Background
22
The functional status of mothers after childbirth has implications for maternal, child, and family 23
health. There is a lack of adequate reliable and valid instruments in Ethiopia for assessing 24
women’s postpartum functional status. 25
Objective
26
This study was intended to reveal the psychometric properties of the Barkin Index of Maternal 27
Functioning (BIMF) for assessing Ethiopian mothers’ functional status. 28
Method
29
Structured interviews were used to obtain BIMF data from 202 women who had a child less than 30
1 year of age. Descriptive statistics were calculated for the BIMF items; internal consistency was 31
assessed with interitem correlations and coefficient alphas; construct validity was examined 32
through exploratory factor analyses (EFAs) after face and content validities had been confirmed; 33
and test–retest reliability was assessed with intraclass correlation coefficients (ICCs). 34
Results
35
Narrow standard deviations and significant skewness and kurtosis characterized most of the 36
individual BIMF items. Most interitem correlations were < |.15| and 13 of the 20 BIMF items 37
did not load satisfactorily on any factor in exploratory factor analyses. Two factors emerged 38
from the remaining items, one with three items and the other with four. Coefficient alphas were 39
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3
.54 for the first of these factors, .48 for the second, and .58 for all 20 items. The ICCs for test–40
retest reliability were < .40. 41
Conclusions
42
BIMF data from the sample of Ethiopian women in this study exhibited unusually low levels of 43
variability and high levels of skewness and kurtosis. Furthermore, in the context of this study, the 44
BIMF could not be regarded as reliable either in terms of internal (interitem) consistency or 45
temporal (test–retest) consistency. Researchers using the BIMF in Ethiopian contexts are advised 46
to examine the nature of their data carefully, identify the factor structure of their samples’ data, 47
and consider ways in which the index might be improved, or replaced. 48
49
Keywords
Barkin Index of Maternal Functioning, BIMF, maternal functioning, Ethiopia 50
51
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4
Introduction
52
Maternal functioning in the postpartum period is a reflection of the physical and psychosocial 53
changes associated with pregnancy and childbirth. Maternal activities, in addition to 54
physiological changes as well as individual and social activities, can make this period difficult 55
for mothers. As a result, assessing maternal functioning following childbirth can be important for 56
identifying maternal performance, productivity, and health, and can provide valuable information 57
for healthcare providers, particularly with regard to identifying mothers who might benefit from 58
supportive advice or interventions [1–3]. 59
60
Almost all of the postpartum functional status assessment tools available today were 61
developed for populations in high-income countries [4]. To date, the Inventory of Functional 62
Status After Childbirth (IFSAC) is the most widely used tool specifically designed to assess 63
several domains of maternal functioning [5]. The IFSAC contains 36 items arranged in subscales 64
encompassing five dimensions: infant care responsibilities, self-care activities, household 65
activities, social and community activities, and occupational activities. The inventory is designed 66
to assess maternal functioning from 6 to 10 weeks after childbirth with a focus on “recovery 67
from childbirth” [6]. Despite its popularity, the IFSAC has been criticized because it does not 68
account for women’s feelings or levels of satisfaction with the changes in their lives since 69
childbirth, and, as an alternative, the Barkin Index of Maternal Functioning (BIMF) was 70
recommended by its developers as a more modern, patient-centered method for assessing 71
maternal functioning [7, 8]. It is therefore the focus of this study. 72
73
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5
The BIMF is a 20-item Likert-type scale designed to capture mothers’ perceptions of their 74
functional status across the previous 2-week period at some point within the year since the birth 75
of their most-recent, or only, child. For each item, participants are offered six response options: 0 76
corresponding to “strongly disagree”, 1 to “disagree”, 2 to “slightly disagree”, 3 to “neutral”, 4 to 77
“slightly agree”, 5 to “agree”, and 6 to “strongly agree”. Items 16 and 18 are negatively worded, 78
so responses on those items are reverse coded prior to analyzing the data to ensure that higher 79
scores on the index consistently indicate higher levels of functoning. 80
81
