In 2020, Egypt registered ******* healthcare professionals in total, including dentists, pharmacists, human physicians, and nursing staff. Furthermore, there were *** times more public private healthcare professionals.

Egypt EG: Health Expenditure: Total: % of GDP data was reported at 5.642 % in 2014. This records an increase from the previous number of 5.463 % for 2013. Egypt EG: Health Expenditure: Total: % of GDP data is updated yearly, averaging 5.137 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 5.970 % in 2002 and a record low of 3.537 % in 1995. Egypt EG: Health Expenditure: Total: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Health Statistics. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

In 2021, Egypt had a total number of ****** medical professionals in the private healthcare sector. The number of human physicians ranked highest at ******, while the nursing staff came in second, with ****** registered nurses.

As of 2024, Egypt had 69 million health insurance beneficiaries, marking an increase of 15 million people compared to 2014.

Egypt EG: Physicians: per 1000 People data was reported at 0.814 Ratio in 2014. This records a decrease from the previous number of 2.830 Ratio for 2010. Egypt EG: Physicians: per 1000 People data is updated yearly, averaging 1.364 Ratio from Dec 1960 (Median) to 2014, with 19 observations. The data reached an all-time high of 2.830 Ratio in 2010 and a record low of 0.391 Ratio in 1960. Egypt EG: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

Egypt EG: Health Expenditure: Private: % of GDP data was reported at 3.487 % in 2014. This records an increase from the previous number of 3.405 % for 2013. Egypt EG: Health Expenditure: Private: % of GDP data is updated yearly, averaging 3.063 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 3.566 % in 2002 and a record low of 1.890 % in 1995. Egypt EG: Health Expenditure: Private: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Health Statistics. Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

Introduction

This Egyptian Arabic Call Center Speech Dataset for the Healthcare industry is purpose-built to accelerate the development of Arabic speech recognition, spoken language understanding, and conversational AI systems. With 40 Hours of unscripted, real-world conversations, it delivers the linguistic and contextual depth needed to build high-performance ASR models for medical and wellness-related customer service.

Created by FutureBeeAI, this dataset empowers voice AI teams, NLP researchers, and data scientists to develop domain-specific models for hospitals, clinics, insurance providers, and telemedicine platforms.

Speech Data

The dataset features 40 Hours of dual-channel call center conversations between native Egyptian Arabic speakers. These recordings cover a variety of healthcare support topics, enabling the development of speech technologies that are contextually aware and linguistically rich.

Topic Diversity

The dataset spans inbound and outbound calls, capturing a broad range of healthcare-specific interactions and sentiment types (positive, neutral, negative).

These real-world interactions help build speech models that understand healthcare domain nuances and user intent.

Transcription

Every audio file is accompanied by high-quality, manually created transcriptions in JSON format.

Metadata

Each conversation and speaker includes detailed metadata to support fine-tuned training and analysis.

Usage and Applications

This dataset can be used across a range of healthcare and voice AI use cases:

Egypt EG: Health Expenditure: Public: % of Total Health Expenditure data was reported at 38.202 % in 2014. This records an increase from the previous number of 37.665 % for 2013. Egypt EG: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 40.126 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 46.544 % in 1995 and a record low of 36.067 % in 2012. Egypt EG: Health Expenditure: Public: % of Total Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

Egypt EG: Health Expenditure: Public: % of GDP data was reported at 2.155 % in 2014. This records an increase from the previous number of 2.057 % for 2013. Egypt EG: Health Expenditure: Public: % of GDP data is updated yearly, averaging 2.038 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 2.404 % in 2002 and a record low of 1.621 % in 1996. Egypt EG: Health Expenditure: Public: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

As of 2025, the gross value of written health insurance premiums in Egypt stood at 383.6 million U.S. dollars, up from 232 million U.S. dollars in 2017. From 2017 to 2024, the figure demonstrated a consistent upward trend, with projections to reach 427.7 million U.S. dollars by 2029.

Abstract

The 2000 Egypt Demographic and Health Survey is, part of the worldwide Demographic and Health Surveys project, carried out in Egypt that provide information on fertility behavior and its determinants, particularly contraceptive use. The EDHS findings are important in monitoring trends for key variables and in understanding the factors that contribute to differentials in fertility and contraceptive use among various population subgroups. The EDHS also provides a wealth of healthrelated information about mothers and their children. These data are of special importance for understanding the factors that influence the health and survival of infants and young children.

