The study took place at the Midwife-Obstetric Unit (MOU) at the Gugulethu Community Health Centre in Cape Town, South Africa. The MOU sees >4000 women annually for primary care antenatal, obstetric, and postpartum services. The service is operated by nurse-midwives with obstetrician support twice weekly on site and through referral to a secondary-level obstetric hospital. The local antenatal HIV prevalence is high (∼26%), and the MTCT rate is estimated at 2%–4% based on HIV-exposed infant HIV polymerase chain reaction testing at 6 weeks. PMTCT services have been offered at the Gugulethu MOU since 2001, with ART integrated into PMTCT services since 2012.
>
Living Beings
>
Professional or Occupational Group
>
Nurse Midwife
Nurse Midwife
Nurse Midwives are advanced practice registered nurses who provide primary care to women, including prenatal, intrapartum, postpartum, and gynecological care.
They collaborate with obstetricians and other healthcare providers to ensure comprehensive, patient-centered care throughout the childbearing process.
Nurse Midwives use evidence-based practices to promote healthy pregnancies, deliveries, and postpartum recoveries, while also addressing the unique needs and preferences of each individual patient.
Their expertise in normal physiologic birth, combined with their nursing background, enables Nurse Midwives to offer a holistic, empowering approach to women's healthcare.
Experiance the difference today!
They collaborate with obstetricians and other healthcare providers to ensure comprehensive, patient-centered care throughout the childbearing process.
Nurse Midwives use evidence-based practices to promote healthy pregnancies, deliveries, and postpartum recoveries, while also addressing the unique needs and preferences of each individual patient.
Their expertise in normal physiologic birth, combined with their nursing background, enables Nurse Midwives to offer a holistic, empowering approach to women's healthcare.
Experiance the difference today!
Most cited protocols related to «Nurse Midwife»
Care, Prenatal
Infant
Midwife
Nurse Midwife
Obstetrician
Polymerase Chain Reaction
Primary Health Care
Vision
Woman
There are two dependent variables both defined as three-category ordered variables: timing of first ANC visit and type of delivery assistance, derived from the following questions: "How many months pregnant were you when you first received antenatal care for this pregnancy?" and "Who assisted with the delivery of (NAME OF CHILD)?" The World Health Organization (WHO) recommends that for the majority of normal pregnancies, ANC should consist of at least four visits during the course of the pregnancy, the first of which should occur within the first trimester [28 (link)]. Timing of first ANC visit was thus recoded as "None" for those who did not receive ANC at all; "Late" when the visit took place during the second or third trimester, and "Early" when it occurred during the first trimester. Type of delivery assistance was recoded into three categories: "None" for no assistance, assistance from relatives or others without professional skills; "TBA" for assistance from traditional birth attendants (TBA); and "Skilled professional" for assistance from either a doctor or a nurse/midwife.
Based on previous studies on the use of maternal services, the independent variables used in this study include education (coded as none, primary and secondary/higher); household wealth; urban-rural residence; and ethnicity [9 (link),25 (link),29 (link)-32 (link)]. Since DHS do not collect data on income or expenditures, the economic status of household is proxied by a household wealth variable constructed from household possessions and amenities and dwelling characteristics, using principal component analysis [33 ]. For the purpose of this study, the resulting continuous variable (wealth index) was recoded as tertiles with categories labelled poor, middle and rich. Other control variables are parity, age at birth of the child and marital status.
Based on previous studies on the use of maternal services, the independent variables used in this study include education (coded as none, primary and secondary/higher); household wealth; urban-rural residence; and ethnicity [9 (link),25 (link),29 (link)-32 (link)]. Since DHS do not collect data on income or expenditures, the economic status of household is proxied by a household wealth variable constructed from household possessions and amenities and dwelling characteristics, using principal component analysis [33 ]. For the purpose of this study, the resulting continuous variable (wealth index) was recoded as tertiles with categories labelled poor, middle and rich. Other control variables are parity, age at birth of the child and marital status.
