INTRODUCTION

Midwifery is continuously developing in Europe1. Social, health, and educational policies, as well as structural and demographic developments, have led to an expansion of the range of tasks and responsibilities of midwives. This has significant consequences for the acquisition of competencies in the context of professional education, especially focusing on academic competencies1. Generally, academic competencies are understood to be skills, attitudes, and behaviors that empower midwives to be able to meet the requirements in a complex care setting2. Accordingly, midwives should be particularly capable of self-responsibly adapting to new and changing challenges in an interdisciplinary care context, as well as making decisions and acting in a self-organized, participatory, and solution-oriented manner3. Thus, purposefully adopting evidence-based knowledge and interventions is essential1. These are developed through high-quality midwifery education, which can improve more than 50 outcomes, including reduced maternal and neonatal mortality and morbidity, a smaller number of unnecessary interventions, improved health and psychosocial outcomes, as well as lower rates of stillbirths and preterm births4.

Structures of competence-oriented midwifery education in Germany

The need for midwives to acquire academic competencies led, among other things, to the academization of the midwifery profession and to the new midwifery law1. The academization is also progressing in Germany to meet the European standard of Directive 2005/36/EG5. Building on international6, European7,8 and national3,9,10 developments, it is therefore inevitable that academic education for midwives is competence-oriented. The new midwifery law (in force since 2020) has established the primary qualification at universities and colleges of academic education in Germany as the exclusive form of qualification for midwives11. The qualification to become a midwife in Germany takes place through a primary qualifying dual course of study. Academic education is organized according to the requirements of the Bologna Process8. This aims to achieve a standardized and integrative academic education in Europe, consisting of the three levels of bachelor’s, Master’s, and doctoral programs8. In Germany, the Bologna Process is implemented primarily through the German Qualifications Framework, which defines a consistent understanding of competencies for each qualification level3. In the midwifery study program, these academic competencies are taught in the 3 fields of action: pregnancy, birth and postnatal period, and breastfeeding10. After completing the study program, midwives receive occupational licensing to practice as a midwife as well as a Bachelor of Science degree. The study programs are offered either at medical faculties or at colleges in cooperation with healthcare institutions1. However, there is a transitional regulation for vocational training, in which vocational training at schools may be started by 2022 and must be completed by 202711. Nevertheless, Germany has been offering primary academic qualifications since 2009, in addition to supplementary and integrated training courses12.

Academic competence profiles in midwifery education

However, to examine the extent to which students possess academic competencies after completing their midwifery studies, it is a particular challenge to operationalize academic competencies as educational outcomes1,6. The International Confederation of Midwives focuses on basic competencies of midwifery practice that define core requirements for knowledge, skills, and professional behaviour6. Four superordinate categories are presented with all competencies considered essential: 1) General competencies; 2) Competencies specific to pre-pregnancy and antenatal care; 3) Competencies specific to care during labor and birth; and 4) Competencies specific to the ongoing care of women and newborns6. The World Health Organization recommends adopting these requirements nationally and consenting to these as outcomes of midwifery education13. Consequently, the operationalized competence profiles and the implemented curricula aligned to them vary systematically, especially between different countries.

The German Midwives Association addresses these basic competencies of the International Confederation of Midwives and adapts them to the specifics of German midwifery9. This results in five main categories: general competencies, specific competencies in the care of pregnancy, specific competencies during labor and birth, specific competencies during the postpartum and infant period, and specific competencies during pregnancy, birth, and postpartum9, which are further divided into individual competencies. These are explained by knowledge, skills, and personal competencies9. Another central competence profile for midwifery education originates in Switzerland7. Therefore, five domains: obstetric knowledge, obstetric communication, obstetric decision and action, responsibility and cooperation, development and organization7 are described with three to six competencies, each corresponding to the described field of action7. In this context, Pehlke-Milde7 has developed an instrument for the assessment of the views of midwives on competence requirements. Several items ask about the mentioned domains.

In Germany, there is so far no consented and validated instrument that adequately captures the achievement of the competence goals of academic midwifery education. In order to be able to specify the assessment contents appropriately, the perspective of midwives is a relevant source of information in addition to conceptual specifications for the qualification of midwives.

To achieve this particular aim, in a first step, the existing survey instrument of Pehlke-Milde7 assessing individual views on academic midwifery competencies will be adapted to the German midwifery context and psychometrically tested. Secondly, in order to comprehensively represent the views of midwives, both professional and academic midwives (in education and licensed midwives) will be surveyed.

Two main research questions are addressed in this study: ‘Is the adopted instrument a reliable and valid tool to measure the assessed relevance of academic midwifery competencies from the midwives’ perspective?’, and ‘Do academic and non-academic midwives differ significantly from each other in their assessed relevance of academic midwifery competencies?’.

