A Pilot Randomized Trial of a Video Patient Decision Aid to Facilitate Early Intervention Referrals From Primary Care

Decision aids for people facing health treatment or screening decisions

BACKGROUND

Patient decision aids are interventions designed to support people making health decisions. At a minimum, patient decision aids make the decision explicit, provide evidence-based information about the options and associated benefits/harms, and help clarify personal values for features of options. This is an update of a Cochrane review that was first published in 2003 and last updated in 2017.

OBJECTIVES

To assess the effects of patient decision aids in adults considering treatment or screening decisions using an integrated knowledge translation approach.

SEARCH METHODS

We conducted the updated search for the period of 2015 (last search date) to March 2022 in CENTRAL, MEDLINE, Embase, PsycINFO, EBSCO, and grey literature. The cumulative search covers database origins to March 2022.

SELECTION CRITERIA

We included published randomized controlled trials comparing patient decision aids to usual care. Usual care was defined as general information, risk assessment, clinical practice guideline summaries for health consumers, placebo intervention (e.g. information on another topic), or no intervention.

DATA COLLECTION AND ANALYSIS

Two authors independently screened citations for inclusion, extracted intervention and outcome data, and assessed risk of bias using the Cochrane risk of bias tool. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made (informed values-based choice congruence) and the decision-making process, such as knowledge, accurate risk perceptions, feeling informed, clear values, participation in decision-making, and adverse events. Secondary outcomes were choice, confidence in decision-making, adherence to the chosen option, preference-linked health outcomes, and impact on the healthcare system (e.g. consultation length). We pooled results using mean differences (MDs) and risk ratios (RRs) with 95% confidence intervals (CIs), applying a random-effects model. We conducted a subgroup analysis of 105 studies that were included in the previous review version compared to those published since that update (n = 104 studies). We used Grading of Recommendations Assessment, Development, and Evaluation (GRADE) to assess the certainty of the evidence.

MAIN RESULTS

This update added 104 new studies for a total of 209 studies involving 107,698 participants. The patient decision aids focused on 71 different decisions. The most common decisions were about cardiovascular treatments (n = 22 studies), cancer screening (n = 17 studies colorectal, 15 prostate, 12 breast), cancer treatments (e.g. 15 breast, 11 prostate), mental health treatments (n = 10 studies), and joint replacement surgery (n = 9 studies). When assessing risk of bias in the included studies, we rated two items as mostly unclear (selective reporting: 100 studies; blinding of participants/personnel: 161 studies), due to inadequate reporting. Of the 209 included studies, 34 had at least one item rated as high risk of bias. There was moderate-certainty evidence that patient decision aids probably increase the congruence between informed values and care choices compared to usual care (RR 1.75, 95% CI 1.44 to 2.13; 21 studies, 9377 participants). Regarding attributes related to the decision-making process and compared to usual care, there was high-certainty evidence that patient decision aids result in improved participants' knowledge (MD 11.90/100, 95% CI 10.60 to 13.19; 107 studies, 25,492 participants), accuracy of risk perceptions (RR 1.94, 95% CI 1.61 to 2.34; 25 studies, 7796 participants), and decreased decisional conflict related to feeling uninformed (MD -10.02, 95% CI -12.31 to -7.74; 58 studies, 12,104 participants), indecision about personal values (MD -7.86, 95% CI -9.69 to -6.02; 55 studies, 11,880 participants), and proportion of people who were passive in decision-making (clinician-controlled) (RR 0.72, 95% CI 0.59 to 0.88; 21 studies, 4348 participants). For adverse outcomes, there was high-certainty evidence that there was no difference in decision regret between the patient decision aid and usual care groups (MD -1.23, 95% CI -3.05 to 0.59; 22 studies, 3707 participants). Of note, there was no difference in the length of consultation when patient decision aids were used in preparation for the consultation (MD -2.97 minutes, 95% CI -7.84 to 1.90; 5 studies, 420 participants). When patient decision aids were used during the consultation with the clinician, the length of consultation was 1.5 minutes longer (MD 1.50 minutes, 95% CI 0.79 to 2.20; 8 studies, 2702 participants). We found the same direction of effect when we compared results for patient decision aid studies reported in the previous update compared to studies conducted since 2015.

