Edited by: Gilles Dussault, New University of Lisbon, Portugal
Reviewed by: Milena Santric Milicevic, University of Belgrade, Serbia; Marius-Ionuţ Ungureanu, Babeş-Bolyai University, Romania
This article was submitted to Family Medicine and Primary Care, a section of the journal Frontiers in Public Health
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Non-communicable diseases (NCD) are an undisputed global challenge, increasing and multiplying with age, and are associated with higher and disproportional use patterns of health services (
Albania, a South-Eastern European (SEE) country, is amongst the majority of European countries that regard the NCD epidemic as its most important public health challenge. The burden of chronic diseases (e.g., hypertension, cardiovascular diseases, and diabetes) are a central point of concern. In the decades ahead, it is predicted that the burden of chronic disease in Albania could increase further due to (i) lifestyle, (ii) lack of awareness of the disease, (iii) lack of the culture of prevention, inherited from the past ex-communist system, and (iv) heavily relying in curative care (polyclinics and hospitals) rather than prevention of the disease (
Access to PHC public services is free; since 2017, no citizen has been charged at the entry point of care, irrespective of their insurance status. Meanwhile, access to publicly financed outpatient specialist care requires a referral by a PHC provider. Outpatient specialist visits, with a PHC referral, are free of charge for people covered by the Mandatory Health Insurance Fund (MHIF). People without a PHC referral pay out of pocket based on tariffs set by the Ministry of Health and Social Protection (MoHSP), with tariffs varying by service. Those who are diagnosed with a condition can then either access inpatient care following the referral system and get free visits, or go directly to a specialist and pay the tariffs. Co-payments are applied to outpatient prescribed medicines, medical products and some diagnostic tests (
PHC services provides a package of basic medical aid: emergency care; mental health care; health services for children, women of reproductive age, adults and elderly people; health promotion and education (
In rural areas, a typical health center is staffed by up to three primary care doctors and nursing staff. By contrast, urban areas have PHCs as well as larger polyclinics that provide outpatient specialist care. These polyclinics serve sometimes as a first point of contact. In the private sector, principally in bigger urban settings, outpatient clinics offer a full range of medical services, anywhere from diagnostics to providing more comprehensive treatment and support (
In the last decade, a comprehensive approach has been employed by the Albanian government in order to tackle the toll of NCDs. With their aim being to strengthen and expand the role of primary health care (
Although there has been a positive trend of visits to primary care facilities over the last decade (
The dynamics and patterns of care-seeking behaviors among adults and elderly people with NCDs remains scarcely documented in SEE countries, including Albania. As a result, we chose to investigate the first point of service use of persons suffering from an NCD in Albania.
There are different features that shape the healthcare utilization behaviors of patients. In order to understand decision making in health service utilization, classical models rely on identifying drivers that influence the choice (
There is consistent international commitment to reducing the burden of NCDs (
While the importance of PHC services in LMIC is generally acknowledged, effective access and use of PHC services, as well as what drives NCD patients in LMIC, is not well-documented or researched (
This is also true for SEE countries, whose healthcare systems are in transition after having been previously focused on curative rather than preventive measures, and on infectious rather than non-communicable diseases (
Against this background, this study provides new evidence for understanding the care-seeking behavior of adults and elderly people suffering from NCDs in LIMC countries. More explicitly, it focuses on the utilization of primary care vs. hospitals for initiating care and following up on the chronic conditions (
The aims of this study are to assess the health seeking patterns of adults (aged 18–59) who suffer from NCDs and compare them to the patterns of elderly people (aged > =60) in order to establish a possible relationship between sociodemographic variables and care-seeking behaviors.
The data for this study were collected by the Household Survey within the “Health for All” (HAP) project in Albania, funded by the Swiss Agency for Development and Cooperation (
The household cross-sectional survey was conducted in December 2018 in two regions: (
The study population consisted of adults, aged 18 years and above who reported suffering from NCDs such as hypertension, heart problems (CVD), diabetes, rheumatism, respiratory diseases and diseases of the nervous system, mental health, stroke and cancer. Participants resided in selected households, and consented to take part in the study. Information on sociodemographic characteristics, type of illness, diagnosis and health seeking behavior were obtained.
