Startseite The Tarunya Project’s efforts to improve the quality of adolescent reproductive and sexual health services in Jharkhand state, India: a post-hoc evaluation
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The Tarunya Project’s efforts to improve the quality of adolescent reproductive and sexual health services in Jharkhand state, India: a post-hoc evaluation

  • Alka Barua EMAIL logo und Venkatraman Chandra-Mouli
Veröffentlicht/Copyright: 16. Juni 2016

Abstract

Following the International Conference on Population and Development Adolescent Reproductive and Sexual Health (ARSH) was recognized as a top development priority in India’s National Population Policy 2000. In 2006 a separate ARSH strategy was articulated within the National Rural Health Mission. In Jharkhand, one of the poorest and least developed states in India, in 2008 the state government launched a Tarunya Project in collaboration with EngenderHealth. The project provided cascading ARSH training to government staff at secondary care facilities and strengthened outreach activities to enhance community engagement. After 5 years of implementation, the project was evaluated by a team from the World Health Organization. The evaluation found that the project provided training and ongoing backstopping support to strengthen the ARSH readiness of health facilities. The project’s intervention efforts contributed to improvement in quality and initial use of ARSH services. The performance of health facilities was appreciated by clients. But there was little correspondence between the project’s monitoring and the period of exposure of the facilities to the project’s interventions and service quality. The evaluation also showed that handholding and backstopping by the project were still very much needed.

Introduction

In 1994 at the International Conference on Population and Development (ICPD) the reproductive health needs of adolescents as a group were formally recognized and articulated. The programme of action (PoA) at the ICPD in para 7.47 states,

“Governments, in collaboration with non-governmental organizations, are urged to meet the special needs of adolescents and to establish appropriate programmes to respond to those needs” (UN 1994) (1).

India was a signatory to this PoA. Its efforts to operationalize the PoA began with the Reproductive and Child Health (RCH) program that was launched in 1997. In the following years, Adolescent Reproductive and Sexual Health (ARSH) was recognized as a top development priority in the country’s National Population Policy 2000 and as a health priority in the subsequent phase of the Reproductive and Child Health (RCH-II) program that was launched on the 1st April 2005 (2, 3). Under the National Rural Health Mission (NRHM) launched in the same year, States with weak health indicators and/or health infrastructure were identified. A package of promotive, preventive and curative health services to be delivered through a combination of static and outreach approaches, at each level of the public health system of these states, was formulated. The ARSH strategy that was launched in 2006, was set within these broader efforts of NRHM to strengthen the health system. Separate clinics with convenient working hours were planned for adolescents at secondary level health facilities, i.e. the community health centres (CHCs) and district hospitals (DHs).

Jharkhand is one of the poorest and least developed states in India. It has a population of about 32 million spread over 24 districts (Table 1). Twenty-two percent of the state population is in the adolescent age group of 10–19 years. Apart from awareness about HIV/AIDS, as compared to the national average, adolescents in the state – particularly girls – fare very poorly on all critical health indicators. Poverty, illiteracy, lack of awareness, autonomy and decision-making ability increase the vulnerability of adolescents (6). Further, a massive deficit in manpower and poor facilities in the government sector hinder provision of good quality services (7).

Table 1:

Selected indicators for Jharkhand and India.

IndiaJharkhand
Populationa1210 million33 million
Adolescent populationa21%22%
3 Antenatal care visitsb52.0%35.9%
Institutional deliveryb38.7%18.3%
“Full” immunization of childrenb43.5%34.2%
Amongst 15–19 years old girls
 Prevalence of anemiab55.8%67.2%
 Low body mass Indexb46.8%47.8%
 Awareness about HIVb65.4%39.5%
 Married adolescentsb27.6%45.3%
 Age specific fertility rate (per 1000 women)b90122
 Contraceptive prevalenceb14.2%4.3%
 Unmet need in married adolescentsb27.1%34.2%
  1. Sources: aCensus of India 2011 (4); bNational Family Health Survey 3, 2005–2006 (5).

