Decision-making and Treatment Preferences Surrounding Bacteriuria in Nonpregnant Women: A Qualitative Investigation.

INTRODUCTION AND HYPOTHESIS: Best practices suggest nontreatment for asymptomatic bacteriuria in a nonpregnant population, yet there is little literature on patient preference or understanding of asymptomatic bacteriuria treatment. We hypothesize that there might be core factors that affect antibiotic preferences and care-seeking decisions for urinary tract infection and asymptomatic bacteriuria in a postmenopausal population. METHODS: We performed semi-structured interviews with postmenopausal individuals who had been previously treated for at least one patient-reported urinary tract infection. Interviews covered a discussion about their approach to seeking antibiotics for management and knowledge/preferences for asymptomatic bacteriuria management. Two authors independently coded the interviews and identified a set of symptom-related knowledge and experiences that relate to care-seeking and treatment preferences. We then graphically represented a mental model of antibiotic-seeking practices as an influence diagram, illustrating how knowledge and values affect preferences for care. RESULTS: We performed 30 interviews of participants with a mean age of 69.4 (SD 6.4). Among participants, there were four core factors that influence antibiotic seeking for bacteriuria. Participants noted concern for sequelae from untreated bacteria as their primary motivation, but also noted past experiences, information sources, and testing results as themes that affected their mental model surrounding bacteriuria treatment. CONCLUSIONS: The cognitive approach to care-seeking and treatment preference for bacteriuria is influenced by a few central factors. An improved ability to allay concerns either by provider discussions or educational materials are necessary to bridge the gap from the existence of evidence-based guidelines to patient and provider comfort with adherence to these guidelines.

Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data.

PURPOSE: To develop a machine learning algorithm, using patient-reported data from early pregnancy, to predict later onset of first time moderate-to-severe depression. METHODS: A sample of 944 U.S. patient participants from a larger longitudinal observational cohortused a prenatal support mobile app from September 2019 to April 2022. Participants self-reported clinical and social risk factors during first trimester initiation of app use and completed voluntary depression screenings in each trimester. Several machine learning algorithms were applied to self-reported data, including a novel algorithm for causal discovery. Training and test datasets were built from a randomized 80/20 data split. Models were evaluated on their predictive accuracy and their simplicity (i.e., fewest variables required for prediction). RESULTS: Among participants, 78% identified as white with an average age of 30 [IQR 26-34]; 61% had income ≥ $50,000; 70% had a college degree or higher; and 49% were nulliparous. All models accurately predicted first time moderate-severe depression using first trimester baseline data (AUC 0.74-0.89, sensitivity 0.35-0.81, specificity 0.78-0.95). Several predictors were common across models, including anxiety history, partnered status, psychosocial factors, and pregnancy-specific stressors. The optimal model used only 14 (26%) of the possible variables and had excellent accuracy (AUC = 0.89, sensitivity = 0.81, specificity = 0.83). When food insecurity reports were included among a subset of participants, demographics, including race and income, dropped out and the model became more accurate (AUC = 0.93) and simpler (9 variables). CONCLUSION: A relatively small amount of self-report data produced a highly predictive model of first time depression among pregnant individuals.

A Model for Engaging Citizen Scientists: A Community-Partnered Research Collaboration to Address Inequities for Black Birthing People.

