and help-seeking skills may be an effective strategy for promoting health and wellbeing among AI/AN youth. The Northwest Portland Area Indian Health Board designed the BRAVE intervention for AI/AN youth. BRAVE is delivered via SMS text messaging and includes role model videos, mental wellness strategies, links to culturally relevant resources, and social support from family and friends.

Objective

The aim of this study is to explore system data from the BRAVE intervention to determine patterns of user engagement and differences in psychosocial outcomes based on the number of clicks on BRAVE content.

Methods

The BRAVE study included 1030 AI/AN teens and young adults nationwide (15 to 24 years old). The message series in the BRAVE and STEM study arms included 3 to 5 SMS text messages per week, featuring 1 role model video and 1 image per week. Messages were sent out via Mobile Commons (Upland Software Inc), a mobile messaging provider that supports text, picture, and video SMS.

Results

Of the 509 participants in the original BRAVE analysis, 270 had sufficient data to analyze user engagement, with at least 1 trackable click on a study SMS text message. Of the 270, 184 (68.1%) were female, 50 (18.5%) were male, and 36 (13.3%) selected another gender category. The average participant was 20.6 years old, with a minimum and maximum age of 15 and 26 years. Most participants had relatively low engagement measured by the number of clicks (median 2; mean 3.4), although others clicked message content as many as 49 times. Users engaged most frequently with the YouTube-based content (viewing 1 of 7 role model videos), with 64.8% (175/270) of total clicks coming from the role model videos, and earlier episodes receiving the highest number of clicks. Most baseline psychosocial measures were not significantly associated with the number of links clicked. However, help-seeking behavior was highly significant (P<.001), with a rate ratio of 0.82 (0.73, 0.92), indicating that each 1-unit increase in help-seeking score at baseline was associated with an 18% decrease in the expected number of study content clicks.

Conclusions

This is the first study to set initial standards for assessing user engagement in an mHealth intervention. Our work underscores the feasibility of exploring the impact of engagement on intended outcomes, allowing for more precise exploration of the dose-response relationship that may be realized through these low-touch interventions that offer promising potential for reaching high numbers of program participants.

Trial Registration

ClinicalTrials.gov NCT04979481; https://clinicaltrials.gov/ct2/show/NCT04979481

The Effect of Text Message-based Support Program (TextRehab) on Treatment Outcomes of Patients with Hand Flexor Tendon Injuries after Repair: A Randomized Controlled Trial Study Protocol

BACKGROUND

Post-operative rehabilitation for patients with flexor tendon injuries is necessary for a full recovery. This randomized controlled trial study investigates the effectiveness of a text message-based rehabilitation program (i.e., TextRehab) on the improvement rate of hand rehabilitation in patients with flexor tendon injuries after repair.

METHODS

This study is designed as a randomized, three-month, single-center, two-arm, parallel controlled trial. A total of 40 patients will be randomly classified as either the control or intervention group. Both groups receive usual care; however, the intervention group is also asked to perform the designed rehabilitation activities through the TextRehab program. The activity instructions are sent to patients step by step at least once a day. Self-reported outcomes will be assessed at 6 and 12 weeks after discharge and include self-reported Patient Rated Wrist Evaluation, self-reported Quick-Disability of Arm, Shoulder, and Hand, and Visual Analogue Scale. Moreover, the reports of the physician regarding the grip strength and Total Active Motion will be assessed at week 12.

RESULTS

The development of the message scheduling system and its contents is completed. This trial has the code of ethics in research (removed due to blinding issues). Study results are expected to be available in mid-2021.

CONCLUSION

The TextRehab program is developed to provide advice, motivation, information, and care for patients with hand flexor tendon injuries after repair. This trial provides evidence of the effectiveness of sending text messages on persuading patients to perform home-based rehabilitation activities.

Investigating the reasons for missing an outpatient appointment in Royal Hospital, Sultanate of Oman: Perspectives of patients and medical staff in a survey

Introduction

Missed appointments are a major health issue in the healthcare systems globally. They directly impact on the use of hospital resources, patient's health, and can lead to patient's dissatisfaction. This study was conducted to assess the reasons for missing a hospital appointment.

Methods

A survey was conducted with a randomly selected sample of patients who missed their outpatient appointment in Royal hospital, Sultanate of Oman, from March to April 2021 in six clinics. Patients were interviewed via telephone to answer a structured survey. In addition, a self‐administered survey was distributed to medical staff to explore their perspectives.

Results

Two hundred eighty patients and 52 medical staff participated in the study. Frequent patient‐reported reasons for missed appointment were transportation difficulties (11.4%), no longer needing (7.5%), or forgetting the appointment (6.8%); staff‐reported reasons were transportation (23.8%), no SMS received (16.9%), and forgetting the appointment (15.4%). Frequencies of reasons varied substantially between clinics. Family obligations were the main theme in obstetrics (odds ratio [OR] 9.48; 95% confidence interval [CI] 2.66‐33.78) and in diabetes clinic (OR 10.55; 95% CI 2.68‐38.58), where transportation issue was the main theme in Oncology clinic (OR 4.83; 95% CI 1.11‐21.02). The recommendations for improvement were mainly around improving the reminder system, the use of telephone reminders, and developing a flexible appointment scheduling system.

Conclusion

Knowing the reasons for missed appointment from patients and health professionals can help to develop effective interventions. The heterogeneity between clinics in reasons for missed appointment indicates for interventions tailored to clinic and frequent reasons.