The 2000 EDHS was designed to provide estimates for key indicators such as fertility, contraceptive use, infant and child mortality, immunization levels, coverage of antenatal and delivery care, and maternal and child health and nutrition. The survey results are intended to assist policymakers and planners in assessing the current health and population programs and in designing new strategies for improving reproductive health and health services in Egypt.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49

Kind of data

Sample survey data

Sampling procedure

SAMPLE DESIGN

The primary objective of the sample design for the 2000 EDHS was to provide estimates of key population and health indicators including fertility and child mortality rates for the country as a whole and for six major administrative regions (the Urban Governorates, urban Lower Egypt, rural Lower Egypt, urban Upper Egypt, rural Upper Egypt, and the Frontier Governorates). In the Urban Governorates, Lower Egypt, and Upper Egypt, the design allowed for governorate-level estimates of most of the key variables, with the exception of the fertility and mortality rates. In the Frontier Governorates, the sample size was not sufficiently large to provide separate estimates for the individual governorates. To meet the survey objectives, the number of households selected in the 2000 EDHS sample from each governorate was not proportional to the size of the population in the governorate. As a result, the 2000 EDHS sample is not self-weighting at the national level, and weights have to be applied to the data to obtain the national-level estimates presented in this report.

SAMPLE SELECTION

The sample for the 2000 EDHS was selected in three stages. The first stage included selecting the primary sampling units. The units of selection were shiakhas/towns in urban areas and villages in rural areas. Information from the 1996 census was used in constructing the frame from which the primary sampling units (PSUs) were selected. Prior to selecting the PSUs, the frame was updated to take into account administrative changes that had occurred since 1996. The updating process included both office work and field visits during a three-month period. After it was completed, urban and rural units were stratified by geographical location in a serpentine order from the northwest corner to the southeast corner within each governorate. During this process, shiakhas or villages with a population less than 2,500 were grouped with contiguous shiakhas or villages (usually within the same kism or marquez) to form units with a population of at least 5,000. After the frame was ordered, a total of 500 primary sampling units (228 shiakhas/towns and 272 villages) were selected.

The second stage of selection involved several steps. First, detailed maps of the PSUs chosen during the first stage were obtained and divided into parts of roughly equal population size (about 5,000). In shiakhas/towns or villages with a population of 20,000 or more, two parts were selected. In the remaining smaller shiakhas/towns or villages, only one part was selected. Overall, a total of 735 parts were selected from the shiakhas/towns and villages in the 2000 EDHS sample.

A quick count was then carried out to provide an estimate of the number of households in each part. This information was needed to divide each part into standard segments of about 200 households. A group of 37 experienced field workers participated in the quick count operation. They were organized into 13 teams, each consisting of 1 supervisor, 1 cartographer and 1 or 2 counters. A one-week training course conducted prior to the quick count included both classroom sessions and field practice in a shiakha/town and a village not covered in the survey. The quickcount operation took place between late March and May 1999.

As a quality control measure, the quick count was repeated in 10 percent of the parts. If the difference between the results of the first and second quick count was less than 2 percent, then the first count was accepted. No major discrepancies were found between the two counts in most of the areas for which the count was repeated.

After the quick count, a total of 1,000 segments were chosen from the parts in each shiakha/town and village in the 2000 EDHS sample (i.e., two segments were selected from each of the 500 PSUs). A household listing operation was then implemented in each of the selected segments. To conduct this operation, 12 supervisors and 24 listers were organized into 12 teams. Generally, each listing team consisted of a supervisor and two listers. A one-week training course for the listing staff was held in mid-September 1999. The training involved classroom lectures and two days of field practice in three urban and rural locations not covered in the survey. The listing operation began at the end of September and continued for about 40 days.

About 10 percent of the segments were relisted. Two criteria were used to select segments for relisting. First, segments were relisted when the number of households in the listing differed markedly from that expected according to the quick count information. Second, a number of segments were randomly selected to be relisted as an additional quality control test. Overall, few major discrepancies were found in comparisons of the listings. However, a third visit to the field was necessary in a few segments in the Cairo and Aswan governorates because of significant discrepancies between the results of the original listing and the relisting operation.

The third stage involved selecting the household sample. Using the household lists for each segment, a systematic random sample of households was selected for the 2000 EDHS sample. All ever-married women 15-49 who were usual residents or who were present in the sampled households on the night before the interview were eligible for the EDHS.

Note: See detailed description of sample design in APPENDIX B of the report which is presented in this documentation.

