sources of health information according to park textbook of psm

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Sources of Health Information - Park's Textbook of Preventive and Social Medicine

The textbook states: "The lifeblood of a health information system is the routine health statistics. Information requirements will vary according to the administrative level at which planning is envisaged... These different contexts require different sources of information."

Park's lists the following sources:

1. Census

The census is taken at regular intervals (usually every 10 years). The UN defines it as the total process of collecting, compiling and publishing demographic, economic and social data pertaining at a specified time to all persons in a country or delimited territory.

In India: first regular census in 1881, last held in March 2011; governed by the Census Act of 1948; directed by the Census Commissioner of India.
Provides: total population count, age/sex distribution, social and economic characteristics, living conditions, income - all essential as a frame of reference for planning and research.
Main drawback: full results are not available quickly - takes years to analyze.

2. Registration of Vital Events

A continuous system (unlike the intermittent census) that tracks births, deaths, fetal deaths, marriages, divorces, adoptions, etc.

Governed in India by the Registration of Births and Deaths Act, 1969.
India also operates the Sample Registration System (SRS) for states where civil registration is deficient - this provides estimates of birth rate, death rate, infant mortality rate, etc.
Limitation: incomplete and inaccurate registration in many developing countries.

3. Mortality Statistics

Death (mortality) data is derived primarily from:

Death certificates
Vital registration systems

Cause-of-death data depends on the accuracy of the International Classification of Diseases (ICD) coding. Mortality data is the most universally available indicator and is useful for comparing health status across populations. In India, the Registrar General of India compiles this data.

4. Notification of Diseases

Diseases are required by law to be notified to health authorities. This system provides early warning of outbreaks and tracks disease trends.

Lists of notifiable diseases vary by country and state.
At the international level, cholera, plague, and yellow fever are notifiable to WHO under the International Health Regulations (IHR); others (malaria, rabies, influenza, etc.) are subject to international surveillance.
Limitations: covers only a fraction of total sickness; significant under-reporting; atypical and subclinical cases are missed; accuracy depends on availability of lab facilities.

5. Hospital Records

In countries where registration is defective, hospital data constitutes a basic and primary source of disease information.

Provides data on: geographic sources of patients, age/sex distribution of diseases, duration of stay, diagnosis distribution, cost of hospital care, bed-occupancy rates.
Main drawbacks:
- Only the "tip of the iceberg" - mild and subclinical cases not captured.
- Admission policy varies by hospital - highly selective.
- Population at risk (denominator) cannot be defined.
- Poor guide to estimating disease frequency in the community.

6. Disease Registers

A register requires a permanent record, follow-up of cases, and statistical tabulations on frequency and survival.

Registers exist for: cancer, stroke, myocardial infarction, blindness, congenital defects, congenital rubella, tuberculosis, leprosy.
Valuable for: duration of illness, case fatality, survival, natural history of chronic disease.

7. Record Linkage

The process of bringing together records relating to one individual (or family) originating from different times or places. It assembles a file of important health records for each individual - births, marriages, deaths, hospital admissions/discharges, sickness absence, prophylactic procedures, etc.

Useful for: studying disease associations (which may have aetiological significance), twin studies, chronic disease epidemiology, family and genetic studies.
Limitation: enormous volume of data; currently beyond the reach of many developing countries.

8. Epidemiological Surveillance

Special surveillance systems set up as part of national disease control programmes (malaria, tuberculosis, leprosy, filariasis, etc.) that report on new cases and control efforts (e.g., immunizations performed).

Yields considerable morbidity and mortality data for specific diseases.

9. Other Health Service Records

Information found in records of:

Hospital outpatient departments
Primary Health Centres (PHCs) and subcentres
Polyclinics
Private practitioners
School health services
Occupational health services
Maternal and child health (MCH) clinics

These are useful adjuncts but vary in completeness and standardization.

10. Health Surveys

Used to supplement deficiencies of routine records. Three broad types:

Type	Purpose
(a) Evaluating health status	Community diagnosis - distribution of problems over time and space
(b) Investigating factors	Environment, occupation, income, aetiology, risk factors
(c) Administrative surveys	Use of health services, expenditure, evaluation of medical care

Survey methods (classified by data collection method):

Health interview (face-to-face) survey - measures perceived morbidity, disability, beliefs, attitudes; gives population-based data.
Health examination survey - more valid for morbidity data; expensive, limited scale.
Health records survey - cheapest but not population-based; reliability questionable.
Mailed questionnaire survey - simpler, cheaper; high non-response rate.