METHODS

Design

The one-time cross-sectional survey was conducted as part of the research project ‘Good Midwife’ at the University of Tübingen. The aim is to develop an empirically tested competency model for academic midwifery education in Germany. In a first step, the assessed relevance of midwives, health professionals, and laypersons on academic key competencies in midwifery education is collected and analyzed. In a future research phase, the expectations of pregnant women about midwives’ competencies will be considered, for which further data will be collected with the present questionnaire. The focus of this work is on the perspective of (prospective) midwives.

Recruitment and study sample

Recruitment of midwives and prospective midwives took place from April to October 2022. Prospective midwives (students or trainees) and licensed midwives (academic or non-academic) were included if they: 1) were of legal age, 2) had sufficient knowledge of German, and 3) gave informed consent. Recruitment took place in three stages.

Midwifery students

An email invitation was sent to all midwifery students registered at University of Tübingen at the time of recruitment. Additionally, several midwifery programs across Germany (n=5) were contacted and asked to send the study invitation to midwifery students.

Midwifery trainees

The last regular cohorts of midwifery trainees at University Hospital Tübingen were also contacted by e-mail for participation in the study.

Licensed midwives

Invitations to participate in the study were sent to freelance midwives (n=25) and various clinics with midwifery staff (n=5).

In addition, multipliers were used to increase the recruitment radius: calls for studies were placed on the websites of midwife-specific professional associations (Regional Association of Midwives in Baden-Württemberg, Society for Quality in Outpatient Obstetrics) and in professional journals (e.g. Hebamme, publisher: Thieme).

Participants were informed about the purpose of the study, voluntary participation, anonymous data collection, data storage and use, and participants’ rights. Data collection, storage, and analysis were carried out in accordance with the General Data Protection Regulation14. Out of 307 questionnaires started, 193 were completed (of which all could be evaluated). At this point, it is interesting to take a look at the number of practicing midwives in Germany. Approximately 27000 midwives are practicing in Germany (as of 2021)15. With n=108 licensed midwives in the present study (excluding midwifery students and midwifery trainees), this results in a rate of approximately 0.4% of the midwives in Germany who participated in the study. In terms of the sample size for psychometric testing, the recommendation of n>100 was considered16.

Assessment instrument

In order to capture the midwives’ view, the Pehlke-Milde7 instrument for the assessment of the competence requirements of midwives was adapted to the context of midwifery in Germany. The instrument contains a total of 59 items divided into 7 thematic areas: effective and efficient care (16 items), legal and ethical responsibilities (5 items), interdisciplinary care (3 items), comprehensive care and prevention (10 items), professional relationships (8 items), analysis and integration of knowledge (10 items), and expending and deepening of professional knowledge (7 items). In the present work, three items VI (midwife’s research skills), VI5 (digital competences of the midwife), and II6 (avoiding avoidable interventions) were newly added. These addressed current challenges in midwifery and focused on evidence-based practice and digital literacy9. In addition, all items were rearranged. The new arrangement of the items was based on eight domains based on the competency profile of the International Confederation of Midwives6 as well as the German Midwives Association9 to reflect current developments. In total, the adapted assessment consisted of 62 items to assess the perceived relevance of midwifery competencies in academic education in Germany from the perspective of midwives. The questionnaire consisted of statements (e.g. ‘The midwife meets legal requirements and supports the development of evidence-based standards’) for which the respondents could rate the relevance of the statement on a 6-point scale (1=highest priority to 6=no priority). Expert interviews were used to test the content validity of the instrument. An analysis of the construct validity and, thus, the empirical identification of the competence structure is not available. At the item level, the instrument mainly reflects the range of content areas and academic competencies according to the curricular design of German midwifery education and addresses core competencies according to the International Confederation of Midwives6.

In addition, 12 questions were asked about the sociodemographic characteristics of the participants (based on the German Demographic Standard17). The final instrument was pre-tested using cognitive interviews18, resulting in minor changes. The final data collection was carried out using the online survey software LimeSurvey.

Statistical analysis

To test for normal distribution, the skewness (S) and kurtosis values were calculated for each item. The cut-off level for a normal distribution was set at |S|<3.00 and |kurtosis|<7.0019. Unpaired t-tests were used to capture the differences in means to identify possible differences in the assessed relevance of academic midwifery competencies between the two groups of: 1) academic vs non-academic midwives, and 2) midwife trainees vs midwife students. Cohen’s d was used as a measurement of the effect size20. Subdivisions of d=|0.20| (small effect), d=|0.50| (medium effect) and d=|0.80| (large effect) were defined20. The alpha level for all statistical tests was set at 0.05.