Mode of data collection

Face-to-face

Research instrument

The 2000 EDHS involved two questionnaires: a household questionnaire and an individual questionnaire. The household and individual questionnaires were based on the model survey instruments developed by MEASURE DHS+ for countries with high contraceptive prevalence. Questions on a number of topics not covered in the DHS model questionnaires were also included in the 2000 EDHS questionnaires. In some cases, those items were drawn from the questionnaires used for earlier rounds of the DHS in Egypt. In other cases, the questions were intended to collect information on topics not covered in the earlier surveys (e.g., schooling of children).

The household questionnaire consisted of three parts: a household schedule, a series of questions related to the socioeconomic status of the household, and height and weight measurement and anemia testing. The household schedule was used to list all usual household members and visitors and to identify those present in the household during the night before the interviewer’s visit. For each of the individuals included in the schedule, information was collected on the relationship to the household head, age, sex, marital status (for those 15 years and older), educational attainment, repetition and dropout (for those 6-24 years), and work status (for those 6 years and older). The second part of the household questionnaire obtained information on characteristics of the physical and social environment of the household (e.g., type of dwelling, availability of electricity, source of drinking water, household possessions, and the type of salt the household used for cooking). Height and weight measurements were obtained and recorded in the last part of the household questionnaire for all ever-married women age 15-49 years and all children born since January 1995 who were listed in the household schedule. In a subsample of households, all eligible women, all children born since January 1995, and all children age 11-19 years were eligible for anemia testing.

The individual questionnaire was administered to all ever-married women age 15-49 who were usual residents or who were present in the household during the night before the interviewer’s visit. It obtained information on the following topics: - Respondent’s background - Reproduction - Contraceptive knowledge and use - Fertility preferences and attitudes about family planning - Pregnancy and breastfeeding - Immunization and health - Schooling of children and child labor - Female circumcision - Marriage and husband’s background - Woman’s work and residence.

The individual questionnaire included a monthly calendar, which was used to record a history of the respondent’s fertility, contraceptive use (including the source where the method was obtained and the reason for discontinuation for each segment of use), and marriage status during each month of around a five-year period beginning

Egypt EG: Nurses and Midwives: per 1000 People data was reported at 1.434 Ratio in 2014. This records a decrease from the previous number of 3.520 Ratio for 2010. Egypt EG: Nurses and Midwives: per 1000 People data is updated yearly, averaging 1.994 Ratio from Dec 2004 (Median) to 2014, with 3 observations. The data reached an all-time high of 3.520 Ratio in 2010 and a record low of 1.434 Ratio in 2014. Egypt EG: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

Abstract

The Egypt Demographic and Health Survey (2008 EDHS) is the latest in a series of a nationally representative population and health surveys conducted in Egypt. The 2008 EDHS was conducted under the auspices of the Ministry of Health (MOH) and implemented by El-Zanaty & Associates. Technical support for the 2008 EDHS was provided by Macro International through the MEASURE DHS project. MEASURE DHS is sponsored by the U.S. Agency for International Development (USAID) to assist countries worldwide in conducting surveys to obtain information on key population and health indicators.

The 2008 EDHS was undertaken to provide estimates for key population indicators including fertility, contraceptive use, infant and child mortality, immunization levels, coverage of antenatal and delivery care, maternal and child health, and nutrition. In addition, the survey was designed to provide information on a number of health topics and on the prevalence of hepatitis C and high blood pressure among the population age 15-59 years. The survey results are intended to assist policymakers and planners in assessing the current health and population programs and in designing new strategies for improving reproductive health and health services in Egypt.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men

Kind of data

Sample survey data

Sampling procedure

The primary objective of the sample design for the 2008 EDHS was to provide estimates of key population and health indicators including fertility and child mortality rates for the country as a whole and for six major administrative regions ( Urban Governorates, urban Lower Egypt, rural Lower Egypt, urban Upper Egypt, rural Upper Egypt, and the Frontier Governorates). In the Urban Governorates, Lower Egypt, and Upper Egypt, the 2008 EDHS design allowed for governorate-level estimates of most of the key variables, with the exception of the fertility and mortality rates. In the Frontier Governorates, the sample size was not sufficiently large to provide separate estimates for the individual governorates. To meet the survey objectives, the number of households selected in the 2008 EDHS sample from each governorate was not proportional to the size of the population in the governorate. As a result, the 2008 EDHS sample is not self-weighting at the national level, and weights have to be applied to the data to obtain the national-level estimates.

