| Literature DB >> 33262191 |
Jonila Gabrani1,2, Christian Schindler3, Kaspar Wyss4,2.
Abstract
OBJECTIVES: To identify key factors influencing the utilisation of governmental and private primary healthcare services in Albania.Entities:
Keywords: complementary medicine; health policy; international health services; primary care; quality in health care
Year: 2020 PMID: 33262191 PMCID: PMC7709502 DOI: 10.1136/bmjopen-2020-040398
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1The concept of access: definition and relationship to consumer satisfaction. Adapted from Penchansky and Thomas.6 Concept of access first elaborated in 1981.
The dimensions of access to healthcare services according to the ACCESS Framework
| Dimension | Definition | Aspects to consider |
| Availability | ‘The existing health services and goods meet clients’ needs.’ | Adequate supply of services, goods and facilities, including types of services, sufficient skilled human resources. |
| Accessibility | ‘The location of supply is in line with the location of clients.’ | Proximity means of transportation and travel time. |
| Affordability | ‘The prices of services fit the clients’ income and ability to pay.’ | Direct and indirect costs of accessing healthcare. |
| Adequacy | ‘The organisation of healthcare meets the clients’ expectations.’ | Organisation of services, including the standard of the facilities and meeting user expectations. |
| Acceptability | ‘The characteristics of providers match with those of the clients.’ | Ethical standards and the appropriateness of services, goods and facilities to address cultural and gender differences and life-cycle requirements; to improve outcomes; and to ensure confidentiality, effective communication and facilitating attitudes. |
Dimensions of the framework further operationalised by Obrist et al.29
Patients’ characteristics on sociodemographic and health measures by type of healthcare provider
| Characteristics | Total population | Public PHC clinics | Private outpatient clinics | |||
| N | % | N | % | n | % | |
| Gender | 629 | 451 | 178 | |||
| Male | 250 | 40 | 186 | 41 | 64 | 36 |
| Female | 379 | 60 | 265 | 59 | 114 | 64 |
| Age | 624 | 449 | 175 | |||
| <59 years old | 344 | 55 | 240 | 53 | 104 | 59 |
| ≥60 years old | 280 | 45 | 209 | 47 | 71 | 41 |
| Education | 512 | 343 | 67 | 169 | 33 | |
| University/college | 74 | 14 | 46 | 13 | 28 | 16 |
| High school (12 years) | 187 | 37. | 125 | 37 | 62 | 37 |
| Primary and secondary school (5–9 years) | 242 | 47 | 164 | 48 | 78 | 46 |
| Iliterate/other | 9 | 2 | 8 | 2 | 1 | 1 |
| Occupation | 554 | 386 | 70 | 168 | 30 | |
| Employed | 151 | 27 | 98 | 26 | 53 | 32 |
| Unemployed | 182 | 33 | 125 | 32 | 57 | 34 |
| Pensioner | 221 | 40 | 163 | 42 | 58 | 34 |
| Health rate | 629 | 451 | 72 | 178 | 28 | |
| Poor | 145 | 23 | 134 | 29 | 11 | 6 |
| Good | 484 | 77 | 317 | 70 | 167 | 94 |
| Health Insurance | 629 | 451 | 72 | 178 | 28 | |
| No | 142 | 23 | 84 | 19 | 58 | 33 |
| Yes | 487 | 77 | 367 | 81 | 120 | 67 |
| Benefit socioeconomic aid | 629 | 451 | 72 | 178 | 28 | |
| No | 515 | 82 | 348 | 77 | 167 | 94 |
| Yes | 114 | 18 | 103 | 23 | 11 | 6 |
| Chronic conditions | 629 | 451 | 72 | 178 | 28 | |
| 0 | 231 | 37 | 155 | 34 | 76 | 43 |
| 1 | 279 | 44 | 192 | 43 | 87 | 49 |
| Two or above | 119 | 19 | 104 | 23 | 15 | 8 |
| Years suffering from NCDs | 379 | 277 | 73 | 102 | 27 | |
| 2 (≤2) years | 87 | 23 | 55 | 20 | 32 | 31 |
| >2 years | 292 | 77 | 222 | 80 | 70 | 69 |
| No of times facility attended | 629 | 451 | 178 | |||
| ≤1 | 140 | 22 | 82 | 18 | 58 | 33 |
| ≥2 | 489 | 78 | 369 | 82 | 120 | 67 |
NCDs, non-communicable diseases; PHC, primary healthcare.
