Implementation of a women’s reproductive behavioral health telemedicine program: a qualitative study of barriers and facilitators in obstetric and pediatric clinics
BMC Pregnancy and Childbirth volume 23, Article number: 167 (2023)
Perinatal Mood and Anxiety Disorders and Substance Use Disorders are common and result in significant morbidities and mortality. Despite evidence-based treatment availability, multiple barriers exist to care delivery. Because telemedicine offers opportunities to overcome these barriers, the objective of this study was to characterize barriers and facilitators to implementing a mental health and substance use disorder telemedicine program in community obstetric and pediatric clinics.
Interviews and site surveys were completed with practices engaged in a Women’s Reproductive Behavioral Health Telemedicine program (N = 6 sites; 18 participants) at the Medical University of South Carolina and telemedicine providers involved in care delivery (N = 4). Using a structured interview guide based on implementation science principles, we assessed program implementation experiences and perceived barriers and facilitators to implementation. A template analysis approach was used to analyze qualitative data within and across groups.
The primary program facilitator was service demand driven by the lack of available maternal mental health and substance use disorder services. Strong commitment to the importance of addressing these health concerns provided a foundation for successful program implementation yet practical challenges such as staffing, space, and technology support were notable barriers. Services were supported by establishing good teamwork within the clinic and with the telemedicine team.
Capitalizing on clinics’ commitment to care for women’s needs and a high demand for mental health and substance use disorder services while also addressing resource and technology needs will facilitate telemedicine program success. Study results may have implications for potential marketing, onboarding and monitoring implementation strategies to support clinics engaging in telemedicine programs.
Perinatal Mood and Anxiety Disorders (PMAD) and Perinatal Substance Use Disorders (PSUD) are common and carry significant morbidity and mortality for women and children. Estimates vary but approximately 16–25% of women will experience PMAD  during pregnancy or in the postpartum year. Also, 9–14%  of women will use harmful substances during pregnancy. The majority of women with PSUDs will abstain from substance use in pregnancy, but 80% will relapse postpartum, increasing their risk for overdose and death . Recent data suggest that suicide and drug overdose combine to constitute the leading cause of maternal mortality during the postnatal period [4,5,6,7,8]. PMAD and PSUD increase these risks [5, 9, 10] and are associated with significant maternal and child morbidity [11,12,13,14,15,16,17].
Fortunately, treatments such as evidence-based psychotherapy and medication are effective in reducing the maternal and child morbidity and mortality associated with PMADs and PSUDs [17, 18]. However, the vast majority of women do not receive treatment due to barriers to care. Common barriers include lack of transportation or childcare necessary to obtain treatment as well as insufficient availability of specialty providers and lack of timely access to services. Furthermore, women often refuse treatment in psychiatric settings due to the stigma associated with mental illness and substance use [19, 20].
Delivering treatment for PMAD and PSUD to pregnant and postpartum women in obstetric and pediatric practices via telemedicine is one potential solution to overcoming barriers and increasing access to treatment for women. However, telemedicine service delivery can pose an additional set of implementation challenges including the need for dedicated space, equipment and staff to assist with telemedicine visits in community clinics. Using qualitative methods, the objective of this study was to characterize the barriers and facilitators to implementing a telemedicine program for the treatment of PMADs and PSUDs in obstetric and pediatric providers in the outpatient community practice setting.
The Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist was used to guide methods and reporting . Qualitative methods were selected for an in-depth exploration of telemedicine experiences in the Women’s Reproductive Behavioral Health Telemedicine (WRBT) program at the Medical University of South Carolina (MUSC). The WRBT was developed at MUSC in 2016 to offer mental health and substance use disorder telemedicine services to community obstetric and pediatric practices. The WRBT Medical Director at MUSC established relationships with clinics through outreach in South Carolina. Protocols were developed for setting up programs in community clinics to deliver mental health and substance use disorder telemedicine services to community clinics’ patients. No formal readiness assessment was conducted with participants and clinics employed their own strategies for identifying and screening patients through clinical care. Referral processes were also set up between the clinics and MUSC to schedule and complete appointments. All telemedicine visits were conducted on-site at the community clinic. All patients were initially evaluated by a psychiatrist; a treatment plan was created in collaboration with the patients with evidence-based therapy such as Cognitive Behavioral Therapy or Interpersonal Psychotherapy and medication management if appropriate. In accordance with the Ryan Haight Act , patients requiring a prescription for a controlled substance such as buprenorphine were seen in person first per federal and state requirements for prescribing controlled substances via telemedicine.