AUTHORS' CONCLUSIONS

Compared to usual care, across a wide variety of decisions, patient decision aids probably helped more adults reach informed values-congruent choices. They led to large increases in knowledge, accurate risk perceptions, and an active role in decision-making. Our updated review also found that patient decision aids increased patients' feeling informed and clear about their personal values. There was no difference in decision regret between people using decision aids versus those receiving usual care. Further studies are needed to assess the impact of patient decision aids on adherence and downstream effects on cost and resource use.

Using Claims Data to Map Unmet Service Needs for Early Childhood Developmental Disabilities in Virginia

BACKGROUND

Developmental disabilities (DD) affect over 10% of children 0 to 5 years of age, and early interventions are known to improve outcomes, yet barriers remain in connecting children to these services.

OBJECTIVE

To identify gaps in services for young children with DD and established risk conditions in Virginia.

METHODS

Data from the 2018 Virginia All Payers Claim Database and the American Community Survey were used to estimate the proportion of children with DD, and among those children, the proportion that received at least one intervention service. Logistic and binomial regression models were used to examine the socio-demographic associations with having developmental needs met, at the individual and zip code tabulation (ZCTA) level.

RESULTS

Approximately 12% of children 0 to 5 years were found to have DD or established risk condition diagnosis, and only 54% of these received intervention services during that year. Individual-level analyses suggest that odds of having developmental needs met are higher among older children, boys, and children with public insurance. ZCTA-level analyses suggested higher odds of developmental needs being met in areas with higher levels of unemployment, while areas with high proportions of people with limited English proficiency and a high school education or less had lower odds of having needs met.

CONCLUSIONS

Receiving early childhood developmental services in Virginia is associated with having public insurance and living in an area with higher levels of unemployment, higher education, and English-proficiency. Efforts are needed to improve delivery of services overall, specifically targeted to those areas with high levels of unmet need.

A Systematic Review and Meta-Analysis of Patient Decision Aids for Socially Disadvantaged Populations: Update from the International Patient Decision Aid Standards (IDPAS)

BACKGROUND

The effectiveness of patient decision aids (PtDAs) and other shared decision-making (SDM) interventions for socially disadvantaged populations has not been well studied.

PURPOSE

To assess whether PtDAs and other SDM interventions improve outcomes or decrease health inequalities among socially disadvantaged populations and determine the critical features of successful interventions.

DATA SOURCES

MEDLINE, CINAHL, Cochrane, PsycINFO, and Web of Science from inception to October 2019. Cochrane systematic reviews on PtDAs.

STUDY SELECTION

Randomized controlled trials of PtDAs and SDM interventions that included socially disadvantaged populations.

DATA EXTRACTION

Independent double data extraction using a standardized form and the Template for Intervention Description and Replication checklist.

DATA SYNTHESIS

Twenty-five PtDA and 13 other SDM intervention trials met our inclusion criteria. Compared with usual care, PtDAs improved knowledge (mean difference = 13.91, 95% confidence interval [CI] 9.01, 18.82 [I2 = 96%]) and patient-clinician communication (relative risk = 1.62, 95% CI 1.42, 1.84 [I2 = 0%]). PtDAs reduced decisional conflict (mean difference = -9.59; 95% CI -18.94, -0.24 [I2 = 84%]) and the proportion undecided (relative risk = 0.39; 95% CI 0.28, 0.53 [I2 = 75%]). PtDAs did not affect anxiety (standardized mean difference = 0.02, 95% CI -0.22, 0.26 [I2 = 70%]). Only 1 trial looked at clinical outcomes (hemoglobin A1C). Five of the 12 PtDA studies that compared outcomes by disadvantaged standing found that outcomes improved more for socially disadvantaged participants. No evidence indicated which intervention characteristics were most effective. Results were similar for SDM intervention trials.

LIMITATIONS

Sixteen PtDA studies had an overall unclear risk of bias. Heterogeneity was high for most outcomes. Most studies only had short-term follow-up.

