Research Design for PhilHealth Study

Exploring the Effects of Budget Zeroing on Healthcare Access & Outcomes

Key Insights

Quantitative Focus: The design strategically employs a structured survey to capture numerical data on healthcare access and outcomes.
Comprehensive Coverage: It integrates demographic, behavioral, and perception variables to analyze the impacts of budget zeroing.
Robust Statistical Analysis: Methods include descriptive and inferential statistics to ensure reliable and valid conclusions.

Introduction and Research Objectives

This research design outlines a comprehensive quantitative method employing a survey questionnaire to investigate the impact of PhilHealth budget zeroing on healthcare access and outcomes in the Philippines. The core objectives of this study are to:

Assess changes in healthcare service accessibility after the reduction of PhilHealth’s budget.
Determine the effects on health outcomes among affected Filipino citizens.
Analyze the perceptions of the general public regarding PhilHealth’s effectiveness under current budget constraints.

The study will use a cross-sectional survey design to capture data at a specific point in time, providing a snapshot of the healthcare landscape in response to financial adjustments in PhilHealth's budget allocation.

Research Methodology

Study Design

This research employs a quantitative cross-sectional survey design, which is ideal for collecting structured numerical data that can be statistically analyzed. Given the study’s focus on measuring the impact of fiscal changes on healthcare, the survey method allows for:

Wide Reach: Facilitating data collection from various geographic regions (urban, rural, and remote areas).
Diverse Representation: Ensuring that responses reflect different socioeconomic statuses, ages, and demographic groups.
Quantitative Rigor: Enabling the application of descriptive and inferential statistical methods to analyze relationships between variables.

Population and Sampling Techniques

Target Population

The target population comprises Filipino adults (18 years and older) who have been impacted by changes in PhilHealth’s funding. This group includes both current and former PhilHealth members, ensuring that a range of perspectives on healthcare access and service outcomes are captured.

Sampling Method

This study utilizes stratified random sampling to ensure balanced representation from different segments, including:

Age Groups (young adults to seniors).
Socioeconomic Status (various income levels and employment statuses).
Geographical Areas (urban, rural, and remote settings).

The stratified approach mitigates sampling biases and ensures that the feedback reflects the diversity of the Filipino population.

Sample Size Considerations

Based on previous health research studies, it is recommended to target a sample size sufficiently large to ensure statistical power. An estimated minimum of 500 respondents is proposed, although pilot studies may suggest adjustments. Statistical significance and power analysis will guide the final sample size decision.

Survey Questionnaire Structure

This survey will incorporate multiple sections, addressing various dimensions of the research topic. Below is a detailed questionnaire framework:

Section 1: Demographics

This section collects essential background information that will form the basis for controlling variables in the analysis. Key items include:

Age (exact value or age brackets)
Gender (Male, Female, Other)
Educational Level (e.g., High School, Bachelor’s, Graduate)
Employment Status (employed, unemployed, retired)
Household Income Level (categorized ranges)
Residential Area (Urban, Rural, Remote)

Section 2: PhilHealth Coverage and Awareness

This section gauges respondents’ existing coverage and level of awareness regarding PhilHealth's budget changes:

Membership Status: Are you currently a PhilHealth member? (Yes/No)
Awareness: Are you aware of recent issues concerning PhilHealth’s budget? (Yes/No/Unsure)
Understanding: How would you rate your understanding of the benefits provided by PhilHealth? (Scale of 1-5, where 1 indicates 'Very Poor' and 5 indicates 'Very Well')

Section 3: Healthcare Access

This part focuses on the respondent’s experiences and observations regarding access to healthcare services following the budget zeroing:

Utilization Frequency: How often have you sought healthcare services in the past year? (Options could include: Never, Rarely, Sometimes, Often, Very Often)
Barriers Encountered: Which of the following barriers have you experienced?
- Financial Constraints
- Distance from Healthcare Facilities
- Limited Availability of Services
- Long Waiting Periods
- Other (please specify)
Delayed Care: Have you ever delayed or foregone medical treatment due to cost or service availability? (Yes/No)

Section 4: Health Outcomes

In this section, respondents rate their health status and satisfaction with the services received:

Self-Rated Health Status: How would you describe your current health? (Scale: Excellent, Good, Fair, Poor)
Changes in Health: Compared to before the budget zeroing, how has your health status changed? (Options: Improved, Unchanged, Worsened)
Satisfaction with Healthcare Services: Please indicate your level of satisfaction with healthcare services received (Scale of 1-5, where 1 is "Very Dissatisfied" and 5 is "Very Satisfied")

