Literature DB >> 34660419

Comparison of knowledge and skills of Home-Based Newborn Care (HBNC) among Accredited Social Health Activists (ASHA) and health workers (SAKHI) of Ambuja Cement Foundation.

Ajay Gajanan Phatak1, Somashekhar M Nimbalkar2, Abhijit S Prabhughate3, Anagha A Mahajani3, Satvik C Bansal2.   

Abstract

CONTEXT: Ambuja Cement Foundation (ACF) started replicating the famous "Gadchiroli" model to reduce neonatal mortality in Chandrapur in 2005. ACF conducted the Home-Based Newborn Care (HBNC) model through trained female health workers, viz., "SAKHIs." In 2008, Government of India introduced community health worker, viz., Accredited Social Health Activist (ASHA). ACF withdrew its services steadily and few SAKHIs were hired as ASHAs. AIMS: We assessed and compared the knowledge level and skills of trained ASHA workers with SAKHIs in providing HBNC. METHODS AND MATERIAL: A cross-sectional study was conducted in three blocks of Chandrapur district of Maharashtra, India. A structured questionnaire consisting of 34 questions was used for knowledge assessment and checklists assessed hand washing, weight recording, temperature recording, kangaroo mother care (KMC) position, suction and bag and mask ventilation (BMV) skills on manikins.
RESULTS: 135 healthcare workers participated. The mean (SD) score of current SAKHIs (23.89 (1.9) was significantly higher than former SAKHIs (currently ASHAs) (17.97 (2.92), former SAKHIs (currently not engaged in HBNC) (16.73 (2.95) and ASHAs not worked as SAKHIs in the past (16.19 (3.19) [all P < 0.001]. Similar trend was seen in all skill sets. The skills of ASHAs not worked as SAKHIs previously were abysmal, with no ASHA being able to perform BMV and KMC skills, and only 4 (7.5%) who could perform suctioning. A typical trend was observed with current SAKHIs faring best followed by former SAKHIS (currently ASHAs), former SAKHIs (currently not in HBNC), and ASHAs not worked as SAKHIs faring worst.
CONCLUSION: The skills and knowledge of ASHA workers are far deficient compared to SAKHIs despite similar training components, potentially hampering neonatal mortality reduction. Quality of training and supportive supervision mechanism of ASHAs should be explored. Copyright:
© 2021 Journal of Family Medicine and Primary Care.

Entities:  

Keywords:  ASHA; home-based newborn care; knowledge; skills

Year:  2021        PMID: 34660419      PMCID: PMC8483107          DOI: 10.4103/jfmpc.jfmpc_1761_20

Source DB:  PubMed          Journal:  J Family Med Prim Care        ISSN: 2249-4863


Introduction

Despite witnessing major improvements in maternal and childcare especially in the last decade, India missed the Millennium Development Goals (MDGs) targets 4 and 5. With about 0.76 million neonatal deaths per year, India has maximum neonatal deaths in the world. Unfortunately, the reduction in neonatal mortality rate is slower as compared to Infant Mortality Rate (IMR) and under 5 Mortality Rate, resulting in increased proportion of neonatal mortality in overall childhood mortality.[1] The latest figures reveal that neonatal mortality contributes to 70% of infant mortality and 57% of under-five mortality.[2] Neonates and under 5 children die of preventable diseases like sepsis, asphyxia, prematurity and low birth weight, pneumonia, diarrhea, etc., with poor nutritional status contributing to the vicious cycle.[3] The present scenario suggests that India should move forward and try to achieve Sustainable Development Goals of Health 2035 by continuing to replicate proven interventions coupled with improving delivery mechanisms and coverage. A significant development in the last decade was the replication of the home-based newborn care (HBNC) model that was developed by Dr. Abhay Bang. This model provided the theoretical framework for reduction in neonatal mortality through HBNC.[4] This model has been successfully replicated within and outside India with some relevant contextual changes.[5] The learnings from the model have been incorporated in the National Rural Health Mission (NRHM), a systemic health reform launched by the Government of India in 2005. A key strategy under NRHM has been the development of a workforce of community health worker (CHW), viz., Accredited Social Health Activist (ASHA) with a goal of increasing community participation and access to the healthcare system.[6] To tackle high neonatal mortality, HBNC guidelines were released in 2011 and ASHA workers were mobilized for providing maternal and immediate newborn care. The guidelines were revised in 2014 and expect ASHAs to make timely institutional referral during pregnancy and home visits to promote and provide essential newborn care, identify illness, and refer infants if needed.[7] For the training of ASHA workers, new modules (6 and 7) focusing on development of specific competencies in maternal and newborn care have been introduced. The training plan consists of a total of 20--24 days, in four rounds of 5 or 6 days each.[8] Ambuja Cement Foundation (ACF) is the Corporate Social Responsibility wing of Ambuja Cements Ltd. that works with the rural communities surrounding Ambuja's manufacturing sites. It is a non-profit organization listed as a credible NGO in India by Indian Institute of Corporate Affairs. Participatory needs assessment study in the surrounding villages of Ambuja's unit at Gadchandur, Chandrapur, Maharashtra, revealed that very high infant and maternal mortality in villages of three blocks, namely, Rajura, Korpana, and Jiwati was the main concern of the community. To address the issue, ACF initiated HBNC program in 2005 by training women as community health workers (CHW), who were called SAKHIs (literally meaning “Female Friend”), in three blocks of select villages of Chandrapur district in Maharashtra. Initiated in only 12 villages in 2005, the program was scaled up to include 160 villages by 2009, and subsequently it was scaled down as NRHM was rolled out and ASHAs were recruited in many villages. The program was scaled down to avoid duplication of work by SAKHI and ASHA in the same village, and also because some SAKHIs were absorbed as ASHAs through NRHM. Presently, SAKHIs continue to provide HBNC in 13 villages that are remotely located with lesser access to health care in Jiwati Block. After focusing on service for almost a decade, ACF decided to evaluate the impact of the HBNC program. The main intention was to capture learning's from the experience to facilitate development of a replicable model in the region. ACF invited Central Research Services (CRS) of the Charutar Arogya Mandal, Karamsad, Gujarat, an independent research organization affiliated with an academic institution for evaluation of the HBNC program. CRS team made a field visit and interacted with ACF supervisors, SAKHIs and ASHAs. The verbal and non-verbal communication revealed that SAKHIs are more confident, vocal, and empowered compared to ASHAs. The concurrent development of ACF's HBNC program and NRHM's deployment of ASHAs for providing HBNC offers an opportunity to understand, from two different program contexts, the extent to which CHWs acquire the knowledge and skills required for effectively providing HBNC. It also provides a unique opportunity to identify pros and cons of both the systems–from training to delivery that may guide developing a new system which is more effective than both the systems. One of the research options included a cross-sectional study which was conducted to assess and compare the knowledge and skills of SAKHIs and ASHAs in delivering HBNC.