Full text: Click here
Care, Prenatal
Child
Childbirth
Ethnicity
Households
Nurse Midwife
Obstetric Delivery
Physicians
Pregnancy
Traditional Birth Attendant
All women 15–45 years old who had delivered within 24–48 hours in a participating facility were eligible for inclusion, regardless of pregnancy outcome. Heshima researchers approached all postpartum women discharged from the postnatal ward, described the study and its interview process, emphasizing its privacy and confidentiality, and their consent to participate was requested, utilizing a structured consent form in the woman’s preferred language. Women were recruited until the necessary sample sizes were reached for all 13 study facilities [13 ]. During the September 2011 through January 2012 baseline period, a total of 641 women consented to participate; during the January and February 2014 endline, 728 women consented to participate. Fifty percent (50 %) of all women who delivered in the facilities in the previous 48 hours participated in the study’s baseline survey, and 60 % participated in the endline survey.
Interviews were conducted in a specially designated room at each facility by interviewers trained in the study procedures to ensure that patient privacy was maintained. The questionnaire includes modules that examine women’s demographic and household characteristics including their socio-economic status, past service utilization, characteristics of their deliveries, their perceived quality and satisfaction, and experiences of D & A. Table2 presents the questions used to assess D & A experiences. Portable digital assistant (PDA) devices were used to collect the data, which were downloaded into an MS Access database before their export to Stata 11 for data management.
Interviews were conducted in a specially designated room at each facility by interviewers trained in the study procedures to ensure that patient privacy was maintained. The questionnaire includes modules that examine women’s demographic and household characteristics including their socio-economic status, past service utilization, characteristics of their deliveries, their perceived quality and satisfaction, and experiences of D & A. Table
Questions for assessment and corresponding categories
Study methods and examples of Questions used | Corresponding categories |
---|---|
Client exit survey | |
Were you physically abused by any of the health care workers | Physical abuse |
Were you treated in a way that violated your privacy? | Privacy violation |
Were you treated in a way that violated your confidentiality | Confidentiality violated |
Did any healthcare provider talk or use a tone or facial expression that made feel uncomfortable? | Verbal abuse |
Were you or your baby prevented from leaving this facility because you could not pay | Detainment |
Were you left un attended by health providers when you needed care | Abandonment |
Observations of provider-patient interactions | |
Examination | |
Provider did not obtain permission from the mother before the initial examination or did not seek the mother’s consent for the vaginal examination | Non-consented care |
When the provider did not use “dignified language” or using “harsh tones or shouting” during the history taking | Verbal abuse |
When either there were no separating partitions between the beds or the partitions didn’t provide privacy | Lack of privacy |
Delivery period | |
Assessed as the staff being aggressive in any way and the midwife/nurse research assistant indicating whether it was physical aggression or verbal aggression (or both) | Physical aggression |
Verbal aggression | |
Assessed as the mother not being covered while being moved from pre-labor ward to the delivery room or not having closed partitions or being uncovered (excluding the perineal area). | Lack of privacy |
Postnatal period | |
Was the mother not having a bed allocated only to herself | Bed sharing |
Full text: Click here
Feelings
Fingers
Health Personnel
Households
Infant
Interviewers
Medical Devices
Mothers
Nurse Midwife
Obstetric Delivery
Obstetric Labor
Patients
Perineum
Physical Examination
Postpartum Women
Satisfaction
Speech
Vagina
Woman
We analyze the predictors of three indicators of use of maternal health services: use of antenatal care, delivery assisted by a trained medical personnel (doctor or nurse/nurse-midwife), and use of postnatal care services. We assess the predictors of each of these indicators separately and with reference to the most recent birth.
We examined the predictive value of a number of individual and household variables, including rank of the most recent birth, education, ethnicity, age at last birth, attitudes towards family planning, ideal family size and socio-economic status. We examined the role of three community level variables: type of place of residence (urban versus rural), media saturation in the local government area (LGA) of residence, and prevalence of the small family norm in the LGA of residence. At the state level, we assessed the role of the ratio of Primary Health Care (PHC) facilities to the population. In addition, we assessed random effects at the state level. We selected these predictors based on information from extant literature and because they were significant predictors in initial bivariate analyses of the data. We describe the various predictors in Table1 .