Six practices were selected for this study based on their geographic location, lack of access to services and variability in the number of telemedicine referrals completed. Data were collected from July 2019 to February 2020. The Medical University of South Carolina’s Institutional Review Board approved this study and granted a waiver of written informed consent [Pro # 00086783]. Verbal consent was secured and participants received a $10 giftcard.
The Exploration, Preparation, Implementation, Sustainment (EPIS) framework was used to guide this study [23, 24]. This implementation framework highlights a comprehensive set of factors that may influence implementation including inner context, outer context, bridging and innovation factors. In this study, potential inner context factors included influences internal to the clinic (e.g., leadership) while potential outer context factors included influences external to the clinic (e.g., professional guidelines). Finally, other influences that link inner and outer context factors (bridging factors) and characteristics of the telemedicine program itself (innovation factors) were considered.
Recruitment and data collection
Each selected WRBT clinic’s practice manager was contacted by email and phone to discuss the study. All practices contacted were willing to enroll and the practice manager completed an online survey to assess practice characteristics (e.g., practice type, number of providers, demographic characteristics of patients) and telemedicine referrals (completed, cancelled, no-shows). Additionally, practice managers selected clinic team members currently involved in and most knowledgeable about the telemedicine program to participate in online discussion groups or interviews based on preference and availability. Online groups were conducted over Zoom with video and audio for convenience in the busy clinical setting. Finally, the MUSC clinicians and staff from the WBRT program (referred to below as the WRBT telemedicine team) completed in-person discussion groups on-site at the academic medical center.
Two female interviewers (KS, EJ) with doctoral-level training in qualitative methods moderated discussion groups using a structured interview guide informed by EPIS (Table 1). Interviewers were not involved in the telemedicine program and did not know participants. One investigator moderated discussions while the second investigator took field notes, making observations about respondent comments and body language. Each clinic had audio and video capability and all communication was verbal (i.e., no chat functions were used). Discussion groups were audio-taped and field notes were taken to inventory emerging themes and observations. Interviews lasted 20–55 min and were conducted until saturation was achieved [25, 26].
A combined inductive-deductive template analysis approach [27, 28] within N-Vivo software  was used with an initial codebook guided by the EPIS framework [23, 24]. Two analysts read and re-read each transcript and tested the codebook with an initial set of interviews until consensus was achieved in code definitions and interpretation. The final codebook was applied to the full set of interviews and themes were examined within and across clinic and telemedicine team perspectives.
Five online discussion groups and 1 online interview were conducted with obstetrics (n = 4) and pediatric (n = 2) practices (N = 6 discussions with 18 overall participants; see Table 2 for number of participants in each discussion; range 1–6). Clinics had varied start dates for the WRBT program from 2016 to 2019 but all participants were currently involved in the WRBT program at the time of the focus group or interview so able to share their recent experiences. The majority of clinics (n = 4) were located in rural areas, yet varied widely with respect to staffing and patient characteristics (Table 2). Clinics commonly provided care for patients who were racially diverse (35–100% African American) and covered by Medicaid (> 50%). Telemedicine encounters and status in the previous 3 months varied by clinic (0-191) (Table 2).
A set of 2 in-person discussion groups were conducted with the MUSC WRBT telemedicine team; two sessions were required to allow adequate time for discussion of the telemedicine program at each participating clinic from the perspective of the team delivering the program. Participants included two Reproductive Psychiatrists who provided direct patient care, the Telemedicine Medical Director who assisted with site-set-up and a Clinical Program Coordinator who served as the site liaison to facilitate ongoing site-to-site communication and service coordination (N = 4; same participants included in each discussion group). All participants were female and the average time in the telemedicine program was 3.25 years (range 2–4).