This survey was based on a cross-sectional cluster sample design using population estimates from the 2011 census, extrapolated to 2018. Sampling was conducted in a two-stage approach to obtain representative data for the two regions of Albania that were covered (stratified by urban and rural areas).
The sample size calculation was based on estimating important prevalence with sufficient precision in each of the two districts. For instance, a true outcome prevalence of 10% was to be estimated within an error margin of 3%, with 95% certainty. Based on experience, we assumed a cluster size of 12 households and an intraclass correlation of 0.04 would provide a design effect of 1.44, rounded to 1.5. With an assumed non-participation rate of 10%, this resulted in 53 clusters, or 634 households, per district.
The required number of clusters was obtained according to the formula:
where
Households were included if at least one person who resided there suffered from a chronic condition or disability that lasted more than 3 months. Within each household, the “head of household” was asked about characteristics of the home and its members, including health and insurance status. We then randomly selected one individual to obtain information regarding their type of illness, diagnosis and health seeking behavior.
The questionnaire was designed to provide relevant information on health patterns and care-seeking behaviors of adults and elderly people suffering from NCDs. The questionnaire applied was divided into two parts: (i) household questions, such as distances to health facilities and services at community level, household characteristics, etc. and (ii) individual questions for persons with at least one chronic condition, including socio demographic information (e.g., age, gender, education, employment, insurance and respective NCD(s), and specific information on disease patterns and health seeking behavior. The primary outcome was the type of provider that individuals with NCDs visited over the past 4–8 weeks.
Specifically, the questionnaire included items investigating three main areas of interest: (1) service provider where the patient initiated care, (2) the place of diagnosis of their NCDs, and (3) service provider consulted within the 8 weeks prior to the interview. Information about the patients' first contact was obtained by asking them which health facility they would most likely go to for initial medical assistance when facing health problems. Regarding the most recent visits, we asked patients to further specify the healthcare provider they consulted within the last 8 weeks (related to their NCD care needs). In the analysis, we only looked at the first service use and not on multiple service uses. Respondents with chronic conditions who did not exclusively use PHCs were asked about the reasons for bypassing PHCs.
Data collection was carried out between the 7th and 20th of December 2018 by 16 interviewers, organized into four teams. Each team was headed by one supervisor who was responsible for the organization of the team and quality assurance of the data collection process. Before data collection, interviewers and supervisors were trained in a two-and-a-half-day course, which included a pretest. Data collection was done using electronic data capture with tablets, equipped with Open Data Kit software (ODK), and was handled through a structured questionnaire. Respondents were asked questions without hearing the survey choices (i.e., respondents were given the chance to respond freely). Based on the answers given by the respondents, respective categories were ticked by the interviewers. In other cases, the answer categories were prompted by the interviewers from the ODK form (
Data were analyzed using STATA, version 14 (Stata Corp, College Station, TX, USA). The respondents participating in the survey were stratified into two main groups, namely adults (aged 18–59) and elderly (aged > =60) who reported having an NCD. The care-seeking patterns were assessed through descriptive statistics and binary and multinomial logistic regression models. The dependent variable was the type of facility utilized (primary care settings vs. hospitals) for regular care seeking during the last 2 months. The health care providers included district level health care facilities.
Binary logistic regression models were used to identify factors associated with the preference for attending a primary care health facility as opposed to a public hospital. These analyses were then refined by distinguishing different types of primary care facilities (i.e., PHC facility, a polyclinic or health post) in multinomial logistic regression models. Based on existing literature and our research questions, we included both socio-economic and health characteristics of the respondents, such as (1) gender (male or female), (2) age group (18–59 or > =60 years), (3) residency (urban or rural), (4) health insurance and socioeconomic beneficiary status (yes or no), and (5) the respective type of NCD. Region of study was further included to adjust for unobserved confounders differing between the two regions. Moreover, we investigated the relationship between different reported conditions and the use of PHC settings as regular NCD providers. Standard errors of parameter estimates were adjusted for potential clustering of the data within communities of residence. Results of the multinomial logistic regression models are expressed as relative risk ratios (RRR) which can also be interpreted as odds ratios (ORs) between the specific outcome level and the reference outcome level for the respective factors. In our analyses, we always used “public hospital” as a reference level.