Methods

Study settings: A cross-sectional study was conducted in Korpana, Rajura, and Jiwati blocks of Chandrapur district of Maharashtra, India during November, 2015 after acquiring permission from state health care authorities. Sample size: The main comparison of knowledge and skills was between female health workers trained by ACF (SAKHIs) and Government health system (ASHAs). In absence of any baseline information on knowledge level, a sample size of 44 per group was required to attain a power of 80% at 5% alpha considering a moderate effect size of 0.60. Information gathered (not included in the study) through field observations and interactions with SAKHIs, ASHAs, and ACF implementation team revealed that SAKHIs perceive themselves far better than ASHAs even in basic skills like hand washing, weight measurement, and temperature measurement. Considering SAKHIs perception regressively, we hypothesized that 80% SAKHIs and 50% ASHAs have adequate basic skills mentioned above. With these proportions, a sample size of 39 per group was required to attain a power of 80% at 5% alpha level. Considering a response rate of 70--80%, the sample size was increased accordingly. To further understand the effect of transition of SAKHIs, they were divided into three groups, viz., current SAKHIs, former SAKHIs (currently ASHAs), and former SAKHIs (currently not engaged in HBNC). In general, 50--60 participants were invited in all the groups depending on availability. Sampling: All the villages of Korpana, Rajura, and Jiwati blocks were mapped to identify the four categories of respondents. SAKHIs who were converted to ASHAs and SAKHIs who are not currently engaged in HBNC were selected randomly. All the 13 SAKHIS currently working on HBNC program run by ACF in Jiwati block were included. ASHAs were selected randomly from villages that were not proximate to villages where ACF had implemented or is currently implementing the HBNC program to minimize contamination. STATA (14.2) was used for randomization. Assessment: A structured questionnaire to assess knowledge levels was prepared by CRS team based on the training modules 6 and 7. It consisted of 30 multiple-choice questions with one correct answer and 4 direct objective questions. It was translated into vernacular (Marathi) language and back translated to ascertain quality of translation. It was pre-tested on six SAKHIs who were not included in the study. The SAKHIs and ASHAs were evaluated for skills of hand washing, weight recording, temperature recording, kangaroo mother care (KMC) position, and bag and mask ventilation (BMV). The checklists used for hand washing, measuring temperature, and weighing the baby were as per Annexure 7, 8, and 9 of training module 6, respectively. The checklists for BMV and KMC were prepared according to the Navjat Shishu Suraksha Karayakam (NSSK) manual.[9] All the five checklists were circulated among 10 experienced pediatricians from Anand and critical steps were identified for each skill. The assessment of skills was done using a manikin and the assessor posed as a family member during assessment of KMC position. Each participant received one point for correctly performing a step and zero points for not performing/incorrectly performing a step. Performance in a particular skill was considered satisfactory if a participant correctly performed at least 80% of the enlisted steps without missing any critical step of the skill. Self-reported field performances of these health workers (SAKHIs as well as ASHAs) over the past 1 year in maternal and neonatal health, as well as sociodemographic variables such as age, experience, education, etc., were collected. All the participants were apprised regarding the study in local language (Marathi) and included in the study only after obtaining a written informed consent. All the participants who completed the assessment were paid INR 250/- (~US$4) as a compensation for a lost workday along with the actual travel cost. English version of all the study tools is provided in . People from the local community with minimum 10 + 2 years of education were invited as independent assessors. Out of 15 applicants, 12 were selected based on performance in an interview. CRS team conducted a training program for the 12 independent assessors during 6--8 October, 2015. The training included basic knowledge about post-natal care through lectures followed by a demonstration of skills to be assessed. Hands-on training during the assessment was provided by six SAKHIs not included in the study. The assessors were evaluated for their evaluation skills by the SAKHIs as well as the Supervisory Staff of ACF. Bias: The ACF team was not involved in the design of assessment tools, sampling, and the assessment procedure. The data was collected by independent assessors who were associated with neither ACF, nor with CRS. The CRS team received the data with codes for SAKHI/ASHA and the codes were revealed only after all the data analysis was complete. Statistical Analysis: Descriptive statistics [Mean (SD), Frequency (%)] was used to depict the knowledge and skills, sociodemographic variables, and self-reported field performance of the participants. Analysis of variance (ANOVA) with post-hoc comparisons was used to compare the knowledge level across groups. Chi-square test was used to compare the skills across groups. The data was analyzed using STATA SE (14.2). The joint ethics committee of Narotam Sekhsaria Foundation approved the study.