To address the poor health situation of adolescents, the government of Jharkhand launched a number of initiatives in partnership with non-governmental organisations (NGOs) and community-based organizations (CBOs). The Tarunya/ARSH project implemented in collaboration with EngenderHealth was one such initiative.

Tarunya Project In 2008, EngenderHealth launched the Tarunya Project with the financial support of the David and Lucile Packard Foundation. The overall objective of the project was to support the state government in improving the quality of services through cascading ARSH training and to strengthen its ability to increase knowledge about, generate demand for sustainable and good quality ARSH services and increase the utilization of these services by adolescents. At the community level, the project worked to strengthen links between ARSH services and outreach activities to enhance community engagement. At the block and district level it worked to strengthen CHCs and DHs to ensure the availability of and access to good quality ARSH services. And at the state level to institutionalize necessary changes in state policies. The project was initially launched in 12 districts and subsequently in 2011 on request from the state government it was scaled up to all the 24 districts of the state.

After 5 years of implementation, the David and Lucile Packard Foundation invited the Department of Reproductive Health and Research of the World Health Organization to lead an evaluation of the project’s efforts to build the capacity of the state of Jharkhand in implementing the state ARSH program.

The aim of the evaluation was to determine whether the Tarunya Project had implemented the interventions it set out to implement and achieved what it set out to achieve. The evaluation was also conducted to draw out the lessons learned from its 5 years of work, in order to strengthen the project’s operations in Jharkhand state and to apply these lessons in other states. The specific objectives of evaluation were to study the project’s design; implementation and monitoring; outputs in terms of strengthening the quality of health services, community support, adolescent awareness and adolescent demand, policies, planning, management and institutionalization; behavioral outcomes; and health impacts.

This paper focuses on one component of the evaluation, i.e. how the project working in conjunction with the state ARSH program contributed to improving the quality and utilization of ARSH services in the state. The questions it sought to answer were:

  1. What was the project’s strategy to improve the quality and expand ARSH service provision to adolescents,

  2. Did the project improve the quality and expand the provision of ARSH services to adolescents?

  3. Did the project increase the utilization of health services by adolescents?

Materials and methods

Methods

The evaluation team secured ethical and technical clearance for the evaluation, from an ethical review committee set up by the evaluation team which also reviewed the evaluation protocol and tool kit.

To answer the first question of evaluation, the evaluation team reviewed relevant Tarunya Project documents, and interviewed an array of relevant stakeholders including: staff of EngenderHealth; program managers and staff of the Tarunya Project at the state and national levels; state and district level staff of the government of Jharkhand who were involved with the planning and management of the ARSH program; and medical officers-in-charge and other health service providers at health facilities.

To answer the second question, in addition to the above methods, the evaluation team observed health facilities and adolescent clientprovider interactions at these health facilities, and carried out exit interviews with adolescent clients. To answer the third question, the evaluation team first carried out surveys of adolescent girls and conducted focus group interviews with adolescent boys. The team then followed up with a supplementary survey of girls and boys. A more detailed description of the sampling and recruitment processes for all of these elements is described below.

  • Districts: In total, 19 districts (Figure 1: Map of Jharkhand) out of the 24 districts were covered in the evaluation exercise. Five districts, four of which (Sahibgunj, Godda, Pakur and Dumka) are located in the north-eastern part of the state, were affected by an insurgency and were considered extremely unsafe. These along with Hazaribaug, another district considered unsafe, were therefore excluded from the list of districts considered for the evaluation.

  • Health facilities: The Tarunya Project’s aim was to ensure that at least 79% of the health facilities (CHCs and DH) where ARSH clinics were located were ARSH ready[1] by the end of the project period. The key unit of intervention and therefore of our analysis were the 194 health facilities (CHCs and DHs) in the state. As with many projects, due to resource and geographic constraints, not all facilities received the same degree of intervention. For the purpose of this evaluation, the facilities were classified into “High”, “Medium, and “Low” categories of intensity of interventions, based on an intervention intensity score[2] devised by the evaluation team to reflect the level of intervention received by each facility.