Because of the lack of a valid means for assessing maternal functional status in sub-Saharan 82
countries, including Ethiopia, in this article we examine the validity and reliability of the BIMF 83
when used with Ethiopian mothers to identify whether the index is likely to perform 84
satisfactorily within that population. 85
86
Method
87
Study design and setting 88
A descriptive community-based study was implemented with participants from Lante District 89
within Gamo Zone, Ethiopia, situated 430 km south of the country’s capital, Addis Ababa. In 90
2020 G.C. (2012 E.C.), the district health office reported a total population of 236,600, with 436 91
mothers having a child under 1 year of age. 92
93
Participants 94
Eligible participants were women who had a child less than 1 year of age resulting from a single-95
child pregnancy; who had vaginal delivery, birth through caesarean section, or instrumental 96
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6
delivery; who had self-declared physical health; and who had self-declared absence of depression 97
or any other mental disorder during the pre-pregnancy, prepartum, and postpartum periods. 98
99
Sample size determination and sampling method 100
Sample size required to determine the factor structure of the BIMF was based on there being at 101
least 10 participants per item of the index [9]. Therefore, a sample of at least 200 mothers was 102
required. In order to attain that sample, a list of the 436 mothers who had a child less than 1 year 103
of age was obtained from the district health office. Subsequently, a sample of 202 mothers was 104
identified by using computer-generated random numbers with Microsoft Excel for Windows 10. 105
Forty of the 202 mothers were selected by the same method to comprise a retest sample for the 106
BIMF, 2 weeks after the index had initially been administered. 107
108
Questionnaire 109
A questionnaire was created that comprised questions to obtain information about the mothers’ 110
sociodemographic background (the respondent and her most-recent child’s ages, the 111
respondent’s marital status, and size of her family), obstetric characteristics (parity, number of 112
living children, mode of delivery of the most recent child, and whether or not the mother had 113
intended to become pregnant), and the BIMF. 114
115
Translation process 116
Translation and cultural adaptation of the BIMF (for example, the word “diaper” is not familiar 117
to most people in rural communities, and in Amharic is referred to as “ye shint cherq”) was 118
performed according to the minimal translation criteria of the Medical Outcomes Trust [10]. Two 119
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independent bilingual translators (one a psychologist and the other an English-language lecturer) 120
with advanced levels of English language and native Amharic-language skills translated the 121
BIMF into Amharic. In doing so, they made no changes to the items’ meanings. An English-122
language lecturer who is a native Amharic speaker and who had been blinded to the original 123
version, provided a back translation. There were no major difficulties in reconciling the back-124
translated version. Subsequently, Dr Barkin, the main researcher associated with development of 125
the BIMF, gave permission for the Amharic version of the index to be used in this research. 126
127
Face and content validity 128
After translation, the BIMF was reviewed by experts in maternity and child health and 129
reproductive health units who were not part of the study, and they identified no problems. The 130
tool was regarded as likely to be generally well understood, acceptable, and culturally 131
appropriate for all prospective respondents. 132
133
Data collection 134
Names and addresses of the 202 mothers identified as prospective participants were obtained 135
from the district health office. Five data collectors and three field supervisors who had 136
experience in conducting interviewer-administered data-collection procedures and the ability to 137
speak Amharic were recruited for data collection. The data collectors went to the mothers’ 138
homes and conducted structured interviews by using the smart-phone based Open Data Kit 139
(ODK) app. Prospective participants were provided verbal and written information about the 140
research, and were invited to ask any questions they might have. All mothers who were invited to 141
participate in the research agreed to do so. 142
143
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Data processing and analysis 144
Data were analyzed using SPSS for Windows version 25® (IBM Corp., Armonk, NY, USA). 145
Descriptive statistics were calculated for the sociodemographic variables and BIMF items. 146
Reliability associated with internal consistency was measured by interitem correlations and 147