Due to the lack of empirical testing of the construct validity of the Pehlke-Milde7 instrument, no empirical evidence exists regarding the multidimensionality of the assessment. The heuristic procedure of exploratory factor analysis provided hypotheses about the structure of the relationships between the items. This procedure was useful when there is no elaborated theory and the linear structures of the measured characteristics are to be explored21, as in the present study. Using principal components analysis with varimax rotation and exploratory factor analysis, the 62 items were analyzed. The communalities (h2i) were calculated, which were accepted from a cut-off level h2i>0.4022. To identify relevant factors, the Kaiser-Guttman criterion (eigenvalue >1.00) and the scree plot criterion were conducted. Furthermore, an item was assigned to a factor if the rotated factor loading (λ') was >0.5022. To calculate the internal reliability, the reliability coefficient Cronbach’s α was used23. It determined the internal consistency of a scale23. In psychometric procedures, satisfactory reliability was achieved by the following cut-off levels: α≥0.70 acceptable, α≥0.80 good, and α≥0.90 very good22. Values of α ≤0.50 were not acceptable23. Furthermore, the corrected item discriminatory power (rit) was calculated. Data analysis was carried out using the statistical software Statistical Package for the Social Sciences (SPSS) version 26.

RESULTS

Participant characteristics

Table 1 shows the sociodemographic characteristics of study participants. A total of n=193 people participated in the survey and 99.5% (n=192) of the participants were female, 29.5% (n=57) of participants were aged 21–29 years, while 20.2% (n=39) were aged 50–59 years; 40.4% (n=78) of the participants reported completing vocational school as their highest professional education degree. In contrast, 17.6% (n=34) had a Bachelor’s degree, 9.8% (n=19) a Master’s degree or comparable, and 4.1% (n=8) a diploma; 38.3% of participants (n=74) were employed full-time, while 20.7% (n=40) were employed part-time, and 26.9% (n=52) were students. Almost half of the participants reported being a midwife educated in a vocational school (46.6%, n=90), and 9.3% (n=18) were midwives educated at university; 3.6% (n=7) of participants were midwifery trainees, whereas 28.5% (n=55) were midwifery students. In addition, n=2 physicians (1.0%) and n=3 other medical personnel (1.6%) participated. Overall, 90.7% of participants were medical personnel (n=175), whereas 12.4% (n=24) were laypersons, and 64.2% (n=124) of the respondents belonged to a religion.

Table 1

Sociodemographic characteristics of study participants (N=193)

Characteristicsn (%)
Gender
Female192 (99.5)
Male1 (0.5)
Other0 (0.0)
Age (years)
18–2012 (6.2)
21–2957 (29.5)
30–3942 (21.8)
40–4933 (17.1)
50–5939 (20.2)
60–6910 (5.2)
≥700 (0.0)
Marital status
Married98 (50.8)
Registered partnership1 (0.5)
Divorced9 (4.7)
Widowed1 (0.5)
Single84 (43.5)
Living with partner in household
Yes127 (65.8)
No66 (34.2)
Pregnancy
Yes8 (4.1)
No185 (95.9)
Number of children
125 (13.0)
242 (21.8)
328 (14.5)
≥413 (6.7)
085 (44.0)
Highest general school degree
No degree0 (0.0)
Secondary school diploma22 (11.4)
Polytechnic secondary school in the GDR with completion of the 8th or 9th grade0 (0.0)
Intermediate school0 (0.0)
Polytechnic secondary school in the GDR with completion of 10th grade2 (1.0)
Advanced technical college14 (7.3)
‘Abitur’/general or subject-linked higher education entrance qualification154 (79.8)
Other general school degree1 (0.5)
Highest vocational qualification
No vocational qualification9 (4.7)
Still in vocational training35 (18.1)
Completed vocational training78 (40.4)
Completion of a master craftsman or technician school1 (0.5)
Bachelor’s degree34 (17.6)
Diploma8 (4.1)
Master’s, Magister, state examination19 (9.8)
Doctorate5 (2.6)
Habilitation1 (1.0)
Other professional degree3 (1.6)
Parents’ highest vocational qualification
No vocational qualification4 (2.1)
Still in vocational training0 (0.0)
Completed vocational training77 (39.9)
Completion of a master craftsman or technician school20 (10.4)
Bachelor’s degree7 (3.6)
Diploma40 (20.7)
Master’s, Magister, state examination27 (14.0)
Doctorate11 (5.7)
Habilitation3 (1.6)
Other professional degree4 (2.1)
Employment situation
Full-time employed74 (38.3)
Part-time employed40 (20.7)
Partial retirement0 (0.0)
Marginally employed2 (1.0)
‘One-Euro-Job’ (when receiving unemployment benefit II)0 (0.0)
Other occupation0 (0.0)
Occasionally or irregularly employed1 (0,5)
In vocational training/apprenticeship with earnings9 (4.7)
In retraining0 (0.0)
Voluntary military service0 (0.0)
Federal voluntary service or voluntary social year1 (0.5)
Maternity leave, parental leave or other leave of absence11 (5.7)
Pupils at a general education school0 (0.0)
Students52 (26.9)
Pensioners, retirees, early retirees2 (1.0)
Unemployed0 (0.0)
Permanently disabled0 (0.0)
Housewives/househusbands0 (0.0)
Other1 (1.0)
Occupation of healthcare professionals (N=175)
Midwifery trainees7 (3.6)
Midwifery students55 (28.5)
Midwife (vocational school educated)90 (46.6)
Midwife (university educated)18 (9.3)
Physician2 (1.0)
Psychologist0 (0.0)
Other healthcare professionals3 (1.6)
Occupation of laypersons (N=24)
Self-employed in trade, hospitality, crafts, industry, services4 (2.1)
Civil servant, judge, professional soldier4 (2.1)
Employee with executive activity according to general instructions1 (0.5)
Employee with a qualified activity that is performed according to instructions5 (2.6)
Employee with independent performance in a responsible position or with specialist responsibility for personnel3 (1.6)
Employee with comprehensive management duties and decision-making powers1 (0.5)
Worker2 (1.0)
In vocational training/apprenticeship3 (1.6)
Other profession1 (0.5)
Religious affiliation
Yes124 (64.2)
No69 (35.8)