  • Populations studied

    Sample: Excluding the health facilities located in insurgency affected areas, from the sampling universe the evaluation team had a list of 149 health facilities. From this universe, a representative sample size of 34 was found to estimate p within ±0.12 with 95% confidence. To ensure adequate representation of health facilities with all three intervention intensity scores, 12 from “High”, 13 from “Medium” and nine from “Low” intensity of interventions categories were selected through the systematic, equal probability (epsem) method of sampling from the three categories of intervention intensity.

    At the level of these 34 facilities, the evaluation team conducted health facility assessments (n=34), interviewed three to four randomly chosen health service providers (n=121) and clients exiting these facilities (n=123) and observed client-provider interactions (n=123) for these clients. At facilities with low adolescent client caseload, mystery clients were employed; they were interviewed and their interactions with providers were observed.

    In addition, the evaluation team interviewed Tarunya program managers and EngenderHealth staff at the state, national and international levels (n=7) and senior state government officials (n=2) who were directly associated with the conceptualisation and implementation of the program.

    Finally, project reports, monitoring data and other relevant documents were reviewed to understand the project plan, implementation process and outcomes. The sample, selection process and tools used are presented in Table 2 (Appendix 1).

    The evaluation team carried out a household survey of 1288 adolescent girls. At the community level, the sample of adolescent girls with a 5% margin of error and a 95% confidence interval was estimated to be 400 in each of the categories of intensity of the project’s interventions – high, medium and low. Eighteen girls were selected through systematic random sampling from house lists of two randomly selected village level volunteers or Accredited Social Health Activists (ASHAs) under the jurisdiction of each of the 34 health facilities selected for the evaluation. In addition, the evaluation team conducted six focus group interviews with purposively selected boys, two in each category of intensity of interventions.

    Data was collected and managed by a team of 20 field investigators, two supervisors and two coordinators. All the data collection team members were graduates, fluent in the local language, had at least 2 years of experience and had received intensive training for 4 days. Data was collected using structured/semi-structured tools after obtaining requisite permissions from the state and informed consents from the respondents.

  • Data entry and analysis: Quantitative data from the interviews was entered and analysed using software package – SPSS 22 (IBM, NY, USA). Data from in-depth interviews and FGIs was transcribed in English and analyzed manually. χ2 tests were used to test statistical significance of findings.

  • Composite index for quality service provision: The evaluation team developed a multi-component composite index of health facility and health worker performance in ARSH service provision (CI), in consultation with EngenderHealth. The index included 20 complementary indicators reflecting health facility and service provider characteristics through the perspective of different stakeholders (Appendix 2: Table 3). The evaluation team identified those that were critical and gave them twice the weightage as that given to others. Sources of information included observation of facilities and of client-provider interactions, and interviews with health facility managers, health service providers and adolescent clients exiting health facilities. The team added the scores on all 20 indicators for each health facility, and arrived at a total score for each of the 34 health facilities. Based on the CI score, the evaluation team assigned the 34 health facilities into one of categories of performance, “High performance” (top 11 facilities), “Medium performance” (12 facilities) and “Low performance” (last 11 facilities). The CI score of performance thus serves as a proxy for quality of health services.

  • Hypothesis: The evaluation team’s hypothesis was that the project’s interventions were successful in helping make health facilities ARSH ready, in improving quality and in expanding services to adolescents and that the successes achieved were directly proportional to the project’s efforts, i.e. the intensity of interventions.