Patients' Expectations and Experiences With a Mental Health-Focused Supportive Text Messaging Program: Mixed Methods Evaluation

BACKGROUND

Web-based services are an economical and easily scalable means of support that uses existing technology. Text4Support is a supportive, complementary text messaging service that supports people with different mental health conditions after they are discharged from inpatient psychiatric care.

OBJECTIVE

In this study, we aim to assess user satisfaction with the Text4Support service to gain a better understanding of subscribers' experiences.

METHODS

This was a mixed methods study using secondary data from a pilot observational controlled trial. The trial included 181 patients discharged from acute psychiatric care and distributed into 4 randomized groups. Out of the 4 study groups in the initial study, 2 groups who received supportive text messages (89/181, 49.2% of patients), either alone or alongside a peer support worker, were included. Thematic and descriptive analyses were also performed. Differences in feedback based on sex at birth and primary diagnosis were determined using univariate analysis. The study was registered with ClinicalTrials.gov (trial registration number: NCT03404882).

RESULTS

Out of 89 participants, 36 (40%) completed the follow-up survey. The principal findings were that Text4Support was well perceived with a high satisfaction rate either regarding the feedback of the messages or their perceived impact. Meanwhile, there was no statistically significant difference between satisfactory items based on the subscriber's sex at birth or primary diagnosis. The patients' initial expectations were either neutral or positive in relation to the expected nature or the impact of the text messages received on their mental well-being. In addition, the subscribers were satisfied with the frequency of the messages, which were received once daily for 6 consecutive months. The participants recommended more personalized messages or mutual interaction with health care personnel.

CONCLUSIONS

Text4Support was generally well perceived by patients after hospital discharge, regardless of their sex at birth or mental health diagnosis. Further personalization and interactive platforms were recommended by participants that may need to be considered when designing similar future services.

Text Messages in the Field of Mental Health: Rapid Review of the Reviews

BACKGROUND

While mental health problems constitute a worldwide concern contributing to the global rates of morbidity and mortality, conventional mental healthcare services do not meet the current needs. Text messages (TM) represent a live model that incorporates technology into health services, spanning a large number of health conditions and playing different roles that may support the current healthcare system.

OBJECTIVE

To examine the TM services in the field of mental health, regarding their effectiveness, feasibility, acceptability, and economic evaluation in different contexts of mental health diagnoses and during critical times, when provided to individuals with mental health symptoms/disorders.

METHODS

This rapid review was conducted through an online search in PubMed, Embase, PsycINFO, and Medline databases. The review targeted the review studies which examined online or mobile addiction and mental health services, utilizing TM services. The search was run from the inception up to September 30, 2021.

RESULTS

Sixty review articles met the inclusion criteria and were included in this review. All reviews were published over the last decade. The results showed that people of a young age were fairly represented, and most reviews were run over substance use disorders (SUD), including Alcohol. Most reviews examined the effectiveness outcomes of the texting service, while to a lesser extent the acceptability and feasibility, among others. Texting services were reported as effective in psychotic disorders and SUD. However, the results related to depression and anxiety were mixed. Most reviews reported a considerably high risk of bias among their included studies. High satisfaction and acceptability of the texting services were reported for patients with various mental health conditions, including those with severe mental illness.

CONCLUSIONS

This rapid review highlighted the applications, usability, benefits, and satisfaction with the TM in the field of mental health. For a higher quality of evidence, future studies should consider TM interventions in the contexts with mixed results or a dearth of literature, and during critical times, such as the COVID-19 pandemic. Policy- and decision-makers, therefore, need to further support text-based services with guided investments in interventions that were evidenced to be accepted, economic and feasible.

The success of behavioral economics in improving patient retention within an intensive primary care practice

Background

A minority of the U.S. population comprises a majority of health care expenses. Health system interventions for high-cost populations aim to improve patient outcomes while reducing costly over-utilization. Missed and inconsistent appointments are associated with poor patient outcomes and increased health care utilization. PEAK Health— Mount Sinai’s intensive primary care clinic for high-cost patients— employed a novel behavioral economics-based intervention to reduce the rate of missed appointments at the practice. Behavioral economics has accomplished numerous successes across the health care field; the effect of a clinic-based behavioral economics intervention on reducing missed appointments has yet to be assessed.

Methods

This was a single-arm, pre-post trial conducted over 1 year involving all active patients at PEAK Health. The intervention consisted of: a) clinic signage, and b) appointment reminder cards containing behavioral economics messaging designed to increase the likelihood patients would complete their subsequent visit; appointment cards (t1) were transitioned to an identical EMR template (t2) at 6 months to boost provider utilization. The primary objective, the success of scheduled appointments, was assessed with visit adherence: the proportion of successful over all scheduled appointments, excluding those cancelled or rescheduled. The secondary objective, the consistency of appointments, was assessed with a 2-month visit constancy rate: the percentage of patients with at least one successful visit every 2 months for 1 year. Both metrics were assessed via a χ² analysis and together define patient retention.

Results

The visit adherence rate increased from 74.7% at baseline to 76.5% (p = .22) during t1 and 78.0% (p = .03) during t2. The 2-month visit constancy rate increased from 59.5% at baseline to 74.3% (p = .01) post-intervention.

