Shodhyantri Engineering Services
Research · Analysis · Editing · Publication Support
Study design, tool validation, sampling, secondary data analysis and thesis editing for community, nursing and health services research across India.
Tell us about your healthcare research support need. We reply within one working day.
Healthcare research support at Shodhyantri serves scholars in public health, community medicine, nursing, hospital and health management, and health economics. We help with study design, questionnaire development and validation, sampling for community and facility studies, analysis of survey and secondary data such as NFHS and HMIS, and the structuring and editing of synopses, theses and papers. Support can start at synopsis stage or after fieldwork.
Health services research often deals with populations, facilities and programmes rather than laboratory samples. That brings its own challenges: cluster sampling, weighting, validated tools in regional languages, and outcomes linked to schemes such as Ayushman Bharat or the National Health Mission. We bring method structure. Your fieldwork, clinical and community insight, and interpretation remain at the centre of the research.
Healthcare research covers how health services are delivered, used and experienced, and how health outcomes vary across populations. Common designs include cross-sectional surveys, quasi-experimental nursing interventions, programme evaluations, patient satisfaction studies, quality and safety audits and analyses of large public datasets.
In India, scholars frequently use the National Family Health Survey, NSS health rounds, HMIS and facility records. Nursing research often uses pre-test post-test designs to test structured teaching programmes. Hospital management studies examine service quality, waiting times, NABH-related processes and staff outcomes.
We design sampling around villages, wards, facilities or blocks, and account for clustering in sample size and analysis.
Tools are translated and back-translated into Hindi or other languages, with content validity and reliability documented.
For NFHS and similar data, weights, strata and clusters are applied so estimates represent the intended population.
Pre-test post-test studies are planned with suitable controls, tools and paired analyses that examiners commonly expect.
Hospital studies can use SERVQUAL, lean or quality indicators appropriately, linked clearly to your objectives.
Results are presented so they connect to programme goals and health system decisions, which strengthens discussion chapters.
Ten stages, each with a clear output. Nothing moves to the next stage until you have reviewed the last one.
— You review every stage first, then decide —
Every objective is checked to have a defined outcome variable and an analysis that answers it.
Content validity indices, expert comments and pilot reliability are documented before full use.
The list of villages, wards or facilities is checked for coverage and selection bias.
Skip patterns, impossible values and duplicate records are resolved before analysis.
Survey design variables are applied correctly so standard errors and estimates are valid.
Approval, consent procedures and confidentiality steps are described accurately in methodology.
Every stage is shared with notes explaining what was changed and why. You and your supervisor check it, and the next stage starts only after your go-ahead.
| Common problem | How Shodhyantri helps |
|---|---|
| Calculating sample size for simple random sampling when villages are sampled as clusters. | We apply a design effect to sample size and account for clustering during analysis. |
| Analysing NFHS data without survey weights or cluster variables. | We apply the recommended weights and survey design in Stata, R or SPSS Complex Samples, giving valid estimates. |
| Translating a tool directly into Hindi without back-translation or pilot testing. | We guide forward and back-translation, expert review and piloting so the regional version measures the same construct. |
| Concluding a teaching programme works from pre-post change alone without considering design limits. | We report paired test results with effect sizes and discuss limitations such as lack of control groups honestly. |
| Using SERVQUAL items without adapting them to the hospital setting studied. | Items are adapted carefully, validated with experts and piloted, and the adaptation is described in methodology. |
| Listing recommendations unrelated to the study's actual findings. | Each recommendation is tied to a specific result, making the conclusion chapter focused and credible. |
Frameworks such as Andersen's behavioural model or Donabedian's structure-process-outcome model help organise variables clearly.
Read the survey's recode manual and questionnaire before analysis. Variable definitions often differ between rounds.
Pilot tools with people similar to your sample, in the same language, to catch confusing wording early.
State item and scale content validity indices with the number of experts. Nursing examiners commonly ask for them.
Long questionnaires reduce response quality in community settings. Keep only items linked to your objectives.
Hospital and district approvals can take time. Start the process alongside ethics committee submission.
For risk factor analysis, report adjusted odds ratios from logistic regression, not only unadjusted associations.
Use codes instead of names in datasets, and present village-level data carefully in small communities.
Your work is handled by people who read your field's literature, not by a single generalist.
A PhD-qualified specialist from your field who checks the research logic, gap and contribution.
Handles statistics, models and qualitative coding, and documents every analytical decision.
Improves structure, flow, clarity and academic tone without changing your meaning.
Builds and validates MATLAB, Python, ANSYS or COMSOL work where your study needs it.
Checks grammar, consistency, numbering, citations and the small errors examiners notice.
Applies your university or journal template, reference style and front matter exactly.
Yes. We help plan the design, tool, sample size, content validation and analysis, typically using paired tests and effect sizes. The teaching content and its delivery remain yours, prepared with your guide. Content validity indices are calculated for your tool.
Yes. We help extract variables from NFHS datasets, which you download after registering with The DHS Program, apply survey weights and design, and run descriptive and regression analyses suited to your objectives. Survey round differences are noted.
We help you locate published tools, adapt them with permission where required, and validate them for your setting. A tool must suit your objectives and population, so we do not hand over generic questionnaires. Permission requirements are explained clearly.
No. Approval is decided by your university committee. We help make your objectives, methods and format clear and consistent, which supports a stronger presentation but cannot guarantee the committee's decision. We also help you prepare for the presentation.
Yes. We support studies on service quality, patient satisfaction, waiting time, staff burnout, bed occupancy and quality indicators, including tool design, analysis and editing of chapters. Frameworks such as SERVQUAL or Donabedian's model are adapted and justified for your hospital setting, and results are linked to practical improvement.
Yes. We edit and structure Hindi-medium synopses and theses, and help with bilingual tools and translated tables where your university allows. Technical terms are kept consistent across chapters, and we check that Hindi and English versions of tools carry the same meaning before analysis.
No. We support design, validation, analysis and editing. Your fieldwork, interpretation and writing remain your own, as academic integrity rules require. We can review your drafts for structure, clarity, consistency of tables and correct reporting of statistics, and help you respond to your guide's comments.
We provide research guidance, statistical analysis, editing, formatting and training support. All research content remains the scholar's own work, in line with UGC and university academic integrity norms. We do not guarantee publication, acceptance, indexing or academic outcomes: journals decide through peer review and universities award degrees.
Share your topic, draft or data. We will tell you honestly what it needs, and what it does not, before you pay anything.