Results

All 13 SAKHIs of Jiwati block currently working on HBNC project and all 41 SAKHIs who were absorbed as ASHA were invited to participate in the study. Randomly selected 60 SAKHIs not performing HBNC work currently and 60 ASHAs were also invited. A total of 12 of 13 current SAKHIs, 34 of 41 former SAKHIs (converted to ASHA), 52 of 60 former SAKHIs (not involved in HBNC currently), and 53 of 60 ASHAs (trained by Government health system only) responded. During the data cleaning process, it was observed that four ASHAs who participated in the study had not been trained in module 6 and 7 of the NRHM. Further one current SAKHI was anxious during the skill assessment by a stranger and despite emotional support offered by ACF supervisor, she was unable to remain calm and comfortable. While distributing the compensation, ACF supervisors identified two current SAKHIs who should not have been invited. One had tuberculosis and had not attended any refresher course meeting of ACF in the last 6 months. The other SAKHI had been unemployed for the last 3 years and had rejoined just 1 month ago. Therefore, it was decided not to include these seven records in the final analysis for above-mentioned reasons. Finally, nine current SAKHIs, 34 former SAKHIS (converted to ASHA), 52 former SAKHIs (not involved in HBNC currently), and 49 ASHAs were included in the analysis. The mean (SD) age of the participants was 34 (6.4), whereas the mean (SD) experience was 6.3 (2) years. Most of the participants [134 (95%)] were married. The age, experience, and marital status were very similar across groups [Table 1].
Table 1

Profile of study participants

Current SAKHIs (n=9)Former SAKHIS (currently ASHAs) (n=34)Former SAKHIs (currently not engaged in HBNC) (n=51)ASHAs (trained by Government health system only) (n=49)Overall P
Current Age33.3 (8.7)34.5 (6.1)34.7 (7.0)33.1 (5.4)34 (6.4)0.61
Age When Start Work27.1 (8.8)27.6 (5.4)28.3 (6.9)27.2 (5.3)27.7 (6.2)0.82
Experience (in yrs.)6.2 (0.7)6.8 (2.9)6.4 (1.8)5.9 (1.8)6.3 (2.0)0.23
Marital Status
 Married9 (100%)29 (90.6%)51 (98.1%)45 (93.8%)134 (95%)0.19
 Divorced02 (6.3%)002 (1.4%)
 Widow01 (3.1%)1 (1.9%)3 (6.3%)5 (3.5%)
Profile of study participants The mean (SD) total score on basic knowledge of maternal and childcare of current SAKHIs [23.89 (1.9)] was significantly higher than those of former SAKHIs (currently ASHAs) [18 (2.9)], former SAKHIs (currently not engaged in HBNC)[16.23 (3.1)], and ASHAs (trained by Government health system only) [16.24 (3.2)] [all P < 0.001] [Table 2] [Figure 1].
Table 2