Barriers and facilitators to program implementation
As displayed in Fig. 1, unique themes were identified addressing barriers and facilitators to telemedicine service delivery. A single primary outer context factor was identified along with 7 inner context factors and one bridging factor related to the operational style of the telemedicine program. Identified themes were consistent across PMAD and PSUD care programs. Below themes are summarized and definitions and illustrative quotes are provided in Table 3.
Service Demand: Outer Context
Participants from clinics and the WRBT telemedicine team described that service demand for women’s mental health and substance use disorder treatment was high in rural areas and this acted as a primary facilitator of clinic interest in and willingness to implement the program. All participants described the urgent need for mental health and substance use disorder care in clinic locations as patients lacked access to specialists. While the majority of clinics had mental health screening protocols in place for pregnant and postpartum patients, and obstetrics clinics often also screened for substance use, limited access was available to counselors and treatment as follow-up. Patients needing services therefore had lengthy wait times and often also lacked transportation to specialists. In addition, teams from pediatric practices specifically noted additional complexities with referrals because mothers were technically not their primary patients and best practices for referrals were unclear. Thus, the demand for the telemedicine program was high and valued due to its ability to reduce obstacles to care for their high-risk patients.
Structure: Inner Context
Obstetric and pediatric practices brought varied structural characteristics to the WRBT program. Clinics differed in size, number of providers and location, and the telemedicine team described that these factors either promoted or hindered the clinic’s capacity to complete telemedicine steps. Specifically, high patient volumes and limited staffing acted as barriers that deterred telemedicine program adoption. However, many clinics already had pre-existing processes in place for screening women at designated timelines for mental health and substance use challenges that could be adopted to identify potential referrals for the telemedicine program. In addition, clinics with previous telemedicine experience in other areas (e.g., genetics) described comfort with referral processes and management of appointments for the new program.
Change Readiness: Inner Context
As described in the Methods section, no formal readiness assessment was conducted with clinics as they joined the program yet participants described that clinic commitment and preparedness to take on the program varied. When readiness was described as high, team members did not hesitate and began making appropriate referrals. In contrast, when readiness was lacking, the WRBT telemedicine team described the need for education regarding the importance of managing mental health and substance use in pregnancy and capitalizing on the infrastructure in place with reminders and additional support to get started.
Culture: Inner Context
While the majority of clinics described a clear commitment to caring for women’s well-being that guided their practices, despite these common norms and values across clinics, the telemedicine team uniquely highlighted a practice-wide resistance to addressing mental health and substance use disorder in some clinics. The telemedicine team described that this resistance existed either because clinics did not consider mental health and substance use as problems in their patients or instead because this was not their responsibility. The telemedicine team confirmed that this resistance was a persistent challenge in some clinics as they attempted to implement the program. In fact, one clinic continued to send patients to the academic medical center for mental health care even when the telemedicine program was available on-site in this clinic.
Resources: Inner Context
Resources clinics devoted to the telemedicine program varied and impacted program delivery. Critical program resources included dedicated space and staffing and deficits in these areas impacted abilities to carry out the WRBT program. In clinics lacking a designated space for telemedicine visits, participants described the challenge to accommodate visits within current busy schedules. Likewise, having a dedicated staff member to oversee the telemedicine program appeared to facilitate program productivity. A specific need was highlighted for information technology (IT) staff to help troubleshoot technology or connection issues and when this was lacking on-site, this was frustrating for clinic and telemedicine staff. The WRBT telemedicine team also perceived that some clinics had or made time to prioritize the program and integrate it into existing workflow, but others were overwhelmed with competing demands and lacked resources to facilitate efficient implementation of the program. A recommendation for improving feasibility of the program integration and referral process included streamlining the registration process so patients could complete paperwork during the initial in-person clinic visit.