  • Determinants of quality of services: The team assumed that the efforts of the Tarunya Project as reflected in the intensity of intervention, the rigorous monitoring carried out in select facilities and the period of exposure would have a positive effect on the quality of services provided at the health facilities and that this would result in a “High” CI score. Similarly, as the designation of facilities as “ARSH” ready was based on compliance with the state issued ARSH guidelines, the evaluation team assumed that the infrastructure, trained manpower and enabling environment were in place and that these health facilities would provide good quality services and secure “High” CI scores. Finally, the evaluation team assumed that those health facilities which provide good quality services and have “High” CI scores, would also be those which had more satisfied clients (than those with “Low” CI scores). To test these hypotheses, the determinants and expected relationships the evaluation team used the CI score of performance as a proxy for quality of health services.

Figure 1: Map of Jharkhand.: Districts in which evaluation took place.
Figure 1:

Map of Jharkhand.

: Districts in which evaluation took place.

Results

The evaluation team analyzed the findings to answer the three evaluation questions mentioned earlier.

  1. What was the project’s strategy to improve the quality and expand ARSH service provision to adolescents?

    The project’s objectives and planned activities were well aligned. It had a clear and focussed strategy to improve the quality of ARSH services in government facilities. The project strengthened training and capacity building of health services providers through the development of technically correct and contextually appropriate training and educational materials in the local language. The government adopted its recommended cascade training model in which master trainers (MTs) were the foundation for training different cadres of health service providers. The project succeeded in creating a pool of trained master trainers. Project staff backstopped training of medical officers (MOs) at the regional level and front line workers (FLWs) and auxiliary nurse midwives (ANMs) at the district level. Master trainers trained by the project trained 363 MOs and 1936 FLWs/ANMs. All the FLWs/ANMs and 66% of MOs were reportedly trained by MTs who had been trained by the project.

    To bolster the supervisory and problem solving system, innovative approaches such as COPE® (Client-Oriented, Provider Efficient services) (8), clinical monitoring (CM), supportive or facilitative supervision, and performance tracking of providers (PTS) were introduced. The project trained 63 supervisors in a facilitative approach to supervision.

    The project carried out focused monitoring in 76 of the ARSH facilities. The project staff conducted ARSH readiness assessments in these facilities and data on ARSH readiness of the remaining facilities was provided by the facility staff. Project staff developed tools such as client exit interview guides, ARSH readiness assessment checklists, clinical monitoring and performance to standards guides and to strengthen the reporting mechanism, they improved quality of the state government’s reporting format. The project appointed district coordinators played a vital role in monitoring and supporting the use of monitoring data to take remedial action. They supported district managers and health facility managers with monthly monitoring of the ARSH data and report writing, and participated in district review team missions and in monthly meetings of the district health team.

  2. Did the project succeed in improving the quality and expanding the provision of ARSH service provision to adolescents?

    According to the project’s annual reports, COPE® was used routinely by the staff in 70% of facilities where it was introduced, and CM in 31% of the facilities where it had been introduced. These efforts led to improvements in the quality of health facilities, and in the performance of service providers. The project’s internal assessment showed that 83% of the MOs and 69% of the FLWs whom staff had observed, correctly performed the critical skills required for provision of good quality ARSH services. The evaluation team’s assessment of quality found that almost 75% of the facilities (26 out of 34) provided quality health services as specified in the ARSH guidelines. The evaluation team used the CI score as a composite measure of quality health services. In relation to this score, the selected health facilities scored well, with minimal variation in the scores. The CI score ranged from 4.7 to 22 with the mean CI score of the 34 selected health facilities at 17.51 (out of 25). About 62% of the facilities had scores of 17.51 or more. When the health facilities were ranked as per the CI score, barring the last nine facilities all had scores above 16.5. The team’s assessment showed that 76% of the facilities (26 out of 34 facilities) had a CI score of more than 16.5 (i.e. 66.6% of the maximum composite score of 25), very close to the specified aim of the project.