Conclusions

A low-resource, clinic-based behavioral economics intervention was capable of improving patient retention within a traditionally high-cost population. A renewed focus on patient retention— employing the metrics described here— could bolster chronic care efforts and significantly improve the outcomes of high-cost programs by reducing the deleterious effects of missed and inconsistent appointments.

Enhancing acute flaccid paralysis surveillance through the use of pictorial surveillance reminder cards during supplementary immunization activities, December 2014: a survey in Jigawa State, Nigeria

INTRODUCTION

Acute flaccid paralysis (AFP) pictorial surveillance reminder cards (AFP cards) could aid AFP case identification during supplementary immunization activities (SIAs). We assessed the availability and utilization of AFP cards among vaccination teams during the December 2014 polio SIAs in Jigawa State, Nigeria.

METHODS

We conducted a cross-sectional survey of a convenience sample of 95 vaccination team supervisors. We used a semi-structured interviewer-administered questionnaire to collect information on socio-demographics, knowledge of AFP cases, availability and utilization of the AFP cards for case identification and investigation and non-compliance resolution by vaccination teams. Univariate and bivariate analyses were performed using Epi Info version 3.5.1.

RESULTS

Of the 95 supervisors interviewed, 86 (91%) reported that vaccinators properly displayed the AFP cards, 90 (95%) reported use of cards for AFP case identification, 88 (93%) reported use of cards to resolve non-compliance with polio vaccination and 77 (81%) reported use of cards to ask caregivers six key questions to prevent missed children. Fifty-eight (61%) supervisors knew the AFP case definition. A total of 21 possible AFP cases were identified by vaccination team members with the aid of the cards, of which 17 (81%) were referred to the nearest health facility.

CONCLUSION

The survey demonstrated usefulness of reminder cards for identification and follow-up of AFP cases. Based on these findings, use of AFP cards was implemented in all Nigerian States and similar cards were developed and implemented for measles surveillance during SIAs.

Efficacy of an mHealth Intervention (BRAVE) to Promote Mental Wellness for American Indian and Alaska Native Teenagers and Young Adults: Randomized Controlled Trial

BACKGROUND

Culturally relevant interventions are needed to help American Indian and Alaska Native (AI/AN) teenagers and young adults navigate common risky situations involving family and friends, including drug and alcohol misuse, dating violence, and suicidality. Leveraging We R Native, a multimedia health resource for Native teenagers and young adults, staff of the Northwest Portland Area Indian Health Board designed the BRAVE intervention for Native youth. The program is delivered via SMS text messaging and includes role model videos, mental wellness strategies, links to culturally relevant resources, and social support from family and friends.

OBJECTIVE

We aim to conduct a randomized controlled trial of the BRAVE intervention among AI/AN teenagers and young adults (aged 15-24 years) to assess its impact on their physical, mental, and spiritual health; their resilience and self-esteem; and their coping and help-seeking skills.

METHODS

From October to December 2019, we recruited 2334 AI/AN teenagers and young adults nationwide via social media channels and SMS text messages and enrolled 1044 participants. AI/AN teenagers and young adults enrolled in the study received either BRAVE SMS text messages, designed to improve mental health, help-seeking skills, and cultural resilience, or 8 weeks of science, technology, engineering, and math (STEM) SMS text messages, designed to elevate and reaffirm Native voices in STEM and medicine and then received the BRAVE SMS text messages. The impacts of the BRAVE intervention were tested using linear mixed-effect models and linear regressions.

RESULTS

A total of 833 AI/AN teenagers and young adults were included in the analysis. Individuals in the BRAVE and STEM arms showed significant positive trends over the course of the study for all outcomes, except cultural identity and help-seeking behavior. Mean scores were significantly different for health (P<.001), resilience (P<.001), negative coping (P=.03), positive coping (P<.001), self-efficacy (P=.02), and self-esteem (P<.001). Changes in help-seeking self-efficacy were significant in those exhibiting risky behaviors at baseline to exit (P=.01). Those who reported positive coping scores at baseline also reported better health on average; however, no difference was found in risky drug and alcohol use (P<.001). The number of participants who used SMS text messages to help themselves increased from 69.1% (427/618) at 3 months to 76% (381/501; P<.001) at 8 months. Similarly, the number of participants who used SMS text messages to help friends or family members increased from 22.4% (138/616) at 3 months to 54.6% (272/498) at 8 months.

CONCLUSIONS

This is the first national randomized controlled trial of a mobile health intervention among AI/AN teenagers and young adults to test the efficacy of a mental wellness intervention in relation to STEM career messages. This study provides new insights for supporting the next generation of AI/AN changemakers.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04979481; https://clinicaltrials.gov/ct2/show/NCT04979481.

Insurance- and medical provider-related barriers and facilitators to staying on PrEP: results from a qualitative study

Pre-exposure prophylaxis (PrEP) is a highly effective biobehavioral strategy for preventing HIV acquisition. Although PrEP uptake has increased steadily, discontinuation rates are high among members of key populations like gay and bisexual men (GBM). Understanding the challenges that arise for PrEP users is key to better PrEP implementation and sustained use over time. We report on barriers that arose for PrEP-using GBM, as well as facilitating factors that aided PrEP persistence, with the goal of informing PrEP implementation efforts. In 2015-2016, 103 PrEP-using GBM in NYC completed qualitative interviews about their engagement with PrEP, including their experiences navigating PrEP-related medical care. Interviews were transcribed verbatim, coded, and analyzed thematically. Over half of participants (53%) received their PrEP-related care from their primary care provider (PCP), one-third (33%) from a community-based health clinic, and 13% from multiple medical providers. Emergent themes regarding the barriers and facilitators to PrEP persistence fell into two categories: insurance- and medical appointment-related barriers and facilitators to continued PrEP use. The experiences of PrEP-using GBM can provide useful insights for providers, program developers, and policymakers aiming to improve the implementation of PrEP. To support PrEP persistence, reliable insurance coverage, cost-assistance, and easy appointment scheduling are key to maintenance. Removing insurance- and appointment-related barriers to persistence may prove essential for sustaining use among GBM.