We examined the predictive value of a number of individual and household variables, including rank of the most recent birth, education, ethnicity, age at last birth, attitudes towards family planning, ideal family size and socio-economic status. We examined the role of three community level variables: type of place of residence (urban versus rural), media saturation in the local government area (LGA) of residence, and prevalence of the small family norm in the LGA of residence. At the state level, we assessed the role of the ratio of Primary Health Care (PHC) facilities to the population. In addition, we assessed random effects at the state level. We selected these predictors based on information from extant literature and because they were significant predictors in initial bivariate analyses of the data. We describe the various predictors in Table
Full text: Click here
Care, Prenatal
Childbirth
Ethnicity
Health Personnel
Households
Maternal Health Services
Nurse Midwife
Obstetric Delivery
Physicians
Postnatal Care
Alcohol Use Disorder
Case Management
Conditioning, Psychology
Emotions
Epilepsy
Health Personnel
Mental Disorders
Mental Health
Mental Health Services
Midwife
Nurse Midwife
Nurses' Aides
Operative Surgical Procedures
Pharmaceutical Preparations
Physicians
Primary Health Care
Psychosocial Support
Psychotic Disorders
Specialists
Training Programs
Most recents protocols related to «Nurse Midwife»
In Nepal, the Ministry of Health and Population (MoHP) has implemented GMP for over 20 years as a core child health and nutrition service [15 (link)]. The MoHP aims for monthly contacts for children from birth to two years of age [16 ]. With support from female community health volunteers (FCHVs), trained auxiliary health workers and auxiliary nurse midwives deliver GMP through health facilities and monthly primary health care outreach clinics (PHC ORCs) where they offer additional primary health care services, such as antenatal care, family planning, health education, and counseling. The Expanded Program on Immunization clinics may also be held on the same day (and location) as PHC ORCs.
Full text: Click here
Allied Health Personnel
ARID1A protein, human
Care, Prenatal
Child
Childbirth
Children's Health
Health Education
Healthy Volunteers
Immunization Programs
Midwife
Nurse Midwife
Nurses' Aides
Primary Health Care
Woman
Using publicly available provider directories for Massachusetts Medicaid ACOs and data on provider supply, we quantified inclusion of obstetrician-gynecologists (OB/GYN), maternal-fetal medicine (MFM) specialists, certified nurse-midwives (CNM), and acute care hospitals with obstetrics departments in Medicaid ACOs. We then compared the number and type of providers across ACO types, across ACOs within ACO type, and to the total number of providers within Massachusetts.
In Massachusetts, Medicaid ACO models were implemented starting in March 2018 with two ACO distinct models available as of 2021 [27 , 28 ]. The first model, Accountable Care Partnership Plans (ACPP), operates within a specific service area and restricts the provider network to those within the contracted Managed Care Organization. The second model, Primary Care ACOs (PCACO), rely on specific in-network primary care providers, but provide access to the entire Medicaid specialist and hospital network [29 ]. Both models consist of a two-sided risk payment structure in which the ACO can either receive a greater portion of savings for high value care, or pay a penalty to Medicaid if the cost of care exceeds predefined targets [28 ]. PCACOs are only eligible to receive shared savings if they reach a minimum benchmark on quality metrics, including prenatal care metrics [30 ]. ACPP ACOs have similar quality metrics factored into the shared risk payment arrangements to provide accountability [31 ]. As of January 2021, over three quarters of Medicaid enrollees’ primary coverage is through an ACO [32 ]. Among ACO enrollees, 60% are enrolled in an Accountable Care Partnership Plan and 40% are enrolled in a Primary Care ACO [32 ]. This study used publicly available information and did not include data on human subjects. Therefore, Institutional Review Board approval was not necessary.