Basic Knowledge of maternal and child care

Current SAKHIs (n=9)Former SAKHIS (currently ASHAs) (n=34)Former SAKHIs (currently not engaged in HBNC) (n=52)ASHAs (trained by Government health system only) (n=49)
When should the pregnant women get registered in antenatal clinic04 (11.8%)11 (21.2%)4 (8.2%)
How many antenatal check-ups are minimum necessary after initial registration8 (88.9%)7 (20.6%)30 (57.7%)19 (38.8%)
Birthweight of new born baby should be measured by9 (100%)32 (94.1%)45 (86.5%)43 (87.8%)
When to start breast-feeding8 (88.9%)34 (100%)51 (98.1%)49 (100%)
How long exclusive breast-feeding is necessary9 (100%)34 (100%)44 (84.6%)46 (93.9%)
When to start complementary feeding9 (100%)34 (100%)49 (94.2%)46 (93.9%)
Meconium should be passed within hours9 (100%)33 (97.1%)50 (96.2%)48 (98%)
Urine should be passed within hours001 (1.9%)1 (2%)
Following are the danger signs in sick neonates for referral except9 (100%)12 (35.3%)22 (42.3%)16 (32.7%)
Following are steps to be followed during referral of sick neonate to the PHC except9 (100%)15 (44.1%)29 (55.8%)14 (28.6%)
Vegetables, fruits, ghee, milk and jiggery will harm pregnant women9 (100%)31 (91.2%)47 (90.4%)43 (87.8%)
Birthweight below which risk of getting sick is considered very high07 (20.6%)3 (5.8%)4 (8.2%)
Abnormal baby is born in a facility, how long should the mother be advised to stay in the hospital, if there are no complications to either of them07 (20.6%)9 (17.3%)16 (32.7%)
For abnormal weight baby born at home, minimum visits in the first month should be1 (11.1%)12 (35.3%)18 (34.6%)29 (59.2%)
To declare a baby as still-birth when should a baby be assessed8 (88.9%)21 (61.8%)26 (50%)25 (51%)
After birth, the soft white substance with which the baby is covered, should be immediately removed9 (100%)24 (70.6%)14 (26.9%)16 (32.7%)
When should the examination of the baby done9 (100%)34 (100%)50 (96.2%)48 (98%)
Range of birthweight coming in yellow zone5 (55.6%)9 (26.5%)17 (32.7%)10 (20.4%)
Which zone babies can be managed at home8 (88.9%)7 (20.6%)16 (30.8%)15 (30.6%)
If there is pus discharge from the eyes, how many days antibiotic ointment is to be applied9 (100%)11 (32.4%)17 (32.7%)10 (20.4%)
How frequently mother should breastfed her child in 24 h1 (11.1%)13 (38.2%)14 (26.9%)17 (34.7%)
Minimum adequate weight gain per week after first week of life in normal new born9 (100%)28 (82.4%)37 (71.2%)31 (63.3%)
Which of the following conditions can affect the breastmilk supply7 (77.8%)14 (41.2%)11 (21.2%)16 (32.7%)
Above what temperature baby is considered to have fever9 (100%)21 (61.8%)15 (28.8%)15 (30.6%)
Below what temperature baby is considered getting too cold9 (100%)30 (88.2%)24 (46.2%)29 (59.2%)
Criteria of a high risk baby include3 (33.3%)14 (41.2%)14 (26.9%)17 (34.7%)
High risk babies should be breastfed9 (100%)33 (97.1%)49 (94.2%)43 (87.8%)
Minimum weight after which baby can be given a bath01 (2.9%)2 (3.8%)3 (6.1%)
Tell parents to call you immediately in all the following conditions except9 (100%)14 (41.2%)26 (50%)24 (49%)
When will you continue visiting once a week in the second month8 (88.9%)23 (67.6%)32 (61.5%)32 (65.3%)
Mature milk can be stored at room for how much time8 (88.9%)12 (35.3%)14 (26.9%)11 (22.4%)
How much milk is to be given to the LBW on the first day6 (66.7%)7 (20.6%)8 (15.4%)6 (12.2)
Dose and duration of co-trimaxozole to be given to preterm babies with neonatal sepsis0002 (4.1%)
Umbilical cord should be kept clean and dry9 (100%)34 (100%)49 (94.2%)48 (98%)
Total Score (Mean (SD)) out of 3423.89 (1.9)18 (2.9)16.23 (3.1)16.24 (3.2)
Overall P Value for ANOVA<0.001
Figure 1

Box plot depicting performance of SAKHIs and ASHAs. Current SAKHI: SAKHI Still working with ACF. Former SAKHI 1: SAKHI previously worked with ACF but now Absorbed as ASHA in Government Health System. Former SAKHI 2: SAKHI previously worked with ACF but not involved in HBNC currently. ASHA: Accredited Social Health Activist working in and trained by Government Health System

Basic Knowledge of maternal and child care Box plot depicting performance of SAKHIs and ASHAs. Current SAKHI: SAKHI Still working with ACF. Former SAKHI 1: SAKHI previously worked with ACF but now Absorbed as ASHA in Government Health System. Former SAKHI 2: SAKHI previously worked with ACF but not involved in HBNC currently. ASHA: Accredited Social Health Activist working in and trained by Government Health System The mean (SD) scores on objective structured clinical examination (OSCE) as well as the % having satisfactory skill levels of current SAKHIs were significantly higher than others in all the skill sets evaluated. A typical trend was observed in which current SAKHIs fared best followed by former SAKHIS (currently ASHAs) followed by former SAKHIs (currently not engaged in HBNC), with ASHAs (trained by Government health system only) faring the worst. The skills of ASHAs (trained by Government health system) were abysmal with not a single ASHA being able to perform bag and mask and KMC skills satisfactorily, and only 2 (4.1%) who could suction properly. ASHAs were also deficient in basic skills like weight measurement and temperature measurement [Table 3].
Table 3