Exploratory factor analysis

The commonalities of the items using the extraction method of principal components analysis are shown in Table 2. All items were above the cut-off level h2i >0.40, meaning that the proportion of the total variance of a variable that can be attributed to the common factors was acceptable for all variables. Table 3 shows the factor eigenvalues and the explained total variance. According to the Kaiser-Guttman criterion (eigenvalue >1.00), 15 factors were extracted. These 15 factors explain 66.27% of the original information held by all items. It should be noted that factor one explains 29.60% (eigenvalue: 18.36). The scree plot assumed a one-factorial solution (Figure 1). Table 2 shows the item loadings on the extracted factors from the rotated component matrix, and 42 items exceeded the cut-off level λ' >0.50. All these items loaded on one single factor, 20 items did not exceed the cut-off-level λ' >0.50. These items, therefore, were eliminated. After elimination, all items exhibited factor loadings >0.50 (except item III5, burn-out prophylaxis) and possessed a common source of variance (latent factor 1). The eigenvalues and the scree plot did not change remarkably. Based on the results of the exploratory factor analysis, the 42 items were confirmed as indicators of an underlying latent construct (relevance of academic midwifery competencies, unidimensional structure).

Table 2

Item loadings on extracted factors and communalities from rotated component matrix

Itemλ' a*λ' a**h2i b
II1 The midwife’s ability to make decisions and take action0.293-0.731
II2 Role of the midwife as primary caregiver and supporter0.374-0.658
II3 Maintenance and promotion of women’s health0.421-0.685
II4 Safety, effectiveness and efficiency of care0.5230.5060.751
II5 Identification of care needs and care in crises0.5640.5620.592
II6 Avoiding avoidable interventions0.5330.5250.634
III1 Broadening and deepening theoretical and scientific knowledge0.395-0.726
III2 Planning and reflection in terms of safe, effective and efficient care0.5280.5380.606
III3 Identify factors influencing women’s and children’s health0.6260.6290.648
III4 Understanding legal and ethical principles0.7160.7210.680
III5 Burn out prophylaxis0.5000.4950.679
IV1 Compliance with legal requirements and support for evidence-based practice0.5330.5460.597
IV2 Physiological support of the process and evidence-based action0.447-0.647
IV3 Assessment and response to obstetric risks0.463-0.613
IV4 Midwife’s internal evidence0.497-0.663
V1 Midwife’s research skills0.5220.5470.738
V2 Evaluate and derive evidence from scientific information0.5590.5890.753
V3 Knowledge of women’s health0.6490.6710.690
V4 Traditional and experiential knowledge0.5610.5800.583
V5 Coping with job-specific demands0.6460.6520.696
V6 Representing opinions in hierarchical structures0.6410.6580.669
V7 High level of professional performance through continuing education0.6520.6610.658
VI1 Constant expansion of knowledge0.5770.5920.754
VI2 Gathering information and analyzing the situation0.6170.6250.667
VI3 Sensory perception (tactile-kinesthetic, body-therapeutic)0.5180.5010.707
VI4 Integration of learning processes into professional action0.6440.6580.611
VI5 Digital competences of the midwife0.5110.5320.607
VII1 Dignity and respect in the relationship of trust between woman and midwife0.446-0.704
VII2 Respect for individual, social, cultural, religious and emotional needs of the woman0.436-0.655
VII3 Professional relationship building0.5380.5240.648
VII4 Reflecting asymmetrical power relations0.468-0.660
VII5 Professional role relationship0.6370.6370.662
VII6 Therapeutic working alliance with the woman0.6020.5880.722
VII7 Respect for the woman’s own competence and autonomy0.480-0.699