CONCLUSIONS

PtDAs led to better outcomes among socially disadvantaged populations but did not reduce health inequalities. We could not determine which intervention features were most effective.[Box: see text].

Shared decision making in pediatric dermatology: context, opportunities, and practical examples

PURPOSE OF REVIEW

Shared decision making (SDM) is an important part of patient-centered care. However, it is neither widely practiced nor researched in pediatric dermatology. In this article, we provide practical examples of how to engage in SDM in pediatric dermatology, and identify future areas of research.

RECENT FINDINGS

Children and parents/guardians desire SDM in clinical encounters. The process is applicable to discussions of medical as well as surgical care. Additionally, SDM can help prepare children for the transition from pediatric to adult/general providers. Clinicians often want more guidance on its implementation, and there is a dearth of research on SDM or decision tools specific to pediatric dermatology.

SUMMARY

SDM is underused and understudied in pediatric dermatology. This article highlights how to engage in SDM and presents opportunities for research and implementation in pediatric dermatology.

Addressing Health Literacy in Patient Decision Aids: An Update from the International Patient Decision Aid Standards

BACKGROUND

There is increasing recognition of the importance of addressing health literacy in patient decision aid (PtDA) development.

PURPOSE

An updated review as part of IPDAS 2.0 examined the extent to which PtDAs are designed to meet the needs of people with low health literacy/socially-disadvantaged populations.

DATA SOURCES

Reference lists of Cochrane reviews of randomized controlled trials (RCTs) of PtDAs (2014, 2017, and upcoming 2021 versions).

STUDY SELECTION

RCTs that assessed the impact of PtDAs on low health literacy or other socially-disadvantaged groups (i.e., ≥50% participants from socially-disadvantaged groups and/or subgroup analysis in socially-disadvantaged group/s).

DATA EXTRACTION

Two researchers independently extracted data into a standardized form including PtDA development and evaluation details. We searched online repositories and emailed authors to access PtDAs to verify grade reading level, understandability, and actionability.

DATA SYNTHESIS

Twenty-five of 213 RCTs met the inclusion criteria, illustrating that only 12% of studies addressed the needs of low health literacy or other socially-disadvantaged groups. Grade reading level was calculated in 8 of 25 studies (33%), which is recommended in previous IPDAS guidelines. We accessed and independently assessed 11 PtDAs. None were written at sixth-grade level or below. Ten PtDAs met the recommended threshold for understandability, but only 5 met the recommended threshold for actionability. We also conducted a post hoc subgroup meta-analysis and found that knowledge improvements after receiving a PtDA were greater in studies that reported using strategies to reduce cognitive demand in PtDA development compared with studies that did not (χ² = 14.11, P = 0.0002, I² = 92.9%).

LIMITATIONS

We were unable to access 13 of 24 PtDAs. Conclusions. Greater attention to health literacy and socially-disadvantaged populations is needed in the field of PtDAs to ensure equity in decision support.

Targeted client communication via mobile devices for improving maternal, neonatal, and child health

BACKGROUND

The global burden of poor maternal, neonatal, and child health (MNCH) accounts for more than a quarter of healthy years of life lost worldwide. Targeted client communication (TCC) via mobile devices (MD) (TCCMD) may be a useful strategy to improve MNCH.

OBJECTIVES

To assess the effects of TCC via MD on health behaviour, service use, health, and well-being for MNCH.

SEARCH METHODS

In July/August 2017, we searched five databases including The Cochrane Central Register of Controlled Trials, MEDLINE and Embase. We also searched two trial registries. A search update was carried out in July 2019 and potentially relevant studies are awaiting classification.

SELECTION CRITERIA

We included randomised controlled trials that assessed TCC via MD to improve MNCH behaviour, service use, health, and well-being. Eligible comparators were usual care/no intervention, non-digital TCC, and digital non-targeted client communication.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures recommended by Cochrane, although data extraction and risk of bias assessments were carried out by one person only and cross-checked by a second.