coefficient alphas. 148
Because previous research with the BIMF had revealed marked inconsistency regarding number 149
and composition of factors in the scale [11–14], we did not conduct confirmatory factor analysis 150
as a means of identifying the structure of the data. Instead, we conducted a series of exploratory 151
factor analyses (EFAs). In doing so, we identified the number of factors with the scree test in 152
conjunction with parallel analysis based on principal components and 1,000 randomly generated 153
matrices; we used principal axis factoring as the method of extraction in conjunction with 154
promax rotations; and we regarded item loadings > |0.40| as definitely acceptable, and loadings 155
in the region of |.35| to |.40| as possibly acceptable. 156
157
In order to assess test–retest reliability, ICCs (3,1 [two-way mixed effects, single measures] 158
absolute agreement) were calculated. 159
160
Ethical considerations 161
Ethics approval was obtained from Arba Minch University’s College of Medicine and Health 162
Science Institutional Review Board (IRB/157/2020). Verbal consent was obtained from all 163
participants and recorded in conjunction with the starting time of each interview, and all 164
interviews were conducted in private. 165
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Results
166
Participant characteristics 167
All 202 mothers reported their physical health to be good, and none indicated they had a history 168
of depression or any other mental disorder during the pre-pregnancy, prepartum, and postpartum 169
periods. Their ages ranged from 15 to 38 years (M = 26.1 years, mode = 30, SD = 4.7), their 170
children’s ages ranged from 1 to 12 months (M = 6.7 months, mode = 11, SD = 3.7), their 171
number of pregnancies ranged from 1 to 9 (M = 2.4, mode = 1, SD = 1.5), their number of 172
children ranged from 1 to 8 (M = 2.31, mode = 1, SD = 1.40), and the size of their households 173
ranged from 2 to 12 (M = 4.6, mode = 4, SD = 1.7). Other participant characteristics are shown in 174
Table 1. 175
Table 1. Participant characteristics. 176
Variable Category Number Percent
Age of the mother/
caregiver (in years)
≤ 24 73 36.1
25 – 30 103 51.0
≥ 31 26 12.9
Age of most recent or
only child
< 2 months 20 9.9
2 – 6 months 76 37.6
≥ 6 months 106 52.6
Marital status Single 9 4.5
Married 191 94.6
Divorced or
widowed 2 1
Family size
≤ 3 58 28.7
4 – 6 115 56.9
≥ 7 29 14.4
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Parity Primipara 69 34.2
Multipara 133 65.8
Number of living
children
≤ 3 165 81.7
≥ 4 37 18.3
Mode of delivery Vaginal 164 81.2
Caesarean 25 12.4
Instrument 13 6.4
Pregnancy intention Intended 175 86.6
Unintended 27 13.4
177
178
Item characteristics 179
Means, SDs, and indicators of skewness and kurtosis on the 20 BIMF items at Time 1 are 180
provided in Table 2. On all but one of the items, the means were above the midpoint of the 181
option range, indicating a tendency among participants to believe they were functioning 182
effectively as mothers. The exception was Item 18, on which, prior to reverse coding, the 183
participants indicated they were often anxious or worried about fulfilling their maternal 184
responsibilities. Twelve of the items had SDs < 1.0; 18 items were significantly skewed (two 185
positively, 16 negatively); and 15 items were significantly kurtotic (12 leptokurtic, three 186
platykurtic). Twelve items were significantly negatively skewed as well as being significantly 187
leptokurtic. 188
189
Table 2. Descriptive statistics for items on the Barkin Index of Maternal Functioning. 190
Itema Mean SD Skew-
ness
zb
Kurto-
sis
zb
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1 I am a good mother. 5.2 .46 4.3 0.2
2 I feel rested. 5.0 .91 −16.2 33.7
3 I am comfortable with the way I’ve chosen to
feed my baby (either bottle or breast or both). 5.0 .55 −15.1 54.4
4 My baby and I understand each other. 5.2 .58 −0.2 −0.7
5 I am able to relax and enjoy time with my baby. 5.4 .69 −5.6 4.7
6 There are people in my life that I can trust to
take care for my baby when I need a break. 4.6 1.25 −12.0 10.6
7 I am comfortable allowing a trusted friend or
relative to care for my child (can include baby’s
father or partner). 4.7 1.29 −11.9 10.1
8 I am getting enough adult interaction. 4.9 .61 −7.4 22.4
9 I am getting enough encouragement from other
people. 4.7 .80 −13.4 26.4
10 I trust my own feelings (instincts) when it comes
to taking care of my baby. 3.5 2.00 −3.9 −3.8
11 I take a little time each week to do something for
myself. 3.1 1.84 −1.3 −4.9
12 I am taking good care of my baby’s physical
needs (feeding, “ye shint cherq”, and keeping
doctor’s appointments). 5.2 .80 −15.4 40.7
13 I am taking good care of my physical needs