The sample for the 2008 EDHS was selected in three stages. The first stage included selecting the primary sampling units. The units of selection were shiakhas/towns in urban areas and villages in rural areas. A list of these units which was based on the 2006 census was obtained from CAPMAS, and this list was used in selecting the primary sampling units (PSUs). Prior to the selection of the PSUs, the frame was further reviewed to identify any administrative changes that had occurred after the 2006 Census. The updating process included both office work and field visits for a period of around 2 months. After it was completed, urban and rural units were separately stratified by geographical location in a serpentine order from the northwest corner to the southeast corner within each governorate. During this process, shiakhas or villages with a population less than 2,500 were grouped with contiguous shiakhas or villages (usually within the same kism or marquez) to form units with a population of at least 5,000. After the frame was ordered, a total of 610 primary sampling units (275 shiakhas/towns and 335 villages) were selected.

The second stage of selection involved several steps. First, detailed maps of the PSUs chosen during the first stage were obtained and divided into parts of roughly equal population size (about 5,000). In shiakhas/towns or villages with a population of 100,000 or more, three parts were selected, two parts were selected from PSU's with population 20,000 or more (and less than 100,000). In the remaining smaller shiakhas/towns or villages, only one part was selected. Overall, a total of 998 parts were selected from the shiakhas/towns and villages in the 2008 EDHS sample.

A quick count was then carried out to provide an estimate of the number of households in each part. This information was needed to divide each part into standard segments of about 200 households. A group of 48 experienced field workers participated in the quick count operation. They were organized into 15 teams, each consisting of 1 supervisor, 1 cartographer and 1 counter. A one-week training course conducted prior to the quick count included both classroom sessions and two field practices in a shiakha/town and a village not covered in the survey. The quick-count operation took place between the end of October 2007 and end of December 2007.

As a quality control measure, the quick count was repeated in 10 percent of the parts. If the difference between the results of the first and second quick count was less than 2 percent, then the first count was accepted. No major discrepancies were found between the two counts in most of the areas for which the count was repeated.

After the quick count, a total of 1,267 segments were chosen from the parts in each shiakha/ town and village in the 2008 EDHS sample (i.e., two segments were selected from 561 PSUs and three segments from 48 PSUs and one segment from one PSU). A household listing operation was then implemented in each of the selected segments. To conduct this operation, 14 supervisors and 28 listers were organized into 14 teams. Generally, each listing team consisted of a supervisor and two listers. A one-week training course for the listing staff was held at the beginning of January 2008. The training involved classroom lectures and two days of field practice in three urban and rural locations not covered in the survey. The listing operation took place during a six-week period, beginning immediately after the training.

About 10 percent of the segments were relisted. Two criteria were used to select segments for relisting. First, segments were relisted when the number of households in the listing differed markedly from that expected according to the quick count information. Second, a number of segments were randomly selected to be relisted as an additional quality control test. Overall, the discrepancies found in comparisons of the listings were not major.

The third stage involved selecting the household sample. Using the household listing for each segment, a systematic random sample of households was selected for the 2008 EDHS sample. All evermarried women 15-49 who were present in the sampled households on the night before the survey team visited were eligible for the main DHS interview. In addition, in a subsample of one-quarter of the households in each segment, all women and men age 15-59 who were present in the household on the night before the interview were eligible for the health issues interviews and the hepatitis C testing.

Note: See detailed description of the sample design in Appendix B of the survey report.

Mode of data collection

Face-to-face

Research instrument

Three questionnaires were used in the 2008 EDHS: a household questionnaire, an ever-married woman questionnaire, and a health issues questionnaire. The household and ever-married woman’s questionnaires were based on the questionnaires that had been used in earlier EDHS surveys and on model survey instruments developed in the MEASURE DHS program. The majority of the content of the health issues questionnaire was developed especially for the 2008 EDHS although some sections (e.g., the questions on female circumcision and HIV/AIDS knowledge and attitudes) were also based on questionnaires used in earlier EDHS surveys or were drawn from the model instruments from the MEASURE DHS program. The questionnaires were developed in English and translated into Arabic.