PURPOSE: Co-creation of a citizen-science research initiative with a collaborative team of community members and university-based scientists to address regional disparities in maternal and fetal health outcomes for Black birthing people. DESCRIPTION: Citizen scientist-led projects, where community members actively contribute to each discovery step, from setting a research agenda to collecting data and disseminating results, can extend community participatory research initiatives and help reconceptualize traditional research processes. The Pregnancy Collaborative is a citizen-science research initiative and one of nine scientific committees of The Pittsburgh Study-a longitudinal, community-partnered study designed to bring together collaborators to improve child thriving. ASSESSMENT: Ten community members and five university-based scientists participated during all phases of developing a citizen-scientist collaboration over an initial two-and-a-half-year period. Phases include forming the Pregnancy Collaborative and group research ethics training; co-creating a research agenda grounded in shared principles; and community-partnered data collection, analysis, and dissemination. These phases produced three key co-designed products: (1) a mission and vision statement of the Pregnancy Collaborative, (2) a Collaborative-endorsed research agenda, and (3) a citizen-scientist-executed research survey. CONCLUSION: Lessons learned from the formation of the Pregnancy Collaborative highlight the importance of equitable power distribution through bidirectional knowledge sharing and by centering intellectual effort, lived experience, and tools and resources of those affected by health inequities. Using a citizen science approach to co-designing and executing research helps us move maternal health inequity work from "research on" to "research with."

Barriers of Acceptance to Hospice Care: a Randomized Vignette-Based Experiment.

BACKGROUND: The per diem financial structure of hospice care may lead agencies to consider patient-level factors when weighing admissions. OBJECTIVE: To investigate if treatment cost, disease complexity, and diagnosis are associated with hospice willingness to accept patients. DESIGN: In this 2019 online survey study, individuals involved in hospice admissions decisions were randomized to view one of six hypothetical patient vignettes: "high-cost, high-complexity," "low-cost, high-complexity," and "low-cost, low-complexity" within two diseases: heart failure and cystic fibrosis. Vignettes included demographics, prognoses, goals, and medications with costs. Respondents indicated their perceived likelihood of acceptance to their hospice; if likelihood was <100%, respondents were asked the barriers to acceptance. We used bivariate tests to examine associations between demographic, clinical, and organizational factors and likelihood of acceptance. PARTICIPANTS: Individuals involved in hospice admissions decisions MAIN MEASURES: Likelihood of acceptance to hospice care KEY RESULTS: N=495 (76% female, 53% age 45-64). Likelihoods of acceptance in cystic fibrosis were 79.8% (high-cost, high-complexity), 92.4% (low-cost, high-complexity), and 91.5% (low-cost, low-complexity), and in heart failure were 65.9% (high-cost, high-complexity), 87.3% (low-cost, high-complexity), and 96.6% (low-cost, low-complexity). For both heart failure and cystic fibrosis, respondents were less likely to accept the high-cost, high-complexity patient than the low-cost, high-complexity patient (65.9% vs. 87.3%, 79.8% vs. 92.4%, both p<0.001). For heart failure, respondents were less likely to accept the low-cost, high-complexity patient than the low-cost, low-complexity patient (87.3% vs. 96.6%, p=0.004). Treatment cost was the most common barrier for 5 of 6 vignettes. CONCLUSIONS: This study suggests that patients receiving expensive and/or complex treatments for palliation may have difficulty accessing hospice.

Parent-Reported Use of Pediatric Primary Care Telemedicine: Survey Study.

BACKGROUND: Telemedicine delivered from primary care practices became widely available for children during the COVID-19 pandemic. OBJECTIVE: Focusing on children with a usual source of care, we aimed to examine factors associated with use of primary care telemedicine. METHODS: In February 2022, we surveyed parents of children aged ≤17 years on the AmeriSpeak panel, a probability-based panel of representative US households, about their children's telemedicine use. We first compared sociodemographic factors among respondents who did and did not report a usual source of care for their children. Among those reporting a usual source of care, we used Rao-Scott F tests to examine factors associated with parent-reported use versus nonuse of primary care telemedicine for their children. RESULTS: Of 1206 respondents, 1054 reported a usual source of care for their children. Of these respondents, 301 of 1054 (weighted percentage 28%) reported primary care telemedicine visits for their children. Factors associated with primary care telemedicine use versus nonuse included having a child with a chronic medical condition (87/301, weighted percentage 27% vs 113/753, 15%, respectively; P=.002), metropolitan residence (262/301, weighted percentage 88% vs 598/753, 78%, respectively; P=.004), greater internet connectivity concerns (60/301, weighted percentage 24% vs 116/753, 16%, respectively; P=.05), and greater health literacy (285/301, weighted percentage 96% vs 693/753, 91%, respectively; P=.005). CONCLUSIONS: In a national sample of respondents with a usual source of care for their children, approximately one-quarter reported use of primary care telemedicine for their children as of 2022. Equitable access to primary care telemedicine may be enhanced by promoting access to primary care, sustaining payment for primary care telemedicine, addressing barriers in nonmetropolitan practices, and designing for lower health-literacy populations.