(eating, showering, etc.). 5.0 .79 −7.8 13.3
14 I make good decisions about my baby's health
and well being. 4.9 .71 −11.1 26.7
15 My baby and I are getting into a routine. 3.6 1.83 −3.4 −4.1
16 I [do not] worry about how other people judge
me (as a mother). 4.2 1.70 −7.2 −0.2
17 I am able to take care of my baby and my other
responsibilities. 4.8 .96 −14.8 25.7
18 Anxiety or worry [seldom interfere] with my
mothering ability. 2.1 1.73 6.3 −1.4
19 As time goes on, I am getting better at taking
care of my baby. 4.8 1.03 −11.7 19.7
20 I am satisfied with the job I am doing as a new
mother. 5.5 .63 −4.3 −1.3
a Responses to Items 16 and 18 have been reverse coded to attain the meaning created by bracketed text. 191
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b The z values for skewness and kurtosis are based on original skewness and kurtosis values divided by 192
their respective standard errors. If these z values exceed |3.29| when N = 50 to 300, they indicate 193
statistically significant skewness or kurtosis [15]. 194
195
Interitem correlations and factor structure 196
None of the 190 interitem correlations exceeded .50, and only 37% of those correlations lay in 197
the .15 to .50 range recommended by Clark and Watson [16]. Among the remaining 63% of the 198
interitem correlations, 17% were negative, with the strongest being −.29. Despite this generally 199
low, and sometimes inverse, level of association between the items, the Kaiser–Meyer–Olkin 200
(KMO) index was .72 and Bartlett’s test of sphericity was significant (p 1, but 202
the scree plot indicated there were four factors in the data (see Fig 1), as did parallel analysis. We 203
therefore conducted an initial EFA constrained to four factors. In this solution, nine items loaded 204
uniquely on one of the factors at > |.40|, three items had cross loadings on two of the factors, and 205
the remaining eight items failed to load on any factor at > |.37|. Only 42.56% of the variance was 206
accounted for by the four factors. 207
208
[Fig1. Scree plot based on all 20 BIMF items.] 209
210
Follow-up EFAs were conducted in order to attain the most satisfactory and interpretable 211
outcome. When nonloading items, cross-loading items, and items that loaded only on single-item 212
factors were successively removed, seven items were retained, among which 53.09% of the 213
variance was accounted for, but the extraction communalities were generally low (maximum = 214
.55, mean = .35, with Items 20 and 18 exceptionally low at .23 and .13, respectively). All seven 215
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items loaded at > .39 on one of two factors, although two items cross loaded with a difference ≤ 216
.20. See Table 3. Items 13, 14, and 17 loaded on a factor that we labeled Decision Making and 217
Practicalities, and Items 5, 16, 18, and 20 loaded on the other factor, which we labeled 218
Confidence, Enjoyment, and Satisfaction. 219
220
Table 3. Item loadings on the two-factor solution.a 221
Item # Item b Factor 1 Factor
2
14 I make good decisions about my baby’s health and well-being. .74
17 I am able to take care of my baby and my other
responsibilities. .56 −.40
13 I am taking good care of my physical needs (eating, showering,
etc.). .52
16 I [do not] worry about how other people judge me (as a
mother). .64
5 I am able to relax and enjoy time with my baby. .32 .52
20 I am satisfied with the job I am doing as a new mother. .42
18 Anxiety or worry [seldom interfere] with my mothering ability. .39
222
a Loadings < |.30| are not shown. 223
b Wording of Items 16 and 18 was altered, as shown in bracketed text, to reflect prior reverse coding. 224
225
Consonant with the practice of several other researchers [11, 13, 14], we calculated a score for 226
each subscale by adding responses on their respective items, and we calculated a composite total 227
by adding responses to all 20 items. In order to confer meaning to participants’ responses in 228
relation to the range of response options, we also divided these totals by the number of items on 229
which each score was based. The results are shown in Table 4. 230
231
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Table 4. Means, standard deviations, and obtainable ranges on composite factor and total 232
scores.a 233
Unadjusted scores Adjusted scores
BIMFb component and items Mean ( SD) Obtainable
range
Mean (SD) Obtainable
range
Decision Making and Practicalities
(Items 13, 14, 17)
14.74 (1.79)
0–18
4.91 (0.60)
0–6
Confidence, Enjoyment, and
Satisfaction (Items 5, 16, 18, 20)
17.08 (1.79)
0–24
4.27 (0.81)
0–6
Total (Items 1 to 20) 91.11 (7.76) 0–120 4.56 (0.39)
0–6
234
a Unadjusted scores are based on addition of mothers’ responses; adjusted scores were obtained by 235
dividing the unadjusted scores by the relevant number of items. 236