The first part of the household questionnaire was used to enumerate all usual members and visitors to the selected households and to collect information on the age, sex, marital status, educational attainment, and relationship to the household head of each household member or visitor. This information provided basic demographic data for Egyptian households. It was also used to identify the women who were eligible for the individual interview (i.e., ever-married women 15-49) as well as individuals eligible for the special health issues interviews and the hepatitis testing subsample. In the second part of the household questionnaire, there were questions relating to the socioeconomic status of the household including questions on housing characteristics (e.g., the number of rooms, the flooring material, the source of water and the type of toilet facilities) and on ownership of a variety of consumer goods. A special module was included in the household questionnaire on ownership of poultry and birds. In addition, height and weight measurements of respondents, youth, and children under age six were taken during the survey and recorded in the household questionnaire. The informed consent for the hepatitis C testing obtained from eligible respondents age 15-59 was also recorded in the household questionnaire.

The woman’s questionnaire was administered to all ever-married women age 15-49 who were usual residents or who were present in the household during the night before the interviewer’s visit. It obtained information on the following topics: • Respondent’s background • Reproduction • Contraceptive knowledge and use • Fertility preferences and attitudes about family planning • Pregnancy and breastfeeding • Immunization and child health • Husband’s background and

Egypt is planning to invest in the healthcare sector, and aims to renovate and establish 3,100 health facilities, 3,000 health units, and 100 hospitals by 2030.

In 2020, Egypt had a total of ********** outpatients in both public and private hospitals. The number of outpatients in public hospitals ranked first, with a score of **********, **** times more than the number of outpatients in public hospitals.

Abstract

The 1992 Egypt Demographic and Health Survey (EDHS) is the most recent in a series of surveys carded out in Egypt to provide information on fertility and child mortality levels, family planning awareness, approval and use and basic indicators of maternal and child health. The EDHS findings are important in monitoring trends in these variables and in understanding the factors which contribute to differentials in fertility and contraceptive use among various population subgroups. The EDHS also provides a wealth of health-related information for mothers and their children. These data are especially important for understanding the factors that influence the health and survival of infants and young children. In addition to providing insights into population and health issues in Egypt, the EDHS also hopefully will lead to an improved global understanding of population and health problems as it is one of more than 50 surveys implemented through the Demographic and Health Surveys program.

The primary objective of the EDHS is to provide data on fertility and mortality, family planning and maternal and child health. The survey obtained detailed information on these issues from a sample of ever-married women in the reproductive ages. In addition, a subsample of husbands was interviewed in an effort to obtain information on their fertility preferences and the role which they play in family planning decision making.

The EDHS information is intended to assist policymakers and administrators to evaluate existing programs and to design new strategies for improving family planning and health services in Egypt. A secondary objective is to enhance the capabilities of institutions in Egypt to collect process and analyze population and health data so as to facilitate the implementation of future surveys of this type.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men

Kind of data

Sample survey data

Sampling procedure

Sample Design

The 1992 Egypt Demographic and Health Survey covered over 11,000 households, which were scattered in 21 governorates. One of the key concerns in the design of the sample was the need 1o provide reliable estimates of fertility levels and contraceptive use for Egypt as a whole, and for urban and rural areas separately. Other domains for which reliable estimates were desired included the Urban Governorates, Upper Egypt, and Lower Egypt. In addition, estimates of key indicators for the women's sample were needed at governorate level. In order to allow for the governorate-level estimates, the number of households selected from each governorate is disproportionate to the size of the population in the governorate; thus, the EDHS sample is not self-weighting at the national level.

The 1992 EDHS sample was selected in three stages. The sampling units at the first stage were shiakhas/towns in urban areas and villages in rural areas. The frame for the selection of these primary sampling units (PSUs) was based on 1986 census data, which were provided by the Central Agency for Public Mobilization and Statistics (CAPMAS). During the first stage selection, 377 PSUs were sampled (169 in urban areas and 208 in rural areas).

The second stage of selection involved several steps. First, maps were obtained for each shiakha and village that had been selected at the first stage and divided into a number of roughly equal-sized parts. One of the pans was then selected from each PSU. In both urban and rural PSUs, a quick-count operation was carried out in the field to provide the information which was used to divide the selected pan into a number of segments of roughly equal size. Two segments from urban areas and one segment from rural areas were then chosen as the secondary sampling units.

After the secondary sampling units (SSUs) were selected, a household listing was obtained for each SSU. Using the household listing, a systematic random sample of households was chosen for the EDHS. A subsample of one-third of the households in every segment was selected for the husband survey. All ever-married women 15-49 who were present in the household on the night before the interview were eligible for the survey. The husbands' sample covered men who were currently married to eligible women.

Sample Implementation

Two different field operations were conducted during the sample implementation phase of the 1992 EDHS. A quick count for the PSUs selected in shiakhas/towns and villages was the first field operation. The objective of the quick count was to obtain an estimate of the number of households in the part to serve as the measure of size for the second stage selection.