Perceptions and knowledge of COVID-19 vaccine safety and efficacy among vaccinated and non-vaccinated obstetric healthcare workers.

The COVID-19 vaccines are highly effective in preventing COVID-19 illness; however, pregnant people were not included in the original COVID-19 vaccine trials, with resultant conflicting recommendations from health organizations regarding vaccinations for this high-risk population. Pregnant and lactating healthcare workers (HCWs), along with people planning a pregnancy, identified as "obstetric HCWs" in our study, were among the first to make decisions regarding vaccinating themselves against COVID-19. Given that HCWs are key sources of information and access to vaccinations, this study was conducted to understand the perceptions and knowledge of obstetric HCWs regarding the COVID-19 vaccine. An electronic survey to HCWs at a tertiary care institution in Pittsburgh, PA identified 83 obstetric HCWs, of which 65 (78.3%) received at least one dose of the either the Pfizer or Moderna COVID-19 vaccine, and 18 (21.7%) had not received any doses of vaccine. Pregnancy status influenced more people not to receive than to receive the vaccine. We found that both vaccinated and non-vaccinated obstetric HCWs had accurate knowledge regarding the COVID-19 vaccine. However, compared to non-vaccinated obstetric HCWs, vaccinated obstetric HCWs tended to endorse beliefs regarding herd immunity, believed they had a higher chance of acquiring COVID-19, and felt that the COVID-19 vaccine was safe for fetuses and people who were pregnant, lactating, breastfeeding, or planning a pregnancy. This study offers insight into obstetric individuals' perceptions and knowledge of the COVID-19 vaccine, and highlights areas where additional education and outreach may help obstetric individuals make informed decisions on receiving the COVID-19 vaccine.

The value of adherence information during clinical pharmaceutical trials.

BACKGROUND/AIMS: The quality of the evidence used to evaluate a drug's safety and efficacy depends, in part, on how well participants adhere to the prescribed drug-taking regime. There are multiple approaches to measure adherence in clinical trials, varying in their cost and accuracy. We demonstrate a method for evaluating the cost-effectiveness of common adherence monitoring methods, considering the costs and data quality for drugs that differ in how forgiving they are of nonadherence. METHODS: We propose a simulation approach to estimate the value of evidence about adherence, considering both costs of collection and potential errors in interpreting clinical trial results. We demonstrate the approach with a simulated clinical trial of nitrendipine, a common calcium channel blocker. We consider two trial designs, one using pretrial adherence to "enrich" the trial sample and one without an enrichment strategy. We use scenarios combining high and low values of two key properties of a clinical trial: participant adherence and drug forgiveness. RESULTS: Under the conditions of these simulations, the most cost-effective adherence monitoring approach depends on both trial participant adherence and drug forgiveness. For example, the enrichment strategy is not cost-effective for the base scenario (high forgiveness and high adherence), but is for other scenarios. We also estimate the effects of evaluable patient analysis, a controversial procedure that excludes nonadherent participants from the analyses, after a trial is completed. CONCLUSIONS: Our proposed approach can guide drug regulators and developers in designing efficient clinical trials and assessing the impact of nonadherence on trial results. It can identify cost-effective adherence-monitoring methods, given available knowledge about the methods, drug, and patients' expected adherence.