VII8 Respecting and promoting pregnancy, birth, puerperium and breastfeeding as life events of the woman0.453-0.722
VII9 Recognizing mother and child as a unit, including mother and family0.472-0.686
VII10 Resource-oriented inclusion of the woman’s family environment0.6250.6170.651
VII11 Women- and family-oriented care0.6360.6310.700
VII12 Education and counselling of women and families0.452-0.649
VII13 Educating adolescents about sexuality and pregnancy0.451-0.693
VII14 Recognizing and referring signs of violence, sexual abuse or drugs0.6390.6080.722
VII15 Identify deficits in care and child abuse and act0.5350.5040.693
VIII1 Decide within legal competence and involve other professionals0.5190.5120.657
VIII2 Involve physicians in cases with pathological findings0.327-0.666
VIII3 Ensure integrated care0.6060.6080.605
VIII4 Meeting multiple demands and setting priorities0.5840.5880.462
VIII5 Assume responsibility in the obstetric team0.493-0.692
VIII6 Promote optimal interdisciplinary cooperation0.6050.6170.685
VIII7 Adequate documentation and dissemination of information to lay and professional representatives0.5520.5840.618
IX1 Understand obstetric care, considering relevant theories, principles and methods0.5970.6100.676
IX2 Advocacy for national and international social and health policies0.5970.6190.699
IX3 Reference to national and international standards and codes of ethics0.6520.6740.682
IX4 Identification of ethical dilemmas and participation in ethical decision-making processes0.6410.6640.683
IX5 Exercising professional responsibility and liability0.5880.5830.544
IX6 Realize working conditions for safe, effective and efficient care0.6520.6500.591
IX7 Promoting the reputation of the profession0.5360.5410.691
IX8 Recognize and advocate for the social relevance of professional performance0.6240.6340.623
IX9 Guidance and counselling for new entrants to the profession0.466-0.616
IX10 Observe legal, economic and business principles0.414-0.652
IX11 Internal and external evaluation of performance0.401-0.623
IX12 Support health promotion and prevention0.5360.5520.666
IX13 Autonomy and responsibility according to ethical, legal and scientific principles0.5070.5110.647

a λ': rotated factor loading.

* Rotated factor loading for all items.

** Rotated factor loading after elimination of 20 items.

b h2i: communalities.

Bold print means factor loading λ' >0.50.

Table 3

Eigenvalue and explained variance by extraction method principal component analysis

ComponentEigenvalue% of explained varianceCumulated %
118.35629.60629.606
23.0354.89634.502
32.6864.33338.835
41.9443.13541.971
51.7862.88144.852
61.6842.71647.567
71.6102.59750.164
81.5882.56252.726
91.3732.21454.940
101.3032.10257.042
111.2742.05459.096
121.2371.99561.091
131.1051.78262.873
141.0621.71364.585
151.0461.68866.273
Figure 1

Screeplot. Output SPSS.

https://www.europeanjournalofmidwifery.eu/f/fulltexts/169658/EJM-7-22-g001_min.jpg

Internal consistency and item analysis

Table 4 lists the descriptive analysis of the items, the item difficulty, the item total correlations, and the test of deviations from the normal distribution. The reliability analysis was conducted for all 42 items of the one factor, with Cronbach’s α=0.954. Accordingly, the reliability of the overall scale and the internal consistency were very good. The adapted assessment reliably captures the assessed relevance of the academic competencies of midwives. The item discriminatory power (considering all items) showed several weaknesses (rit <0.40, Table 4) for some items that also showed weaknesses in factor loadings (λ' <0.50). After the elimination of several items as described previously, the item discriminatory power was above the cut-off level rit >0.40 for all considered items. This meant that these items predicted acceptable item differentiation.