Figure 2Principal reasons for using healthcare facility type†. †Percentage of positive agreements were obtained by patients ‘ratings of each item as ‘important’ or ‘very important’ when consulting public and private facilities. PHC, primary healthcare.
Principal reasons for using the health facility type (rating of items as ‘important’ or ‘not important’)
| Variables | Total population | Public PHC | Private outpatient clinics | P value* | P value† | |||
| N | % | N | % | N | % | |||
| Location of the health facility | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 227 | 36 | 68 | 15 | 159 | 89 | <0.001 | <0.001 |
| Yes | 402 | 64 | 383 | 85 | 19 | 11 | ||
| Waiting time | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 277 | 44 | 163 | 36 | 114 | 64 | <0.001 | <0.001 |
| Yes | 352 | 56 | 288 | 64 | 64 | 36 | ||
| Quality of service | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 15 | 2 | 12 | 3 | 3 | 2 | 0.5 | 0.7 |
| Yes | 614 | 98 | 439 | 97 | 175 | 98 | ||
| Cost of service affordable | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 253 | 40 | 124 | 27 | 129 | 72 | <0.001 | <0.001 |
| Yes | 376 | 60 | 327 | 73 | 49 | 28 | ||
| Staff courtesy | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 18 | 3 | 15 | 3 | 3 | 2 | 0.3 | 0.4 |
| Yes | 611 | 97 | 436 | 97 | 175 | 98 | ||
| Health insurance | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 399 | 63 | 229 | 51 | 170 | 96 | <0.001 | <0.001 |
| Yes | 230 | 37 | 222 | 49 | 8 | 4 | ||
| Medical devices | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 465 | 74 | 409 | 91 | 56 | 33 | <0.001 | <0.001 |
| Yes | 164 | 26 | 42 | 9 | 122 | 67 | ||
| Availability of qualified health staff | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 16 | 3 | 12 | 7 | 4 | 2 | 0.7 | 0.8 |
| Yes | 613 | 97 | 439 | 93 | 174 | 98 | ||
| Possibility to choose the doctor | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 421 | 67 | 287 | 64 | 134 | 75 | 0.005 | 0.001 |
| Yes | 208 | 33 | 164 | 36 | 44 | 25 | ||
| Availability of health information | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 180 | 29 | 103 | 23 | 77 | 43 | <0.001 | <0.001 |
| Yes | 449 | 71 | 348 | 77 | 101 | 57 | ||
| Privacy respected | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 43 | 7 | 40 | 9 | 3 | 2 | 0.001 | 0.01 |
| Yes | 586 | 93 | 411 | 91 | 175 | 98 | ||
| Cleanliness of the facility | 629 | 451 | 71.7 | 178 | 28.3 | |||
| No | 167 | 27 | 165 | 37 | 2 | 2 | <0.001 | <0.001 |
| Yes | 462 | 73 | 286 | 63 | 176 | 98 | ||
*P values using χ2 tests.
†The p values are obtained from mixed logistic regression models adjusting for potential clustering within the facilities attended.
PHC, primary healthcare.
Figure 3Radar chart plots: mean scores of access domains in patients of public and private clinics. PHC, primary healthcare.
ORs of attending a public health facility associated with different patient characteristics
| Variables/factors | OR | P value | 95% CI |
| Gender | |||
| Female | 0.64+ | 0.07 | 0.40 to 1.04 |
| Age | |||
| >60 years | 0.73 | 0.46 | 0.32 to 1.68 |
| Education | |||
| High school (12 years) | 0.96 | 0.9 | 0.50 to 1.86 |
| Primary 9 years) | 0.79 | 0.49 | 0.40 to 1.55 |
| Other | 1.95 | 0.59 | 0.18 to 21.3 |
| Occupation | |||
| Unemployed | 1.1 | 0.76 | 0.61 to 1.98 |
| Pensioner | 0.85 | 0.71 | 0.35 to 2.04 |
| Benefiting socioeconomic aid | |||
| Yes | 3.52 | 0 | 1.64 to 7.56 |
| Health insurance | |||
| Insured | 1.35 | 0.3 | 0.76 to 2.38 |
| Chronic conditions | |||
| 1 chronic cond. | 1.22 | 0.53 | 0.66 to 2.25 |
| 2 or more chronic cond | 3.13* | 0.01 | 1.36 to 7.24 |
| Health condition | |||
| Poor health | 5.59 | 0 | 2.62 to 11.9 |
*Statistically significant+by-trend statistically significant, p=0.07+; ORs were obtained from a mixed logistic regression model including all the variables listed in the table along with random intercepts for the three subterritorial divisions of Fier region.