Using implementation science frameworks to translate and adapt a pregnancy app for an emerging Latino community.

BACKGROUND: Digital mobile health (mHealth) applications are a popular form of prenatal education and care delivery in the U.S.; yet there are few Spanish language options for native speakers. Furthermore, existing applications do not consider cultural differences and disparities in healthcare access, including those specific to emerging Latino communities. OBJECTIVE: To adapt and translate an English-language pregnancy mobile health app to meet the language and cultural needs of Spanish-speaking Latino immigrants living in the United States. METHODS: We use a multi-step process, grounded in implementation science frameworks, to adapt and translate the contents of an existing pregnancy app. Interviews with stakeholders (n = 12) who advocate for the needs of pregnant individuals in an emerging Latino community were used to identify domains of possible disparities in access to prenatal care. We then conducted semi-structured interviews with peripartum Spanish-speaking Latino users (n = 14) to understand their perspectives within those domains. We identified a list of topics to create educational material for the modified app and implemented a systematic translation approach to ensure that the new version was acceptable for immigrants from different countries in Latin America. RESULTS: The interviews with stakeholders revealed seven critical domains that need to be addressed in an adapted prenatal app: language and communication, financial concerns, social support, immigration status, cultural differences, healthcare navigation, and connection to population-specific community resources that offer Spanish language services. The interviews with peripartum Spanish-speaking Latino women informed how the existing content in the app could be adjusted or built upon to address these issues, including providing information on accessing care offered in their native language and community support. Finally, we used a systematic approach to translate the existing application and create new content. CONCLUSION: This work illustrates a process to adapt an mHealth pregnancy app to the needs of an emerging Latino community, by incorporating culturally sensitive Spanish language content while focusing on addressing existing health disparities.

A Framework for Femtech: Guiding Principles for Developing Digital Reproductive Health Tools in the United States.

The United States has abysmal reproductive health indices that, in part, reflect stark inequities experienced by people of color and those with preexisting medical conditions. The growth of "femtech," or technology-based solutions to women's health issues, in the public and private sectors is promising, yet these solutions are often geared toward health-literate, socioeconomically privileged, and/or relatively healthy white cis-women. In this viewpoint, we propose a set of guiding principles for building technologies that proactively identify and address these critical gaps in health care for people from socially and economically marginalized populations that are capable of pregnancy, as well as people with serious chronic medical conditions. These guiding principles require that such technologies: (1) include community stakeholders in the design, development, and deployment of the technology; (2) are grounded in person-centered frameworks; and (3) address health disparities as a strategy to advance health equity and improve health outcomes.

"How much desire should I have?": a qualitative study of low libido in postmenopausal women.

We conducted 15 interviews and 3 focus groups (total N = 36) among women 60 and older with low libido to better understand the role that it plays in their lives. Interviews and focus groups were led by facilitators using open-ended questions. A codebook was developed, then codes were assigned to all data. We identified three themes. First, women reported that sex was an important aspect of their lives. Second, women desired to know what was "normal" with regards to sexuality and aging. Third, women were distressed by low libido, concerned that it could have negative effects on romantic relationships and self-image.

Comprehensively addressing postpartum maternal health: a content and image review of commercially available mobile health apps.