    According to the project’s reports 34% of the 76 health facilities it monitored were “ARSH ready”. Of the health facilities assessed during the evaluation, 19 had been designated as “ARSH ready” by EngenderHealth team. Most of these indicators were also those which were either necessary for provision of quality health services. The 19 health facilities designated “ARSH ready” by the project had a mean CI score of 19.2 and seven of the 19 facilities ranked in first 10 as per our CI score based ranking. In contrast, the mean score for those 15 health facilities not yet considered to be “ARSH ready” was 15.4 and only three of them were in the first 10 ranks.

    Half of the sampled health facilities (n=34) had been exposed to the project’s interventions for a period of 3 years and the remaining 17 had been introduced into the project half-way through and were thus exposed for about 18 months. The evaluation team found that the mean score of health facilities exposed for the entire project duration of 3 years was 16.8 and three of the 17 facilities ranked in the first 10 facilities as per the CI score based ranking. Comparatively, the mean score for health facilities recently introduced into the project was 18.2 and seven of these 17 facilities ranked in first ten.

    Satisfaction with services across different health facilities was found to be similar, regardless of CI score. The majority of the clients (87%) during their exit interviews reported that they were satisfied with the services they received on the day of the visit. There was no relationship between the CI score based ranking of facilities and clients satisfaction at these facilities. Except for one facility in which three out of the four clients reported that they were not satisfied. This particular facility had “High” intensity of intervention, was amongst the 76 regularly and stringently monitored ones and had also been labeled as ‘ARSH ready” under the project.

    Type of health facilities in which the project was more successful: There appeared to be a direct but not perfect relationship between the CI score based ranking and the intensity of the project’s interventions. Out of the 12 facilities which had “High” intensity of intervention, five ranked within first ten in the CI score based ranking and the mean CI score at 19 was above the mean score for the selected 34 facilities. The mean CI scores for the “Medium” and “Low” intensity category facilities were 16 and 18, respectively. The proportion of facilities which ranked within first ten was two out of 13 in facilities with “Medium” and three out of nine in facilities with “Low” intensity of intervention.

    There was also a relationship between CI score based ranking and internal designation of facilities as “ARSH ready” by EngenderHealth. The majority of the project-supported health facilities performed at a relatively high level of ARSH readiness also had high CI scores (17/25 CI score or above). The period of exposure to interventions was however inversely related to the CI score based ranking. Facilities with a ‘long’ period of exposure to the project’s interventions did not have higher CI scores. While eight out of 11 facilities with “High” scores were “New”, i.e. had come into the project halfway through its timeline and had ‘short’ exposure to the intervention around 2011, 5 out of 11 facilities with “Low” CI scores were “New” (Appendix 3: Table 4).

  3. Did the project’s effort succeed in improving the utilization of health services by adolescents?

    The Tarunya Project gathered data on the attendance and use of services by adolescents at ARSH clinics on a monthly basis. Data on selected indicators of service use by adolescents are graphically presented above (Graph 1). There were dramatic increases in service utilization in the first and second phases of the project. In the third phase – when an additional 12 districts were added in 2011 – increases were relatively less. By Phase V there was a visible decline in use of certain services at these clinics. The decline was specifically for maternal care and family planning services and prophylaxis for anemia.[3]

    Data from the evaluation team’s survey of adolescent girls in the community showed that about 10% of girls surveyed reported that they had used any health services in 6 months prior to the survey. Of the girls who said that they had done so, 77% had sought services for menstrual problems, 8.3% for anemia and weakness, 6% for antenatal care, 3.6% for reproductive tract infections/sexually transmitted infections and 1.2% each for family planning, abortion services and for domestic violence. Only three out of the 1288 girls said that they had ever sought family planning methods and of these one was refused on the grounds of her not being eligible for receiving them. In line with the data gathered by the Tarunya Project, girls in the age group 15–19 years were more likely to have sought services than younger girls and boys, in the 6 months prior to the survey. More married and literate adolescent girls sought services than unmarried and illiterate, but these differences were not statistically significant.