Table 4

Descriptive analysis of the items, item difficulty, test for normal distribution and item discriminatory power (N=193)

ItemMeanaSDRangeModeMedianSbKurtosiscritdrite
II11.410.5891–4111.4382.6150.278-
II21.310.5371–3111.5161.3930.350-
II31.340.5661–3111.4331.0930.394-
II41.610.6291–3120.541-0.6170.4910.473
II51.750.6791–4220.464-0.3700.5360.532
II61.440.6101–4111.3642.1340.5030.494
III11.770.6391–4210.037-0.0920.037-
III21.730.7071–4220.7050.2680.5040.511
III31.890.7551–4220.412-0.4890.5940.593
III42.210.7721–4220.095-0.4910.6910.692
III52.100.7971–4220.311-0.3860.4720.460
IV12.190.8231–4120.084-0.7320.5180.521
IV21.540.6841–4111.0890.7210.418-
IV31.310.5451–4111.7993.4130.438-
IV41.690.7181–4120.701-0.1330.462-
V13.010.9711–533-0.079-0.3550.5130.053
V22.530.9071–5230.089-0.6020.5450.567
V32.070.7911–5220.4540.2230.6290.645
V42.050.8701–5220.569-0.0440.5360.551
V52.330.8621–5220.237-0.3160.6300.625
V61.850.7431–4220.471-0.3320.6160.630
V72.380.8651–5320.097-0.1770.6260.628
VI12.090.7981–5220.3890.0710.5630.569
VI22.070.8721–5220.487-0.2040.5900.598
VI31.930.8131–5220.7800.6760.4830.466
VI42.190.7541–42220.191-0.3050.6260.634
VI52.910.9721–6330.2120.0290.4980.507
VII11.330.5611–4111.7022.8970.421-
VII21.400.6231–4111.4151.4830.414-
VII31.670.6941–4120.7280.1070.5190.500
VII42.020.8691–5220.547-0.1380.448-
VII52.200.8431–5220.4550.2590.6210.613
VII62.250.9641–6220.7030.6020.5800.560
VII71.470.6691–4111.3351.3610.451-
VII81.310.5451–3111.6041.6630.423-
VII91.400.6051–3111.2510.5220.442-
VII101.870.7231–4220.293-0.7650.5960.583
VII111.900.7811–4220.439-0.5090.6040.596
VII121.460.6291–4111.1850.9110.428-
VII132.831.1121–6330.3890.0140.432-
VII141.820.7711–4220.659-0.0150.6180.578
VII151.520.6541–3110.891-0.3060.5090.474
VIII11.590.6241–3120.563-0.5970.4900.478
VIII21.260.5081–3111.7752.3330.306-
VIII31.840.7411–4220.6460.2660.5730.573
VIII41.770.7921–4120.8230.1670.5580.555
VIII52.120.8691–6221.0062.8310.469-
VIII62.130.8091–4220.176-0.6540.5810.588
VIII71.900.7771–4220.6530.1760.5340.563
IX12.310.9271–6220.5830.7450.5770.584
IX22.601.0811–6330.324-0.1020.5830.598
IX32.560.9721–6330.177-0.1680.6390.655
IX42.691.0231–6330.201-0.1120.6310.646
IX52.211.0321–6220.6280.1900.5670.556
IX62.330.9141–5220.215-0.3730.6390.628
IX72.420.8991–5320.141-0.3270.5240.521
IX82.400.9091–5320.120-0.3820.6080.610
IX92.050.8581–5220.549-0.0190.457-
IX102.210.8431–6220.8471.5800.398-
IX112.641.1191–6230.5290.1190.396-
IX122.660.9441–6330.4210.3400.5280.533
IX132.050.9171–6220.7570.9970.4890.488

a Arithmetic mean: 1=highest priority; 2=high priority; 3=rather high priority; 4=rather low priority; 5=low priority; and 6=no priority. SD: standard deviation.

b S: skewness; standard error of skewness = 0.175.

c Standard error of kurtosis = 0.348.

d rit: corrected item discriminatory power acceptable values from rit >0.40 for all items.

e rit : corrected item discriminatory power acceptable values from rit >0.40 after eliminated items.

The arithmetic means differed in the value ranging between 1.26 (item VIII2 – involve physicians within pathological findings) and 3.01 (item V – midwives’ research skills), which also represented the item difficulties. According to the Classical Test Theory, items with an arithmetic mean close to 3.00 are preferred for a 6-point scale24. This was captured within the items V1 (midwife’s research skills), V2 (evaluate and derive evidence from scientific information), VI5 (digital competencies of the midwife), VII13 (educating adolescents about sexuality and pregnancy), IX2 (advocacy for national and international social and health policies), IX3 (reference to national and international standards and codes of ethics), IX4 (identification of ethical dilemmas and participation in ethical decision-making processes), IX11 (internal and external evaluation of performance), and IX12 (support health promotion and prevention). These items had a higher informational content than the other items. For the other items, the item difficulty had a mean <2.50. A floor effect of the item difficulty was therefore determined. The skewness and kurtosis values were |S|<3.00 and |kurtosis|<7.00, which means that a standard distribution was assumed.