b Barkin Index of Maternal Functioning 237
238
The means of the adjusted scores on both factors as well as the composite total indicate that 239
the mothers tended to respond with options of somewhat agree (4) or agree (5). However, 240
relative to the first factor (Decision Making and Practicalities), the means and SDs indicated that 241
self-perceptions of maternal functioning were lower and more varied on the second factor 242
(Confidence, Enjoyment, and Satisfaction). Scores on the first factor were significantly skewed 243
(−11.76) and kurtotic (21.9), and the total score was significantly skewed (−3.4). 244
245
Coefficient alphas were .54 for Decision Making and Practicalities, .48 for Confidence, 246
Enjoyment, and Satisfaction, and .58 for all 20 items. 247
248
Test–retest results 249
The ICC for Confidence, Enjoyment, and Satisfaction could not be calculated satisfactorily 250
because of negative average covariance among the items (Pearson’s r of −.04 was calculated as a 251
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substitute for the ICC). The ICC for Decision Making and Practicalities was .14 [95% CI −.18–252
.43], and the ICC for the total score across all 20 items was .36 [95% CI .06–61]. 253
254
Discussion
255
To the authors’ best knowledge, this is the first examination of the BIMF in an Ethiopian 256
context. The research has several desirable foundations. Face and content validity of the BIMF 257
were assessed and regarded as satisfactory; random sampling was used to obtain participants; the 258
sample included women who gave birth by vaginal delivery, instrument, and caesarean section, 259
and who were primiparous as well as multiparous, suggesting that the results were not likely to 260
be unique to a specific group of mothers; the sample was sufficiently large for identifying the 261
factor structure of the data; and an attempt was made to identify test–retest reliability. 262
263
Three aspects of the raw data are noteworthy and might carry implications for assessing the 264
suitability of the BIMF in Ethiopian settings. First, with the exception of Item 18 (referring to 265
mothers’ worry or anxiety), the participants’ responses on individual items suggest a moderate to 266
high level of maternal functioning. Whether that is an accurate indication would require 267
independent assessment, which was not conducted in this research. However, some reassurance 268
might be taken from the mean of 91 on the 20 BIMF items in this research being similar to the 269
mean of the 20 items in research where samples were composed solely of mothers who were not 270
depressed [13, 17]. Furthermore, in samples that include a large proportion of mothers diagnosed 271
with depression and who could therefore be expected to have lower 20-item BIMF scores, the 272
mean based on those items has indeed been lower, for example, ranging from 81 down to 63 [7, 273
11, 17, 18]. However, in a sample of mothers, 46% of whom had been assessed as experiencing 274
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16
depression, the 20-item BIMF score was considerably higher, at 104 [19]. Unfortunately, this 275
range of 40 points on the total BIMF score in samples with mothers who experience depression 276
makes it difficult to place confidence in the meaning of the 20-item BIMF score when seeking to 277
gain a definitive overview of mothers’ functioning, and the composite score of 91 in this research 278
therefore provides little reassurance in relation to validity of the BIMF in an Ethiopian setting. 279
280
The second noteworthy aspect of the data is the lack of variability among the mothers’ 281
responses. This was evident in 60% of the SDs on individual items being < 1.00 despite the 282
availability of seven response options. In contrast, only two of the SDs were < 1 on the 20 items 283
in the foundational psychometric research with the BIMF [11]. Furthermore, the SD of the 284
composite score based on all 20 items in this research was 7.76 compared with noticeably wider 285
SDs, ranging from 10.8 in some research [20] up to 17.1 in other research [7]. 286
287
This smaller amount of variation in the mothers’ responses in the present study presents 288
interpretative and empirical difficulties for three reasons. First, if there is genuine lack of 289
variability, statistics such as correlations, factor analysis, and coefficient alpha—all of which rely 290
on variability—are likely to yield misleading results. Second, if the lack of variability has a 291
foundation in some kind of distorting BIMF-related artifact within Ethiopian samples (e.g., the 292
cognitive burden on the mothers having to remember what occurred during the previous 2 weeks 293