BACKGROUND: The United States is currently facing a maternal morbidity and mortality crisis, with the highest rates of any resource-rich nation. In efforts to address this, new guidelines for postpartum care suggest that mobile health (mHealth) apps can help provide complementary clinical support for new mothers during the postpartum period. However, to date no study has evaluated the quality of existing mHealth tools targeted to this time period in terms of sufficiency of maternal health information, inclusivity of people of color, and app usability. METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were used to review the peripartum apps from the Apple and Google Play stores in either the Health/Fitness, Medical, or Education categories. Apps were evaluated for extent and quality of maternal health information and inclusivity of people of color using an a priori coding scheme. App usability was evaluated using the Mobile Application Rating Scale (MARS) score. RESULTS: Of the 301 apps from the Apple and Google Play stores, 25 met criteria for final evaluation. Of the 30 maternal health topics coded for, the median number addressed by apps was 19.5 (65%). Peripartum behaviors were more frequently addressed than peripartum outpatient care topics and peripartum acute health risks. The coverage of maternal health information and inclusivity of people of color in app imagery both correlated positively with the MARS usability score of the app. Only 8 apps (32%) portrayed greater than 24% images of people of color- the percent of non-white Americans according to 2019 census estimates. There was no correlation between MARS usability score and number of app users, as estimated by number of ratings for the app available on the app store. In addition, apps with evidence-based maternal health information had greater MARS engagement, information, and aesthetics scores. However, presence of evidence-based information did not correlate with greater numbers of app users. CONCLUSIONS: Current commercially available peripartum apps range widely in quality. Overall current app offerings generally do not provide adequate maternal health information and are not optimally accessible to the target users in terms of inclusivity of women of color or app usability. Apps delivering evidence-based information and more usable design are more likely to meet these standards but are not more likely to be downloaded by users.

Mobile Remote Monitoring of Intimate Partner Violence Among Pregnant Patients During the COVID-19 Shelter-In-Place Order: Quality Improvement Pilot Study.

BACKGROUND: Intimate partner violence (IPV) is one of the leading causes of pregnancy-related death. Prenatal health care providers can offer critical screening and support to pregnant people who experience IPV. During the COVID-19 shelter-in-place order, mobile apps may offer such people the opportunity to continue receiving screening and support services. OBJECTIVE: We aimed to examine cases of IPV that were reported on a prenatal care app before and during the implementation of COVID-19 shelter-in-place mandates. METHODS: The number of patients who underwent voluntary IPV screening and the incidence rate of IPV were determined by using a prenatal care app that was disseminated to patients from a single, large health care system. We compared the IPV screening frequencies and IPV incidence rates of patients who started using the app before the COVID-19 shelter-in-place order, to those of patients who started using the app during the shelter-in-place order. RESULTS: We found 552 patients who started using the app within 60 days prior to the enforcement of the shelter-in-place order, and 407 patients who used the app at the start of shelter-in-place enforcement until the order was lifted. The incidence rates of voluntary IPV screening for new app users during the two time periods were similar (before sheltering in place: 252/552, 46%; during sheltering in place: 163/407, 40%). The overall use of the IPV screening tool increased during the shelter-in-place order. A slight, nonsignificant increase in the incidence of physical, sexual, and psychological violence during the shelter-in-place order was found across all app users (P=.56). Notably, none of the patients who screened positively for IPV had mentions of IPV in their medical charts. CONCLUSIONS: App-based screening for IPV is feasible during times when in-person access to health care providers is limited. Our results suggest that the incidence of IPV slightly increased during the shelter-in-place order. App-based screening may also address the needs of those who are unwilling or unable to share their IPV experiences with their health care provider.

Competing demands in postpartum care: a national survey of U.S. providers' priorities and practice.