Differences in the assessed relevance of academic midwifery competencies

Table 5 shows the unpaired t-test for students and trainees of midwifery. There was no significant difference between students and trainees in midwifery (t=0.18; df=6.66, p=0.86). The students and trainee midwives do not differ significantly in their assessed relevance of academic midwifery competencies. The unpaired t-test for midwives educated at university and those educated at vocational school is shown in Table 5. There was no significant difference in the assessed relevance of academic midwifery competencies between the midwives educated at university and midwives educated at vocational school (t= -0.035; df=106, p=0.97).

Table 5

Unpaired t-test for student or trainee midwives, and for midwives educated at university or at vocational school

MidwivesLevene testUnpaired t-test
nMeanaSDFsig.btdfsig.b
Students552.0620.4465.430.0230.1836.6570.861
Trainees72.0130.6875.430.0230.1836.6570.861
University educated182.1030.5000.750.388-0.0351060.972
Vocational school educated902.1070.5040.750.388-0.0351060.972

a Scale arithmetic mean. SD: standard deviation.

b sig.: significance according to alpha level of 5% (α≤0.05).

DISCUSSION

This study tested the questionnaire structure as well as differences in the views of academic and non-academic midwives in relation to the assessed relevance of academic midwifery competencies. A total of n=193 respondents participated in the survey. A single factorial solution was extracted after eliminating 20 items due to a lack of quality. The internal reliability of the assessment was very good (α=0.954). Accordingly, the first research question can be answered as follows: The assessment instrument measured the relevance of academic midwifery competencies reliably as well as construct validity. Focusing on the characteristics of academic midwifery competencies, the assessed relevance for academic midwives and non-academic midwives did not differ significantly from each other (t=0.18; df=6.66, p=0.86 for students and trainee midwives; and t= -0.035; df=106, p=0.97 for midwives educated at vocational school and university) answering the second research question (‘Do academic and non-academic midwives differ significantly from each other in their assessed relevance of academic midwifery competencies?’).

There was consensus among the midwives’ relevance of academic midwifery competence, as the performed t-tests both demonstrated no significant difference in the assessed relevance of academic midwifery competencies of the academic and non-academic midwives. This consensus about the academization of the profession was already reflected in other studies25. Further research shows that all stakeholders in academization, including non-academic midwives, unanimously supported the academization of midwifery26. However, fundamental differences were also found in the assessments of the two groups of academic and non-academic midwives in terms of shaping the academization25-28. Accordingly, it can be concluded that there is consensus among the midwifery profession about the need for academic midwifery competence, which can be supported by the results of the non-significant t-tests as well as the one factorial solution presented here. However, it should be noted that the views in terms of shaping the academization of midwifery differ between academic and non-academic midwives according to the current state of research, as described before. The fact that no studies were identified that found non-significant differences in the perceptions of academic and non-academic midwives could be due to publication bias. This bias assumed that studies that did not find statistically significant differences were published less frequently or later than studies with significant results29.

Considering the descriptive analysis, it appears that on average, most of the items were rated as ‘highest priority’ and ‘high priority’. This showed that there was fundamental agreement among the respondents about the characteristics of competent academic midwifery. However, one item (V1 – research competency) had a mean >3.00 and was therefore rated as ‘rather high priority’. This is particularly concerning since academization pursued the goal of evidence-based practice30. Considering the sociodemographic characteristics of the respondents, it should be noted that the majority of the midwives participating were non-academic midwives (46.6%). This indicated that there was a need for education to sensitize and involve non-academic midwives in terms of the goals of academization. Indeed, even for midwives who were already licensed, it was central to engage with research skills and evidence to achieve quality healthcare31. The need for academically trained midwives has been nationally and internationally undisputed for decades26. Accordingly, this single-factor solution that was extracted is highly relevant in terms of content since the construct reflected the relevance assessment of midwifery competency based on the academization of the midwifery profession from the midwives’ perspective.

However, it is debatable to what extent the items represented the construct fully. Items that were eliminated due to low item quality showed relevant content. For example, items relating to the interdisciplinarity of the midwifery profession (item VIII2 – involve physicians in cases with pathological findings) or to the expansion of scientific expertise (item III1 – broadening and deepening theoretical and scientific knowledge) had to be excluded, although their content was not included in other items that were part of the factor solution. It was also possible that the extracted items belonged to other factors that are not represented in the data set. They may nevertheless be relevant to the construct as a whole and just not adequately represented in the present questionnaire. Due to the one-factorial solution, a very large amount of information has been lost (one factor explained 29.6% of the overall variance, leaving almost 70% of the variance unexplained).

Considering the reliability hypothesis (H1: The measurement instrument can reliably capture the assessed relevance of competence facets of midwives), it must be mentioned that the prerequisites for Cronbach’s α were not completely fulfilled. Although one-dimensionality was given, the covariances of the items were not identical. Accordingly, the assessment of reliability could be biased24. Nevertheless, Cronbach’s α was applied because it was the best known and most frequently used reliability coefficient24. Finally, the quality criteria of objectivity and reliability were fulfilled. Validity was given in terms of construct validity (through exploratory factor analysis) as well as content validity (through expert interviews by Pehlke-Milde7). The criterion of validity, however, was not fulfilled.