Managing risk in the face of adversity: design and outcomes of rapid glaucoma assessment clinics during a pandemic recovery

Background

The provision of timely care to the high volume of glaucoma patients stratified as “low risk” following pandemic-related appointment deferrals continues to prove challenging for glaucoma specialists. It is unknown whether stratification as “low risk” remains valid over time, raising the potential risk of harm during this period if left unmonitored. This study aimed to evaluate whether Rapid Glaucoma Assessment Clinics (RGACs) are an effective method of assessing “low-risk” patients in order to identify those who may need an escalation of care, therefore reducing the risk of the future incidents of preventable vision loss.

Methods

RGACs were developed which comprised a brief advance telephone history by a clinician and then ophthalmic technician-measured visual acuity and intraocular pressure in clinic. We report outcomes from the first month of operation describing attendance patterns, the proportion of patients from this “low risk” cohort requiring escalation and underlying reasons for treatment escalations.

Results

639 patients were invited to attend RGACs. 75% attended their booked appointment. Pre-attendance telephone consultations were associated with lower non-attendance rates (13.9% vs 29.3%, p < 0.00001). 15% of patients were no longer deemed to remain at “low risk” with further expedited clinical review scheduled. 10.4% of patients required an escalation in treatment following review.

Conclusions

RGACs are an effective approach to deliver high throughput clinical assessments for large numbers of “low-risk” glaucoma patients with deferred appointments. They enable the rapid identification and treatment of patients who would otherwise face significantly delayed review reducing the risk of future preventable vision loss.

Short message service (SMS) reminders for childhood immunisation in low-income and middle-income countries: a systematic review and meta-analysis

Introduction

Childhood vaccine delivery services in the low- and middle-income countries (LMIC) are struggling to reach every child with lifesaving vaccines. Short message service (SMS) reminders have demonstrated positive impact on a number of attrition-prone healthcare delivery services. We aimed to evaluate the effectiveness of SMS reminders in improving immunisation coverage and timeliness in LMICs.

Methods

PubMed, Embase, Scopus, Cochrane CENTRAL, CINAHL, CNKI, PsycINFO and Web of Science including grey literatures and Google Scholar were systematically searched for randomised controlled trials (RCTs) and non-RCTs that evaluated the effect of SMS reminders on childhood immunisation and timeliness in LMICs. Risk of bias was assessed using the Cochrane Risk of Bias 2.0 assessment tool for RCTs and Cochrane Risk of Bias in Non-randomised Studies of Interventions tool for non-RCTs. Meta-analysis was conducted using random-effects models to generate pooled estimates of risk ratio (RR).

Results

18 studies, 13 RCTs and 5 non-RCTs involving 32 712 infants (17 135 in intervention groups and 15 577 in control groups) from 11 LMICs met inclusion criteria. Pooled estimates showed that SMS reminders significantly improved childhood immunisation coverage (RR=1.16; 95% CI: 1.10 to 1.21; I²=90.4%). Meta-analysis of 12 included studies involving 25 257 infants showed that SMS reminders significantly improved timely receipt of childhood vaccines (RR=1.21; 95% CI: 1.12 to 1.30; I²=87.3%). Subgroup analysis showed that SMS reminders are significantly more effective in raising childhood immunisation coverage in lower middle-income and low-income countries than in upper middle-income countries (p<0.001) and sending more than two SMS reminders significantly improves timely receipt of childhood vaccines than one or two SMS reminders (p=0.040).

Conclusion

Current evidence from LMICs, although with significant heterogeneity, suggests that SMS reminders can contribute to achieving high and timely childhood immunisation coverage.

PROSPERO registration number

CRD42021225843.

Does spaced education improve clinical knowledge among Family Medicine residents? A cluster randomized controlled trial

Spaced education is a learning strategy to improve knowledge acquisition and retention. To date, no robust evidence exists to support the utility of spaced education in the Family Medicine residency. We aimed to test whether alerts to encourage spaced education can improve clinical knowledge as measured by scores on the Canadian Family Medicine certification examination.

METHOD

We conducted a cluster randomized controlled trial to empirically and pragmatically test spaced education using two versions of the Family Medicine Study Guide mobile app. 12 residency training programs in Canada agreed to participate. At six intervention sites, we consented 335 of the 654 (51%) eligible residents. Residents in the intervention group were sent alerts through the app to encourage the answering of questions linked to clinical cases. At six control sites, 299 of 586 (51%) residents consented. Residents in the control group received the same app but with no alerts. Incidence rates of case completion between trial arms were compared using repeated measures analysis. We linked residents in both trial arms to their knowledge scores on the certification examination of the College of Family Physicians of Canada.

RESULTS

Over 67 weeks, there was no statistically significant difference in the completion of clinical cases by participants. The difference in mean exam scores and the associated confidence interval did not exceed the pre-defined limit of 4 percentage points.