Experience in the 1988 EDHS, in which a quick-count operation was carried out in only the urban PSUs, indicated that there was frequently significant variation between the target and the actual number of households in rural areas. This variation was largely due to the imprecision in assigning measures of size in some rural PSUs, which involved measuring the residential area on a map, many of which were out of date. Therefore, it was decided to carry out a quick count in both urban and rural areas. Prior to the quick-count operation, maps were obtained for each shiakha or town selected for the urban sample and for villages included in the rural sample that had more than 20,000 populations. These maps were divided into approximately equal-sized parts, and one part was randomly selected for the quick-count operation. For villages with less than 20,000 populations, the quick count was carried out for the entire village. It should be noted that the quick count for a rural area covered both the main village and all associated hamlets.

The one-week training course held prior to the quick-count field operation included both classroom instruction and practical training in shiakhas and villages not covered in the survey. The quick-count operation, which covered all 377 PSUs, was carried out between mid-May and mid-July 1993. A group of 52 field staff participated in the quick-count operation. The staff was divided into 15 teams, each composed of one supervisor, one cartographer and one counter.

As a quality control measure, 10 percent of the parts were selected, and a second count obtained. If the difference between the first and second counts was within 2 percent, the first count was accepted; otherwise, another visit was made to the field to resolve the discrepancy between the two counts. There were only a few cases in which a third visit was required.

The second field operation during the sample implementation phase involved a complete listing of all of the households living in the 546 segments chosen during the second stage of the sample selection. Prior to the household listing, 38 listing staff attended a one week training course, which involved both classroom lectures and field practice. After the training, 11 listing teams were formed. Each team consisted of a supervisor and two listers.

The listing operation started on September 10th and was completed by mid-October. Segments were relisted when the number of household in the listing differed markedly from that expected based on the quick count figures.

Note: See detailed description of sample design in APPENDIX B of the report which is presented in this documentation.

Mode of data collection

Face-to-face

Research instrument

The 1992 EDHS involved three types of questionnaires: a household questionnaire, an individual questionnaire for women, and an individual questionnaire for husbands. These questionnaires were based on the model survey instruments developed for the international Demographic and Health Surveys program. In particular, the household and women's questionnaires were built on the DHS model "A" questionnaire for high contraceptive prevalence countries. Additional questions on a number of topics not covered in the DHS model questionnaire were included in both the household and individual questionnaires.

The questionnaires were pretested in May 1992, following a two-week training course for supervisors and interviewers. Two supervisors, two field editors and ten interviewers participated in the pretest. Interviewer comments and tabulations of the pretest results were reviewed during the process of modifying the questionnaires.

The household questionnaire obtained a listing of all usual household members and visitors and identified those present in the household during the night before the interviewer's visit. For each of the individuals included in the listing, information was collected on the relationship to the household head, age, sex, marital status, educational level, occupation and work status. Finally, the household questionnaire also included questions on characteristics of the physical and social environment of the household (e.g., availability of electricity, source of drinking water, household possessions, etc.), which are assumed to be related to the health and socioeconomic status of the household.

The individual questionnaire for women was administered to all ever-married women age 15-49. It obtained information on the following topics: - Background characteristics - Reproduction - Knowledge and use of family planning - Other issues relating to contraception - Fertility preferences - Maternal care and breastfeeding - Immunization and health - Marriage - Husband's background, residence and women's work

The women's questionnaire included a monthly calendar, which was used to record fertility, contraceptive use, marriage, spousal absence, migration, and employment histories for a nearly six-year period beginning in January 1987. In addition, the interviewing teams measured the

Abstract

The 2014 Egypt Demographic and Health Survey (2014 EDHS) is the tenth in a series of Demographic and Health Surveys conducted in Egypt. As with the prior surveys, the main objective of the 2014 EDHS is to provide up-to-date information on fertility and childhood mortality levels; fertility preferences; awareness, approval, and use of family planning methods; and maternal and child health and nutrition. The survey also covers several special topics including domestic violence and child labor and child disciplinary practices. All ever-married women age 15-49 who were usual members of the selected households and those who spent the night before the survey in the selected households were eligible to be interviewed in the survey. The sample for the 2014 EDHS was designed to provide estimates of population and health indicators including fertility and mortality rates for the country as a whole and for six major subdivisions (Urban Governorates, urban Lower Egypt, rural Lower Egypt, urban Upper Egypt, rural Upper Egypt, and the Frontier Governorates). Unlike earlier EDHS surveys, the sample for the 2014 EDHS was explicitly designed to allow for separate estimates of most key indicators at the governorate level.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 1-17
• Woman age 15-49

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the 2014 EDHS was designed to provide estimates of population and health indicators including fertility and mortality rates for the country as a whole and for six major subdivisions (Urban Governorates, urban Lower Egypt, rural Lower Egypt, urban Upper Egypt, rural Upper Egypt, and the Frontier Governorates). The sample also allows for estimates of most key indicators at the governorate level.