In Massachusetts, Medicaid ACO models were implemented starting in March 2018 with two ACO distinct models available as of 2021 [27 , 28 ]. The first model, Accountable Care Partnership Plans (ACPP), operates within a specific service area and restricts the provider network to those within the contracted Managed Care Organization. The second model, Primary Care ACOs (PCACO), rely on specific in-network primary care providers, but provide access to the entire Medicaid specialist and hospital network [29 ]. Both models consist of a two-sided risk payment structure in which the ACO can either receive a greater portion of savings for high value care, or pay a penalty to Medicaid if the cost of care exceeds predefined targets [28 ]. PCACOs are only eligible to receive shared savings if they reach a minimum benchmark on quality metrics, including prenatal care metrics [30 ]. ACPP ACOs have similar quality metrics factored into the shared risk payment arrangements to provide accountability [31 ]. As of January 2021, over three quarters of Medicaid enrollees’ primary coverage is through an ACO [32 ]. Among ACO enrollees, 60% are enrolled in an Accountable Care Partnership Plan and 40% are enrolled in a Primary Care ACO [32 ]. This study used publicly available information and did not include data on human subjects. Therefore, Institutional Review Board approval was not necessary.
Full text: Click here
Care, Prenatal
Ethics Committees, Research
Gynecologist
Managed Care
Nurse Midwife
Obstetrician
Primary Health Care
We analyzed obstetric provider inclusion in the 13 ACPP ACOs and three PCACOs operating in Massachusetts Medicaid in January 2021. We analyzed the inclusion of OB/GYNs, MFMs, and CNMs using ACO provider directories available online between December 2020 and January 2021. Five ACPP ACOs provided print directories generated directly from online directories located on the ACO websites. Eight ACPP ACOs provided separate, distinct printed directories available on the ACO websites. The three PCACOs utilized the MassHealth provider network for specialists, and we used the MassHealth online directory for these ACOs. Enrollment data for each ACO is determined as of July 2018 [28 ].
For ACPP plans, clinicians included in the analysis were those listed in the categories of obstetrician, obstetrician/gynecology, gynecology, or maternal-fetal medicine within the provider directories. For certified nurse midwives (CNM), the directories which included CNMs had a separate section listing those who were included. For directories including a provider identification number (such as an NPI), the identifier was extracted, and duplicates were removed to determine the total number of providers included in that plan. For all others, duplicates were removed manually based on clinician name. If provider directories included practice names, we did not count these practices towards the number of included clinicians; we checked a number of these by hand in each directory to ensure that the majority of clinicians practicing in those organizations were included in the provider directory and discuss in the results where there were any deviations from this. We were not able to include family medicine physicians who provide maternity care due to the difficulty of systematically identifying these specific physicians.
For the PCACO plans, we searched the online provider directory by specialty for “Obstetrics (OB/GYN)” and included individual clinicians in the count. MFMs were not classified separately in the online provider directory but were included within OB/GYN provider listings. To determine MFM inclusion, MFM providers listed within the 2019 Massachusetts Registration of Provider Organizations Physician Roster (MA RPO) were manually identified within the covered Medicaid OB/GYN providers [33 ]. The MA RPO includes physicians practicing in organizations meeting certain patient and revenue thresholds, and may not include MFMs practicing independently or in small organizations. We then searched the directory using categorical drop down boxes of “nurse midwives” for CNMs. No duplicates by name appeared in these directories. We used the same procedure as above to exclude listed practices in this directory. The provider directory online notes, “Please Note: Some providers in this directory may no longer accept MassHealth. Before making an appointment, please contact the provider to confirm that they are accepting new MassHealth patients.”
The Medicaid waiver implementing the Medicaid ACOs includes a policy that PCACOs may designate a “referral circle” of ACO-preferred specialists that patients may visit without a required PCP referral [34 ]; however, enrollees still have access to the full MassHealth network. Publicly available information demonstrates only one of the three PCACOs states that they include a referral circle and none actually list providers included in the referral circle, so we do not analyze these further.