CONCLUSION

Further research is recommended before deploying spaced educational interventions in the Family Medicine residency to improve knowledge.

The Development and Usability Assessment of an mHealth Application to Encourage Self-Care in Pregnant Women against COVID-19

The coronavirus disease 2019 (COVID-19) pandemic has caused serious concerns in pregnant women. Self-care mHealth applications can provide helpful guidelines for COVID-19 prevention or management in case of infection. This study aimed to develop and then assess a self-care smartphone-based application to provide self-care for pregnant women against COVID-19. The present study was conducted in two phases. First, a needs assessment was performed based on the opinions of 30 obstetricians and pregnant women. Then, relying on the results, a smartphone-based application was prototyped and assessed in terms of its usability and user satisfaction. To assess the application, 36 pregnant women (11 infected with COVID-19) were asked to use the application for a week. The QUIS questionnaire 5.5 was used for assessment, and the results were analyzed via descriptive statistics in SPSS 23. According to the obstetricians and pregnant women, of the 41 information requirements, 35 data elements were noted to be essential in the needs assessment. Features of the application were placed in four categories of User's Profile, Lifestyle, Disease Management and Control, and Application Functions (e.g., introducing high-risk places in terms of COVID-19 prevalence in each city, introducing specialized COVID-19 medical centers to pregnant women to receive services, medication management, stress management and control, nutrition and diet management, sleep management, contacting physicians, doctor's appointment reminder, searching the available educational materials, and making application adjustments such as text font, size, and color). With an average score of 7.94 (out of 9), pregnant women rated the application at a good level. The application can be used to reduce anxiety and stress about COVID-19 in mothers, provide access to reliable information to answer possible questions, identify high-risk locations, and provide pregnant women with instant access to healthcare facilities and information related to COVID-19 self-care processes.

Telemedicine in Malignant and Nonmalignant Hematology: Systematic Review of Pediatric and Adult Studies

BACKGROUND

Telemedicine, including video-, web-, and telephone-based interventions, is used in adult and pediatric populations to deliver health care and communicate with patients. In the realm of hematology, telemedicine has recently been used to safely and efficiently monitor treatment side-effects, perform consultations, and broaden the reach of subspecialty care.

OBJECTIVE

We aimed to synthesize and analyze information regarding the feasibility, acceptability, and potential benefits of telemedicine interventions in malignant and nonmalignant hematology, as well as assess the recognized limitations of these interventions.

METHODS

Studies were identified through a comprehensive Medical Subject Headings (MeSH) search on the PubMed MEDLINE, Controlled Register of Clinical Trials (Cochrane CENTRAL from Wiley), Embase, and CINAHL (EBSCO) databases on February 7, 2018. A second search, utilizing the same search strategy, was performed on October 1, 2020. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines in the reporting of included evidence. Included studies were original articles researching the feasibility, acceptability, and clinical outcomes of telemedicine or telehealth interventions in pediatric or adult populations with malignant or nonmalignant hematological conditions. Data items in the extraction form included first author name, publication year, country, malignant or nonmalignant hematological condition or disease focus of the study, participant age, participant age subgroup (pediatric or adult), study design and setting, telemedicine intervention type and description, study purpose, and main study outcomes.

RESULTS

A total of 32 articles met the preset criteria and were included in this study. Most (25/32) studies were conducted in adults, and the remaining (7/32) were conducted in the pediatric population. Of the 32 studies, 12 studied malignant hematological conditions, 18 studied nonmalignant conditions, and two studied both malignant and nonmalignant conditions. Study types included pilot study (11/32), retrospective study (9/32), randomized controlled trial (6/32), cross-sectional study (2/32), case study (1/32), pre-post study (1/32), noncomparative prospective study (1/32), and prospective cohort study (1/32). The three main types of telemedicine interventions utilized across all studies were video-based (9/32), telephone-based (9/32), and web-based interventions (14/32). Study results showed comparable outcomes between telemedicine and traditional patient encounter groups across both pediatric and adult populations for malignant and nonmalignant hematological conditions.

CONCLUSIONS

Evidence from this review suggests that telemedicine use in nonmalignant and malignant hematology provides similar or improved health care compared to face-to-face encounters in both pediatric and adult populations. Telemedicine interventions utilized in the included studies were well received in both pediatric and adult settings. However, more research is needed to determine the efficacy of implementing more widespread use of telemedicine for hematological conditions.

Using Behavioural Insights to Improve the Uptake of Services for Drug and Alcohol Misuse

In the U.K., 270,705 adults were in contact with drug and alcohol treatment services between April 2019 and March 2020. Within the same time period, 118,995 individuals exited the treatment system, and just over a third (36%) left treatment without completing it. The latter includes individuals declining further treatment and unsuccessful transfers between services. The aim of this study was to explore the factors that affect drug and alcohol treatment uptake within a drug and alcohol service in North East England. A mixed-methods approach was adopted. The exploration of factors affecting treatment uptake was captured through a behavioural insights survey and 1:1 in-depth qualitative interviews with service users within one council area within the North East of England. There were 53 survey participants, and a further 15 participants took part in qualitative interviews. We triangulated data sources to report consistencies and discrepancies in the data. Findings show that treatment services aiming to reduce missed appointments and increase retention rates need to implement several strategies. Consistently distributing appointment cards, using text message reminders, displaying a timetable presenting all treatment options, and displaying information in a format to ensure it is accessible to individuals with lower health literacy and reducing wait times for appointments will all improve appointment attendance.