The study protocol and questionnaires received ethical clearance from the MoHSP on the 8th of October 2018, Nr. prot.5800.
Given the lack of preference of the patients for written consent, mainly due to their reluctance to share personal information, oral informed consent was obtained from all respondents at the beginning of the interview. It was pointed out that participation was voluntary and that the respondents could withdraw their participation at any time. The head of household was also provided with an informational letter on the objective and the purpose of the survey and aspects relating to the confidentiality of information.
Overall, we established contacts with 1,371 eligible households, 82 (6%) of which did not consent to participate. This resulted in 1,289 households. From 3,799 adult individuals living in these households, 1,116 (29. 4%) suffered from an NCD.
Nearly two-thirds (64%) of the households were located in rural areas. The average number of household members was 3.4 persons (SD 1.8). The most common sources of income for households were governmental pensions (59%), followed by farming/livestock (33%), remittances (27%), salary (26%), social aid (20%), and private business (13%). Average age of household members was 41 years. More than half of the individuals were married (58%) and more than one third were single (34%). The most common educational degree obtained was completion of secondary school (grades 6–9, 43%), while others had a high school degree (grades 10–12, 30%).
Patients' socio-demographic characteristics by age category.
Male | 407 | 36 | 144 | 33 | 263 | 39 |
Female | 709 | 64 | 303 | 67 | 406 | 61 |
18–59 years | 447 | 40 | 447 | 40 | ||
≥60 years | 669 | 60 | 669 | 60 | ||
None | 12 | 1 | 3 | 1 | 9 | 1 |
pre-school/kindergarten | 2 | 0 | 0 | 0 | 2 | 0 |
primary (grade 1–5) | 193 | 19 | 10 | 2 | 183 | 30 |
secondary grade (grade 6–9) | 495 | 48 | 238 | 55 | 257 | 42 |
high school | 268 | 26 | 142 | 33 | 126 | 21 |
Technical/college | 13 | 1 | 5 | 1 | 8 | 1 |
University | 57 | 5 | 31 | 7 | 26 | 4 |
Private business in Albania | 144 | 7 | 81 | 11 | 63 | 5 |
Salary | 266 | 13 | 140 | 18 | 126 | 10 |
Pension | 733 | 35 | 134 | 17 | 599 | 46 |
Social aid | 209 | 10 | 111 | 14 | 98 | 8 |
Farming/livestock | 371 | 18 | 181 | 24 | 190 | 15 |
Remittances | 307 | 15 | 101 | 13 | 206 | 16 |
Other | 38 | 2 | 22 | 3 | 16 | 1 |
Married | 832 | 75 | 391 | 87 | 441 | 66 |
Divorced | 7 | 1 | 6 | 1 | 1 | 0 |
Separated | 1 | 0 | 0 | 0 | 1 | 0 |
widow/er | 241 | 22 | 20 | 4 | 221 | 33 |
Single | 35 | 3 | 30 | 7 | 5 | 1 |
Yes | 958 | 86 | 339 | 76 | 619 | 93 |
No | 158 | 14 | 108 | 24 | 50 | 7 |
Yes | 229 | 21 | 124 | 28 | 105 | 16 |
No | 887 | 79 | 323 | 72 | 564 | 84 |
Rural | 712 | 64 | 282 | 63 | 430 | 64 |
Urban | 404 | 36 | 165 | 37 | 239 | 36 |
In both age groups, most people lived in rural areas (64%). The age distribution was similar in urban and rural areas. Older participants were more likely to have a low education level (primary education or below) than younger participants. The main sources of income were pensions and remittances for the older age group (elderly) and farming or salaried activities for the younger age group (adults). The coverage of health insurance was higher among the elderly.
Frequency of self-reported NCDs among adults and elderly (numbers in percentages).
About one-third of the interviewees (344/1,116) reported having two chronic conditions, 35% (235/669) of whom were the elderly group and 24% (109/447) the adult group; from there, 16% (180/1,116) indicated having three conditions and 5% (60/1,116) indicated having four or more chronic conditions. The respective percentages were consistently higher in the elderly group than in the adult group. Prevailing paired combinations were hypertension and heart problem (31%), hypertension and rheumatism (31%), hypertension and diabetes (15%), and heart problems and rheumatism (5%).