Leadership: Inner Context
Only the WRBT telemedicine team described leadership within the clinic as key to program implementation. They believed that program implementation went smoothly when one enthusiastic leader emerged naturally and helped disseminate program details, engage others in the practice and facilitate completion of planning, set-up and scheduling steps. In contrast, those clinics that lacked a solid WRBT program leader tended to lack productivity in scheduling and completing visits or were on a slower overall timeline for program implementation. In some cases, even when an enthusiastic clinician was clearly identified, this did not result in successful implementation if follow-through or detailed planning to fit the program into clinic workflow was lacking.
Teamwork: Inner Context
Teamwork among clinic providers and staff was endorsed as important but just from the perspective of the WRBT telemedicine team. They reported that teamwork was often lacking in clinics that struggled with implementation. Specifically, when clinic teams were well coordinated around the technology and program workflow, they functioned better. Strategies that appeared to build teamwork included taking time to bring staff together to complete training, ensuring all team members were knowledgeable about program delivery steps and troubleshooting missed steps and challenges encountered.
Attitudes: Inner Context
As telemedicine programs were implemented, positive attitudes about the program in team members appeared to play a role in promoting the program. This was evident most prominently when clinic team members described the program as a valuable resource that met their patients’ needs due to their deep commitment to supporting mental health and substance use challenges. Positive attitudes were also evident when clinic teams highlighted the convenience and feasibility of the program. In addition, a pediatrics office disclosed that they while were initially concerned about ongoing responsibility for mothers who were referred to the program, with an increased understanding of program logistics and understanding that their primary responsibility was to identify women and submit referrals, their concerns diminished.
Clinic and WRBT telemedicine team participants also reported that patients were uniformly satisfied with the program and appreciated the ability to acquire appointments quickly and conveniently. A few clinics described positive attitudes about the program after observing the improvement in patient outcomes when women received telemedicine services. These improvements included clinical outcomes (depression, substance use) as well as overall well-being. One pediatric clinic specifically explained the positive effects of mental health treatment for mothers and its impact on interactions with their infants.
Telemedicine Team-Clinic Partnership: Bridging Factor
The partnerships established between the WRBT telemedicine team and clinics varied with some practices working closely with the telemedicine team in a fluid manner and others never establishing trusted relationships. The telemedicine team described that it was critical to build relationships with clinic stakeholders to facilitate understanding of the service and build enthusiasm for the program and its potential benefits. The telemedicine team also outlined the ideal plan for connecting with the full clinic team involved in program delivery but often expressed challenges in completing these steps due to scheduling concerns along with their own staffing shortages to travel and support on-site education. Education was centered on enhancing clinic understanding of workflows to screen, refer and schedule patients. Some clinics described the need for reminders and patient-facing materials.
When strong partnerships were built, clinics described positive communication practices and that it was easy to contact the telemedicine team and access resources from them. The telemedicine team appreciated a flexible approach during ongoing program operations. However, they also described that they did not connect with all clinics in this way. They struggled in developing productive implementation processes in some clinics due to the lack of time and resources at these sites.
To our knowledge, this is the first study to describe barriers and facilitators to implementation of a telemedicine service in obstetric and pediatric clinics for the treatment of PMADs and PSUDs in pregnant and postpartum women. The findings mirror a number of the barriers and facilitators identified in the delivery of telemedicine care in general and in community health centers, highlighting cost, technology, staffing and workflow issues [30, 31]. However, the current study uses an implementation science framework to offer insight into additional contextual and bridging factors and focused on a unique telemedicine service for pregnant women in rural settings for PMAD and PSUD care. Of interest, barriers were common across clinics and across care for PMAD and PSUD, regardless of the amount of time in the program and referral completion rates.
This study demonstrates that the primary program facilitator was demand for services, which was driven by a lack of available or accessible maternal mental health and substance use disorder services for pregnant and postpartum women. Other key facilitators, consistent with existing literature, included the need for infrastructure to support the service including dedicated space, equipment, IT support and staff to facilitate patient scheduling and visits [30, 31]. While different models of program leadership and staffing for the program existed, clinic providers that recognized the importance of addressing maternal mental health and substance use issues were well poised to adopt the telemedicine services quickly and willing to overcome logistical hurdles and other implementation challenges. Telemedicine services appear to be sustained by creating an easy workflow for providers, staff and patients to access services as well as recognizing the benefits that patients received from treatment. Services were further supported by establishing positive reciprocal relationships and communication with the telemedicine team and the clinic staff members who helped facilitate the service. These relationships were not possible in clinics where the service was a low priority and staff turnover was high.