Skill assessment of ASHA workers

SkillCurrent SAKHIs (n=9)Former SAKHIS (currently ASHAs) (n=34)Former SAKHIs (currently not engaged in HBNC) (n=52)ASHAs (trained by Government health system only) (n=49) P
Temperature Measurement
 Mean (SD) Score out of 98.2 (0.8)7.4 (1.5)5.5 (2.7)3.4 (2.7)<0.001
 Satisfactory skills9 (100%)26 (76.5%)24 (46.1%)6 (12.2%)
Hand Washing
 Mean (SD) Score out of 65.7 (0.5)5.6 (0.7)4.4 (1.7)4.6 (1.6)0.001
 Satisfactory skills6 (66.7%)26 (76.5%)15 (28.8%)20 (40.8%)
Weight Measurement
 Mean (SD) Score out of 109.8 (0.4)8.3 (1.8)6.8 (2.5)4.1 (2.6)<0.001
 Satisfactory skills8 (88.9%)25 (73.5%)21 (40.4%)2 (4.1%)
Kangaroo Mother Care
 Mean (SD) Score out of 54.6 (1.0)2.1 (1.7)1.1 (1.5)1 (1.0)<0.001
 Satisfactory skills8 (88.9%)4 (11.8%)5 (9.6%)0 (0%)
Bag & Mask Ventilation
 Mean (SD) Score out of 76.4 (0.9)3.5 (2.3)2.7 (2.3)0.04 (0.3)<0.001
 Satisfactory skills6 (66.8%)6 (17.6%)6 (11.5%)0 (0%)
Suctioning (Bilta pump)
 Mean (SD) Score out of 76 (0.5)4.8 (1.7)3.5 (2.5)1.1 (2.0)<0.001
 Satisfactory skills8 (88.9%)12 (35.3%)12 (23.1%)2 (4.1%)
Skill assessment of ASHA workers A large variability was observed in the self-reported performance of the female health workers (ASHAs as well as SAKHIs). Albeit the pregnant women identified were similar, the reporting by health workers of home deliveries, sick newborns, and newborns weighing less than 2 kg was almost non-existent in Government health system [Table 4].
Table 4

Self-reported field performance of the participants

Current SAKHIs (n=9)Former SAKHIS (currently ASHAs) (n=34)Former SAKHIs (currently not engaged in HBNC) (n=52)ASHAs (trained by Government health system only) (n=49)