Of our interviewees, 96% of them used public sector health providers for initiating care. Only 4% declared that they received care through private providers, typically by a private hospital or clinic (75%).
Types of clinics attended by adults and elderly with NCD(s) for initiating care, establishing diagnoses, and seeking regular care (follow up)*.
Governmental hospital | 351 | 33 | 171 | 40 | 180 | 28 | |
Governmental policlinic | 23 | 2 | 5 | 1 | 18 | 3 | |
Governmental health center | 574 | 53 | 208 | 49 | 366 | 56 | |
Health Post | 130 | 12 | 43 | 10 | 87 | 13 | |
Governmental hospital | 678 | 64 | 278 | 67 | 400 | 62 | |
Governmental policlinic | 47 | 4 | 13 | 3 | 34 | 5 | |
Governmental health center | 298 | 28 | 113 | 27 | 185 | 29 | |
Health Post | 35 | 3 | 10 | 2 | 25 | 4 | |
Governmental hospital | 295 | 37 | 135 | 46 | 160 | 32 | |
Governmental policlinic | 37 | 5 | 15 | 5 | 22 | 4 | |
Governmental health center | 416 | 53 | 127 | 43 | 289 | 58 | |
Health Post | 42 | 5 | 17 | 6 | 25 | 5 |
The proportion of persons using a hospital for initiating care was 40% among adults and 28% among the elderly (
The study participants established their laboratory diagnosis mainly through hospitals (64%), followed by PHC centers (28%) and polyclinics (4%); there was little variation between the two age groups in terms of proportions.
Out of 1,116 adult participants with a chronic condition, 82% of respondents consulted a health service provider over the past 2 months. Contrastingly, 18% did not seek care or relied on self-treatment.
Of 914 people who sought care over the last 8 weeks, 790 people indicated having consulted a public provider (see
Participants had certain reasons for choosing their respective providers for NCD treatment, those of which include geographical proximity to the health provider (49%), low costs (37%), good services (27%), insurance coverage (24%), familiarity with the staff (22%), quality of care (19%), and well-qualified staff (15%).
Out of 1,116 persons with a chronic condition, 44% (
Frequency and regularity of health seeking behavior for chronic condition among adults and elderly (
Does not seek care | 34 | 3 | 19 | 4 | 15 | 2 |
Several times per month | 117 | 10 | 43 | 10 | 74 | 11 |
Once per month | 495 | 44 | 146 | 33 | 349 | 52 |
Several times per year | 394 | 35 | 207 | 46 | 187 | 28 |
Once per year | 57 | 5 | 27 | 6 | 30 | 4 |
Less regular than once per year | 19 | 2 | 5 | 1 | 14 | 2 |
Total | 1,116 | 100 | 447 | 100 | 669 | 100 |
The main reasons for not seeking care were related to self-medication and the belief that the health problem would go away without medical treatment. Lack of financial funds was another aspect that patients mentioned, as well as the lack of time/transport.
Given that the vast majority of the study participants reported utilizing governmental providers, the present study solely focuses on those who have consulted a governmental service and further assesses the level of care and possible association with their sociodemographic characteristics. In order to establish such an association, logistic and multivariate regression methods were employed.
Because the respondents could indicate multiple levels of services used, we set a condition in the regression model to include those who mentioned one choice. This resulted in a total of 698 observations included in the analysis.
Odds ratios of using primary care facilities as opposed to public hospitals for NCD-care in the preceding 8 weeks associated with different personal characteristics.