Quantitative impact of the first COVID-19 lockdown on nuclear medicine in France: the CORALINE study

PURPOSE

The coronavirus disease 2019 (COVID-19) pandemic reshaped the usual risk: benefit equilibrium that became a trade-off between the infection exposure risk for the patient (and for staff) and the risk associated with delaying or cancelling the nuclear medicine examination. This study aimed at quantifying the impact of the first COVID-19 lockdown in France on nuclear medicine examination volume together with volume of examination cancellation and non-attendance.

METHODS

We retrospectively assessed the volume of planned examinations from 1 month before to 1 month after the first lockdown in French high-volume nuclear medicine departments (NMD) sharing the same information management system including both university hospitals, UH (n = 7), and cancer centres, CC (n = 2).

RESULTS

The study enrolled 31,628 consecutive patients referred for a nuclear medicine examination performed or not (NMEP or NMEnP). The total volume of NMEP significantly dropped by 43.4% between the 4 weeks before and after the starting of the lockdown. The comparison of the percentage of NMEP and NMEnP between UH and CC is significantly different (p < 0.001). The percentage of NMEP during the study was 67.9% in UH vs 84.7% in CC. Percentages of NMEnP in UH and CC were due respectively to cancellation by the patient (14.9 vs 7.4%), cancellation by the NMD (9.5 vs 3.4%), cancellation by the referring physician (5.1 vs 4.4%) and non-attender patients (2.7 vs 0.2%).

CONCLUSION

The study underlines the public health issue caused by COVID-19 above the pandemic itself and should be useful in preparing for potential resource utilisation and staffing requirements.

Stay in treatment: Predicting dropout from pediatric weight management study protocol

Introduction

Childhood obesity is a serious public health concern. Multidisciplinary pediatric weight management programs have been deemed effective. However, effectiveness of these programs is impacted by attrition, limiting health benefits to children, and inefficiently utilizing scarce resources.

Methods

We have developed a model (the Outcomes Forecasting System, OFS) that isolates variables associated with attrition from pediatric weight management, with the potential to forecast participant dropout. In Aim 1, we will increase the power and precision of the OFS and then validate the model through the consistent acquisition of key patient, family, and treatment data, from three different weight management sites. In Aim 2, external validity will be established through the application of the OFS at a fourth pediatric weight management program. Aim 3 will be a pilot clinical trial, incorporating an intervention built on the results of Aims 1 and 2 and utilizing the OFS to reduce attrition.

Discussion

A greater understanding of the patient, family, and disease-specific factors that predict dropout from pediatric weight management can be utilized to prevent attrition. The goal of the current study is to refine the OFS to a level of precision and efficiency to be a valuable tool to any weight management program. By identifying the most pertinent factors driving attrition across weight management sites, new avenues for treatment will be identified. This study will result in a valuable forecasting tool that will be applicable for diverse programs and populations, decrease program costs, and improve patient retention, adherence, and outcomes.

Clinicaltrials.gov identifier

NCT04364282.

Effect of Telephone Call and Text Message Reminders on Patient Return to Acupuncture Follow-Up Treatment: A Pilot Randomized Controlled Trial

Background: Telephone calls and text messages function as cues to elicit patient behavior. Objective: We tested the effect of telephone call and text message reminders on patient return to acupuncture follow-up treatment. Design: This is a randomized controlled trial. Setting and Subjects: We recruited adults visiting an acupuncture clinic for a new treatment consultation. Our sample contained 120 participants with 40 per study group. Interventions: Consenting patients were randomized to 1 of 3 study exposures: single voice call, single text message, or treatment as usual (TAU/no reminder). Exposures were sent 3 days after patient's initial treatment. Outcome Measures: Data from clinic charts were abstracted to quantify the absence/presence of a follow-up treatment return in the 30 days after initial treatment. Participants provided self-report of pain symptoms 10 and 30 days after initial treatment on the pain disability index (PDI) to measure change in PDI by return to follow-up treatment as a secondary outcome. Results: Telephone call (56%, P = 0.98) and text message (57%, P = 0.99) groups showed similar proportion of follow-up treatment returns compared with TAU group (57%). Presence of a follow-up appointment scheduled at the initial treatment predicted patient treatment return (odds ratio: 5.87, P < 0.01). Follow-up treatment return predicted reduced PDI scores at day 30 (β = -3.09, P = 0.02). Conclusions: Adding a 1-time telephone call or text message reminder to standard clinic practice did not improve patient return to acupuncture follow-up treatment within 30 days of initial treatment. Scheduling a future appointment date at initial treatment visit may improve treatment return, and return attendance appears protective of pain disability in the short term.

Mobile nudges and financial incentives to improve coverage of timely neonatal vaccination in rural areas (GEVaP trial): A 3-armed cluster randomized controlled trial in Northern Ghana

Background

Despite progress in vaccination coverage, timeliness of childhood vaccination remains a challenge in many settings. We aimed to assess if mobile phone-based reminders and incentives to health workers and caregivers could increase timely neonatal vaccination in a rural, low-resource setting.