Median [IQR]Mean (SD)Median [IQR]Mean (SD)Median IQR]Mean (SD)Median [IQR]Mean (SD)
Pregnant women - Identified6 [3-21]11.6 (9.1)10 [6-14.5]10.4 (6.1)5.5 [3-10.25]9.1 (14.8)8 [5.25-12.75]10.2 (8.1)
Pregnant women - registered <12 weeks7 [3-13]8.3 (6.3)6 [3.75-10]7.4 (6.1)3 [0.75-7]5.5 (8.7)4 [3-10]7.5 (8.0)
Pregnant women - registered >12 weeks4 [0.5-6.5]4.3 (4.7)5 [0-9]5.8 (6.7)0 [0-5]3.5 (7.4)2 [1-7.5]5.9 (8.6)
Home deliveries2 [1-4.5]2.7 (1.9)0 [0-0]0.6 (1.8)1 [0-2]1.4 (1.6)0 [0-0]0.2 (0.8)
Hospital deliveries - Total7 [1.5-18]10.1 (10.0)9.5 [6-14]9.7 (5.6)3 [2-8]6.8 (13.8)7 [4-10]15 (44.4)
Accompanied6 [1.5-16]9.1 (9.8)7 [3.5-10.5]8.2 (6.1)2 [0-4]4.4 (12.4)5 [2-9]13 (39.9)
New born weighted on 1st day6 [3-17]10.3 (9.8)7 [4-10]8.2 (5.7)3 [1-6]5.7 (12.8)4 [2-7]7.7 (11.3)
Newborns weighed within 3 days3 [0-3]2.1 (1.8)7 [4-10]8 (5.1)2 [0-4]4.8 (12.8)4 [2-7.5]7.7 (11.6)
Babies <2 Kg identified2 [1-6]3.4 (3.3)0 [0-2]1.1 (1.6)0 [0-1]1 (1.9)0 [0-1]0.7 (1.1)
Babies <2 Kg referred2 [1-4.5]2.9 (2.6)0 [0-1.5]0.9 (1.2)0 [0-1]0.8 (2.3)0 [0-1]0.6 (0.9)
Babies <2 Kg accompanied2 [0-5]2.3 (2.4)0 [0-1]0.7 (1.0)0 [0-1]0.8 (2.3)0 [0-1]0.6 (1.5)
Follow up 2 days2 [1-4.5]2.4 (2.1)0 [0-1.5]0.8 (1.1)0 [0-1]0.7 (1.7)0 [0-0]0.4 (0.9)
Sick newborns identified6 [2.5-8]5.8 (4.5)1 [0-3]1.4 (1.6)0 [0-1]0.7 (1.2)0 [0-1]0.7 (1.5)
Sick newborns referred4 [2.5-6]4.1 (2.4)1 [0-3]1.4 (1.8)0 [0-1]0.6 (1.1)0 [0-1]0.6 (1.6)
Sick newborns accompanied2 [0-4]2.3 (2.1)0 [0-1]0.7 (1.2)0 [0-0]0.4 (0.9)0 [0-0]0.4 (1.1)
Sick newborns followed up3[2-5]3.7 (2.9)1 [0-2.5]1.3 (1.5)0 [0-1]0.4 (0.8)0 [0-0]0.5 (1.2)
Mothers counselled for breast feeding8 [5-17]11.2 (9)7 [2.75-10.5]7.5 (6.0)4 [2-7]6.5 (12.3)6 [3-10]8.8 (10.6)
Mothers counselled for complementary food8 [3.5-14]9.6 (7.5)7.5 [3-12]8.2 (5.9)4 [2-7]6.7 (12.2)6 [4-10]9.3 (9.4)
Unhealthy baby5 [1-5.5]4.6 (4.2)0 [0-1.5]1 (1.6)0 [0-1]0.8 (1.3)0 [0-1]0.7 (1.5)
Unhealthy referred5 [1-5.5]4.1 (3.1)0 [0-1.5]0.8 (1.4)0 [0-1]0.5 (0.9)0 [0-1]0.5 (1.6)
Unhealthy accompanied1 [0.5-5]2.9 (2.9)0 [0-1]0.7 (1.1)0 [0-0]0.3 (0.7)0 [0-0]1.3 (6.1)
Unhealthy followed up2 [1-5]3.3 (3.2)0 [0-1.5]0.7 (1.1)0 [0-1]0.6 (0.9)0 [0-0]0.2 (0.6)
Sick baby6 [3-8.5]5.8 (3.5)0 [0-3.5]1.9 (3.2)0 [0-1]0.8 (1.4)0 [0-2]2.6 (10.7)
Sick referred4 [3-7.5]5.1 (2.8)0 [0-2.5]1.9 (3.2)0 [0-1]0.7 (1.4)0 [0-2]2.4 (10.8)
Sick accompanied4 [1.5-5]3.4 (1.8)0 [0-1]0.7 (1.3)0 [0-0]0.3 (1.1)0 [0-1]1.3 (6.0)
Sick followed up3 [1-5.5]3.6 (2.4)0 [0-2]1.8 (3.2)0 [0-1]0.5 (0.9)0 [0-1]0.5 (1.0)
Self-reported field performance of the participants