Male | |||||||||||
Female | 0.97 | 0.66; 1.42 | 1.40 | 0.29;6.63 | 0.99 | 0.67; 1.49 | 0.54 | 0.21; 1.34 | |||
<60 year | |||||||||||
> =60 year | 1.56 | 1.04; 2.35 | 0.67 | 0.10; 4.15 | 1.67 | 1.10; 2.53 | 0.76 | 0.29; 2.00 | 0.03 | 0.01b | |
Married | |||||||||||
Widower | 0.97 | 0.62; 1.51 | 3.85 | 0.84; 17.6 | 0.89 | 0.57; 1.40 | 1.81 | 0.62; 5.25 | 0.08a |
||
Single/divorced | 1.09 | 0.40; 2.99 | 0.74 | 0.02; 23.7 | 1.38 | 0.49; 3.87 | 0 | 0 | |||
Yes | |||||||||||
No | 1.08 | 0.51; 1.87 | 0 | 0 | 1 | 0.56; 1.76 | 3.26 | 1.15; 9.27 | 0.03c | ||
No | |||||||||||
Yes | 0.79 | 0.51; 1.21 | 1.42 | 0.25; 7.80 | 0.73 | 0.47; 1.14 | 1.29 | 0.45; 3.63 | 0.03b | ||
Rural | |||||||||||
Urban | 0.93 | 0.65; 1.33 | 10.1 | 2.1; 50.1 | 0.91 | 0.63; 1.31 | 0.42 | 0.14; 1.21 | 0.05a | ||
Hypertension | y vs. n | 1.94 | 1.32; 2.85 | 0.60 | 0.15; 2.48 | 1.94 | 1.31; 2.88 | 3.31 | 1.20; 9.01 | 0.01 | 0.08b |
Diabetes | y vs. n | 0.71 | 0.46; 1.08 | 0.29 | 0.05; 1.61 | 0.73 | 0.47; 1.12 | 0.61 | 0.19; 1.91 | ||
Heart problems | y vs. n | 0.69 | 0.48; 0.98 | 0.24 | 0.05; 1.04 | 0.74 | 0.51; 1.05 | 0.41 | 0.16; 1.03 | ||
Stroke | y vs. n | 0.55 | 0.17; 1.69 | 0 | 0 | 0.65 | 0.21; 2.01 | 0 | 0 | ||
Cancer | y vs. n | 0.84 | 0.24; 2.90 | 0 | 0 | 1.01 | 0.29; 3.45 | 0 | 0 | ||
Respiratory diseases | y vs. n | 1.54 | 0.78; 3.03 | 0.66 | 0.06; 6.92 | 1.50 | 0.75; 2.98 | 2.33 | 0.57; 9.47 | ||
Mental disorder | y vs. n | 1.67 | 0.59; 4.73 | 1.51 | 0.05 43.4 | 1.25 | 0.41; 3.81 | 9.57 | 1.75; 52 | 0.01c | |
Nervous system | y vs. n | 1.20 | 0.50; 2.87 | 1.72 | 0.18; 16.7 | 1.29 | 0.53; 3.12 | 0 | 0 | ||
Rheumatism | y vs. n | 0.86 | 0.60; 1.23 | 1.66 | 0.48; 5.76 | 0.85 | 0.59; 1.22 | 0.69 | 0.29; 1.63 |
After adjusting for the sociodemographic factors, the elderly group were consistently more likely to choose a primary healthcare setting. Given the choice between attending a primary health care facility or a public hospital, the odds that elderly people opt for a primary care setting increase by a factor of 1.56 (95% CI:1.04; 2.35) and by a factor of 1.67 (95% CI: 1.10; 2.53) for PHCs, compared to the choice of attending a hospital for NCD follow-up care.
Regarding the role of marital status, widows were more likely than married people to follow up on their chronic health conditions at polyclinics (OR 3.85; 95% CI: 0.84; 17.6). Additionally, a positive association was found between living in an urban residence and seeking regular NCD care at polyclinics (OR 10.1; 95% CI: 2.1; 50.1).
Individuals who suffered from hypertension tended to regularly follow up on their condition at the primary care level, as opposed to a public hospital, especially at a PHC (OR 1.94; 95% CI: 1.31; 2.88) or health post (OR 3.31; 95% CI: 1.20; 9.01).
A positive association was observed between people with no health insurance and the preference for health posts for managing chronic health conditions (OR 3.26; 95% CI: 1.15; 9.27). There was no significant gender difference observed with regard to opting for a primary health care setting (polyclinics, PHC or Health posts).