The total number of OB/GYNs and CNMs in Massachusetts for comparison to provider directories is based on estimates from the Area Health Resources File from the Health Resources and Services Administration [35 ]. We calculate the number of OB/GYNs as MDs and DOs within the Obstetrics and Gynecology health profession subcategory (2019–2020). The number of CNMs are from the nurse midwife category (2019–2020). The Area Health Resources File from the Health Resources and Services Administration does not offer an estimate of MFMs. Therefore, we utilize the 2019 Massachusetts Registration of Provider Organizations Physician Roster to estimate the total number of MFMs practicing in Massachusetts based on a primary or secondary specialty of Maternal-Fetal Medicine [33 ]. We compare the number of OB/GYNs and MFMs included in ACOs to the overall number of practicing OB/GYNs and MFMs in Massachusetts to contextualize the comprehensiveness of specialist networks.
We used the MassHealth Enrollment Guide (January 2019) to determine hospital inclusion for each ACO, limited to in-state acute care hospitals with an obstetrics department that conducts deliveries [29 ]. Acute care hospitals in Massachusetts were identified by those included in the Massachusetts’ Center for Health Information and Analysis (CHIA) Acute Hospitals Profiles [36 ]. Birth and obstetric department information was primarily determined by hospital profile data from the American Hospital Association (AHA) [37 ]. For any hospitals that did not have AHA data, data from the 2017 Massachusetts Birth Report [38 ] as well as individual hospital websites was used. The service areas for each ACO and hospital location was used to determine which hospital referral region(s) applied to specific ACOs and hospitals. MassHealth service areas and hospital locations were matched to hospital service areas and then subsequently to hospital referral regions. No service area has fewer than four ACOs to choose from, and some areas in Greater Boston and the South Shore have as many as 11 [39 ].
For ACPP plans, clinicians included in the analysis were those listed in the categories of obstetrician, obstetrician/gynecology, gynecology, or maternal-fetal medicine within the provider directories. For certified nurse midwives (CNM), the directories which included CNMs had a separate section listing those who were included. For directories including a provider identification number (such as an NPI), the identifier was extracted, and duplicates were removed to determine the total number of providers included in that plan. For all others, duplicates were removed manually based on clinician name. If provider directories included practice names, we did not count these practices towards the number of included clinicians; we checked a number of these by hand in each directory to ensure that the majority of clinicians practicing in those organizations were included in the provider directory and discuss in the results where there were any deviations from this. We were not able to include family medicine physicians who provide maternity care due to the difficulty of systematically identifying these specific physicians.
For the PCACO plans, we searched the online provider directory by specialty for “Obstetrics (OB/GYN)” and included individual clinicians in the count. MFMs were not classified separately in the online provider directory but were included within OB/GYN provider listings. To determine MFM inclusion, MFM providers listed within the 2019 Massachusetts Registration of Provider Organizations Physician Roster (MA RPO) were manually identified within the covered Medicaid OB/GYN providers [33 ]. The MA RPO includes physicians practicing in organizations meeting certain patient and revenue thresholds, and may not include MFMs practicing independently or in small organizations. We then searched the directory using categorical drop down boxes of “nurse midwives” for CNMs. No duplicates by name appeared in these directories. We used the same procedure as above to exclude listed practices in this directory. The provider directory online notes, “Please Note: Some providers in this directory may no longer accept MassHealth. Before making an appointment, please contact the provider to confirm that they are accepting new MassHealth patients.”
The Medicaid waiver implementing the Medicaid ACOs includes a policy that PCACOs may designate a “referral circle” of ACO-preferred specialists that patients may visit without a required PCP referral [34 ]; however, enrollees still have access to the full MassHealth network. Publicly available information demonstrates only one of the three PCACOs states that they include a referral circle and none actually list providers included in the referral circle, so we do not analyze these further.