Study results may have implications for potential implementation strategies such as marketing, onboarding and monitoring approaches to support clinics engaging in a telemedicine program for PMADs and PSUDs [32,33,34]. For example, because service demand was identified as an important driver for program implementation and because clinics highlighted a strong commitment to caring for women’s needs, marketing strategies could centrally emphasize these program benefits and share examples of program-related clinical outcomes. Also, as multiple practical factors were described as influential to implementation such as the structure of the clinic, staffing models and resources available to devote to the program and because these factors varied in clinics, it may be beneficial to administer a needs assessment in the planning stage to identify and address potential clinic gaps and evaluate program feasibility. Finally, as results showed that readiness and teamwork differed across clinics, more research is needed to consider the potential benefits of systematic approaches to prepare clinic teams, identify program champions and trouble-shoot practical challenges to build sustainable programs. Notably only telemedicine team participants emphasized themes of leadership, culture and teamwork as key to successful program implementation. Therefore, it may be beneficial to proactively emphasize these facilitators in program training and planning steps.
Strengths and limitations
While the strengths of this study included the use of qualitative methods guided by a validated implementation science framework to allow an in-depth exploration of implementation experiences, there are limitations to consider. The study was modest in size with 6 practices and only 1–6 participants per clinic. Even though we used rigorous interviewing techniques and selected participants based on their role in the telemedicine program, this may not reflect the full range of experiences and perceptions at sites as a whole. Also, this study captured clinics at one timepoint and therefore does not capture the dynamics of implementation over time. We chose to conduct online discussion groups with clinics for convenience and this mode may have impacted the level of rapport we were able to build with participants. Finally, as the telemedicine programs launched the WRBT program at different timepoints, this may have impacted participant recall of important start-up implementation processes. Specifically, participants may have had trouble remembering early planning meetings and barriers and facilitators of that process; therefore future prospective methods may supplement our findings by assessing barriers and facilitators over the course of program implementation.
Access to maternal mental health and substance use disorder treatment for pregnant and postpartum women is paramount in reducing the alarmingly high rates of PMADs and PSUDs and the associated morbidity and mortality associated with these untreated conditions. The use of telemedicine to achieve this end is feasible, acceptable to women and effective in reducing mental health symptoms and substance use [35, 36, 37]. However, there are barriers to implementation of telemedicine services in practice. This study demonstrates and describes these barriers and also highlights facilitators that can strengthen program implementation success. Capitalizing on clinics’ strong commitment to caring for women’s needs, addressing barriers to mental health and substance use disorder and navigating practical resource and IT needs will facilitate program success. Future longitudinal research to better understand the dynamics of telemedicine delivery experiences over time will add to a better understanding of needed implementation strategies to enhance the reach and impact of these programs.
The datasets generated and/or analysed during the current study are not publicly available due to confidentiality concerns but de-identified data are available from the corresponding author on reasonable request.
The peer review history is available as Supplementary file 1.
Exploration, Preparation, Implementation, Sustainment
Medical University of South Carolina
Perinatal Mood and Anxiety Disorders
Perinatal Substance Use Disorders
Women’s Reproductive Behavioral Health Telemedicine
Luca DL, Margiotta C, Staatz C, Garlow E, Christensen A, Zivin K. Financial toll of untreated perinatal mood and anxiety disorders among 2017 births in the United States. Am J Public Health. 2020;110:888–96.
U.S. Department of Health and Human Services Substance Abuse and Mental Health Services Administration. Center for behavioral Health Statistics and Quality: National survey on drug use and health 2019. NSDUH; 2020.