Discussion

The CHWs trained by ACF, viz., SAKHIs were found to have better knowledge and skills in HBNC as compared to ASHAs who were trained by Government health system. However, SAKHIs did not possess expected knowledge and skills, which further deteriorated when they entered into government health system or stopped practicing HBNC. Albeit self-reported, huge variability was noted in the field performance of SAKHIs and ASHAs, while ASHAs appeared to under report the problems. In developing countries, adequate maternal and perinatal care involves an integrated approach, which includes female education, family education, women empowerment and modulating and improving decision-making capabilities of the mother and the family.[10] Bang et al.[4] demonstrated the impact of CHWs in improving the maternal and infant health care indices. CHWs can additionally facilitate access to health care by enhancing cultural linkages between local community and health care system, and by reducing the cost of health care.[11] Taking cues from the success of Gadchiroli model,[4] Government of India included maternal and child care in NRHM through CHWs, viz., ASHA. A recent study from Rajasthan revealed that ASHA's motivation and performance are affected by variety of factors including various personal (e.g., education, health, family background), professional (e.g., training, job security, incentives, recruitment, relationship with co-workers), organizational (e.g., infrastructure, supervision), and external work environment (difficult field situations) factors.[12] Two previous studies, although limited by small size and a less detailed knowledge check and skill assessment, have shown unsatisfactory performance of ASHA workers.[1314] Coincidently, the study conducted in Gujarat using the same proforma showed identical mean knowledge scores but slightly better skills of ASHAs in providing HBNC.[15] While mean (SD) scores is a good tool for cross-comparisons, it does not provide sufficient information on attainment of satisfactory skills. A study of 25 ASHAs from Delhi revealed that although ASHA workers performed most of the steps of weight measurement, only 4 out of 25 performed the critical step of ensuring no zero error, and in the end only 11 measured the weight correctly.[13] The questions regarding minimum birth weight below which risk of getting sick is highest, baby weight before recommending bathing, dose and duration of co-trimoxazole for sepsis, age of first urination, and when antenatal registration should be done- received lowest correct responses from the participants suggesting an inability of the CHWs in recognizing high-risk babies. A recent study from Haryana also demonstrated serious deficiency among health workers in assessing danger signs.[16] On the contrary, questions regarding exclusive and complementary breastfeeding were correctly answered by most of the participants. Similar observation was reported from studies conducted in Maharashtra[17] and West Bengal.[18] Among the various skills tested, the overall least satisfactory skills were found to be in BMV and KMC. Despite incorporation of these skills in ASHA training modules 6 and 7, none of the ASHAs (trained by Government health system only) could perform them satisfactorily. Even SAKHIs had suboptimal performance in these skill sets. This observation is critical as India has the largest number of low-birth weight babies in the world (42% of the global burden)[1] with birth asphyxia[1] as one of its most common cause of neonatal mortality. While we discuss the BMV performance of SAKHIs and ASHAs as being poor, it is in no way a unique phenomenon, and may not be a problem that can be addressed easily. Though this skill assessment was conducted among health workers in developing countries, findings from these training sessions are also pertinent to paramedical, nurse practitioner, and physician assistants within the healthcare domain of developed countries. The ability to train such healthcare providers to dispense such important screening and preventative knowledge could help detect critical conditions in a timely manner, as well as promote regular enhancements of skill-based procedures. During airway management, leaks of more than 50%, and thus ineffective ventilation has been demonstrated among trained medical personnel in developed countries.[19] In a country like India, it is a cardinal sin to waste such trained manpower and SAKHIs should be involved in HBNC whenever possible. It appears that SAKHIs (CHWs working with ACF) have better knowledge and skills, and a more realistic field performance as compared to those ASHAs who were trained by government health system only. The large variability in the field performance may indicate the population distribution, and in tribal areas where the population is spread through small clusters, appointment of ASHA should be made considering geography and terrain rather than population size. Along with possessing optimal knowledge and skill sets, quality of training and supportive supervision mechanism of ASHAs needs to be explored regularly to maintain a standard level of care in the community. There have been attempts to empower ASHA with necessary knowledge and skill sets. National ASHA Mentoring Group consisting eminent scientists form diverse fields consistently guided the training as well as administrative components of work expected from ASHA. The group consistently highlighted need for reforms in training, handholding, and simplified administrative procedures.[20] To leverage digital health in simplifying ASHA's function, an online system, viz., ASHA Soft (The Online Payment and Monitoring System) was launched in 2014 and implemented in many states of India. It appears as a very good construct for the purpose[21] and ASHAs expressed positive feelings about the utility of the system.[2223] Primary care physicians can act as catalyst not only in empowering ASHAs but also in handholding and supportive supervision. This is a win-win situation for them as a knowledgeable, skilful, and confident ASHA will minimize unnecessary referrals, thereby minimizing workload of already burdened health care system and help build rapport with the local communities allowing smooth implementation of Behaviour Change Communications (BCC). Conclusion: The skills and knowledge of ASHA workers are far deficient compared to SAKHIs despite similar training components. Outsourcing the training component with handholding and supportive supervision involving all stakeholders along with leveraging digital health platforms for hassle free administration and performance appraisal should be tried to improve health of the societies.

Limitations of the study

We acknowledge some limitations in our study. This was a simulation-based skill assessment and direct observation of health workers in the field was not done. This is may have led to some improved performance because of Hawthorne effect.

Prior Publication

The study findings are presented at The 6th Congress of the European Academy of Paediatric Societies (EAPS 2016). 21 – 25 October, 2016, Geneva, Switzerland.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent forms. In the form the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Financial support and sponsorship

Ambuja Cement Foundation [Internal Grant].