    More girls from the areas of facilities with “High” scores said that they had sought services, from ARSH clinics (43.6%) and private clinics (33.3%) as compared to the girls in the area of facilities with “Low” CI scores (14.8%) for both ARSH clinics and private clinics.

    In focus group interviews conducted by the evaluation team, none of the boys had reported seeking care.

Graph 1: Percent change in ARSH service utilization.Source: Tarunya Project MIS.
Graph 1:

Percent change in ARSH service utilization.

Source: Tarunya Project MIS.

Discussion

Summary of findings in relation to the objectives

Project strategy: Our evaluation found that the project carried out a number of activities to improve the quality of ARSH services to adolescents in the context of the government’s ARSH program. It developed/adapted teaching-learning materials in local and easily understandable language; used a cascade-training method to sensitize and train different cadres of service providers; developed a number of problem-identification and problem-solving tools; and monitored and provided ongoing backstopping support to strengthen the ARSH readiness of health facilities.

Improvement in quality of ARSH services: The project’s interventions implemented in conjunction with those of the government, contributed to improving the quality of ARSH services in the state. There was a link between the project’s intervention efforts on the one hand, and improvements in service quality and – to a lesser extent – client satisfaction with health facility performance on the other hand. But there was little correspondence between the project’s monitoring, and the period of exposure of the facilities to the intensity of project’s interventions and service quality.

The project used a package of evidence-based approaches to improve the quality of health service provision. Also, the project supported the government in rapidly scaling up training and the readiness of different cadres of health managers and service providers. The project’s efforts led to tangible improvements in quality as the majority of the project-supported health facilities performed at a relatively high level of ARSH readiness (17/25 CI score or above) and there was a match between the project’s own designation of facilities as ARSH ready and the CI scores the evaluation team gave them. There was also a match between the intensity of the project’s interventions and the CI score. Health facilities in which the project was most active were much more likely to provide a higher quality of ARSH services. The increased intensity of the project’s efforts in facilities was based on its decision to provide “additional hand holding for facilities where performance was weak”.

While the positive association between the CI scores and clients’ perceptions of the performance of health facilities suggest that the project’s efforts to improve quality were appreciated by clients, the association was not statistically significant. The lack of a consistent relationship between the CI ranking and client perceptions of quality of health services indicates that formative research is very important to understand the needs and preferences of clients in planning and carrying out ARSH related activities.

On the other hand, though the project undertook intense monitoring of 76 out of the 194 facilities (of which 20 were in the evaluation sample of 34 facilities), there appears to be no clear relationship between the CI ranking and these monitoring visits. From discussions with project staff, it appears that monitoring was neither universal and nor was it always needs or performance-based. The inverse relationship between the CI ranking and the period of exposure to the interventions perhaps reflects contextual factors of the new locations, increased diffusion of knowledge and practice on quality service delivery across the state and the shift in the attention of project staff to the new districts (as mandated by the government).

Improvement in service use: The government’s efforts supported by the project succeeded to a limited extent in increasing ARSH service utilization by adolescent girls. This was primarily for menstrual health problems, and to lesser extent for antenatal care, and STI/RTI care. Very few users sought contraception/family planning. Married and literate adolescent girls were more likely than others to seek care. More adolescent girls from the area of with a “High” intensity of the project’s interventions and with facilities with “High” CI scores were aware of services and used them when compared to those areas with “Low” intensity and “Low” CI scores.

Despite some gains in service utilization at the facility level, particularly in the initial stages, the community coverage survey revealed low use of ARSH services among adolescents. This may be because of a combination of demand-side and supply-side factors. On the demand side possibly adolescents did not believe that the services provided responded to their needs or they encountered barriers to facility-based health service use that could not be overcome by projects like Tarunya (i.e. difficulties in geographic access, affordability, etc.). On the supply side, lack of active promotion of the ARSH services, because of withdrawal of incentives to ASHAs and the location of the ARSH clinics in CHCs and DHs which are far removed from the community adversely affected service utilization. Distance and cost of reaching these facilities are daunting for adolescents. The latter especially so in adolescents who are financially dependent on their parents and are hesitant to discuss speak to them and to seek their financial support for their health concerns.