From the total sample, 985 respondents (87%) reported having a facility closer to the (than the nearest hospital (1–5 km). Patients often chose to visit both PHC facilities and public hospitals because they had been referred by their doctor (adults 31%; elderly 26%) or that tests (adults 26%; elderly 22%) or services had not been offered at the level of the PHC provider (adults 16%; elderly 16%). Almost 7% of patients with a chronic condition chose to exclusively (or occasionally) visit a public hospital, due to their perception of a doctor's competence and perceived poor quality of services (see
Reasons for not using PHC services.
Services are not offered | 89 | 16 | 109 | 16 |
Too far, no transport | 3 | 1 | 20 | 3 |
Not competent staff | 34 | 6 | 43 | 6 |
Not all tests could be conducted | 141 | 26 | 145 | 22 |
I was referred (to specialist doctor) | 167 | 31 | 173 | 26 |
I know the other doctor | 21 | 4 | 44 | 7 |
Facility closed | 22 | 4 | 29 | 4 |
Poor service | 47 | 9 | 50 | 8 |
Other | 19 | 3 | 49 | 8 |
Total population | 543 | 45 | 662 | 55 |
This study adds evidence to the care-seeking patterns and health service consultations among adults and elderly people suffering from NCDs in LMICs, responding to the recent call for more empirical research to understand the health service utilization by patients with NCDs in LIMCs (
Several studies have investigated health services utilization patterns of people with NCDs at PHC and hospital level in near-by countries (
Our findings provide new evidence on drivers of the use of PHC services by patients with chronic conditions, and thus contributes to the international debate for moving toward Universal Health Coverage (
The provider of choice for initiating care for patients with NCDs were either a government PHC (e.g., health centers, polyclinics, and health post) or a public hospital. The reasons for these choices were: geographical proximity, low costs, health insurance coverage, and quality of services. These findings are similar to those from previous studies which showed that such facilities are the first point of care for patients with any disease in Albania (
The preference for PHC institutions when initiating care has also been found in studies undertaken in other settings where primary care is either evolving, or is a vital pillar of the overall health system. However, the findings are not conclusive; there is concern that primary care facilities remain underutilized in settings where the PHC is less consolidated (
The behavior among adults and the elderly population related to “the initial point of care” varied; a greater proportion of adults (40%) suffering from NCDs initiated care directly at the hospital level through self-referral, bypassing PHC services. The study results indicate that adults frequently go directly to the hospital, albeit associated with higher costs. This finding has also been stated in previous research conducted (20). There is evidence that older and less educated patients are more likely to follow the advice of their PHC provider, and are therefore less likely to bypass the gatekeeping system (
Higher-level public hospitals in Albania are largely perceived to have better health resources, both in terms of workforce and diagnostics, and a greater ability to provide quality of services compared to public health facilities at lower-levels. This could explain why a relatively high proportion of adults decide to initiate care directly at the hospital level (
The study results indicate that, given the choice between attending primary care facilities or a public hospital, the odds that elderly people would use the primary care facilities were consistently higher compared to adults. Patients who chose to consult with other providers over consulting with PHC facilities (e.g., polyclinics, specialists in hospitals) did so mainly because they were either referred, not all tests were available, or services were not offered.
These findings indicate an opportunity to provide specific NCD screening and management programs in primary healthcare facilities. NCD screening and diagnostic services could be similarly provided through existing government healthcare facilities (i.e., primary healthcare centers and health posts). Thus, having well-established referral patterns and integrated service models where both specialists at polyclinics or hospitals, and also family doctors at PHCs, hold a role and are related through well-structured systems to each other, would increase the effectiveness and efficiency to manage chronic conditions. Updated protocols, along with mechanisms ensuring their effective use (e.g., electronic decision support systems), may tackle both the high referral rate and the bypassing of the PHC system, thereby increasing the potential for primary health care to better contribute to NCD follow-up.
Therefore, continuous professional development systems should ensure that the knowledge and skills of healthcare professionals are regularly updated, and that essential NCD services, including those relating to the elderly and mental health conditions, are provided with good quality.
No association was found between insurance status and primary healthcare service utilization. In fact, since 2016, even the uninsured population suffering from an NCD are entitled to drug reimbursement schemes. All the patients are eligible to have free medical care through a family physician (i.e., PHC) if they have a personal ID. They are also eligible for an initial diagnosis from a specialist, (if assumed to be chronic disease patients) after which they follow the referral system from PHC and onwards. Moreover, first choice treatments (i.e., drugs), which are ordered by the specialist and prescribed by the family doctor at a PHC facility, are reimbursed. Consequently, a health insurance card is mainly necessary for obtaining additional tests and treatment options at the level of PHC and/or specialty services.