Forray A, Merry B, Lin H, Ruger JP, Yonkers KA. Perinatal substance use: a prospective evaluation of abstinence and relapse. Drug Alcohol Depend. 2015;150:147–55.
Goldman-Mellor S, Margerison CE. Maternal drug-related death and suicide are leading causes of postpartum death in California. Am J Obstet Gynecol. 2019;221:489e1–e9.
Mangla K, Hoffman MC, Trumpff C, O’Grady S, Monk C. Maternal self-harm deaths: an unrecognized and preventable outcome. Am J Obstet Gynecol. 2019;221:295–303.
Mangla K, Hoffman MC, Trumpff C, O’Grady S, Monk C. Deaths from unintentional injury, homicide, and suicide during or within 1 year of pregnancy in Philadelphia. Am J Public Health. 2016;106:2208–10.
Metz TD, Rovner P, Hoffman MC, Allshouse AA, Beckwith KM, Binswanger IA. Maternal deaths from suicide and overdose in Colorado, 2004–2012. Obstet Gynecol. 2016;128:1233–40.
Wallace ME, Hoyert D, Williams C, Mendola P. Pregnancy-associated homicide and suicide in 37 US states with enhanced pregnancy surveillance. Am J Obstet Gynecol. 2016;215:364e1. e10.
Davis N, Smoots A, Goodman D. Pregnancy-related deaths: Data from 14 U.S. maternal mortality review committees, 2008–2017. Edited by Centers for Disease Control and Prevention. 2019; Department of Health and Human Services.
National Quality Forum. Maternal morbidity and mortality environmental scan, 2020.
Britton HL, Gronwaldt V, Britton JR. Maternal postpartum behaviors and mother-infant relationship during the first year of life. J Pediatr. 2001;138:905–9.
Deave T, Heron J, Evans J, Emond A. The impact of maternal depression in pregnancy on early child development. BJOG. 2008;115:1043–51.
Gentile S. Untreated depression during pregnancy: short- and long-term effects in offspring. A systematic review. Neuroscience. 2017;342:154–66.
Grote NK, Bridge JA, Gavin AR, Melville JL, Iyengar S, Katon WJ. A meta-analysis of depression during pregnancy and the risk of preterm birth, low birth weight, and intrauterine growth restriction. Arch Gen Psychiatry. 2010;67:1012–24.
Paulson JF, Keefe HA, Leiferman JA. Early parental depression and child language development. J Child Psychol Psychiatry. 2009;50:254–62.
Vesga-Lopez O, Blanco C, Keyes K, Olfson M, Grant BF, Hasin DS. Psychiatric disorders in pregnant and postpartum women in the United States. Arch Gen Psychiatry. 2008;65:805–15.
Weissman MM. Postpartum depression and its long-term impact on children: many new questions. JAMA Psychiatry. 2018;75:227–8.
Wisner KL, Sit DK, McShea MC, Rizzo DM, Zoretich RA, Hughes CL, Eng HF, Luther JF, Wisniewski SR, Costantino ML, Confer AL, Moses-Kolko EL, Famy CS, Hanusa BH. Onset timing, thoughts of self-harm, and diagnoses in postpartum women with screen-positive depression findings. JAMA Psychiatry. 2013;70:490–8.
Kingston D, McDonald S, Tough S, Austin MP, Hegadoren K, Lasiuk G. Public views of acceptability of perinatal mental health screening and treatment preference: a population based survey. BMC Pregnancy Childbirth. 2014;14:67.
O’Hara MW, McCabe JE. Postpartum depression: current status and future directions. Annu Rev Clin Psychol. 2013;9:379–407.
Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19:349–57.
Implementation of the Ryan Haight Online Pharmacy Consumer Protection Act of 2008. DEA and Department of Justice. Federal Register, Vol 74 (64) Monday April 6, 2009. Rules and Regulations.
Aarons GA, Hurlburt M, Horwitz SM. Advancing a conceptual model of evidence-based practice implementation in public service sectors. Adm Policy Ment Health. 2011;38:4–23.