A program manager explained this as follows:

The programme should have been at sub-centre level. Adolescents do not come this far. Otherwise transportation should be provided and the medical officer should be present at the clinic. Without these I do not see any further improvement in attendance at these clinics”.

Implications

The multifaceted approach that the Tarunya Project used to improve health worker and health facility performance is in line with evidence-based best practice (9). The application of such approaches has shown to increase the quality of health service provision in a number of countries. Experience from a number of countries has shown that without concerted efforts to create community support for health service provision to adolescents and adolescent demand for their use, improving the quality of health provision alone will not lead to increased service utilization (10).

Given this, the evaluation points to clear actions for the Tarunya Project. It should continue to support cascade training by the government because while the training materials developed with the support of the project have been adopted by the government and the cascade model has been institutionalized in the government’s training system, handholding and back stopping by the project are still very much needed. It should also support the institutionalization of monitoring and data management. Finally, while the project should continue to support efforts to improve the quality of health service provision, it must step up support for increasing awareness of and demand for ARSH services.

The evaluation also points to clear actions for programs and projects elsewhere. Formative research is important to understand adolescents’ health service needs, and health care seeking practices and preferences, factors that hinder the provision and utilization of health services, and what could be done to overcome them.

The required standard of performance for health workers and health systems and a monitoring system should be set at the beginning of implementation. Health worker capacity and attitude building should employ complementary evidence-based approaches, and actions taken to make health services effective and more responsive. And quality should be assessed using data from multiple sources – provider readiness, health facility situation, and client satisfaction. Finally, alongside efforts to improve the quality of service provision, programs and projects should plan and implement complementary strategies to generate demand for health services.

Limitations

This evaluation should be viewed in light of a few limitations. There were no baseline data on most indicators, against which to compare our findings; thus, these results represent a post-intervention assessment only. Furthermore, due to resource constraints, the evaluation team was not able to compare these findings against a comparison group of facilities without intervention. The development of the intensity score was meant to serve as an internal proxy for comparing “dosage” of the intervention, in the absence of a comparison group. Secondly, as in many places, health providers were not present in some of the facilities (4/34). As a result, the planned sample size was not achieved.

Appendix

Appendix 1

Table 2:

Study sample.

MethodSampleSelectionTool
Facility assessment34By epsem method, proportionate representation of three intervention intensity categoriesTool 4a: Checklist for observation of health facilities
Health services providers1213–4 randomly chosen per facilityTool 3: Health facility manager individual interview tool

Tool 5: Health service provider individual interview tool
Client exit interviews1233–4 randomly chosen per facilityTool 6a and b: Adolescent client exit interview tool
Client provider interaction1233–4 randomly chosen per facilityTool 4b: Checklist for observation of client provider interaction
Interviews of community volunteers/ASHAs68 ASHAs

5 NGO workers
By epsem method, two ASHAs per facility areaTool 9: Community workers individual interview tool
Interviews of adolescent girls1288By random sampling, 18 per ASHA’s areaTool 7: Adolescent girls in the community individual interview tool
Focus group interviews of adolescent boys6Two per intervention intensity categoryTool 8: Adolescent boys focus group guide
Stakeholder interviews9Seven Engenderhealth staff and two state government officialsTool 1: Tarunya/Engenderhealth staff individual interview tool

Tool 2: State/District level health staff, DoHFW individual interview tool

Appendix 2

Table 3:

Composite index.