might have created a degree of bluntness in their responses), the nature of that artifact would 294
need to be identified and addressed. Third, if the lack of variability is likely to be a chance 295
occurrence, other studies need to be conducted with the prospect that their data would contain a 296
greater spread of maternal self-impressions. 297
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298
The third noteworthy aspect of the data is most items having distributions that were 299
significantly skewed or kurtotic, or both, which was accompanied by one of the factors and the 300
20-item composite score having negatively skewed distributions. These results could be genuine 301
reflections of the mothers’ self-perceptions, and therefore are interesting findings in themselves. 302
However, in combination with the minimal variation in responses to the 20 items, the skewed 303
and kurtotic distributions might also have influenced the EFA outcome, coefficient alpha values, 304
and the test–retest results. 305
306
We are aware of no other research in which a similar BIMF factor structure emerged. 307
Although two factors have been found in some other studies [11, 14], the factors in those studies 308
comprised different items and were therefore conceived of as being different and were labeled 309
differently. Our results are also distinctive in that 13 of the 20 BIMF items failed to load on any 310
factor, probably because most interitem correlations were < |.15|. An additional feature of our 311
Results
is Items 16 and 18 having loaded on one of our factors (Confidence, Enjoyment, and 312
Satisfaction), but having loaded on none of the factors in some other research [11, 12, 14]. 313
314
Although inconsistencies in factor structure could result from differences in the nature of 315
samples, particularly when cultural differences exist, some inconsistency between our findings 316
and the findings in other research is likely to result from principal components analysis versus 317
EFA being employed as a data-reduction strategy; different procedures (the Kaiser criterion, 318
scree plots, or parallel analysis) being used for identifying the number of factors in the data; the 319
Method
used for extraction (e.g., maximum likelihood or principal axis factoring); whether or not 320
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18
the factors were rotated; the method employed for rotation (orthogonal versus oblique)—if factor 321
rotation occurred at all; and whether or not a sequence of EFAs was used to attain greater factor 322
clarity by successively deleting poorly performing items. Publications about the BIMF provide 323
little or no information about these procedures when data-reduction analyses have been 324
conducted despite some procedures having substantial implications for the outcomes. 325
326
In this research, we believe we engaged in best-practice data-reduction procedures [21–26], so 327
the results are likely to have been dependent on the nature of the data, not deficiencies in the 328
Method
of analysis. That aside, the EFA results in this research are not impressive. Not only 329
were loadings on 13 of the 20 BIMF items so low that most of the index’s items were discarded, 330
but also the remaining seven items had low communalities despite accounting for 53.1% of the 331
variance. Furthermore, two of the seven items cross loaded on the two factors that emerged. 332
Under these circumstances, one solution involves focusing on the composite score based on all 333
20 items, but mothers with similar scores could have noticeably different profiles and therefore 334
noticeably different needs in relation to healthcare as well as correlates in research contexts, so 335
the value of that score is limited. 336
337
In addition to differences in factor structure, our results differ in several ways from the results 338
obtained in other studies. The coefficient alpha across all 20 items in our data was unusually low 339
at .58 compared with alphas of .87 and .83 in samples of American mothers [7, 11, 19] and, at 340
.36, the test–retest ICC for the 20-item composite score in this research indicated much poorer 341
test–retest reliability than was indicated by the ICC of .80 obtained in a study conducted with 342
Iranian mothers [14]. The above differences, in which the psychometric features of the BIMF in 343
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19
this research are not only less impressive than are results reported in other BIMF research but are 344
also unimpressive according to conventional criteria, are almost definitely attributable to limited 345
data variability in this study [27, 28]. 346
347
Although not directly associated with our examination of the BIMF, the absence of self-348