Strengths and limitations

The study, has some strengths, such as use of the methodology of Classical Test Theory that has been proven and tested many times32, and the prerequisites of the statistical procedures were met in most cases (e.g. normal distribution). Also, the hypotheses could be fully tested, and research questions could be fully answered. Nevertheless, the study has some limitations. It should be noted that the distinction used between academic and non-academic midwives refers to the primary education of midwives. A secondary academization of the midwife (e.g. via a degree in a related science) was not considered as an academic midwife in this study. This was because the further development of midwifery study programs and the academization of the midwifery profession in Germany is established from the primary qualification with an academic degree11. The authors are aware that this is a possible bias. Nevertheless, this distinction was deliberately used to explicitly focus on the primary academic midwifery qualification. The high dropout rate (307 questionnaires started, 193 completed) could be due to several reasons. In general, an increased refusal and dropout rate is to be expected in online surveys32. Another reason could be the extended length of the questionnaire. Also, lack of motivation or not understanding the questions could lead to dropout. Both the gender distribution (almost exclusively female participants) and the education of midwives (predominantly midwives educated in vocational school) resulted in a selection bias. However, it must be considered that the gender distribution of midwives in Germany is mainly female33. Also, the academization of the midwifery profession in Germany is still in the early stages of development1, which is why primarily non-academic midwives participated. A different timing of the survey, when academization is further advanced, is considered reasonable. Moreover, the study design was a limitation, as there was only one measurement point. However, the performed t-tests must be considered critically. The prerequisite of homogeneity of variance was not fulfilled in the significance test for students and trainee midwives. Furthermore, it was recommended that the samples have approximately the same size and are not too small (N1=N2 ≥30)34. Both t-tests involved very different sized groups [t-test for students (n=55) and trainees (n=7), and t-test for midwives educated at university (n=18) and vocational school (n=90)]. In conclusion, the non-significant results of the t-test did not generally mean that no differences existed between the two groups of academic and non-academic midwives.

Implications for research and practice

The central finding of this study was that academic midwifery competencies were relevant for both academic and non-academic midwives, which was reflected in the single factorial solution. Moreover, there were no significant differences in the assessed relevance of academic midwifery competencies within these two groups. These findings support the relevance of academization of the midwifery profession for all midwives. Furthermore, the questionnaire could reliably and validly capture the assessed relevance of the academic competence of midwives. Based on the present publication, recommendations for future research as well as for practice could be outlined. Firstly, the prerequisites for Cronbach’s α were not completely fulfilled, which is why the reliability should be tested again with another reliability coefficient (e.g. Bollen’s ω or McDonald’s ω). Moreover, the survey instrument should be fundamentally modified. The item difficulty was not sufficient, which limits the quality of the items. Therefore, the items should be modified regarding their difficulty. In addition, the assessment instrument did not fully represent the construct. The single factor solution caused a high level of information loss. This was reflected in the elimination of items that were relevant in terms of their content. Thirdly, the t-tests should be repeated with a larger sub-sample as well as groups of equal size. Finally, a recommendation can be made regarding increased education and the inclusion of non-academic midwives in the academization of the midwifery profession. It is important to communicate the relevance of the skills taught in academic midwifery education, especially in terms of the need for evidence-based practice and the associated research skills of midwives. This is important because non-academic midwives will be midwifery educators in the academic context for several years2.

CONCLUSIONS

This work represented a fundamental step in the future design of the academization of German midwifery education. The central result of the work was that there were no significant differences in the assessed relevance of academic midwifery competencies between the two groups. Both the academic and non-academic midwives considered academic midwifery competencies to be meaningful, which was shown within the one-factor solution. The assessment has been psychometrically tested and is able to measure the assessed relevance of the academic competence of midwives in a reliable way, so that further use of the questionnaire (in a modified form) can be recommended. The findings also suggest that there is a need for educating and engaging non-academic midwives about the aims and process of academization within their profession. On the one hand, this was crucial because already licensed, practicing midwives with non-academic training needed research skills and should be able to engage with evidence to achieve quality health care31. On the other hand, non-academic midwives will be educators in the academic context for several years2. Therefore, the involvement of non-academic midwives in the process of academization in Germany is essential. There is also a need for further high-quality research, involving both lay and other professional groups in competency research for academic midwives. Additionally, the project of the University of Tübingen ‘Good Midwife’ will be continued. In the future, it will be relevant to consider these data in the context of the expectations of pregnant women in order to obtain a comprehensive picture of the expectations of midwives’ competences.