The total number of OB/GYNs and CNMs in Massachusetts for comparison to provider directories is based on estimates from the Area Health Resources File from the Health Resources and Services Administration [35 ]. We calculate the number of OB/GYNs as MDs and DOs within the Obstetrics and Gynecology health profession subcategory (2019–2020). The number of CNMs are from the nurse midwife category (2019–2020). The Area Health Resources File from the Health Resources and Services Administration does not offer an estimate of MFMs. Therefore, we utilize the 2019 Massachusetts Registration of Provider Organizations Physician Roster to estimate the total number of MFMs practicing in Massachusetts based on a primary or secondary specialty of Maternal-Fetal Medicine [33 ]. We compare the number of OB/GYNs and MFMs included in ACOs to the overall number of practicing OB/GYNs and MFMs in Massachusetts to contextualize the comprehensiveness of specialist networks.
We used the MassHealth Enrollment Guide (January 2019) to determine hospital inclusion for each ACO, limited to in-state acute care hospitals with an obstetrics department that conducts deliveries [29 ]. Acute care hospitals in Massachusetts were identified by those included in the Massachusetts’ Center for Health Information and Analysis (CHIA) Acute Hospitals Profiles [36 ]. Birth and obstetric department information was primarily determined by hospital profile data from the American Hospital Association (AHA) [37 ]. For any hospitals that did not have AHA data, data from the 2017 Massachusetts Birth Report [38 ] as well as individual hospital websites was used. The service areas for each ACO and hospital location was used to determine which hospital referral region(s) applied to specific ACOs and hospitals. MassHealth service areas and hospital locations were matched to hospital service areas and then subsequently to hospital referral regions. No service area has fewer than four ACOs to choose from, and some areas in Greater Boston and the South Shore have as many as 11 [39 ].
Full text: Click here
ACPP protein, human
Childbirth
General Practitioners
Hospital Referral
Infantile Neuroaxonal Dystrophy
Nurse Midwife
Obstetric Delivery
Obstetrician
Patients
Physicians
The study utilized data obtained from the 2018 Nigeria Demographic and Health Survey (NDHS). The survey is a cross-sectional study and data were generated using standardized interviewer-administered questionnaires from a nationally representative sample of women aged (15 (link)–49) on socioeconomic, demographic and health variables. For this study, the analyzes covered a weighted sample of 13,151 currently married and cohabiting rural women who were sexually active and reported to have given birth to at least a child in the five years that preceded the survey (i.e. 2013–2018).
The outcome variables selected for this study were based on empirical evidence which includes; 1) the use of contraceptive methods, 2) the number of ANC visits, 3) facility delivery services and 4) the postnatal check provider. Information on these outcome variables as generated from the 2018 NDHS was re-categorized from their original frequency ranges in the dataset. Therefore, women who used a modern contraceptive method, had at least four ANC visits during their most recent pregnancy, delivered in a public or private hospital and skilled postnatal check of a mother during the first 2 days after childbirth/before discharge from a doctor, nurse/midwife or auxiliary nurse/midwife were categorized as ‘1’ and ‘0’ if otherwise.
The main explanatory variables in this study are household poverty-wealth and women's decision-making measures including the following three subjects: 1) decision on respondent's healthcare, 2) decision on large household purchases, and 3) decision on how to spend respondent's earnings. Therefore, women who made independent decisions on any of the three subjects represent decision-making autonomy and may influence seeking healthcare for themselves (22 (link)). In this context, household poverty-wealth was estimated as adopted in a previous study to explain household poverty-wealth status in African standards where there is high inequality in income distribution (23 (link)). Some covariates influencing the outcome variables including age, education, work status, region, distance to health facility and health insurance were included in the analysis as control variables based on empirical evidence.
Data analysis was conducted with Stata software (version 15) at univariate, bivariate and multivariate levels. The dataset was carefully checked for missing values which were excluded and weighted with the appropriate sampling weights as per the Demographic and Health Survey sampling scheme. At the bivariate level, unadjusted logistic regression as shown inTable 2 was employed to investigate the association between the outcome and explanatory variables. Table 3 presented the adjusted logistic regression at the multivariate level to examine the odds of using reproductive and maternal health services. The statistical significance was set at p<0.05 and measures of association were expressed as odds ratio with 95% confidence intervals.