We found that 18% of people who were chronically ill did not consult a service within the previous 8 weeks of the interview, thus exhibiting a lack of a regular care-seeking behavior or relying in self-treated, for example by going directly to a pharmacist.
Given the age distribution of the patients suffering from NCDs, a higher number of elderly people are present in the sample (which is expected, although it might imply some underrepresentation of younger adults). The differentiation between high blood pressure and heart problems may have led to some confusion in the way lay persons use concepts of circulatory problems (high blood pressure) and cardiac/heart problems (ischemia, for instance). The regions where the study was conducted represent both the mountainous and coastal regions of Albania. Given the socio-cultural and economic diversity of the country, care-seeking patterns in major urban cities, namely Tirana, are likely to differ. Complementary qualitative research may be conducted in the future, including in-depth interviews or focus group discussions. This could aid in the investigation of health seeking pathways and identify reasons why chronically ill patients choose to by-pass PHC services and consult directly at hospital level.
This study indicates that, in the two regions of study, ~90% of the households' healthcare demands for NCD management was addressed by the public health sector, often via the primary care level and public hospitals.
Patients most commonly chose to visit both PHC facilities and hospitals because they were referred, or because of the lack of tests/services accessible to them at the PHC level of care. While elderly people most frequently initiated treatment and followed up on their respective chronic conditions at the PHC level, a substantial number of adults initiated and sought regular NCD care at the hospital level. This would indicate a propensity for younger NCD patients to choose more facilities with higher-level healthcare than is actually necessary, compared to the elderly group.
Primary health care services were more likely to be the regular NCD care provider for people suffering from hypertension. Meanwhile, polyclinics were more likely to be used among those who suffered from conditions such as mental disorder, stroke and cancer. Participants living in urban areas were more likely to seek regular care at polyclinics compared to their counterparts living in rural areas.
In order to foster and scale management of chronically ill patients in primary care settings in Albania, there is a need for (i) updated protocols on standardized procedures of NCD treatment for adults/elderly people and systems assuring their effective use, (ii) increased referral support, (iii) essential diagnostic tools, (iv) skillful health workforce at PHC level who are able to manage and coordinate NCD care, and (v) raising of population awareness on the benefits of primary care for the integrated management of chronic conditions.
Oral informed consent was obtained from all respondents.
Data are available on reasonable request and approval by the authors and involved project partners.
The study protocol was approved by the ethics committee of north-western and central Switzerland (EKNZ- Ethikkommission Nordwest- und Zentralschweiz), No. 30 715, and the study protocol and questionnaires received ethical clearance from the MoHSP on the 8th of October 2018, Nr. prot.5800. Given the lack of preference of the patients for written consent, mainly due to their reluctance to share personal information, oral informed consent was obtained from all respondents at the beginning of the interview. It was pointed out that participation was voluntary and that the respondents could withdraw their participation at any time. The head of the household was also provided with an informational letter on the objective and the purpose of the survey and aspects relating to the confidentiality of information.
JG and KW: conceptualization. JG and CS: data curation, formal analysis, and methodology. JG: writing—original draft. CS and KW: Review and editing. KW made substantial contribution on critically revising the manuscript for important intellectual content. All authors contributed substantially to manuscript and agreed to the final version.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We would like to thank the team of the Health for All Project (Projekti HAP) for their support on the field-work. Special thanks to Sabine Kiefer, Altina Peshkatari & Manuela Murthi, the regional coordinators of Fier and Diber region and data collectors for their outstanding contribution. The contribution of Ms. Katelyn Woolheater with the English language editing is also acknowledged.
The Supplementary Material for this article can be found online at:
Primary healthcare
Universal Health Coverage
Non-communicable diseases
Demographic and Health Surveys
Ministry of Health and Social Protection
Mandatory Health Insurance Fund
World Health Organization
Open Data Kit
Health centers
Low- and Middle- Income Countries
European Union
South-Eastern European countries.