Methods

We conducted an open-label cluster randomized controlled 1:1:1 trial with three arms in 15 communities in Northern Ghana. Communities were randomized to 1) a voice call reminder intervention; 2) a community health volunteer (CHV) intervention with incentivized rewards; 3) control. In the voice call reminder arm, a study staff member made voice calls to mothers shortly after birth to encourage vaccination and provide personalized information about available vaccination services. In the incentive arm, CHVs promoted infant vaccination and informed women with recent births about available vaccination opportunities. Both CHVs and women were provided small monetary incentives for on-time early infant vaccination in this arm, delivered using mobile phone-based banking applications. No study activities were conducted in control communities. A population-based survey compared vaccination coverage across arms in the pre-intervention and intervention periods. The primary endpoint was completion of at least one dose of Polio vaccine within 14 days of life and BCG vaccination within 28 days of life.

Results

Six-hundred ninety births were identified; 106, 88, and 88 from pre-intervention and 150, 135, and 123 in the intervention period, in the control, voice call reminder and CHV incentive arms, respectively. In adjusted intent-to-treat analysis, voice call reminders were associated with 10.5 percentage point (95% CI: 4.0, 17.1) higher coverage of on-time vaccination, while mobile phone-based incentives were associated with 49.5 percentage point (95% CI: 26.4, 72.5) higher coverage.

Conclusion

Community-based interventions using mobile phone technologies can improve timely early vaccination coverage. A CHV approach with incentives to community workers and caregivers was a more effective strategy than voice call reminders. The impact of vaccination “nudges” via voice calls may be constrained in settings where network coverage and phone ownership are limited.

Trial registration

This trial was registered at ClinicalTrials.gov; NCT03797950.

Text Message Medication Adherence Reminders Automated and Delivered at Scale Across Two Institutions: Testing the Nudge System: Pilot Study

BACKGROUND

Medication refill behavior in patients with cardiovascular diseases is suboptimal. Brief behavioral interventions called Nudges may impact medication refill behavior and can be delivered at scale to patients using text messaging.

METHODS

Patients who were prescribed and filled at least one medication for hypertension, hyperlipidemia, diabetes, atrial fibrillation, and coronary artery disease were identified for the pilot study. Patients eligible for the pilot (N=400) were enrolled with an opportunity to opt out. In phase I of the pilot, we tested text message delivery to 60 patients. In phase II, we tested intervention feasibility by identifying those with refill gap of ≥7 days and randomized them to intervention or control arms. Patients were texted Nudges and assessed whether they refilled their medications.

RESULTS

Of 400 patients sent study invitations, 56 (14%) opted out. In phase I, we successfully delivered text messages to 58 of 60 patients and captured patient responses via text. In phase II, 207 of 286 (72.4%) patients had a medication gap ≥7 days for one or more cardiovascular medications and were randomized to intervention or control. Enrolled patients averaged 61.7 years old, were primarily male (69.1%) and White (72.5%) with hypertension being the most prevalent qualifying condition (78.7%). There was a trend towards intervention patients being more likely to refill at least 1 gapping medication (30.6% versus 18.0%; P=0.12) and all gapping medications (17.8% versus 10.0%; P=0.27).

CONCLUSIONS

It is possible to set up automated processes within health care delivery systems to identify patients with gaps in medication adherence and send Nudges to facilitate medication refills. Text message Nudges could potentially be a feasible and effective method to facilitate medication refills. A large multi-site randomized trial to determine the impact of text-based Nudges on overall CVD morbidity and mortality is now underway to explore this further. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03973931.

Barriers and Facilitators to Effective Implementation of the NAMWEZA Intervention in Dar es Salaam, Tanzania

The NAMWEZA intervention was implemented, using a ten-session group format, to build skills targeting psychosocial vulnerabilities and enhancing HIV prevention among people living with HIV (PLH) and their social networks. The overall goal of this intervention is to improve psychological wellbeing and reduce HIV risk behaviours. These analyses aim to describe the barriers and facilitators of implementing the NAMWEZA intervention from the perspective of participants and trained peer group facilitators. Twenty-four in-depth interviews were conducted with NAMWEZA participants, and 50 pooled peer facilitator self-assessment reports were obtained from 16 trained peers. Participants identified personal and structural barriers, including fear of inadvertent HIV status disclosure, time constraints, level of participant reimbursements, and limited space available for group sessions. Factors facilitating effective implementation included perceived benefits of the program, such as reduction in HIV-related risk behaviours, increased self-esteem, and improvement in confidence in HIV prevention communications. Scaling up the NAMWEZA intervention to other areas of Tanzania or regionally should take into account these facilitators and barriers to implementation.

Effectiveness of the Healthy e-Elderly People Intervention (HEPI) mobile application for the reduction of physical health effects caused by smartphone usage among elderly individuals in Thailand

Purpose

The study aimed to evaluate the effectiveness of the Healthy e-Elderly People Intervention (HEPI) mobile application in reducing the physical health effects caused by smartphone usage.

Design/methodology/approach

This randomized controlled trial involved elderly volunteers residing in different regions of Thailand and using smartphones. The samples included 33 participants in each control and intervention group. The intervention group received the HEPI application with reminder messages, while the control group received the HEPI application without reminder messages. Assessments were conducted at baseline, follow-up 1 (four weeks after the last reminder messages) and follow-up 2 (12 weeks after the last reminder messages). Data analyses (i.e descriptive statistics, independent sample t-tests and repeated-measures analysis of variance) were used to obtain the overall mean change difference between the intervention and control groups at different time points (per-protocol analysis). The priorities of physical health risk were assessed using Health Risk Matrix.

