Components of health services research projects August 18, 2004 Jose Suaya, MD, MBA, MPH Schneider Institute for Health Policy, The Heller School for Social Policy and Management, Brandeis University Funder/project name etc info. Source • Designing and conducting health system research projects • Corlien Varkevisser • IDRC (Canada) & WHO Background • Part of the health system: set of cultural beliefs about health and illness that provide the basis for health seeking and health promoting behavior Health system • 1- The individual, family and community • 2- The health care services: public and private sector • 3- Health-related sectors Health services research • It is problem oriented: • Concentrate on those factors that help to explain/solve a problem under examination Types of problems/concerns • Policy: Role of government/MOH • Administration and management: monitoring and evaluation procedures • Direct services: access, acceptability, appropriateness, coverage, quality, cost, effectiveness • Individual: social/psychological/physical needs ; families Stages • • • • • • • • • I- Statement of the problem II- Objectives of the study III- Methodology IV- Pilot study V- Work plan VI- Administration VII- Monitoring VIII- Budget Justification IX- Deliverables Stage I: Statement of the problem • Identification of the problem for research • Analysis of the problem • Formulation of the statement of the problem Stage II: Objectives of the study • Literature Review • Objectives: • General • Specific • Title of the study Stage III: Methodology -a • Selection, definition, and operationalization of the variables • Outcome of interest • Exposure or intervention • Confounders Stage III: Methodology -b Study design • Non-interventional studies (observational) • • • • Exploratory Cross sectional Follow-up (cohort) Case control • Interventional studies • Experiment • Quasi-experiment Goal of the study • To obtain: • Valid: true conclusions • Reliable: same method, same circumstances, same results Threats to validity • Confounders • History • Differential loss • Hawthorne effect Stage III: Methodology -c Data collection techniques • Use of available data • Observation: watching and recording behavior • Interviews • Written questionnaires • Focus groups discussions • Combination of the above Stage III: Methodology -d Sampling • Non Probabilistic • Convenience • Quota • Probabilistic • • • • Simple random sample Systematic Cluster sampling Multistage Stage III: Methodology -e Sample Size • Desirable • Expected value (expected proportion) • Margin error for the estimate • Precision (e.g. 95%) • Feasible • Cases, human, time, money Stage III: Methodology -f Data Collection and Data Handling • • • • • • What How By whom When Sequence Quality control Stage III: Methodology -g Data Compilation • • • • • • Software Data base development Coding Data entry Verification and Validation Programming Stage III: Methodology -h Data Analysis • Plan for data analysis • • • • Univariate Bivariate Multivariate Graphical representation Stage IV: Pilot Study • Helps to identify potential problems in methodology and logistics Stage V: Workplan • Workload: tasks, duration, and person responsible for each of the activities • Time schedule (Gantt): describe graphically the order and the duration for each of the activities Stage VI: Administration • • • • Human Material Financial Logistical resources • Accountability Stage VII: Monitoring • Ongoing process of checking implementation of the project: • Track of resources used • Number and quality of tasks completed Stage VIII: Budget Justification • Starting from the working plan, identify the resources needed for each activity and calculate the unit cost and total cost Stage IX: Deliverables • Progress Reports • Scientific • Financial • Final Report/ Publishable Papers
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