BACKGROUND: A new movement towards improved postpartum care calls for restructuring how that care is provided. As professional guidelines evolve, understanding how providers prioritize and practice postpartum care can offer insights about elements of care that may be currently performed more routinely than providers deem a priority to do so, as well as those that may warrant more routine practice. METHODS: We surveyed 600 randomly-sampled U.S. postpartum care providers about their priorities for and the frequency with which specific elements of care are provided, as well as the feasibility of remote delivery of postpartum care provision (i.e., telemedicine). RESULTS: The survey response rate was 43% across medical specialties. Providers reported an average of only 24.4 ± 11.7 min available to spend on the postpartum visit. Certain types of postpartum care were highly prioritized and routinely performed, such as depression screening. Yet, there were also noted discrepancies between prioritized and performed care, revealing competing demands on providers' time. For example, pelvic exams were performed more often than similarly prioritized care, whereas screening for intimate partner violence and substance use were performed less often than similarly-prioritized care. Certain types of care were identified as important that are not explicitly addressed by national practice guidelines (e.g. transitioning to parenthood). Approximately 25% of respondents regarded telemedicine as a feasible remote care delivery alternative to much of the care currently provided in-person. CONCLUSIONS: The time providers have available to offer comprehensive postpartum care is constrained. Understanding how certain elements of care may be competing with one another at a single postpartum visit highlights those elements of care, which may be currently underperformed, as well as those elements of care that may warrant evaluation for future inclusion in standard care. For some providers experiencing time constraints, complementary remote care represents a potentially viable approach to implementing recommendations for transitioning the traditional visit to a more frequent, ongoing postpartum care process. In calling for a new approach to postpartum care delivery, professional organizations should consider the practices and priorities of their constituency as they revise guidelines and shape future research about the value of specific postpartum services.

Inferring Sexually Transmitted Infection Risk From Attractiveness in Online Dating Among Adolescents and Young Adults: Exploratory Study.

BACKGROUND: Sexually transmitted infection (STI) rates are on the rise among adolescents and young adults in the United States. With the popularity of online dating, adolescents and young adults must increasingly rely on limited cues to make initial judgments about potential sexual partners, including judgments about STI risk. OBJECTIVE: This study aimed to assess whether in the context of online dating, an attractiveness heuristic would be used for STI risk assessment. We hypothesized that consistent with research on halo effects, decision makers would judge more attractive people to be less likely to have STIs. METHODS: In a survey experiment, we asked participants to determine which individual in each of 20 sets of paired photographs was enrolled in a personals website for people with publicly disclosed STIs. RESULTS: Despite financial incentives for accuracy and high levels of self-confidence in their judgments, participants performed no better than chance at identifying individuals with self-reported STIs. Contrary to our hypothesis, however, more attractive people were judged as being more likely to have an STI. This relationship appears to be mediated by inferences regarding the target individual's sexual behavior, with more attractive individuals considered to have more partners. CONCLUSIONS: On showing adolescents and young adults photographs offering no diagnostic information about STIs, they appeared to use attractiveness as a cue for sexual risk, which was mediated by the belief that attractive individuals have more sexual opportunities. Health care providers may wish to address this heuristic process among their adolescent patients in discussions about sexual health.

Parent Perspectives on Family-Centered Pediatric Electronic Consultations: Qualitative Study.

BACKGROUND: Electronic consultations, which use store-and-forward transfer of clinical information between a primary care physician and a specialist, improve access to specialty care. Adoption of electronic consultations is beginning in pediatric health care systems, but little is known about parent perspectives, informational needs, and preferences for interaction with this new model of care. OBJECTIVE: This study aimed to examine parent perspectives about electronic consultations, including perceived benefits and risks, anticipated informational needs, and preferences for parent engagement with electronic consultations. METHODS: We recruited caregivers of pediatric patients (aged 0-21 years) attending visits at an academic primary care center. Caregivers were eligible if their child had ever been referred for in-person specialty care. Caregivers participated in a semistructured interview about electronic consultations, including general perspectives, desired information, and preferences for parental engagement. Interviews were transcribed and qualitatively analyzed to identify parent perspectives on electronic consultations in general, information parents would like to receive about electronic consultations, and perspectives on opportunities to enhance parent engagement with electronic consultations. RESULTS: Interviewees (n=20) anticipated that electronic consultations would reduce the time burden of specialty care on families and that these had the potential to improve the integrity and availability of clinical information, but interviewees also expressed concern about data confidentiality. The most detailed information desired by interviewees about electronic consultations related to data security, including data confidentiality, availability, and integrity. Interviewees expressed concern that electronic consultations could exclude parents from their child's health care decisions. Interviewees saw value in the potential ability to track the consultation status or to participate in the consultation dialogue, but they were more ambivalent about the idea of read-only access to consultation documentation. CONCLUSIONS: Parents identified the potential risks and benefits of pediatric electronic consultations, with implications for communication with families about electronic consultations and for incorporation of features to enhance parent engagement.