MAIN RESULTS

We included 27 trials (17,463 participants). Trial populations were: pregnant and postpartum women (11 trials conducted in low-, middle- or high-income countries (LMHIC); pregnant and postpartum women living with HIV (three trials carried out in one lower middle-income country); and parents of children under the age of five years (13 trials conducted in LMHIC). Most interventions (18) were delivered via text messages alone, one was delivered through voice calls only, and the rest were delivered through combinations of different communication channels, such as multimedia messages and voice calls. Pregnant and postpartum women TCCMD versus standard care For behaviours, TCCMD may increase exclusive breastfeeding in settings where rates of exclusive breastfeeding are less common (risk ratio (RR) 1.30, 95% confidence intervals (CI) 1.06 to 1.59; low-certainty evidence), but have little or no effect in settings where almost all women breastfeed (low-certainty evidence). For use of health services, TCCMD may increase antenatal appointment attendance (odds ratio (OR) 1.54, 95% CI 0.80 to 2.96; low-certainty evidence); however, the CI encompasses both benefit and harm. The intervention may increase skilled attendants at birth in settings where a lack of skilled attendants at birth is common (though this differed by urban/rural residence), but may make no difference in settings where almost all women already have a skilled attendant at birth (OR 1.00, 95% CI 0.34 to 2.94; low-certainty evidence). There were uncertain effects on maternal and neonatal mortality and morbidity because the certainty of the evidence was assessed as very low. TCCMD versus non-digital TCC (e.g. pamphlets) TCCMD may have little or no effect on exclusive breastfeeding (RR 0.92, 95% CI 0.79 to 1.07; low-certainty evidence). TCCMD may reduce 'any maternal health problem' (RR 0.19, 95% CI 0.04 to 0.79) and 'any newborn health problem' (RR 0.52, 95% CI 0.25 to 1.06) reported up to 10 days postpartum (low-certainty evidence), though the CI for the latter includes benefit and harm. The effect on health service use is unknown due to a lack of studies. TCCMD versus digital non-targeted communication No studies reported behavioural, health, or well-being outcomes for this comparison. For use of health services, there are uncertain effects for the presence of a skilled attendant at birth due to very low-certainty evidence, and the intervention may make little or no difference to attendance for antenatal influenza vaccination (RR 1.05, 95% CI 0.71 to 1.58), though the CI encompasses both benefit and harm (low-certainty evidence). Pregnant and postpartum women living with HIV TCCMD versus standard care For behaviours, TCCMD may make little or no difference to maternal and infant adherence to antiretroviral (ARV) therapy (low-certainty evidence). For health service use, TCC mobile telephone reminders may increase use of antenatal care slightly (mean difference (MD) 1.5, 95% CI -0.36 to 3.36; low-certainty evidence). The effect on the proportion of births occurring in a health facility is uncertain due to very low-certainty evidence. For health and well-being outcomes, there was an uncertain intervention effect on neonatal death or stillbirth, and infant HIV due to very low-certainty evidence. No studies reported on maternal mortality or morbidity. TCCMD versus non-digital TCC The effect is unknown due to lack of studies reporting this comparison. TCCMD versus digital non-targeted communication TCCMD may increase infant ARV/prevention of mother-to-child transmission treatment adherence (RR 1.26, 95% CI 1.07 to 1.48; low-certainty evidence). The effect on other outcomes is unknown due to lack of studies. Parents of children aged less than five years No studies reported on correct treatment, nutritional, or health outcomes. TCCMD versus standard care Based on 10 trials, TCCMD may modestly increase health service use (vaccinations and HIV care) (RR 1.21, 95% CI 1.08 to 1.34; low-certainty evidence); however, the effect estimates varied widely between studies. TCCMD versus non-digital TCC TCCMD may increase attendance for vaccinations (RR 1.13, 95% CI 1.00 to 1.28; low-certainty evidence), and may make little or no difference to oral hygiene practices (low-certainty evidence). TCCMD versus digital non-targeted communication TCCMD may reduce attendance for vaccinations, but the CI encompasses both benefit and harm (RR 0.63, 95% CI 0.33 to 1.20; low-certainty evidence). No trials in any population reported data on unintended consequences.