Section 5: Impact of PhilHealth Budget Zeroing

This section directly assesses perceptions regarding the effects of enhanced financial constraints on healthcare:

Direct Impact: Do you believe that the zeroing of PhilHealth’s budget has affected your access to quality healthcare? (Yes/No/Unsure)
Extent of Impact: To what extent do you agree with the statement: “The reduction in PhilHealth’s budget has negatively affected the quality of healthcare services.”? (Scale of 1-5)
Qualitative Feedback: Please provide a brief explanation or any suggestions regarding how this budget change has influenced your healthcare experience. (Limited to 100-150 words)

Data Analysis Strategy

Data derived from the survey will be subject to robust statistical analysis to interpret the impact of budget zeroing. The primary techniques involve:

Descriptive Statistics

Utilizing software such as SPSS or R, descriptive statistics (frequencies, percentages, means, and standard deviations) will summarize data regarding demographics, healthcare service usage, and health outcomes.

Inferential Statistics

To analyze relationships between the independent variable (PhilHealth budget zeroing) and dependent variables (healthcare access and outcomes), methods such as t-tests, ANOVA, Chi-square tests, and regression analyses will be used. These tests will help determine:

Correlations: Identifying statistical correlations between changes in budget allocations and observed health metrics.
Predictors: Establishing the degree to which demographic and socioeconomic factors serve as predictors of healthcare access and outcomes.
Error Margins: Assessing confidence intervals to ensure reliability of the survey data.

Data Reliability and Validity

Prior to full deployment, a pilot study will be conducted with a smaller subset of the targeted population. This stage will focus on:

Questionnaire Refinement: Evaluating clarity, relevance, and consistency of survey items.
Reliability Tests: Implementing Cronbach’s alpha to measure internal consistency of scales.
Validity Assessment: Conducting face and content validity evaluations with subject matter experts to ensure that the instrument measures the intended variables effectively.

Survey Administration and Timeline

The survey will be administered using both online and offline methods to ensure accessibility among all target demographics:

Survey Distribution

Online Administration: Using platforms like Google Forms or SurveyMonkey to distribute the questionnaire widely and facilitate easy data collection.
Offline Administration: Conducting face-to-face interviews or distributing paper copies in areas with limited internet connectivity.

Research Timeline

Phase	Timeframe	Activities
Survey Development	2 Weeks	Drafting questionnaire, expert review, pilot testing
Data Collection	4-6 Weeks	Administering surveys online and offline
Data Analysis	6 Weeks	Statistical analysis using descriptive and inferential methods
Reporting	4 Weeks	Interpretation, write-up, and dissemination of findings

Ethical Considerations

This study is committed to abiding by ethical research practices throughout its design and implementation:

Consent and Confidentiality

Before participation, respondents will receive detailed information about the study’s purpose, scope, and confidentiality measures. Each participant must provide informed consent, acknowledging their voluntary participation. Anonymity will be assured through coding and secure storage of responses, ensuring that no personal identifiers are recorded.

IRB Approval

The research proposal will be submitted to an Institutional Review Board (IRB) for ethical approval. Compliance with ethical standards is essential for protecting human subjects and upholding the research’s credibility.

Data Security

All data collected through online platforms will be stored on secure, password-protected servers, and only the research team will have access to the raw data sets. Furthermore, data will be anonymized during analysis to preserve respondent privacy.

Data Analysis Tools and Techniques

The analysis of the survey data will be executed using robust statistical software to ensure accuracy and reliability:

Statistical Software

Popular tools such as SPSS, R, or STATA will be used for:

Frequency distributions
Descriptive analyses
Regression analysis
Correlation tests

Measurement Scales and Reliability

The survey leverages measurement scales such as:

Likert Scales: To measure perceptions on a scale from 1 (Strongly Disagree) to 5 (Strongly Agree).
Ordinal Scales: For ranking health outcomes and satisfaction levels.

Once the data is collected, Cronbach’s alpha will be employed to test for internal consistency of the scales, ensuring that the questionnaire reliably measures the constructs of healthcare access and outcomes.

Reporting and Dissemination

The final report will integrate both quantitative data and contextual analysis addressing the following:

Detailed Reporting

The report will include:

An in-depth analysis of demographic outcomes.
Comparative statistics pre- and post-budget zeroing.
Graphical and tabular representations of key findings.
Discussions on inferred relationships between PhilHealth’s budget changes and healthcare access/outcomes.

Dissemination Strategy

Results will be shared via:

Academic journals specializing in health services research.
National and local healthcare symposiums.
Policy briefs and presentations to Philippine health officials and relevant stakeholders.