Conflicts of interest

Ambuja Cement foundation commissioned Dr. Somashekhar Nimbalkar and Mr. Ajay Phatak for conducting an evaluation of their Home-Based Newborn Care program. Dr. Somashekhar and Mr. Ajay received travel reimbursement for conducting the study. The study was commissioned to Dr. Somashekhar Nimbalkar as Principal Investigator and Mr. Ajay Phatak as Co-investigator and a Memorandum of Understanding for funding of the study including fees was signed between the institutions involved.
SKILLYES/NO
Take thermometer out of its storage case, hold at broad end, and clean the shinning tip with cotton ball soaked in spirit.
Press the pink button once to turn the thermometer on. You will see “188.8” flash in the centre of the display window, then a dash (-), then the last temperature taken and then three dashes (- - -) and a flashing “F” in the upper right corner
Hold the thermometer upward and place the shinning tip in the centre of the armpit. Place arm against it. Do not change the position.
You will hear a beep sound every 4 seconds while the thermometer is recording the temperature. When you hear 3 short beeps, look at the display. When “F” stops flashing and the number stop changing, remove the thermometer.
Read the number in the display window.
Record the temperature reading on the form.
Turn the thermometer off by pushing the pink button one time.
Clean the shinning tip of the thermometer with a cotton ball soaked in spirit.
Place thermometer back in its storage.
StepsYes/No
Remove bangles and wrist watch
Wet hands and forearms up to elbow with clean water
Apply soap and scrub forearms, hands and fingers (especially nails) thoroughly (6 steps of hand washing as per the module of book 7)
Rinse with clean water
Air-dry with hands up and elbow facing the ground
Do not touch with your hands the ground, floor or dirty objects after washing your hand
SKILLYES/NO
Place the sling on scale
Hold scale by top bar off the floor, keeping the adjustment knob at eye level
Turn the screw until its top fully covers the red and ‘O’ is visible
Remove sling on hook and place it on a clean cloth on the ground
Place body with minimum clothes on, in sling and replace the sling on hook.
Holding top bar carefully, as you stand up, lift the scale and sling with baby off the ground, until the knob is at eye level.
Read the weight.
Gently put the sling with baby in it, on the ground and unhook the sling.
Remove the baby from the sling and hand it over to its mother
Record the weight.
StepPerformed
Baby should be placed between the mother’s breasts in an upright position
Head should be turned to one side and in a slightly extended position
Hips should be flexed and abducted in a “frog” position; the arms should also be flexed.
Baby’s abdomen should be at the level of the mother’s epigastrium
Support the baby’s bottom with a sling/binder
StepPerformed
Selection proper sized mask
Making sure airway is clear
Position the baby’s head
Position herself at the bedside
Proper positioning the bag and mask on the face
Initiation of ventilation and correct rate of ventilation
Ensuring chest rise; if no - then Ventilation corrective steps followed
  15 in total

1.  Causes of neonatal and child mortality in India: a nationally representative mortality survey.

Authors:  Diego G Bassani; Rajesh Kumar; Shally Awasthi; Shaun K Morris; Vinod K Paul; Anita Shet; Usha Ram; Michelle F Gaffey; Robert E Black; Prabhat Jha
Journal:  Lancet       Date:  2010-11-12       Impact factor: 79.321

2.  Integrated Management of Neonatal and Childhood Illness (IMNCI): skill assessment of health and Integrated Child Development Scheme (ICDS) workers to classify sick under-five children.

Authors:  Hemant D Shewade; Arun K Aggarwal; Bhavneet Bharti
Journal:  Indian J Pediatr       Date:  2012-08-10       Impact factor: 1.967

3.  ASHAs involvement in newborn care: a feasibility study.

Authors:  P Stalin; Anand Krishnan; Sanjay K Rai; Ramesh K Agarwal
Journal:  Indian Pediatr       Date:  2011-05-30       Impact factor: 1.411

4.  Effect of home-based neonatal care and management of sepsis on neonatal mortality: field trial in rural India.

Authors:  A T Bang; R A Bang; S B Baitule; M H Reddy; M D Deshmukh
Journal:  Lancet       Date:  1999-12-04       Impact factor: 79.321

5.  Evaluation of Knowledge and Skills of Home Based Newborn Care among Accredited Social Health Activists (ASHA).

Authors:  Satvik C Bansal; Somashekhar M Nimbalkar; Nikhil A Shah; Rishi S Shrivastav; Ajay G Phatak
Journal:  Indian Pediatr       Date:  2016-06-01       Impact factor: 1.411

Review 6.  Community-based interventions for improving perinatal and neonatal health outcomes in developing countries: a review of the evidence.

Authors:  Zulfiqar A Bhutta; Gary L Darmstadt; Babar S Hasan; Rachel A Haws
Journal:  Pediatrics       Date:  2005-02       Impact factor: 7.124

7.  Skill of frontline workers implementing integrated management of neonatal and childhood illness: experience from a district of West Bengal, India.

Authors:  Akhil B Biswas; Dipta K Mukhopadhyay; Nirmal K Mandal; Tanamy K Panja; Nirmalya Sinha; Kaninika Mitra
Journal:  J Trop Pediatr       Date:  2010-11-16       Impact factor: 1.165

8.  Assessment of monitoring and online payment system (Asha Soft) in Rajasthan using benefit evaluation (BE) framework.

Authors:  Nitin Kumar Joshi; Pankaj Bhardwaj; Praveen Suthar; Yogesh Kumar Jain; Vibha Joshi; Balwant Manda
Journal:  J Family Med Prim Care       Date:  2020-05-31

9.  Assessing the effectiveness of two round neonatal resuscitation masks: study 1.

Authors:  Fiona E Wood; Colin J Morley; Jennifer A Dawson; C Omar F Kamlin; Louise S Owen; Susan Donath; Peter G Davis
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2007-11-26       Impact factor: 5.747

10.  Evaluation of trained Accredited Social Health Activist (ASHA) workers regarding their knowledge, attitude and practices about child health.

Authors:  Saurabh R Shrivastava; Prateek S Shrivastava
Journal:  Rural Remote Health       Date:  2012-12-03       Impact factor: 1.759

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