In order to allow for separate estimates for the major geographic subdivisions and the governorates, the number of households selected from each of the major subdivisions and each governorate was disproportionate to the size of the population in the units. Thus, the 2014 EDHS sample is not self-weighting at the national level.

A more detailed description of the 2014 EDHS sample design is included in Appendix B of the final report.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2014 EDHS involved two questionnaires: a household questionnaire and an individual questionnaire. The questionnaires were based on the model survey instruments developed by the MEASURE DHS Phase III project. Questions on a number of topics not covered in the DHS model questionnaires were also included in the 2014 EDHS questionnaires. In some cases, those items were drawn from the questionnaires used for earlier rounds of the DHS in Egypt. In other cases, the questions were intended to collect information on new topics recommended by data users.

The EDHS household questionnaire was used to enumerate all usual members of and visitors to the selected households and to collect information on the socioeconomic status of the households as well as on the nutritional status and anemia levels among women and children. The first part of the household questionnaire collected information on the age, sex, marital status, educational attainment, and relationship to the household head of each household member or visitor. These questions were included in order to provide basic demographic data for the EDHS households. They also served to identify the women who were eligible for the individual interview and the women and children who were eligible for anthropometric measurement and anemia testing. In the second part of the household questionnaire, there were questions on housing characteristics (e.g., the number of rooms, the flooring material, the source of water, and the type of toilet facilities) and on ownership of a variety of consumer goods. Special modules collecting information relating to child labor and discipline were also administered in the household questionnaire. Finally, the height and weight measurements and the results of anemia testing among women and children were recorded in the household questionnaire.

The individual questionnaire was administered to all ever-married women age 15-49 who were usual residents or who were present in the household during the night before the interviewer’s visit. It obtained information on the following topics: respondent’s background, reproduction, contraceptive knowledge and use, fertility preferences and attitudes about family planning, pregnancy and breastfeeding, child immunization and health, child nutrition, husband’s background, women’s work, and health care, Female circumcision, and HIV/AIDS and other sexually transmitted infections.

In addition, a domestic violence section was administered to women in the subsample of households selected for the anemia testing. One eligible woman was selected randomly from each of the households in the subsample to be asked the domestic violence section.

The individual questionnaire also included a monthly calendar covering the period between January 2009 and the interview. A history of the respondent’s marital, fertility, and contraceptive use status during each month in the period was recorded in the calendar. If the respondent reported discontinuing a segment of contraceptive use during a month, the main reason for the discontinuation was noted in the calendar.

Cleaning operations

Office editing. Staff from the central office were responsible for collecting questionnaires from the teams as soon as interviewing in a cluster was completed. Limited office editing took place by office editors for consistency and completeness, and a few questions (e.g., occupation) were coded in the office prior to data entry. To provide feedback for the field teams, the office editors were instructed to note any problems detected while editing the questionnaires; the problems were reviewed by the senior staff and communicated to the field staff. If serious errors were found in one or more questionnaires from a cluster, the supervisor of the team working in that cluster was notified and advised of the steps to be taken to avoid these problems in the future.

Machine entry and editing. Machine entry and editing began while interviewing teams were still in the field. The data from the questionnaires were entered and edited on microcomputers using the Census and Survey Processing System (CSPro), a software package for entering, editing, tabulating, and disseminating data from censuses and surveys.

Fifteen data entry personnel used twelve microcomputers to process the 2014 EDHS survey data. During the data processing, questionnaires were entered twice and the entries were compared to detect and correct keying errors. The data processing staff completed the entry and editing of data by the end of July 2014.

Response rate

A total of 29,471 households selected for the 2014 EDHS, 28,630 households were found. Among those households, 28,175 were successfully interviewed, which represents a response rate of 98.4 percent.

A total of 21,903 women were identified as eligible to be interviewed in 2014 EDHS. Out of these women 21,762 were successfully interviewed, which represents a response rate of 99.4 percent.