AUTHORS' CONCLUSIONS

The effect of TCCMD for most outcomes is uncertain. There may be improvements for some outcomes using targeted communication but these findings were of low certainty. High-quality, adequately powered trials and cost-effectiveness analyses are required to reliably ascertain the effects and relative benefits of TCCMD. Future studies should measure potential unintended consequences, such as partner violence or breaches of confidentiality.

Community-Engaged Research to Translate Developmental Screening and Referral Processes into Locally-Relevant, Family-Centered Language

OBJECTIVES

This project employed Boot Camp Translation (BCT) to engage community stakeholders in the translation of developmental screening guidelines and early intervention service recommendations into locally-relevant, family-centered messaging.

METHODS

A subject matter expert provided an overview of development, developmental delay, developmental screening and referral processes, and early intervention to BCT participants. BCT participants and facilitators met in-person and via teleconferencing over the course of 12 months to co-develop locally-relevant messages and materials.

RESULTS

BCT participants focused on defining development, developmental delay, and early intervention, rather than describing developmental screening and referral processes. They proposed several dissemination strategies, and focused much of their effort on the creation of an informational booklet designed to educate and empower caregivers.

CONCLUSIONS FOR PRACTICE

BCT is a useful approach for translating developmental screening guidelines and early intervention recommendations into locally-relevant, family-centered messaging.

Clients' perceptions and experiences of targeted digital communication accessible via mobile devices for reproductive, maternal, newborn, child, and adolescent health: a qualitative evidence synthesis

BACKGROUND

Governments and health systems are increasingly using mobile devices to communicate with patients and the public. Targeted digital client communication is when the health system transmits information to particular individuals or groups of people, based on their health or demographic status. Common types of targeted client communication are text messages that remind people to go to appointments or take their medicines. Other types include phone calls, interactive voice response, or multimedia messages that offer healthcare information, advice, monitoring, and support.

OBJECTIVES

To explore clients' perceptions and experiences of targeted digital communication via mobile devices on topics related to reproductive, maternal, newborn, child, or adolescent health (RMNCAH).

SEARCH METHODS

We searched MEDLINE (OvidSP), MEDLINE In-Process & Other Non-Indexed Citations (OvidSP), Embase (Ovid), World Health Organization Global Health Library, and POPLINE databases for eligible studies from inception to 3-6 July 2017 dependant on the database (See appendix 2).

SELECTION CRITERIA

We included studies that used qualitative methods for data collection and analysis; that explored clinets' perceptions and experiences of targeted digital communication via mobile device in the areas of RMNCAH; and were from any setting globally.

DATA COLLECTION AND ANALYSIS

We used maximum variation purposive sampling for data synthesis, employing a three-step sampling frame. We conducted a framework thematic analysis using the Supporting the Use of Research Evidence (SURE) framework as our starting point. We assessed our confidence in the findings using the GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research) approach. We used a matrix approach to explore whether potential implementation barriers identified in our synthesis had been addressed in the trials included in the related Cochrane Reviews of effectiveness.

MAIN RESULTS

We included 35 studies, from a wide range of countries on six continents. Nineteen studies were conducted in low- and middle-income settings and sixteen in high-income settings. Some of the studies explored the views of people who had experienced the interventions, whereas others were hypothetical in nature, asking what people felt they would like from a digital health intervention. The studies covered a range of digital targeted client communication, for example medication or appointment reminders, prenatal health information, support for smoking cessation while pregnant, or general sexual health information.Our synthesis showed that clients' experiences of these types of programmes were mixed. Some felt that these programmes provided them with feelings of support and connectedness, as they felt that someone was taking the time to send them messages (moderate confidence in the evidence). They also described sharing the messages with their friends and family (moderate confidence).However, clients also pointed to problems when using these programmes. Some clients had poor access to cell networks and to the internet (high confidence). Others had no phone, had lost or broken their phone, could not afford airtime, or had changed their phone number (moderate confidence). Some clients, particularly women and teenagers, had their access to phones controlled by others (moderate confidence). The cost of messages could also be a problem, and many thought that messages should be free of charge (high confidence). Language issues as well as skills in reading, writing, and using mobile phones could also be a problem (moderate confidence).Clients dealing with stigmatised or personal health conditions such as HIV, family planning, or abortion care were also concerned about privacy and confidentiality (high confidence). Some clients suggested strategies to deal with these issues, such as using neutral language and tailoring the content, timing, and frequency of messages (high confidence).Clients wanted messages at a time and frequency that was convenient for them (moderate confidence). They had preferences for different delivery channels (e.g. short message service (SMS) or interactive voice response) (moderate confidence). They also had preferences about message content, including new knowledge, reminders, solutions, and suggestions about health issues (moderate confidence). Clients' views about who sent the digital health communication could influence their views of the programme (moderate confidence).For an overview of the findings and our confidence in the evidence, please see the 'Summary of qualitative findings' tables.Our matrix shows that many of the trials assessing these types of programmes did not try to address the problems we identified, although this may have been a reporting issue.