Findings

The HEPI mobile application significantly improved knowledge, attitudes and practice scores in both the HEPI with and without reminder messages. The mean physical health risk score in both control and intervention groups was radically decreased from baseline to follow-up 1; lower physical health scores suggested lower health risk.

Originality/value

Increased duration of smartphone usage by elderly individuals in Thailand may result in a risk of developing several serious health conditions. The HEPI application with reminder messages could be used as a tool to benefit smartphone users and would further benefit from a booster after four weeks of intervention.

Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System

IMPORTANCE

Health care systems deliver automated text or telephone messages to remind patients of appointments and to provide health information. Patients who receive multiple messages may demonstrate message fatigue by opting out of future messages.

OBJECTIVE

To assess whether the volume of automated text or interactive voice response (IVR) telephone messages is associated with the likelihood of patients requesting to opt out of future messages.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study was conducted at Kaiser Permanente Colorado (KPCO), an integrated health care system. All adult members who received 1 or more automated text or IVR message between October 1, 2018, and September 30, 2019, were included.

EXPOSURES

Receipt of automated text or IVR messages.

MAIN OUTCOMES AND MEASURES

Message volume and opt-out rates obtained from messaging systems over 1 year.

RESULTS

Of the 428 242 adults included in this study, 59.7% were women, and 66.5% were White; the mean (SD) age was 52.3 (17.7) years. During the study period, 84.1% received 1 or more text messages (median, 4 messages; interquartile range, 2-8 messages) and 67.8% received 1 or more IVR messages (median, 3 messages; interquartile range, 1-6 messages). A total of 8929 individuals (2.5%) opted out of text messages, and 4392 (1.5%) opted out of IVR messages. In multivariable analyses, individuals who received 10 to 19.9 or 20 or more text messages per year had higher opt-out rates for text messages compared with those who received fewer than 2 messages per year (adjusted odds ratio [aOR]: 10-19.9 vs <2 messages, 1.27 [95% CI, 1.17-1.38]; ≥20 vs <2 messages, 3.58 [95% CI, 3.28-3.91]), whereas opt-out rates increased progressively in association with IVR message volume, with the highest rates among individuals who received 10.0 to 19.9 messages (aOR, 11.11; 95% CI, 9.43-13.08) or 20.0 messages or more (aOR, 49.84; 95% CI, 42.33-58.70). Individuals opting out of text messages were more likely to opt out of IVR messages (aOR, 4.07; 95% CI, 3.65-4.55), and those opting out of IVR messages were more likely to opt out of text messages (aOR, 5.92; 95% CI, 5.29-6.61).

CONCLUSIONS AND RELEVANCE

In this cohort study among adult members of an integrated health care system, requests to discontinue messages were associated with greater message volume. These findings suggest that, to preserve the benefits of automated outreach, health care systems should use these messages judiciously to reduce message fatigue.

Randomized controlled study using text messages to help connect new medicaid beneficiaries to primary care

Accessing primary care is often difficult for newly insured Medicaid beneficiaries. Tailored text messages may help patients navigate the health system and initiate care with a primary care physician. We conducted a randomized controlled trial of tailored text messages with newly enrolled Medicaid managed care beneficiaries. Text messages included education about the importance of primary care, reminders to obtain an appointment, and resources to help schedule an appointment. Within 120 days of enrollment, we examined completion of at least one primary care visit and use of the emergency department. Within 1 year of enrollment, we examined diagnosis of a chronic disease, receipt of preventive care, and use of the emergency department. 8432 beneficiaries (4201 texting group; 4231 control group) were randomized; mean age was 37 years and 24% were White. In the texting group, 31% engaged with text messages. In the texting vs control group after 120 days, there were no differences in having one or more primary care visits (44.9% vs. 45.2%; difference, −0.27%; p = 0.802) or emergency department use (16.2% vs. 16.0%; difference, 0.23%; p = 0.771). After 1 year, there were no differences in diagnosis of a chronic disease (29.0% vs. 27.8%; difference, 1.2%; p = 0.213) or appropriate preventive care (for example, diabetes screening: 14.1% vs. 13.4%; difference, 0.69%; p = 0.357), but emergency department use (32.7% vs. 30.2%; difference, 2.5%; p = 0.014) was greater in the texting group. Tailored text messages were ineffective in helping new Medicaid beneficiaries visit primary care within 120 days.

eRegCom-Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial

BACKGROUND

This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare providers and Targeted Client Communication (TCC) via short message service (SMS) to clients. The aim is to assess the effectiveness of the automated communication strategies from the eRegistry on improving attendance and quality of care for pregnant women.

METHODS

This four-arm cluster randomized controlled trial will be conducted in the West Bank and the Gaza Strip, Palestine, and includes 138 clusters (primary healthcare clinics) enrolling from 45 to 3000 pregnancies per year. The intervention tools are the QID and the TCC via SMS, automated from the eRegistry built on the District Health Information Software 2 (DHIS2) Tracker. The primary outcomes are appropriate screening and management of anemia, hypertension, and diabetes during pregnancy and timely attendance to antenatal care. Primary analysis, at the individual level taking the design effect of the clustering into account, will be done as intention-to-treat.

DISCUSSION

This trial, embedded in the implementation of the eRegistry in Palestine, will inform the use of digital health interventions as a health systems strengthening approach.

TRIAL REGISTRATION

ISRCTN Registry, ISRCTN10520687 . Registered on 18 October 2018.