The Hawthorne effect and energy awareness.

The feeling of being observed or merely participating in an experiment can affect individuals' behavior. Referred to as the Hawthorne effect, this inconsistently observed phenomenon can both provide insight into individuals' behavior and confound the interpretation of experimental manipulations. Here, we pursue both topics in examining how the Hawthorne effect emerges in a large field experiment focused on residential consumers' electricity use. These consumers received five postcards notifying, and then reminding, them of their participation in a study of household electricity use. We found evidence for a Hawthorne (study participation) effect, seen in a reduction of their electricity use--even though they received no information, instruction, or incentives to change. Responses to a follow-up survey suggested that the effect reflected heightened awareness of energy consumption. Consistent with that interpretation, the treatment effect vanished when the intervention ended.

Digital phenotyping of depression during pregnancy using self-report data.

BACKGROUND: Depression is a common pregnancy complication yet is often under-detected and, subsequently, undertreated. Data collected through mobile health tools may be used to support the identification of depression symptoms in pregnancy. METHODS: An observational cohort study of 2062 pregnancies collected self-reports of patient history, mood, pregnancy-specific symptoms, and written language using a prenatal support app. These app inputs were used to model depression risk in subsequent 30- and 60-day periods throughout pregnancy. A selective inference lasso modeling approach examined the individual and additive value of each type of patient-reported app input. RESULTS: Depression models ranged in predictive power (AUC value of 0.64-0.83), depending on the type of inputs. The most predictive model included personal history, daily mood, and acute pregnancy-related symptoms (e.g., severe vomiting, cramping). Across models, daily mood was the strongest indicator of depression symptoms in the following month. Models that retained natural language inputs typically improved predictive accuracy and offered insight into the lived context associated with experiencing depression. LIMITATIONS: Our findings are not generalizable beyond a digitally literate patient population that is self-motivated to report data during pregnancy. CONCLUSIONS: Simple patient reported data, including sparse language, shared directly via digital tools may support earlier depression symptom identification and a more nuanced understanding of depression context.

Parent Perceptions of Telemedicine for Acute Pediatric Respiratory Tract Infections: Sequential Mixed Methods Study.

BACKGROUND: Since 2020, parents have had increasing opportunities to use telemedicine for their children, but how parents decide whether to use telemedicine for acute pediatric care relative to alternative sites of care is not clear. One of the most common reasons parents seek acute care for their children is for acute respiratory tract infections (ARTIs). OBJECTIVE: This study aims to examine parental expectations of care via telemedicine for pediatric ARTIs, contrasting expectations of care delivered via primary care telemedicine and direct-to-consumer (DTC) telemedicine. METHODS: We performed a sequential mixed methods analysis to examine how parents assess telemedicine for their children's acute care. We used ARTIs as a case study for examining parent perceptions of telemedicine. First, we analyzed semistructured interviews focused on parent responses about the use of telemedicine. Each factor discussed by parents was coded to reflect whether parents indicated it incentivized or disincentivized their preferences for telemedicine versus in-person care. Results were organized by a 7-dimension framework of parental health care seeking that was generated previously, which included dimensions related to care sites (expected access, affordability, clinical quality, and site quality) and dimensions related to child or family factors (perceived illness severity, perceived child susceptibility, and parent self-efficacy). Second, we analyzed responses to a national survey, which inquired about parental expectations of primary care telemedicine, commercial DTC telemedicine, and 3 in-person sites of care (primary care, urgent care, and emergency department) across 21 factors identified through prior qualitative work. To assess whether parents had different expectations of different telemedicine models, we compared survey responses for primary care telemedicine and commercial DTC telemedicine using weighted logistic regression. RESULTS: Interview participants (n=40) described factors affecting their perceptions of telemedicine as a care modality for pediatric ARTIs. Generally, factors aligned with access and affordability (eg, decreased wait time and lower out-of-pocket cost) were discussed as potential incentives for telemedicine use, while factors aligned with perceived illness severity, child susceptibility, and clinician quality (eg, trustworthiness) were discussed as potential disincentives for telemedicine use. In survey responses (n=1206), primary care and commercial DTC telemedicine were rated similarly on items related to expected accessibility and affordability. In contrast, on items related to expected quality of care, primary care telemedicine was viewed similarly to in-person primary care, while commercial DTC telemedicine was rated lower. For example, 69.7% (weighted; 842/1197) of respondents anticipated their children would be comfortable and cooperative with primary care telemedicine versus 49.7% (weighted; 584/1193) with commercial DTC telemedicine (P<.001). CONCLUSIONS: In a mixed methods analysis focused on telemedicine for ARTIs, parents expressed more concerns about telemedicine quality in commercial DTC models compared with primary care-based telemedicine. These results could help health systems better design telemedicine initiatives to support family-centered care.