Notable: the first methodological general health survey in India was carried out at Singur Health Centre by Lal and Seal in 1944-46.

Source: Park's Textbook of Preventive and Social Medicine, Chapter on Health Information and Statistics

Generate a visual flowchart showing Park's health information system framework

Generating Image

A clean professional flowchart titled "Park's Health Information System Framework" showing the following structure: At the top: a central box labeled "HEALTH INFORMATION SYSTEM" with subtitle "Routine Health Statistics as its Lifeblood" Below it, an arrow pointing down to a row of 3 boxes showing the administrative levels: - "National Level Planning" - "State Level Planning" - "Hospital Administration" Below that, a large section titled "SOURCES OF HEALTH INFORMATION" with 10 numbered source boxes arranged in two columns: Left column: 1. Census - "Every 10 years | Demographic, social, economic data" 2. Registration of Vital Events - "Continuous | Births, Deaths, Marriages" 3. Mortality Statistics - "Death certificates | ICD coding" 4. Notification of Diseases - "Legal requirement | Notifiable diseases" 5. Hospital Records - "Diagnosis, stay, procedures | Tip of iceberg" Right column: 6. Disease Registers - "Cancer, TB, Leprosy, Stroke | Follow-up data" 7. Record Linkage - "Individual health file | Multi-source assembly" 8. Epidemiological Surveillance - "National control programmes | Malaria, TB, Leprosy" 9. Other Health Service Records - "PHC, OPD, Private practitioners" 10. Health Surveys - "Interview | Examination | Records | Questionnaire" At the bottom: a box labeled "USES OF HEALTH INFORMATION" with 4 outputs: - Health Planning - Monitoring & Evaluation - Research - Early Warning / Outbreak Detection Use a blue and white color scheme with clear arrows connecting boxes, clean sans-serif fonts, and a medical/academic visual style.

Here is the visual flowchart of Park's Health Information System Framework. It covers:

Top level - the HIS core concept (routine health statistics)
Middle level - the 3 administrative contexts that determine information needs
Main body - all 10 sources of health information with key descriptors for each
Bottom level - the 4 end-uses of the collected information (planning, monitoring, research, early warning)

The flow reads top-to-bottom, showing how health data feeds from its various sources through the information system to ultimately support health planning and decision-making, exactly as described in Park's textbook.

If a 95% confidence Interval for prevalence of lung cancer among smokers aged > 65 years is 48% to 64%, the chance that the prevalence could be less than 48% is

2.5%

A 95% CI means there is a 5% total chance the true value falls outside the interval. That 5% is split equally between the two tails:

Chance prevalence is less than 48% (lower tail) = 2.5%
Chance prevalence is greater than 64% (upper tail) = 2.5%

The interval is symmetric around the point estimate (56%), so each tail carries exactly half of the remaining 5% probability.

The answer is 2.5%.

Based on this data, all of the following rates can be calculated except: population 2,10,000, 200 new cases detected and 12 cases had died

The rate that CANNOT be calculated is: Prevalence Rate

Here's why, working through each rate with the given data (Population = 2,10,000 | New cases = 200 | Deaths = 12):

What CAN be calculated:

Rate	Formula	Calculation
Incidence Rate	New cases / Population × 1000	200/2,10,000 × 1000 = 0.95 per 1000
Cause-specific Death Rate	Deaths from disease / Population × 1,00,000	12/2,10,000 × 1,00,000 = 5.7 per 1,00,000
Case Fatality Rate	Deaths / New cases × 100	12/200 × 100 = 6%

What CANNOT be calculated:

Prevalence Rate requires knowledge of the total number of existing cases (both old and new) at a given point in time.

Prevalence = All existing cases (old + new) / Population × 1000

The data only gives new cases (200) - it does not tell us how many pre-existing/old cases are already in the population. Without total existing cases, prevalence cannot be determined.

Key concept: Incidence counts new cases over a time period; Prevalence counts all existing cases at a point in time. These two are related by:

Prevalence ≈ Incidence × Duration of disease

...but duration is also not given here, so prevalence still cannot be derived.

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