The outcome variables selected for this study were based on empirical evidence which includes; 1) the use of contraceptive methods, 2) the number of ANC visits, 3) facility delivery services and 4) the postnatal check provider. Information on these outcome variables as generated from the 2018 NDHS was re-categorized from their original frequency ranges in the dataset. Therefore, women who used a modern contraceptive method, had at least four ANC visits during their most recent pregnancy, delivered in a public or private hospital and skilled postnatal check of a mother during the first 2 days after childbirth/before discharge from a doctor, nurse/midwife or auxiliary nurse/midwife were categorized as ‘1’ and ‘0’ if otherwise.
The main explanatory variables in this study are household poverty-wealth and women's decision-making measures including the following three subjects: 1) decision on respondent's healthcare, 2) decision on large household purchases, and 3) decision on how to spend respondent's earnings. Therefore, women who made independent decisions on any of the three subjects represent decision-making autonomy and may influence seeking healthcare for themselves (22 (link)). In this context, household poverty-wealth was estimated as adopted in a previous study to explain household poverty-wealth status in African standards where there is high inequality in income distribution (23 (link)). Some covariates influencing the outcome variables including age, education, work status, region, distance to health facility and health insurance were included in the analysis as control variables based on empirical evidence.
Data analysis was conducted with Stata software (version 15) at univariate, bivariate and multivariate levels. The dataset was carefully checked for missing values which were excluded and weighted with the appropriate sampling weights as per the Demographic and Health Survey sampling scheme. At the bivariate level, unadjusted logistic regression as shown in
Full text: Click here
Child
Childbirth
Contraceptive Methods
Health Insurance
Households
Interviewers
Maternal Health Services
Midwife
Mothers
Negroid Races
Nurse Midwife
Nurses' Aides
Obstetric Delivery
Patient Discharge
Physicians
Pregnancy
Reproduction
Woman
This study included semi-structured qualitative interviews with obstetric providers, obstetrician/gynecologists, maternal-fetal medicine specialists, and certified nurse-midwives in Montana, Idaho, and Wyoming. We selected these states due to their geographic similarities, with most counties in each state classified as rural. We used a purposive, non-probabilistic sampling methodology.26 (link)Recruitment occurred through the American College of Obstetricians and Gynecologists District VIII listserv, mailings, and phone calls to hospitals and health clinics. Interested providers contacted a research team member to schedule an interview. The Institutional Review Board approved the study under Protocol # 104-20.
Full text: Click here
Ethics Committees, Research
Gynecologist
Nurse Midwife
Obstetrician
Specialists
Top products related to «Nurse Midwife»
Sourced in France
The Digene cervical sampler is a medical device designed for the collection of cervical cell samples. It is used to obtain samples for diagnostic testing, such as detecting human papillomavirus (HPV) infections. The device features a specialized brush or spatula component to collect the cells from the cervix.
Sourced in United States
The Xpert® CT/NG Vaginal/Endocervical Specimen Collection kits are laboratory equipment used to collect and preserve vaginal or endocervical samples for the detection of Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) infections. The kits provide the necessary materials and instructions for proper specimen collection and handling.
Sourced in United States, United Kingdom, Denmark, Belgium, Spain, Canada, Austria
Stata 12.0 is a comprehensive statistical software package designed for data analysis, management, and visualization. It provides a wide range of statistical tools and techniques to assist researchers, analysts, and professionals in various fields. Stata 12.0 offers capabilities for tasks such as data manipulation, regression analysis, time-series analysis, and more. The software is available for multiple operating systems.
Sourced in United States
The SonoSite NanoMaxx is a portable ultrasound system designed for point-of-care applications. It features a compact and lightweight design, making it easily transportable. The system provides high-quality imaging capabilities to support various clinical assessments and procedures.