Benefits, Harms, and Stakeholder Perspectives Regarding Opioid Therapy for Pain in Individuals With Metastatic Cancer: Protocol for a Descriptive Cohort Study.

BACKGROUND: Opioids are a key component of pain management among patients with metastatic cancer pain. However, the evidence base available to guide opioid-related decision-making in individuals with advanced cancer is limited. Patients with advanced cancer or cancer that is unlikely to be cured frequently experience pain. Opioids are a key component of pain management among patients with metastatic cancer pain. Many individuals with advanced cancer are now living long enough to experience opioid-related harm. Emerging evidence from chronic noncancer pain literature suggests that longer-term opioid therapy may have limited benefits for pain and function, and opioid-related harms are also a major concern. However, whether these benefits and harms of opioids apply to patients with cancer-related pain is unknown. OBJECTIVE: This manuscript outlines the protocol for the "Opioid Therapy for Pain in Individuals With Metastatic Cancer: The Benefits, Harms, and Stakeholder Perspectives (BEST) Study." The study aims to better understand opioid decision-making in patients with advanced cancer, along with opioid benefits and harms, through prospective examination of patients' pain experiences and opioid side effects and understanding the decision-making by patients, care partners, and clinicians. METHODS: This is a multicenter, prospective cohort study that aims to enroll 630 patients with advanced cancer, 20 care partners, and 20 clinicians (670 total participants). Patient participants must have an advanced solid cancer diagnosis, defined by the American Cancer Society as cancer that is unlikely to be cured. We will recruit patient participants within 12 weeks after diagnosis so that we can understand opioid benefits, harms, and perspectives on opioid decision-making throughout the course of their advanced cancer (up to 2 years). We will also specifically elicit information regarding long-term opioid use (ie, opioids for ≥90 consecutive days) and exclude patients on long-term opioid therapy before an advanced cancer diagnosis. Lived-experience perspectives related to opioid use in those with advanced cancer will be captured by qualitative interviews with a subset of patients, clinicians, and care partners. Our data collection will be grounded in a behavioral decision research approach that will allow us to develop future interventions to inform opioid-related decision-making for patients with metastatic cancer. RESULTS: Data collection began in October 2022 and is anticipated to end by November 2024. CONCLUSIONS: Upon successful execution of our study protocol, we anticipate the development of a comprehensive evidence base on opioid therapy in individuals with advanced cancer guided by the behavioral decision research framework. The information gained from this study will be used to guide interventions to facilitate opioid decisions among patients, clinicians, and care partners. Given the limited evidence base about opioid therapy in people with cancer, we envision this study will have significant real-world implications for cancer-related pain management and opioid-related clinical decision-making. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54953.