The household response rate exceeded 97 percent in all residential categories, and the response rate for eligible women exceeded 98 percent in all areas.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: non-sampling errors and sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2014 Egypt Demographic and Health Survey (2014 EDHS) to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2014 EDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2014 EDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. Sampling errors are computed in either ISSA or SAS, using programs developed by ICF Macro. These programs use the Taylor linearization

Egypt EG: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data was reported at 3,422,000.000 Person in 2012. This records an increase from the previous number of 717,000.000 Person for 2008. Egypt EG: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data is updated yearly, averaging 885,000.000 Person from Dec 1997 (Median) to 2012, with 3 observations. The data reached an all-time high of 3,422,000.000 Person in 2012 and a record low of 717,000.000 Person in 2008. Egypt EG: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Poverty. Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure; ; Wagstaff et al. Progress on catastrophic health spending: results for 133 countries. A retrospective observational study, Lancet Global Health 2017.; Sum;

Snapshot img { margin: 10px !important; } Healthcare Information Systems Market Size 2025-2029

The healthcare information systems market size is forecast to increase by USD 142.3 billion, at a CAGR of 9.8% between 2024 and 2029.

The global healthcare information systems market is primarily shaped by regulatory mandates requiring advanced digital solutions to break down data silos and improve care coordination. This drives the adoption of compliant electronic health records and healthcare interoperability solution market technologies. The strategic shift toward cloud-based deployment and SaaS models further redefines healthcare it, offering a more scalable and cost-effective operational paradigm. This trend emphasizes the need for systems that support decentralized care delivery and remote patient monitoring tools, transforming how healthcare services are accessed and managed across different settings. The evolution of these systems is critical for enhancing both operational efficiency and patient outcomes.The migration to cloud architectures, while offering significant benefits, introduces the formidable challenge of sophisticated cybersecurity threats. This constant operational and financial drain necessitates immense ongoing investment in defensive measures and incident response planning to protect sensitive medical information. The interconnected nature of modern healthcare services market ecosystems, from the hospital information system to pharmacy information systems, creates a large and attractive attack surface for malicious actors. This makes robust cybersecurity in healthcare a primary consideration for providers as they invest in new healthcare analytics platforms and other digital tools to support patient care.

What will be the Size of the Healthcare Information Systems Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe hospital information system and pharmacy information systems are evolving through healthcare it initiatives that prioritize data aggregation and integration. The move toward value-based care models necessitates robust healthcare analytics and clinical workflow optimization. The healthcare cloud computing market is enabling this shift by providing scalable infrastructure for managing patient-generated health data and supporting ehealth software and services market platforms, ensuring data is accessible and actionable across the care continuum.The integration of generative AI and predictive analytics is transforming clinical decision support systems within the broader healthcare information systems market. However, effective data migration and overcoming interoperability hurdles remain critical for success. Ensuring robust cybersecurity in healthcare is essential for protecting patient data access across telemedicine platforms and mobile health applications. The efficacy of population health management systems ultimately hinges on seamless health information exchange and the universal adoption of standardized data formats like FHIR.

How is this Healthcare Information Systems Industry segmented?

The healthcare information systems industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. ApplicationRevenue cycle managementHospital information systemMedical imaging information systemPharmacy information systemsLaboratory information systemsTechnologyEHRsEMRsMobile healthTelemedicine platformsPopulation health management systemsComponentSoftwareServicesHardwareGeographyNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceThe NetherlandsItalySpainAsiaRest of World (ROW)

By Application Insights

The revenue cycle management segment is estimated to witness significant growth during the forecast period.Revenue cycle management systems represent a significant application segment, focused on managing financial workflows from patient registration to final payment collection. These platforms integrate clinical and administrative data to streamline claims processing automation, manage denials, and optimize coding accuracy optimization. The increasing complexity of modern reimbursement models and the fundamental shift toward value-based care are primary drivers for the adoption of these advanced financial visibility tools across healthcare organizations.Rising patient financial responsibility also necessitates integrated features such as payment estimation tools and flexible payment portals. The criticality of resilient RCM systems was recently highlighted by a major cybersecurity incident that disrupted operations for thousands of providers. This event has accelerated investments in secure, cloud-based solutions with embedded AI for p

Health expenditure as a share of GDP of Egypt increased by 2.06% from 4.6 % in 2021 to 4.7 % in 2022. Since the 9.69% drop in 2020, health expenditure as a share of GDP surged by 13.25% in 2022. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.