Sourced in United States, Denmark, Austria, United Kingdom, Japan, Canada
Stata version 14 is a software package for data analysis, statistical modeling, and graphics. It provides a comprehensive set of tools for data management, analysis, and reporting. Stata version 14 includes a wide range of statistical techniques, including linear regression, logistic regression, time series analysis, and more. The software is designed to be user-friendly and offers a variety of data visualization options.
Sourced in Italy
Nylon flocked swabs are sterile collection devices designed for obtaining samples. They feature a nylon fiber-based tip that is used to collect specimens for analysis.
Sourced in Germany
The Robusta 813 is a laboratory equipment product designed for sample analysis. It features a compact and durable construction, with essential functionalities for performing various analytical tasks. The device's core function is to provide reliable and consistent measurement capabilities for research and testing purposes.
Sourced in Germany, United Kingdom, United States, China, France, Switzerland
A digital scale is a weighing device that measures the mass or weight of an object using electronic sensors. It provides a precise and digital display of the measured value.
Sourced in United States
EpiData version 4.6 is a software application designed for the creation, entry, and management of epidemiological and clinical data. It provides a user-friendly interface for data collection, validation, and analysis.
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
More about "Nurse Midwife"
Nurse Midwives, also known as Advanced Practice Registered Nurses (APRNs), play a crucial role in providing comprehensive, patient-centered healthcare to women throughout the childbearing process.
These highly trained professionals collaborate closely with obstetricians and other healthcare providers to ensure the best possible outcomes for mothers and their newborns.
Utilizing a holistic, evidence-based approach, Nurse Midwives offer a wide range of services, including prenatal care, intrapartum management, postpartum support, and gynecological care.
Their expertise in normal physiologic birth, combined with their nursing background, enables them to offer a unique and empowering approach to women's healthcare.
Nurse Midwives are skilled in the use of various medical tools and technologies, such as the Digene cervical sampler, Xpert® CT/NG Vaginal/Endocervical Specimen Collection kits, and the SonoSite NanoMaxx ultrasound system.
They also utilize statistical software like Stata 12.0, Stata version 14, and SAS 9.4 to analyze data and inform their clinical decision-making.
Additionally, Nurse Midwives employ specialized sampling techniques, such as the use of Nylon flocked swabs, to collect and analyze biological specimens.
They may also utilize digital scales, like the Robusta 813, to accurately measure and monitor patients' weight throughout their pregnancies.
The data collected and analyzed by Nurse Midwives is often stored and managed using software like EpiData version 4.6, which helps ensure the accuracy and reproducibility of their research protocols.
By incorporating these advanced tools and technologies into their practice, Nurse Midwives are able to provide the highest quality of care to their patients, promoting healthy pregnancies, deliveries, and postpartum recoveries.
Experiance the difference today!
These highly trained professionals collaborate closely with obstetricians and other healthcare providers to ensure the best possible outcomes for mothers and their newborns.
Utilizing a holistic, evidence-based approach, Nurse Midwives offer a wide range of services, including prenatal care, intrapartum management, postpartum support, and gynecological care.
Their expertise in normal physiologic birth, combined with their nursing background, enables them to offer a unique and empowering approach to women's healthcare.
Nurse Midwives are skilled in the use of various medical tools and technologies, such as the Digene cervical sampler, Xpert® CT/NG Vaginal/Endocervical Specimen Collection kits, and the SonoSite NanoMaxx ultrasound system.
They also utilize statistical software like Stata 12.0, Stata version 14, and SAS 9.4 to analyze data and inform their clinical decision-making.
Additionally, Nurse Midwives employ specialized sampling techniques, such as the use of Nylon flocked swabs, to collect and analyze biological specimens.
They may also utilize digital scales, like the Robusta 813, to accurately measure and monitor patients' weight throughout their pregnancies.
The data collected and analyzed by Nurse Midwives is often stored and managed using software like EpiData version 4.6, which helps ensure the accuracy and reproducibility of their research protocols.
By incorporating these advanced tools and technologies into their practice, Nurse Midwives are able to provide the highest quality of care to their patients, promoting healthy pregnancies, deliveries, and postpartum recoveries.
Experiance the difference today!