AUTHORS' CONCLUSIONS

Our synthesis identified several factors that can influence the successful implementation of targeted client communication programmes using mobile devices. These include barriers to use that have equity implications. Programme planners should take these factors into account when designing and implementing programmes. Future trial authors also need to actively address these factors and to report their efforts in their trial publications.

Ensuring Timely Connection to Early Intervention for Young Children With Developmental Delays

BACKGROUND AND OBJECTIVES

Timely provision of developmental services can improve outcomes for children 0 to 3 years old with developmental delays. Early Intervention (EI) provides free developmental services to children under age 3 years; however, data suggests that many children referred to EI never connect to the program. We sought to ensure that 70% of patients referred to EI from an academic primary care clinic serving a low-income population were evaluated within 120 days of referral.

METHODS

Recognizing that our baseline system of EI referrals had multiple routes to referral without an ability to track referral outcome, we implemented a multifaceted referral process with (1) a centralized electronic referral system used by providers, (2) patient navigators responsible for processing all EI referrals submitted by providers, and (3) a tracking system postreferral to facilitate identification of patients failing to connect with EI.

RESULTS

The percentage of patients evaluated by EI within 120 days increased from a baseline median of 50% to a median of 72% after implementation of the systems (N = 309). After implementation, the centralized referral system was used a median of 90% of the time. Tracking of referral outcomes revealed decreases in families refusing evaluations and improvements in exchange of information with EI.

CONCLUSIONS

Rates of connection to EI improved substantially when referrals were centralized in the clinic and patient navigators were responsible for tracking referral outcomes. Knowledge of EI intake processes and relationships between the practice and the EI site are essential to ensure successful connections.

Beliefs Regarding Development and Early Intervention Among Low-Income African American and Hispanic Mothers

OBJECTIVES

Understand the role of health beliefs in shaping maternal decisions regarding help-seeking for children with developmental delay (DD) and explore differences between African American and Hispanic mothers.

METHODS

Open-ended, semistructured interviews were conducted with African American and Hispanic mothers of children aged 0 to 36 months with DD. Interviews were recorded, transcribed, and analyzed by using inductive content analysis.

RESULTS

Mothers (n = 22) were African American (36%) or Hispanic (64%), 25 to 34 years old (64%), had less than a high school education (59%), and had children receiving public insurance (95%). Five major themes emerged describing the role of maternal health beliefs in shaping key stages of the help-seeking pathway for children with DD: (1) "I can see" (observing other children and making comparisons); (2) "Children are different and develop in their own time" (perceiving that their child might be different, but not necessarily delayed); (3) "It's not that I don't trust the doctor" (relying on social networks rather than pediatricians to inform the help-seeking pathway); (4) "I got so much going on" (difficulty prioritizing early intervention [EI] because of competing stressors); and (5) limited and conflicting information (delaying or forgoing EI because of limited or conflicting information). Differences between African American and Hispanic mothers are also described.

CONCLUSIONS

Understanding maternal health beliefs and expectations regarding DD and EI, acknowledging the influence of social networks on help-seeking, and addressing social and financial stressors are critical to ensuring that children with DD are identified and supported at an early age.