Moullin JC, Dickson KS, Stadnick NA, Rabin B, Aarons GA. Systematic review of the Exploration, Preparation, implementation, sustainment (EPIS) framework. Implement Sci. 2019;14(1):1.
Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Family Health International. 2006;18:59–82.
Saunders B, Sim J, Kingston T, Baker S, Waterfield J, Bartlam B, Burroughs H, Jinks C. Saturation in qualitative research: exploring its conceptualization and operationalization. Qual Quant. 2018;52:1893–907.
Brooks J, McCluskey S, Turley E, King N. The utility of template analysis in qualitative psychology research. Qualitative Res Psychol. 2015;12:202–22.
Crabtree B, Miller W. Using codes and code manuals: a template organizing style of interpretation. Newbury Park, CA: Sage; 1999.
NVivo S. NVivo qualitative Software. QSR International; 2016.
Ching-Ching CL, Dievler A, Robbins C, Sripipatana A, Quinn M, Nair S. Telehealth In Health Centers: key adoption factors, barriers, and Opportunities. Health Aff. 2021;37(12):1967–74.
Zhang T, Mosier J, Subbian V. Identifying barriers to and opportunities for telehealth Implementation amidst the COVID-19 pandemic by using a human factors approach: A leap into the future of health care delivery? JMIR Hum Factors. 2021; Apr-Jun; 8(2):e24860.
Powell B, McMillen J, Proctor E, Carpenter C, Griffey R, Bunger A, Glass J, York J. A compilation of strategies for implementing clinical innovations in health and mental health. Med Care Res. 2012;69:123–57.
Powell B, Waltz T, Chinman M, Damschroder L, Smith J, Matthieu M, Proctor E, Kirchner J. A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project.Implement Sci. 2015;10.
Powell BJ, Beidas RS, Lewis CC, Aarons GA, McMillen JC, Proctor EK, Mandell DS. Methods to improve the selection and tailoring of implementation strategies. J Behav Health Serv Res. 2017;44:177–94.
Powell BJ, Beidas RS, Lewis CC, Aarons GA, McMillen JC, Proctor EK, Mandell DS. A collaborative care telemedicine intervention to overcome treatment barriers for Latina women with depression during the perinatal period. Fam Syst Health. 2012;30:224–40.
Guille C, Simpson AN, Douglas E, Boyars L, Cristaldi K, McElligott J, Johnson D, Brady K. Treatment of opioid use disorder in pregnant women via telemedicine: a nonrandomized controlled trial. JAMA Netw Open. 2020;3(1):e1920177.
Nair U, Armfield NR, Chatfield MD, Edirippulige S. The effectiveness of telemedicine interventions to address maternal depression: a systematic review and meta-analysis. J Telemed Telecare. 2018;24:639–50.
Health Resources and Services Administration. Rural health grants eligibility analyzer https://data.hrsa.gov/tools/rural-health Accessed 06/01/2021.
This study was funded by Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of the National Telehealth Center of Excellence Award (U66 RH31458). The contents are those of the authors and do not necessarily represent the official views of, nor an endorsement, by HRSA or the U.S. Government. All funding sources did not have a role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Conflicts of interest/Competing interests
The authors have no relevant financial or non-financial conflicts of interest to disclose.
Ethical approval and consent to participate
All study methods were carried out in accordance with the Declaration of Helsinki. The Medical of University of South Carolina’s Institutional Review Board approved this study [Pro # 00086783]. The need for informed consent was waived by the ethics committee and Institutional Review Board at the Medical University of South Carolina. A Statement of Research was reviewed with participants who provided verbal consent prior to beginning any study related activities.
Consent for publication
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Peer review report.
About this article
Cite this article
Sterba, K.R., Johnson, E.E., Douglas, E. et al. Implementation of a women’s reproductive behavioral health telemedicine program: a qualitative study of barriers and facilitators in obstetric and pediatric clinics. BMC Pregnancy Childbirth 23, 167 (2023). https://doi.org/10.1186/s12884-023-05463-2
- Telemedicine; perinatal mental health
- Perinatal substance use disorder
- Implementation science