reported depression among the mothers in this research might be important. Other research has 349
indicated that perinatal depression is likely to be approximately 13% among mothers in middle- 350
and low-income countries in general [29] and in Ethiopia, specifically [30], and as high as 33% 351
in rural parts of Ethiopia [31]. The discrepancy between those statistics and the mothers’ self-352
reports in this research suggests that responses on the BIMF in this research might be regarded 353
with a degree of reservation despite the mothers having been assured by the data collectors of 354
confidentiality concerning their responses in order to discourage them from creating an 355
inaccurately favorable impression. 356
357
Conclusions
358
This study provides ambiguous evidence concerning the reliability and validity of the BIMF in 359
an Ethiopian setting, largely because it is difficult to identify whether the generally high and 360
similar self-perceptions of mothers were genuine and might also have been idiosyncratic to our 361
specific sample. 362
363
The ambiguity could lead to incorrect conclusions that, in Ethiopian samples, the BIMF’s 364
items carry little association with each other; that there are only two factors within the BIMF, 365
each with only a small number of items; and that the index’s test–retest reliability is poor. 366
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20
Because these conclusions might be proved untenable if data were obtained from other samples, 367
including samples with a greater dispersion among responses, the BIMF may be appropriate in 368
other Ethiopian contexts. Furthermore, with more variation in the data there is a prospect that 369
additional, or more substantial, factors would emerge. 370
371
Because the two factors that emerged from the EFAs were dissimilar to factors found in other 372
research, and because of evident volatility in the factor structure of the BIMF revealed by other 373
studies, further use of the BIMF in an Ethiopian context should involve examination of the factor 374
structure for the particular sample(s) on which that research is conducted. Furthermore, because 375
our research indicates that the index could not be regarded as reliable either in terms of internal 376
(interitem) consistency or temporal (test–retest) consistency, prospects for improving the index 377
might be considered—although with the proviso that permission to modify the index had been 378
granted [32]. 379
380
The seven BIMF items that loaded on two factors in this research might be used to explore 381
aspects of decision making and practicalities, as well as aspects of enjoyment and satisfaction, 382
among Ethiopian women concerning their maternal role in the postpartum period. However, 383
given the volatility of the BIMF factor structure, those two factors might not feature in data from 384
other samples. Furthermore, if only those seven items were used, important aspects of 385
motherhood such as mother–infant interaction, self-care, and social support would not be 386
assessed, and this raises the possibility that, when face and content validity were assessed at the 387
start of this research, too much consideration was given to endorsing the items within the BIMF 388
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21
without considering aspects of motherhood that were underrepresented, inappropriately 389
represented, or not represented at all — at least for an Ethiopian context. 390
391
In summary, this research demonstrates that the BIMF should be used with a degree of 392
caution in Ethiopian contexts and that, if researchers want to use it, they should anticipate 393
obtaining sufficiently large samples to be able to conduct EFAs to identify the factor structure of 394
the data produced by those samples and also consider ways in which the index might be modified 395
if doing so is likely to result in more varied responses — with the underlying proviso that the 396
greater variability was associated with genuine differences in self-perception. An alternative 397
course of action would be to seek, or create, instruments that provide greater applicability and 398
usefulness for assessing maternal functioning in Ethiopian contexts. 399
400
Acknowledgements
401
The authors thank the participants for their valuable information and the data collectors and 402
supervisors for their commitment to this research. We also extend our gratitude to Arba Minch 403
University for support and opportunities provided for us to conduct this study. 404
405
Abbreviations and acronyms 406
BIMF: Barkin Index of Maternal Functioning 407
EFA: exploratory factor analysis 408
ICC: intraclass correlation coefficient 409
IFSAC: Inventory of Functional Status After Childbirth 410
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