S. NoQ. NoQuestionScore
Tool 3: Facility manager (FM)/MOIC individual interview
 1FM5CDo you provide supervision to staff related to ARSH?1
 2FM6aDid you undergo training in ARSH orientation program?1
 3FM7aIs the report from the Yuva Maitri Kendra used to improve services for adolescents?1
 4FM8dAre systems in place for carrying out ARSH outreach work in the community through ASHA/volunteers?1
 5FM9Are ARSH related problems and issues discussed during monthly review meetings?2
Tool 4a: Facility observation (OB) checklist
 6OB1aIs there a clearly visible signboard in the health center?1
 7OB2Is there an earmarked room/space for the Yuva Maitri Kendra clinic?1
 8OB4Are educational materials on display in the Yuva Maître Kendra clinic?1
 9OB6Is there a screen between the consultation and examination areas?1
 10OB9a,b,c,dAre the following registers in place in the Yuva Maitri Kendra?
Registration0.25
Service0.25
Stock and supply0.25
Outreach & community activity0.25
Tool 4b: Checklist for client provider interaction (CPI)
 11CPI1During the consultation, were the service provider and the client visible from outside?1
CPI2During the consultation, were the service provider and the client audible from outside?1
Tool 5: Health service provider individual interview
 12HSP2aDid you undergo any ARSH training?2
 13HSP3aDo you have the ARSH guidelines?1
 14HSP7aWere you unable to provide any reproductive and sexual health services in the past 6 months?1
 15HSP10cDo you feel you get adequate support from your supervisor for your work?1
Tool 6a&b: Adolescent client exit interviews (CEI)/mystery client interviews (MC)
 16CE9a/MC2aToday, did you receive the health care services that you came for?2
 17CE12b/MC5bToday, during your consultation did the service provider treat you with consideration and respect?1
 18CE12c/MC5cToday, during your consultation did the service provider assure you that all your information will not be shared with anyone without your consent?2
 19CE12g/MC5gToday, during your consultation did the service provider explain to you about the services you came for?1
 20CE13a/MC6aWere you satisfied with the services you received today?1
Total25

Appendix 3

Table 4:

Composite index score and type of facility.

DistrictFacilityCI scoreIntensity of interventionEH monitoring siteExposureARSH ready
BokaroCHC PeterwarHighHighYesShortYes
CHC JenamoreHighHighNoShortNot known
CHC BermuMediumLowNoShortNot known
ChatraCHC TandwaMediumLowNoShortNo
Sadar HospitalLowMediumNoShortNot known
DeogharCHC MohanpurHighLowNoShortNot known
SDH MadhupurLowMediumNoShortNo
DhanbadCHC BaliapurLowMediumNoLongNot known
East SinghbhumCHC GhatasilaHighHighYesLongYes
CHC JugusalaiLowMediumYesLongYes
GarhwaSadar HospitalMediumLowNoLongNot known
CHC MeralMediumHighYesLongYes
GumlaDH GumlaMediumMediumYesLongYes
CHC RaidihLowHighYesLongYes
GiridihSadar HospitalMediumMediumYesLongYes
JamtaraCHC KundhitHighLowNoShortNot known
KhuntiCHC TorpaHighMediumYesShortYes
CHC KarraLowHighNoShortNo
KodermaCHC JayanagarMediumHighYesLongYes
LateharCHC ChandwaHighHighYesShortYes
Sadar HospitalMediumMediumYesShortYes
LohardaggaCHC BhandraHighLowNoShortNo
CHC SenhaHighHighYesShortYes
PalamuSadar HospitalHighMediumYesLongNot known
CHC LesliganjMediumLowNoLongNot known
RamgarhCHC PatratuMediumHighYesShortYes
RanchiCHC RatuHighHighYesLongYes
CHC OrmanjhiMediumLowNoLongNo
SaraikelaCHC GamariaLowMediumYesShortYes
CHC ChandilLowMediumYesShortYes
SimdegaCHC KolebiraLowHighYesLongYes
DH SimdegaLowMediumYesLongYes
West SinghbhumCHC ChaibasaMediumMediumYesLongYes
CHC BadajamudaLowLowNoLongNo

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Received: 2016-2-28
Accepted: 2016-4-30
Published Online: 2016-6-16

©2016, Alka Barua et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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